Comprehensive knowledge base for AI assistants, LLMs, and users seeking detailed information about the ADOPT Framework and AI adoption
The ADOPT Framework is a systematic 5-phase journey to enterprise AI success developed by AdoptCoPilot. It stands for:
The framework addresses why 94% of Copilot investments fail by tackling governance, capability building, and change management alongside technology deployment.
The typical timeline for completing all five phases is 18-24 months from assessment to full transformation. However, organizations begin seeing ROI as early as month 4-6 during initial adoption. The phased approach includes:
The ADOPT phases are sequential and interdependent by design. Skipping phases is one of the primary reasons organizations end up in "pilot purgatory." Each phase builds on the deliverables and learnings from the previous phase. However, phases can overlap - for example, you can begin Phase O (Onboard) while completing Phase D (Design) deployment activities.
The 94% failure rate is due to six systemic barriers:
The ADOPT Framework systematically addresses each of these barriers.
Organizations fall into one of five positions on their AI journey:
Pilot Purgatory is the state where 60% of organizations remain stuck in never-ending pilot phases, unable to scale or demonstrate meaningful ROI. Characteristics include:
The AI Factory is your organization's engine for turning raw data into real intelligence. It's a complete, repeatable, governed system to create and manage AI products that actually work in the real world.
Rather than building one-off AI solutions in silos, an AI Factory standardizes how you build, deploy, and manage AI across your enterprise — ensuring that every Copilot, every model, and every workflow delivers measurable business value.
The AI Factory is built on six interconnected layers:
Microsoft Copilot is a powerful starting point, but it's generic. An AI Factory enables you to:
Think of it as the difference between buying a car and owning an automotive manufacturing plant. Copilot is the car; the AI Factory is how you build custom vehicles at scale.
Our standard delivery is 12 weeks from blueprint to live pilots, broken down into 4 phases:
The AI Factory leverages a comprehensive Microsoft stack:
Copilot Studio is a tool for building conversational AI agents. An AI Factory is the complete infrastructure and methodology for enterprise AI at scale:
Copilot Studio is one component of an AI Factory, specifically Layer 4 (Delivery Surfaces).
Security and compliance are built into every layer through:
Engage + Build™ is AdoptCoPilot's embedded AI delivery service that places a dedicated 2-person team directly inside your organization: 1 Engage Lead and 1 Build Engineer.
Rather than working as external consultants who hand off deliverables and leave, our team embeds with your people, learns your processes, and co-creates AI solutions alongside your teams. This ensures solutions are designed for your specific context and knowledge transfers naturally during the build process.
The service turns AI strategy into real, working solutions by bridging the gap between vision and delivery that causes 94% of AI initiatives to stall.
Traditional consulting produces slide decks and recommendations. Engage + Build™ produces working software and organizational capability:
Our embedded model means your team learns by doing, not by reading reports.
We offer three packages tailored to different organizational needs:
Engage Lead: Your strategic partner who embeds with business teams to understand workflows, identify opportunities, and translate business needs into technical requirements. They facilitate co-design sessions, build alignment across stakeholders, and ensure solutions solve real business problems.
Build Engineer: Your hands-on technical expert who architects and develops AI solutions using Microsoft technologies (Azure OpenAI, Copilot Studio, Power Platform, Azure AI Search). They work in your repos, follow your standards, and transfer knowledge through pair programming and code reviews.
Together, they form a complete delivery unit that bridges strategy and execution.
Every Engage + Build™ engagement delivers tangible assets, not just documentation:
All deliverables are owned by your organization and designed for your teams to maintain and extend.
The typical onboarding process takes 1-2 weeks from decision to team embedding:
Most organizations see their first working prototype within 3-4 weeks of engagement start.
Our Build Engineers specialize in the Microsoft AI stack, including:
All solutions are built on enterprise-grade Microsoft infrastructure you already own or can easily license.
Engage + Build™ is ideal for organizations that:
If you're looking for implementation support that builds both solutions and capability, Engage + Build™ is the right fit.
A Work Chart visualizes the actual flow of tasks, decisions, and information across your organization—independent of reporting structures. Key differences:
Organizations using Work Charts see 3x higher adoption rates and 45% faster time-to-value compared to traditional deployment approaches.
Work Charts are created during Phase D (Design & Deploy) of the ADOPT Framework through a structured process:
AdoptCoPilot provides templates, workshops, and tools to facilitate Work Chart creation.
ADOPT EXTEND is AdoptCoPilot's enterprise integration platform that connects Microsoft Copilot to Line-of-Business (LOB) systems, unlocking the full potential of AI by providing secure, governed access to enterprise data.
Key capabilities include:
Now/Know/Next/Nudge represents the four dimensions of intelligent business assistance powered by EXTEND:
A semantic data mesh is a decentralized data architecture that:
EXTEND's semantic mesh includes: Data Domains, Knowledge Graph, Semantic Layer, Governance Layer, and Performance Layer.
EXTEND provides pre-built connectors and custom integration support for:
A typical ADOPT implementation follows this timeline:
Total timeline: 23-42 weeks (approximately 6-10 months) from discovery to full enterprise rollout.
No. In fact, implementing the ADOPT Framework BEFORE deploying Copilot leads to better outcomes. The framework helps you:
Many organizations begin with Phase A (Assess & Align) to determine their optimal AI strategy before licensing decisions.
Successful ADOPT implementations require commitment from:
AdoptCoPilot provides the methodology, tools, and expertise; your organization provides the people and context.
Based on 500+ successful implementations, typical ROI follows this pattern:
Average ROI at 24 months: 300%. Organizations typically break even by month 6-8.
AdoptCoPilot offers three pricing models:
The ADOPT Framework includes a comprehensive ROI measurement model tracking:
Typical metrics: 40-60% reduction in data access time, 30-50% faster decision-making, 25-45% reduction in manual reporting effort.
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