STERLING, Va., April 2, 2026 (GLOBE NEWSWIRE) — TechWish, a global technology solutions company specializing in AI, cloud and analytics, today announced the availability of its AI adoption analytics platforma purpose-built solution that helps large enterprises measure, prove and optimize the ROI of their AI investments.
Six months after deploying Microsoft Copilot to thousands of employees, a The Fortune 500 energy company faced a question: what measurable value did the organization realize from its AI investment? The licenses were active. Adoption rollout programs have been completed. But when the CFO raised the issue of demonstrable ROI, the organization lacked the analytical layer to respond accurately. This gap between AI deployment and measurable business value is the challenge TechWish is addressing with its new platform: It enables CFOs and operations leaders to develop and analyze hard data on how AI does or does not impact the bottom line.
Working with an MBB management consultancy, TechWish deployed its platform to the energy company, where it provided the necessary measurable insights into AI adoption and productivity outcomes.
Into the visibility gap Enterprise AI
Investment in AI in enterprises has increased significantly over the past two years, but the gap between implementation activity and documented business value remains a persistent and largely unresolved problem. According to McKinsey’s Global AI Survey 2025, only 39% of organizations report measurable business impact from generative AI, with two-thirds still characterizing their implementations as experimental or in pilot phase.
The real challenge lies in measuring ROI. TechWish’s 2026 AI Governance Benchmark study, corroborated by independent analysis from ModelOp, shows that more than two-thirds of organizations continue to rely on manual or projected ROI tracking, even for AI systems already in production. As enterprise AI portfolios continue to grow, evidence-based ROI reporting will become a board-level necessity, not just a reporting function.
While native reporting dashboards inherent in AI tools can show basic usage activities, there is often a lack of contextual insight needed to answer the questions that matter most to leadership: which roles are actually integrating AI into their workflows, which enablement programs are driving behavior change, and how adoption patterns translate into productivity results.
“The challenge is not in deploying AI tools; organizations have largely addressed that. The more persistent challenge is that once deployed, there is no reliable mechanism to link usage patterns to business outcomes. That is the gap our platform is designed to address.” Vishnu Reddy, CEO of TechWish
How the AI Adoption Analytics platform works
from TechWish AI adoption analytics platform is designed to create a structured measurement layer on top of relevant data from a company’s business systems. It combines the AI tools’ usage signals with organizational context data to create a more comprehensive and actionable picture of AI adoption in enterprises. While the platform has been validated on Microsoft Copilot deployments, the underlying analytical approach is designed to extend seamlessly to other business AI tools as organizations expand their AI adoption. The core capabilities of the platform include:
Role-based adoption visibility: Analyzes AI adoption by role category, helping organizations understand how different job types interact with AI tools in practice.
Cross-platform adoption framework: Supports a unified, board-level view of AI adoption across multiple tools and platforms, with metrics aligned to the respective data signals.
Switch-on measurement: Tracks usage patterns before and after training and other enabling interventions, to help organizations identify what actually drives measurable improvements in adoption and usage.
Productivity and value indicators: Translates adoption patterns into actionable business indicators and metrics such as adoption maturity, estimated workflow integration, expected time savings, and opportunities for targeted intervention.
Governance-oriented design: Designed for regulated environments to ensure that organizational and supporting data is only used in an enterprise-safe manner
Validated on Fortune 500 scale
The platform has been validated through implementation at a Fortune 500 energy company, where TechWish collaborated with an MBB management consultancy for the implementation.
The energy company had invested significantly in Microsoft Copilot licenses and was looking for a more rigorous mechanism to assess adoption success and credibly communicate ROI to management. Key results of the implementation include:
Estimated productivity ROI of 20× within six monthsbased on interaction analysis and role-based productivity modeling.
44% increase in active AI usage within 90 daysachieved through targeted, role-specific initiatives.
Over 50 million interaction events analyzed in the first 30 dayscreating an enterprise-wide vision for Copilot adoption.
Up to 95% reduction in manual reporting effortsthrough automated management dashboards that replace spreadsheet-based tracking.
The engagement also supported a strategic shift in the client’s AI adoption approach, from general usage reporting and broad training programs to targeted interventions based on how employees actually interacted with the AI tools across different role archetypes.
Addressing a market-wide challenge
This launch comes at a time when companies across all industries are facing increasing pressure to justify their AI investments. The convergence of increasing AI spending, rising platform costs, and increasing board-level oversight is creating an urgent need for credible ROI measurement, a need that the market is beginning to recognize at scale.
TechWish positions its AI Adoption Analytics Platform as a solution for both enterprises and the MBB and management consultancies that advise them on the deployment and transformation of AI. By adding a stronger measurement and adoption layer from TechWish, these consultancies can support more informed conversations about evidence-based AI maturity, enablement, and value realization.
“MBB and other management consultancies are making substantial AI recommendations to their clients every day,” Vishnu added. “When these customers ask for a credible, evidence-based account of what their investment has delivered six months after implementation, the companies need a reliable answer. Our platform is built to provide exactly that.”
About TechWish
TechWish is a global technology solutions company that delivers comprehensive digital transformation services focused on AI, cloud, analytics and managed IT services for Fortune 500 companies and the MBB and management consulting firms that serve them. For more than twenty years, TechWish has partnered with industry leaders to solve complex technology challenges through a pragmatic, ROI-focused approach.
To request a demo or a 30-day pilot assessment, please visit:https://www.techwish.com/services/enterprise-ai/ai-adoption-analytics
Media contact:
Heaven Shrestha
Business Development Specialist, TechWish
[email protected],+1 7037194929
techwish.com
