AI Implementation and Pilot Programs 

At 2Oaks, we take organizations from AI curiosity to production-grade AI capability. Most enterprise AI pilots stall before reaching production. Our service delivers focused pilots that solve specific operational problems and are engineered for production from the first line of code. Typical pilots target measurable operational pain points: claims triage, customer service augmentation, regulatory reporting and reconciliation, internal knowledge search, or code review acceleration. 

Key Components of Our Service

  • Successful pilots focus on proving value, not testing technology. Our team will: 

    • Define success criteria and quantitative thresholds before work begins 

    • Scope pilots to fit a focused four-to-twelve-week window with a clear production exit path 

    • Select the right architecture for the problem from the available AI tooling options 

  • Pilots stall when they depend on hypothetical future capacity. We build them end-to-end: 

    • Stand up the search indexes, knowledge bases, and patterns required for the pilot 

    • Implement custom agents with tool integrations for your enterprise systems 

    • Apply production-grade security and identity patterns from day one 

  • Pilots stall when they depend on hypothetical future capacity. We build them end-to-end: 

    • Stand up the search indexes, knowledge bases, and patterns required for the pilot 

    • Implement custom agents with tool integrations for your enterprise systems 

    • Apply production-grade security and identity patterns from day one 

  • Pilot success creates momentum only if it is converted into production investment. We help: 

    • Harden the pilot with networking, identity, content filters, and cost controls 

    • Document reusable patterns, prompt libraries, and architectural decisions 

    • Build internal team capability through pair work and knowledge transfer 

Partner with 2Oaks to move from AI possibility to AI proof, with pilots engineered for production from day one and reusable foundations for everything that follows. 

Insights from our 2Oaks Team

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If AI innovation scales faster than our guardrails, that’s a recipe for risk." In this edition of the 2Oaks CIO Spotlight Series, Dr. Marry Gunaratnam, SVP of IT at Northern Credit Union, challenges the industry's "rush to deploy." From conducting deep AI maturity assessments to fighting "shadow AI" through enterprise-wide literacy, Northern is proving that the secret to moving fast in the future is building a rock-solid governance foundation today. Discover how they are redefining competition—moving beyond the "Big Six" to compete with the seamless experiences of fintechs—while ensuring every AI initiative is built on a philosophy of security by default and privacy by design.

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"Is your AI guessing?" It’s a question that keeps many technology leaders up at night, and for Chris Palmer, CITO of Libro Credit Union, the answer depends entirely on your data. With industry reports suggesting that 95% of AI pilots fail to deliver ROI, Libro is taking a different path—one that prioritizes augmentation over automation and data preparation over marketing hype. From using AI to fight "the evil side" of fraud to reimagining digital banking as a conversation, explore how Libro is building a foundation of governance and quality data to ensure their AI journey delivers real value for members and staff alike.

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In an industry obsessed with speed, UNI Financial is doing something radical: they are slowing down. CIO Tyson Johnson has watched other institutions rush headlong into AI deployments, only to stumble. Instead of chasing immediate productivity gains, Johnson is leading UNI Financial through the unglamorous but essential work of "level-setting"—building a common language around AI, strengthening data foundations, and establishing robust governance frameworks. Discover why the path to sustainable AI success starts with a breath, a pause, and a commitment to getting the fundamentals right before leaping into the journey.

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AI Maturity Technical Brief

  • At 2Oaks Consulting, we assess your organization's preparedness for AI adoption across technology, people, processes, and policy. Our assessment is anchored in Microsoft's seven-pillar AI Readiness Model, paired with hands-on evaluation of your Microsoft Foundry, Azure OpenAI, and Microsoft Purview posture. The output is a clear picture of where you stand today and a practical roadmap for where to go next. 

    The seven pillars of the AI Readiness Model are: 

    1. Business Strategy 

    2. AI Governance and Security 

    3. Data Foundations 

    4. AI Strategy and Experience 

    5. Organization and Culture 

    6. Infrastructure for AI 

    7. Model Management 

  • Understanding where you stand today is the foundation for everything that follows. Working pillar by pillar across the Microsoft AI Readiness Model, our team will: 

    • Level-set leadership and technical maturity against each of the seven pillars, surfacing skill gaps, change-management needs, and resource constraints 

    • Evaluate technology infrastructure, data estate quality, and integration readiness for Microsoft Foundry, Azure OpenAI, Azure AI Search, and Microsoft Fabric workloads 

    • Assess your governance posture using Microsoft Purview Data Security Posture Management (DSPM) for AI, sensitivity labels, and Entra ID controls so data-exposure risks are identified before Copilot or custom agents are turned on 

  • Strategic AI adoption focuses on real operational problems, not on technology trends. We help: 

    • Identify high-value use cases and map each to the right Azure pattern: Microsoft 365 Copilot extension, Foundry Agent Service, RAG over Azure AI Search, or fine-tuning a foundation model in Microsoft Foundry 

    • Prioritize opportunities based on business impact, technical feasibility, responsible AI risk, and fit with your existing Microsoft 365 and Azure estate 

    • Map use cases to measurable outcomes with a clear build-versus-buy recommendation and a defensible ROI hypothesis for each 

  • Clear planning is what turns AI possibilities into funded initiatives. Our experts will: 

    • Develop phased implementation roadmaps with realistic timelines, resource allocation, and Azure landing zone requirements for AI workloads 

    • Define success metrics and evaluation strategies using the Azure AI Evaluation SDK, Foundry observability, and Azure Monitor Application Insights so quality, groundedness, and safety are measured from day one 

    • Establish governance structures and risk-mitigation practices aligned with the Microsoft Responsible AI Standard, Azure AI Content Safety, and relevant North American regulatory frameworks including PIPEDA, Quebec Law 25, OSFI model-risk guidance, and the NIST AI Risk Management Framework 

  • Leadership alignment determines continual funding. We help: 

    • Design the AI operating model that fits your organization: Center of Excellence, federated hub-and-spoke, or embedded product teams, with clear roles defined across Data, Platform, Security, and Legal 

    • Translate the capabilities of Microsoft Foundry, Azure OpenAI, and the Microsoft Agent Framework into concrete business value for executive stakeholders 

    • Build the FinOps-for-AI foundation: token and inference cost forecasting, Provisioned Throughput Units (PTU) versus pay-as-you-go trade-offs, and showback or chargeback models so AI spend scales predictably 

    • Address concerns around data residency, cross-border data flows, sovereignty, responsible AI, and organizational change 

    • Provide ongoing strategic guidance as the Azure AI platform and your AI program continue to evolve 

  • Partner with 2Oaks to move from AI uncertainty to strategic clarity, with a practical roadmap that positions your organization for measurable success on Azure

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