That's billions in shelfware. Understand the crisis before it's too late.
The right approach transforms pilot programs into enterprise-wide successes. Here's proof it works.
Microsoft deployed Copilot to over 300,000 employees internally, reporting $500 million in annual savings across call centers and customer support operations.
Source: Microsoft Customer Zero Deployment
Research shows 80% license utilization when Copilot tools are made universally available, suggesting strong organic adoption without mandates.
Source: GitHub Adoption Research
Targeted change management and training during pilot programs can achieve up to 22% boost in adoption rates among pilot groups with proper support.
Source: Worklytics Case Studies
TAL Insurance measured average savings of 6 hours per employee per week after rolling out Copilot for document preparation and claims processing.
Source: Enterprise Case Study Analysis
These numbers prove that Copilot success isn't about luck—it's about methodology. Organizations with structured approaches see measurable returns, engaged users, and sustained adoption. The question isn't whether Copilot can work; it's whether you'll implement it right.
Where does your organization stand? Understanding your position is the first step to transformation.
Organizations in this position haven't started their AI journey, often due to regulatory concerns, budget constraints, or organizational inertia. The risk? Competitive disadvantage as competitors gain AI capabilities.
Uncontrolled AI tool adoption without governance or security frameworks. Employees use consumer AI tools (ChatGPT, etc.) with no oversight, creating security risks, compliance nightmares, and data leakage.
Heavy reliance on Microsoft's Copilot ecosystem without a strategic AI plan beyond M365. Risk of vendor lock-in and lack of flexibility for future AI innovation or multi-vendor strategies.
Multiple AI tools and vendors with minimal integration, creating silos and redundant capabilities. Results in integration chaos, wasted spend, and operational inefficiency.
The optimal position. Clear AI strategy, governed deployment, hybrid vendor approach, and continuous optimization. Organizations here have strategic control, measurable ROI, and sustainable AI capabilities.
Analysis of the systemic barriers that prevent successful AI adoption
Organizations focus on technology deployment while neglecting change management, capability building, and cultural transformation.
No clear policies, security frameworks, or compliance structures to safely scale AI across the enterprise.
Unable to prove business value or measure impact, making it impossible to justify continued investment or expansion.
Pilots without a clear path to production. No phases, milestones, or systematic approach to scaling success.
Trying to fit AI into existing processes instead of redesigning workflows to leverage AI capabilities effectively.
Insufficient training and capability development. Employees don't know how to use AI effectively for their specific roles.
Every single one of these barriers is addressable. A.D.O.P.T. provides a systematic approach to overcoming each challenge and joining the 6% who succeed.
Discover the SolutionThe right approach transforms pilot programs into enterprise-wide successes. Here's proof it works
Microsoft deployed Copilot to over 300,000 employees internally, reporting $500 million in annual savings across call centers and customer support operations.
Research shows 80% license utilization when Copilot tools are made universally available, suggesting strong organic adoption without mandates.
Targeted change management and training during pilot programs can achieve up to 22% boost in adoption rates among pilot groups with proper support.
TAL Insurance measured average savings of 6 hours per employee per week after rolling out Copilot for document preparation and claims processing.
These numbers prove that Copilot success isn't about luck—it's about methodology. Organizations with structured approaches see measurable returns, engaged users, and sustained adoption. The question isn't whether Copilot can work; it's whether you'll implement it right.
Understanding the problem is the first step. Now let's map your path to the 6% who successfully transform their Copilot investment.