# ZeroStone AI > ZeroStone AI Inc. is an operator-led AI transformation consulting and agentic AI engineering firm headquartered in Toronto, Canada. We help enterprises move from AI-curious to AI-native through strategic advisory (7-phase methodology), hands-on AI engineering (agentic AI systems, ML pipelines, production infrastructure), and human-centered change management. We serve Retail, Legal, Transportation, Healthcare, Financial Services, Manufacturing, Telecommunications, Real Estate, and Enterprise Operations. Keywords: AI transformation, agentic AI, AI-native, value stream analysis, fractional Chief AI Officer, AI consulting, enterprise AI, AI strategy, operator-led. - Website: https://zerostone.ai - LinkedIn: https://www.linkedin.com/company/zerostoneai/ - Contact: https://zerostone.ai/contact - Full version of this file: https://zerostone.ai/llms-full.txt ## Overview The cost of intelligence is approaching zero. This is a fundamental shift in unit economics — organizations can now decouple revenue from headcount. Competitors who integrate AI will operate with radically lower marginal costs and faster execution loops. Organizations that fail to adapt will become structurally uncompetitive. ZeroStone helps leaders navigate this shift. We're the rare combination: business operators who scaled companies and AI architects who built enterprise systems. We don't just optimize what you do today — we help you build intelligence into every workflow, create entirely new products and capabilities, and establish competitive moats competitors can't replicate. Results over reports. Execution over exploration. Impact you can measure. We pursue two types of value: - Operational Evolution: Radically boost productivity, reshape teams and roles to work alongside AI, reduce costs while maintaining or increasing output, reclaim cognitive capital for higher-value work. - New Value Creation: Solve unmet customer needs with AI-native products, create sustainable revenue engines and new business models, build digital moats with data feedback loops competitors cannot replicate, transform from operator to market disruptor. We engage as your fractional Chief AI Officer — an extension of your leadership team. A multi-operator team that guides technical, product, and human transformation. Custom partnership. Modular and flexible. ### AI Transformation (https://zerostone.ai/services/ai-transformation) Strategic advisory guiding organizations from AI-curious to AI-native. We map where AI creates value, build your capability to execute, and guide the full transformation journey — from value stream analysis to production deployment to cultural readiness. - 7-Phase Methodology: Preliminary Analysis → Structured Discovery → Executive Alignment → Solution Design & Prioritization → Financial Validation → Value Quantification → Implementation Roadmap - Human-centered change management addressing the fear, resistance, and identity shifts that come with AI adoption - Investment-grade business cases with NPV, IRR, and payback period validation - Ideal for enterprises with $100M+ revenue where the CEO is aligned and leadership is committed What you get: Strategic clarity mapped to your actual value streams. Quantified business cases with validated cost baselines. Proven methodology hardened through multiple exits. PhD-level technical excellence. Human-centered change coaching. Lasting capability to continuously innovate with AI. ### AI Engineering (https://zerostone.ai/services/ai-engineering) Design, build, and deploy production AI systems that transform operations or create entirely new products. Outcome-based pricing. Production-grade execution. What we build: Autonomous agent systems (customer service, operations, analytics), AI-native products and features, production infrastructure (cloud-native data architecture, model pipelines, real-time processing, monitoring & observability). Pricing (T-shirt sizing): S ($50K-$150K, 4-8 wks) | M ($150K-$400K, 8-16 wks, most popular) | L ($400K-$1M+, 3-6 mo) Deployment: We Build You Manage | We Build We Support | Fully Managed Service Example engagements: Healthcare patient triage agent (8 wks, significantly reduced wait times), financial services compliance monitor (12 wks, caught issues dramatically faster), manufacturing supply chain intelligence (16 wks, materially reduced carrying costs, eliminated stockouts). ### Industries We Serve (https://zerostone.ai/industries) Every industry faces unique AI opportunities and constraints. We bring deep domain expertise and operator experience. - Retail — Personalized at Scale: AI shopping assistant, semantic product search, AI-generated content & imagery - Legal — Research to Results, Faster: AI-assisted contract drafting, contract analysis, intelligent due diligence - Transportation — End-to-End Logistics Intelligence: Network optimization, intelligent 3PL & carrier management, AI-powered vendor communications - Healthcare — Patient Journey Optimization: Voice agent for clinic administration, intelligent patient triage, clinical documentation automation - Financial Services — Compliance Without Compromise: Real-time compliance monitoring, intelligent underwriting, personalized financial advisory - Manufacturing — Resilient Operations: Digital twin simulation, intelligent supply chain, real-time quality control - Telecommunications — Predictive Network Excellence: Predictive network maintenance, intelligent customer support, dynamic network optimization - Real Estate — Portfolio Intelligence: Automated tenant services, lease agreement processing, intelligent property valuation - Enterprise Operations — Intelligence Across the Organization: Enterprise process navigator, AI-native developer enablement, knowledge management AI ### Our Approach (https://zerostone.ai/approach) Operator instincts + technical rigor. Core principles: Two Types of Value (efficiency + innovation), Intelligence Everywhere, Operators + Engineers, One Team at a Time (technology is the easy part — the friction is human), Speed Without Shortcuts, We GSD. Methodology: Discovery → Analysis → Prioritization → Execution → Scale. Built from operating systems the founding team used to scale their own companies, hardened through multiple exits. What sets us apart: Operator-led expertise (former CEOs, COOs), PhD-level technical excellence, human-centered change management, no-nonsense execution (no 200-slide decks, no 6-month diagnostics). Engagement models: Assessment → Proof of Value → Foundation → Scale. Custom partnership. Modular and flexible. ### Leadership Team (https://zerostone.ai/about) - James Baskin — Founder & CEO: Five-time founder (3 exits). 25+ years in cloud, telco, healthcare, retail, AI. - Ricardo Baltazar, PhD — Chief AI Officer: PhD Neuroscience. Former Canadian Tire Emerging Technology. Agentic AI systems. - Brice Scheschuk, CPA — Chief Strategy Officer: Co-founder WIND Mobile. CEO Globalive Communications. 30+ years. - Sabrina Sdao — Chief Client Officer: Executive advisor leading go-to-market and client development. Advised hundreds of organizations. - Andrew Goddard — Director, AI Enablement: 8 years retail. Built developer communities around AI and automation. Leads enablement and modern work adoption at ZeroStone. - Kevin Conrad — Principal AI Architect: 10 years production AI/ML. Former Canadian Tire Innovation Lab. - Evan Sinukoff, PhD — Principal, AI Engineering: PhD Astronomy. Lead production deployment engineer. - Alex White — Principal Software Architect: 15+ years building mission-critical platforms, with 15 years in healthcare communications. Leads platform architecture across enterprise identity, multitenant SaaS, multi-cloud. Advisory Board: Lucia Milică Stacy (CISO, Stanley Black & Decker). ### Resources, Careers & Contact - [Resources](https://zerostone.ai/resources): Insights, frameworks, and perspectives on AI transformation. Featured publications and downloadable guides. - [Careers](https://zerostone.ai/careers): Open positions — Senior AI Engineer, AI Transformation Consultant, Solutions Architect. Toronto / Remote. - [Contact](https://zerostone.ai/contact): Schedule a discovery call. We respond within 24 hours. - [Privacy & Data Security](https://zerostone.ai/privacy): AES-256 encryption, PIPEDA/ISO 27001/SOC 2 aligned, PII de-identification, Canadian data sovereignty, 72-hour breach notification. --- The sections below contain the full, detailed content from each page on zerostone.ai. ## AI Transformation — Full Detail URL: https://zerostone.ai/services/ai-transformation Transform Your Business from AI-Curious to AI-Native. We map where AI creates value, build your capability to execute, and guide the full transformation journey. From value stream analysis to production deployment to cultural readiness, we partner with you through every dimension. ### The Cost of Intelligence is Approaching Zero This is not a productivity enhancement. It is a fundamental shift in unit economics. For the first time in history, organizations can decouple revenue from headcount. Competitors who integrate AI will operate with radically lower marginal costs and faster execution loops. Organizations that fail to adapt will not simply be "slower" — they will become structurally uncompetitive. Priced out by rivals who have automated routine tasks and liberated their people to focus on high-leverage work. The question is not whether to transform. It is how fast you can move while maintaining operational integrity. ### Efficiency and Innovation — Two Types of Value We pursue both types of value: optimizing the core while inventing the future. Operational Evolution — Capture value through efficiency and cost reduction: - Radically boost productivity in current operations - Reshape teams and roles to work alongside AI - Reduce costs while maintaining or increasing output - Reclaim cognitive capital for higher-value work New Value Creation — Capture value through growth and Blue Ocean opportunities: - Solve unmet customer needs with AI-native products - Create sustainable revenue engines and new business models - Build digital moats with data feedback loops competitors cannot replicate - Transform from operator to market disruptor Both require a meaningful departure from the status quo. Both require more than software. They require an organization ready to receive it. ### Investment-Grade AI Initiatives (7-Phase Methodology) We don't guess. We map. Our methodology anchors every AI opportunity to your actual value streams, ensuring every initiative ties to a real business outcome. Phase 1 — Preliminary Analysis: Outside-in analysis of your operations, organizational structure, and competitive positioning. We develop preliminary value stream hypotheses before our first meeting. Phase 2 — Structured Discovery: Direct stakeholder engagement to validate our analysis. Structured interviews with process owners, functional leaders, and operational staff. We document current-state processes, technology infrastructure, and organizational capabilities. Phase 3 — Executive Alignment: Secure alignment on value stream definitions. Systematically identify operational constraints and strategic opportunities. Quantify pain points across time-based costs, financial costs, and throughput limitations. Phase 4 — Solution Design & Prioritization: Translate pain points into AI initiatives with clear value propositions. Map opportunities to specific AI capabilities: automation, prediction, optimization, personalization. Prioritize using our Value-Effort-Certainty framework. Phase 5 — Financial Validation: Establish auditable cost baselines for each value stream. Collaborate with your finance team to validate cost allocations. Calculate initiative-level value using NPV, IRR, and payback period. Phase 6 — Value Quantification: Develop investment-grade business cases for prioritized initiatives. Create detailed implementation charters with scope, timeline, and expected outcomes. Phase 7 — Implementation Roadmap: Sequence initiatives based on value realization timeline, dependency mapping, and resource constraints. Conduct capability gap analysis across Technology, Process, and Talent dimensions. Define target operating model for AI-native organization. ### Human-Centered Change Management While the transformation is technological, the friction is human. We define cultural and organizational readiness differently than most. It is not a governance framework or a compliance checklist. Readiness is entirely about people — the specific human beings in whom fear and insecurity live. These emotions are powerful forces. Left unaddressed, they manifest as resistance that can thwart AI transformation before it even begins. The Unspoken Concerns: - Redefining Authority: Leaders who measure success by headcount worry that efficiency gains will reduce their scope and influence. - Fear of Exposure: Radical transparency of AI-driven workflows may highlight inefficiencies in current management approaches. - Role Identity: Technical leaders may fear that AI invalidates hard-earned expertise, rather than seeing it as a tool to amplify that expertise. Our Approach: 1. Identify — Look beyond surface-level objections to understand root causes. Identify which leaders are enthusiastic champions, which are simply unsure, and which are actively resistant. 2. Engage — Facilitate high-trust conversations to address the elephant in the room. Move away from technical specs and toward personal impact. Help leaders see their evolved role. 3. Coach — Empower through action. Work directly alongside your leaders as part of their team. Build first iterations of new workflows together. Turn abstract fear into practical confidence. ### What You Get - Strategic Clarity: Precise understanding of where AI creates value, mapped to your actual value streams, not generic industry templates. - Investment-Grade Initiatives: Quantified business cases with validated cost baselines, projected value realization, and implementation timelines. - Proven Methodology: Operating systems we built to scale our own companies. Hardened by real-world challenges and refined through multiple exits. - Technical Excellence: PhD-level AI research. Enterprise-grade engineering. Production-scale infrastructure. World-class execution from day one. - Human-Centered Change: We address the fear of obsolescence. Coaching and support to ensure your people define the transition. - Lasting Capability: We don't just deliver projects. We build your capability to continuously innovate with AI. You become the disruptor. ### Your Chief AI Officer We engage as an extension of your leadership team. A multi-operator team that guides technical, product, and human transformation with deep expertise, experience, and empathy. Custom partnership. Modular and flexible. We move at your pace, within your constraints. ### Ideal Client Profile This is for you if: - Your organization generates over $100M in revenue - The CEO is aligned and prepared to champion the evolution - Leadership is committed to transformation, not just exploration - You're ready to move beyond scattered pilots to enterprise-wide change - You want both efficiency gains and new capabilities - You understand that technology is the easy part — culture is the real work This is not for you if: - You're looking for a vendor, not a partner - Leadership is divided or uncommitted - You want a slide deck, not implementation - You're optimizing for optics, not outcomes We have entered an era of structural discontinuity. The cost of intelligence is approaching zero. Organizations that successfully integrate AI will operate with radically lower costs and faster execution. Organizations that don't will become structurally uncompetitive. --- ## AI Engineering — Full Detail URL: https://zerostone.ai/services/ai-engineering Ship Intelligent Systems at Startup Speed. We design, build, and deploy AI systems that transform operations or create entirely new products. Outcome-based pricing. Production-grade execution. ### The Opportunity AI makes three things possible: 1. Autonomous Operations — Work that happens without human intervention. 2. Intelligent Products — Capabilities that were impossible before. 3. Competitive Moats — Advantages competitors can't replicate. The bottleneck isn't AI capability. It's execution speed and quality. ### What We Build Autonomous Agent Systems — AI that reasons, decides, and acts independently: - Customer service agents (triage, resolution, escalation) - Operations agents (workflow orchestration, exception handling) - Analytics agents (reporting, anomaly detection, predictive insights) - Deploy in weeks. Scale as needed. AI-Native Products — Build entirely new capabilities powered by AI: - Intelligent features for existing products - New revenue streams and business models - Industry-specific AI applications - Co-develop or build for you. Production Infrastructure — Scalable platforms that power AI at scale: - Cloud-native data architecture - Model deployment pipelines - Real-time processing systems - Monitoring & observability - Built for reliability and scale. ### Pricing — T-Shirt Sizing (Outcome-Based) - S (Small): Single agent or feature. 4-8 weeks. $50K-$150K. - M (Medium, Most Popular): Multi-agent system. 8-16 weeks. $150K-$400K. - L (Large): Platform or product. 3-6 months. $400K-$1M+. ### Deployment Models 1. We Build, You Manage — One-time engagement. We hand off running system. 2. We Build, We Support — Initial build + ongoing support and optimization. 3. Fully Managed Service — We build and operate. You focus on your business. ### What Makes Our Engineering Different - AI-Native Development: We leverage AI to build AI. Ship dramatically faster than traditional approaches. - Operator Mindset: Built by people who ran companies. We understand reliability, security, compliance. - Production-Grade: No prototypes. Everything ships ready for scale. - Transparent Execution: Clear milestones. Regular demos. No surprises. ### Example Engagements - Healthcare: Patient Triage Agent — 8-week build. Autonomous patient intake and routing system. Significantly reduced wait times. Freed clinical staff for complex cases. - Financial Services: Compliance Monitor — 12-week build. Real-time transaction monitoring with automated reporting. Caught issues dramatically faster. Eliminated the majority of manual review. - Manufacturing: Supply Chain Intelligence — 16-week build. Predictive ordering and inventory optimization. Materially reduced carrying costs. Eliminated stockouts. ### Typical Engagement Timeline - Week 1-2: Scope definition, architecture design - Week 3-8: Core development, iterative demos - Week 9-10: Testing, security review, deployment prep - Week 11-12: Production deployment, monitoring setup - Continuous delivery throughout. You see progress weekly. ### Who This Is For - Teams that need to ship fast without sacrificing quality - Organizations building AI-powered products - Companies deploying intelligent operations systems - Leaders tired of slow, expensive traditional development --- ## Our Approach — Full Detail URL: https://zerostone.ai/approach Our Approach: Speed Meets Precision. We combine operator instincts with technical rigor. The result: AI transformation that delivers measurable business impact without the typical consulting overhead. ### Core Principles 1. Two Types of Value — We optimize what you do today and build what's possible tomorrow. Efficiency: transform existing workflows, radically boost productivity. Innovation: create entirely new products, services, and revenue streams. Both matter. We pursue both. 2. Intelligence Everywhere — We don't bolt AI onto existing processes. We weave intelligence throughout your entire operation. Every workflow. Every system. Every touchpoint. The goal: AI-native organization, not AI-adjacent. 3. Operators + Engineers — We're the rare combination: business leaders who built companies and technical experts who architected systems. We understand P&L pressure and production deployment challenges. Strategy and execution. What to build and how to ship it. 4. One Team at a Time, One Person at a Time — Technology is the easy part. The friction is human. We don't just deploy software; we navigate the human journey of transformation. We acknowledge the fear, honor the resistance, and provide the coaching to turn hesitation into agency. We transform your organization one team at a time, one person at a time. 5. Speed Without Shortcuts — We ship fast. We never compromise on security, compliance, or quality. Production-grade execution from day one. Iterate rapidly within proper guardrails. 6. We GSD — Execution over analysis. We don't deal in 6-month delays or paper-heavy strategies. We focus on lean implementation and immediate business impact. ### Methodology Discovery → Analysis → Prioritization → Execution → Scale We didn't invent this process in a classroom. These are the operating systems we built to scale our own companies. Hardened by real-world challenges and refined through multiple exits. Our methodology removes the guesswork from transformation by anchoring every AI opportunity to your actual value streams: the end-to-end sequences of processes that deliver core value to your customers and stakeholders. ### What Sets Us Apart - Operator-Led Expertise: Our leadership team includes former CEOs, COOs, and functional executives. We've built companies, scaled operations, and navigated transformation from the inside. We understand the pressures and constraints leaders face because we've lived them. - Technical Excellence: PhD-level AI research. Enterprise-grade engineering. Production-scale infrastructure. We combine cutting-edge AI capabilities with battle-tested software practices. - Human-Centered Change: We treat cultural readiness as a strategic survival mechanism. We navigate the human friction of AI, one team at a time, one person at a time, turning fear into agency. - No Nonsense: No 200-slide strategy decks that collect dust. No 6-month diagnostics that produce nothing actionable. No strategy without implementation. Just measurable business results. ### Engagement Models We meet you where you are and guide you where you need to go. 1. Assessment — Understand your opportunity landscape 2. Proof of Value — Demonstrate impact with quick wins 3. Foundation — Build infrastructure for scale 4. Scale — Transform the entire organization Custom partnership. Modular and flexible. We move at your pace, within your constraints. --- ## About Us & Team — Full Detail URL: https://zerostone.ai/about Operators and Builders Focused on Your Success. We're former operators who understand the pressure of P&L responsibility, the complexity of organizational change, and the reality of resource constraints. ### Our Story ZeroStone was founded on a simple premise: AI transformation requires both deep technical expertise and real-world business experience. We're former operators who understand the pressure of P&L responsibility, the complexity of organizational change, and the reality of resource constraints. We're also world-class technologists who push the boundaries of what's possible with AI and data. Our mission: Help leaders navigate AI transformation with confidence, moving from curiosity to competitive advantage. ### Leadership Team - James Baskin — Founder & CEO: Five-time founder (3 exits). 25+ years leading growth in cloud, telco, healthcare, retail, and AI. Chemical engineering foundation brings first-principles thinking to business transformation. LinkedIn: https://www.linkedin.com/in/jamesbaskin/ - Ricardo Baltazar, PhD — Chief AI Officer: PhD Neuroscience. Former head of Emerging Technology at Canadian Tire Corporation. Built and scaled enterprise AI programs. Focused on agentic AI systems capable of reasoning, adaptation, and autonomous execution. LinkedIn: https://www.linkedin.com/in/ricardo-baltazar-phd/ - Brice Scheschuk, CPA — Chief Strategy Officer: Co-founder of WIND Mobile. CFO and CEO of Globalive Communications. Managing Partner of Globalive Capital. 30+ years building companies through technological shifts. LinkedIn: https://www.linkedin.com/in/brice-scheschuk-cpa-ca-095721a/ - Sabrina Sdao — Chief Client Officer: Executive advisor, leading ZeroStone's go-to-market and client development. She has advised and transformed hundreds of organizations, focusing on people, processes, and technology. LinkedIn: https://www.linkedin.com/in/sabrina-sdao-17630410/ - Andrew Goddard — Director, AI Enablement: 8 years in retail, building developer communities around AI and automation. At ZeroStone, leads enablement, bridging tech and the people who use it, and making modern work adoption how things get done. LinkedIn: https://www.linkedin.com/in/andrew-goddard-92480b110/ - Kevin Conrad — Principal AI Architect: 10 years building production AI/ML systems. Led development of Gen AI, agentic AI, and ML-powered applications serving millions. Previously led technical teams at Canadian Tire's Innovation Lab. LinkedIn: https://www.linkedin.com/in/kevin-conrad-92554583/ - Evan Sinukoff, PhD — Principal, AI Engineering: PhD in Astronomy. Lead engineer for ZeroStone's production deployments. Formerly at Canadian Tire, instrumental in building scalable agentic systems for enterprise impact. LinkedIn: https://www.linkedin.com/in/evan-sinukoff/ - Alex White — Principal Software Architect: 15+ years of experience building mission-critical platforms, including 15 years architecting healthcare communications systems. Now leads platform architecture across enterprise identity, multitenant SaaS, and multi-cloud infrastructure. LinkedIn: https://www.linkedin.com/in/alexwhite1/ ### Advisory Board - Lucia Milică Stacy — CISO, Stanley Black & Decker. Senior security leader for Fortune 500s. Expert in data privacy and cybersecurity risk. LinkedIn: https://www.linkedin.com/in/luciamilica/ ### Our Values - Kindness, Clarity, Empathy, Honesty — We engage each other and our clients with respect and transparency. - Intellectual Honesty — If we don't know, we say so. If we know, we act. - Quality Standards — We only ship work we'd be willing to accept as clients ourselves. - Pace and Precision — When there's work to be done, we execute with speed and accuracy. - Team First — Outside of family, our team is our priority. We support each other. - AI-Native Organization — We weave intelligence into everything we do. - Continuous Learning — We take responsibility for understanding and integrating the latest technology. - Humility and Growth — We approach new problems with humility and seek personal growth. - Abundance Mindset — We view our mission as helping society navigate to an abundant existence. AI transformation isn't about replacing people. It's about amplifying human potential and creating new possibilities. --- ## Industries — Full Detail URL: https://zerostone.ai/industries AI Transformation Across Industries. Every industry faces unique AI opportunities and constraints. We bring deep domain expertise and operator experience to deliver transformation that respects your industry's reality. ### Retail — Personalized at Scale (https://zerostone.ai/industries/retail) Transform retail operations with AI that personalizes customer experiences, optimizes inventory, and creates seamless omnichannel journeys. Key use cases: AI shopping assistant, semantic product search, AI-generated product content & imagery. ### Legal — Research to Results, Faster (https://zerostone.ai/industries/legal) Transform legal practice with AI that accelerates research, automates document review, and enables lawyers to focus on high-value strategic work. Key use cases: AI-assisted contract drafting, contract analysis & review, intelligent due diligence. ### Transportation — End-to-End Logistics Intelligence (https://zerostone.ai/industries/transportation) Transform logistics operations with AI that optimizes entire distribution networks, maximizes asset utilization, and orchestrates seamless coordination across carriers and partners. Key use cases: End-to-end network optimization, intelligent 3PL & carrier management, AI-powered vendor communications. ### Healthcare — Patient Journey Optimization (https://zerostone.ai/industries/healthcare) Transform patient care delivery with AI that enhances clinical decision-making, automates administrative burden, and creates personalized treatment pathways. Key use cases: Voice agent for clinic administration, intelligent patient triage, clinical documentation automation. ### Financial Services — Compliance Without Compromise (https://zerostone.ai/industries/financial-services) Build intelligent financial operations with AI that automates compliance, accelerates decision-making, and delivers hyper-personalized customer experiences. Key use cases: Real-time compliance monitoring, intelligent underwriting, personalized financial advisory. ### Manufacturing — Resilient Operations (https://zerostone.ai/industries/manufacturing) Build resilient, efficient manufacturing operations with AI that optimizes production, predicts equipment failures, and creates adaptive supply chains. Key use cases: Digital twin simulation & optimization, intelligent supply chain, real-time quality control. ### Telecommunications — Predictive Network Excellence (https://zerostone.ai/industries/telecommunications) Transform network operations with AI that predicts issues before they impact customers, automates support, and optimizes infrastructure investment. Key use cases: Predictive network maintenance, intelligent customer support, dynamic network optimization. ### Real Estate — Portfolio Intelligence (https://zerostone.ai/industries/real-estate) Modernize real estate operations with AI that optimizes property valuation, automates tenant services, and predicts maintenance needs. Key use cases: Automated tenant services, lease agreement & document processing, intelligent property valuation. ### Enterprise Operations — Intelligence Across the Organization (https://zerostone.ai/industries/enterprise-operations) Transform enterprise operations with AI that guides employees through complex processes, accelerates software development, and preserves institutional knowledge. Key use cases: Enterprise process navigator, AI-native developer enablement, knowledge management AI. Don't see your industry? Our methodology applies across industries. Contact us: https://zerostone.ai/contact --- ## Resources — Full Detail URL: https://zerostone.ai/resources Thinking from the Frontier. Insights, frameworks, and perspectives on AI transformation from operators who've done it. ### Featured Resources - "One Team at a Time, One Person at a Time" (Blog Post + PDF): Cultural & Organizational Readiness for AI Transformation. Transformation isn't just about software; it's about people. Learn how we navigate the human friction of AI, turning fear into agency and resistance into leadership. - "The AI Bubble Nobody is Talking About" (Point of View + PDF): By James Baskin. The real AI bubble isn't financial. It's organizational fragility. We explore the "Co-Pilot Trap," the failure of legacy vendors, and the identity crisis facing modern leadership. ### Downloads - AI Transformation Framework (PDF Guide): Our complete methodology for enterprise AI transformation. - Value Stream Analysis Template (Excel Template): Map your operations and identify AI opportunities. - AI Readiness Assessment (PDF Checklist): Evaluate your organization's readiness for AI transformation. ### Latest Insights - "The CFO's Guide to AI Investment" (Finance, 6 min read): How to build investment-grade business cases for AI initiatives that your board will approve. - "Agentic AI: Beyond the Hype" (Technology, 10 min read): What autonomous agents can actually do today, and what's still science fiction. - "Managing AI Resistance in Your Organization" (Change Management, 7 min read): Practical strategies for turning skeptics into champions. - "The Data Foundation Myth" (Infrastructure, 5 min read): Why 'getting your data right first' is often the wrong approach. - "AI Transformation in Healthcare: A Practical Guide" (Industry, 12 min read): Specific opportunities and considerations for healthcare organizations. --- ## Careers — Full Detail URL: https://zerostone.ai/careers Build the Future of AI Transformation. Join a team of operators and engineers who are helping organizations navigate the most significant technological shift of our lifetime. ### Why ZeroStone? - Meaningful Work: Help organizations transform with AI. See the direct impact of your work on businesses and the people in them. - Exceptional Team: Work alongside former CEOs, PhD researchers, and world-class engineers. Learn from the best. - AI-Native Culture: We practice what we preach. AI is woven into everything we do, amplifying your capabilities. ### Open Positions - Senior AI Engineer — Toronto / Remote, Full-time. Build production AI systems for enterprise clients. Deep experience with LLMs, agents, and MLOps required. - AI Transformation Consultant — Toronto / Remote, Full-time. Lead client engagements from discovery through implementation. 10+ years enterprise experience preferred. - Solutions Architect — Toronto / Remote, Full-time. Design and implement AI solutions across diverse client environments. Strong cloud architecture background. Don't see your role? We're always interested in meeting exceptional people: https://zerostone.ai/contact --- ## Contact — Full Detail URL: https://zerostone.ai/contact Let's Talk About Your AI Transformation. Whether you're exploring possibilities or ready to execute, we'd love to hear from you. Contact form available at https://zerostone.ai/contact — fields include Name, Email, Company, Role/Title, Company Size, Area of Interest, Phone, and Message. What Happens Next: 1. We'll respond within 24 hours 2. Schedule a brief discovery call (30 min) 3. Determine if there's a fit 4. Outline potential engagement approach 5. Move forward or part as friends "We're selective about who we work with. Transformation requires commitment from both sides. But that selectivity is what allows us to deliver exceptional results." --- ## Privacy & Data Security Policy — Full Detail URL: https://zerostone.ai/privacy Our comprehensive framework for protecting your data throughout every engagement. At ZeroStone, the security and privacy of your data form the cornerstone of our partnership. As we pioneer the future of business with advanced agentic AI solutions, we recognize that our most important responsibility is upholding the trust you place in us to handle your sensitive information with the utmost care, integrity, and confidentiality. This framework governs every aspect of our engagement — from initial financial analysis to building solutions to continuous managed services. ### 1. Data Transfer Security Recommended Transfer Methods: - Secure File Transfer Protocol (SFTP): SSH 2.0+ with public key cryptography (4096-bit RSA or 256-bit ECDSA minimum). - Cloud Storage with Time-Limited Access Tokens: Enterprise cloud storage (Azure Blob Storage, AWS S3) with time-limited, write-only access credentials. Preferred for large datasets (>10 GB). Storage containers isolated per client/project. Token expiration within 30 days maximum. Encryption via HTTPS with TLS 1.2+. Storage in Canadian cloud regions. Automatic access logging. Prohibited Transfer Methods (unless explicitly authorized by client in writing): Electronic mail, consumer-grade file sharing services (personal Dropbox, Google Drive, etc.), physical media (USB drives, external hard drives), unencrypted protocols (FTP, HTTP), public or anonymously accessible cloud storage. Encryption in Transit: TLS 1.2 or higher with Perfect Forward Secrecy cipher suites. Certificates issued by recognized Certificate Authorities and monitored for expiration. ### 2. Data Storage Security Encryption at Rest: AES-256 symmetric encryption. Keys managed through industry-standard key management services, stored separately from encrypted data. Annual key rotation minimum. Storage Infrastructure: Encryption enabled by default. Access restricted via role-based access control. Geographic storage per client agreements. Backups encrypted to same standard as production data. Data Segregation: Logical separation by tenant in multi-tenant environments. Technical controls prevent cross-client data access. Operations Within Client Infrastructure: ZeroStone personnel comply with all client security policies. Access granted through client-controlled identity and access management. Activities subject to client security monitoring. Development in client-designated network segments. Data residency within client infrastructure boundaries. Privileged access time-limited and client-approved. Security incidents reported immediately. Operations Within ZeroStone Infrastructure (subject to client authorization): Dedicated logically isolated environments. ZeroStone security standards per this policy. Data minimization (minimum data necessary). Client audit rights maintained. Secure return/deletion upon completion. Data Sovereignty and Geographic Storage: Canadian cloud regions prioritized. US-based services as secondary with client agreement. No transfers outside CA/US without explicit written authorization. Clients informed of specific geographic locations prior to commencement. Changes require written client approval. ### 3. PII Management Detection: Automated PII detection prior to ML/AI processing — personal names, email addresses, phone numbers, government identifiers (SSN, driver's license, passport), financial information (credit card, bank account), physical addresses, dates of birth, IP addresses. PII Handling (risk-based approach): - De-Identification (Preferred): Pseudonymization with realistic replacements for names, domain-preserving pseudonymization for emails, format-preserving tokenization for phone numbers, geographic region-preserving replacement for addresses, date shifting with interval preservation, format-preserving encryption for numeric identifiers. - Controlled PII Processing (when business requires): Explicit written client authorization defining specific PII elements and business justification. Purpose limitation. Enhanced access controls with additional logging. AES-256 encryption with hardware security module key management. Minimum retention period. Processing within client infrastructure unless otherwise authorized. Validation: Manual review on sample (10-20 records minimum) to verify PII removal. Anonymization report documenting detected entity types, methods applied, and validation results. Data Handling for De-Identified Data: Raw PII data securely deleted following successful anonymization and validation. Only de-identified data used for subsequent ML/AI operations. ### 4. Third-Party Service Providers LLM Providers: Business/enterprise tier API only (consumer-grade prohibited). Maximum 30-day data retention with automatic deletion. Training prohibition contractually guaranteed. SOC 2 Type II or ISO 27001 required. Data Sent to Third-Party Providers: Default policy is PII removal per Section 3. With explicit written client authorization, PII may be processed through providers meeting business/enterprise tier, retention, and training requirements. ### 5. Access Controls Access Management: Least privilege. Role-based access control. Quarterly access reviews; unnecessary access revoked immediately. Access revoked within one hour upon separation/termination. Authentication: Multi-factor authentication (MFA) required for all access. Password minimum 12 characters with complexity. API keys stored in secrets management, rotated quarterly. Activity Logging: User identifier, timestamp, actions performed (read, write, delete, export), source IP, authentication method, success/failure status. Operational logs retained 90 days. Security logs retained 1 year. Stored in tamper-evident systems with restricted access. ### 6. AI System and Agent Security Agent Identity: Unique non-human identity (service principal or managed identity) per AI agent. Same least privilege and role-based access control as human users. Permissions scoped to specific function. Secure non-exportable credentials. Automated lifecycle management tied to AI solution lifecycle. Secure Monitoring: Continuous monitoring of AI agent activities within secure, isolated environments. Behavioral logging of all actions, decisions, and data interactions for security auditing. ### 7. Risk Management Risk Assessment: Regular assessments identifying threats, vulnerabilities, and potential impacts on confidentiality, integrity, and availability. Analysis of likelihood and impact. Evaluation against pre-defined risk acceptance criteria. Conducted periodically and upon significant environment changes. Risk Treatment: Mitigation (apply security controls), Transfer (insurance/contracts), Acceptance (documented, management-approved), Avoidance (discontinue risky activity). Controls aligned with ISO/IEC 27001:2022, Annex A. ### 8. Data Retention and Deletion Retention Periods: - Raw client data: Per client agreement or immediate deletion post-anonymization - Anonymized ML datasets: 3 years following project completion - System logs (operational): 90 days - System logs (security): 1 year - Backup data: 30 days Secure Deletion: Cryptographic erasure (encryption key destruction) or multi-pass overwrite per NIST SP 800-88. Client-Initiated Deletion: Processed within 30 days. Written confirmation provided. Minimal metadata retained for legal/audit purposes per client agreement. ### 9. Incident Response Client notification within 72 hours of confirmed breach. Notification includes incident description, data affected, remediation measures, and recommended client actions. Detailed incident report provided following investigation completion. ### 10. Compliance and Standards Alignment Canadian Data Protection: Aligned with PIPEDA (Personal Information Protection and Electronic Documents Act) and applicable provincial privacy legislation. Principles of consent, limited collection, appropriate use, and individual access rights. Security Framework: Information Security Management System designed consistent with ISO/IEC 27001:2022 and SOC 2 principles. Controls address confidentiality, integrity, availability, monitoring, and incident response. Documentation Availability (subject to confidentiality agreements): Data processing procedures and controls, security assessment methodologies, third-party vendor security postures, subprocessor arrangements. ### 11. Client Data Rights Rights under data protection law: Access (request copies), Rectification (request correction), Erasure (request deletion, subject to legal retention), Portability (structured format), Restriction (limit processing), Objection (object to specific processing). Requests acknowledged within 5 business days, completed within 30 days. --- © 2026 ZeroStone AI Inc. All rights reserved.