95% of enterprise AI pilots fail to deliver measurable ROI within six months.
That’s the key takeaway from MIT’s State of AI in Business 2025 report, which found that while most organizations are experimenting with generative AI, almost none are transforming because of it.
The reasons are clear:
- Tools don’t learn or integrate.
- Data is fragmented across systems.
- Workflows stay manual and disconnected.
At Transformation Insights, we’ve seen this pattern firsthand. And we’ve built something to change it.
The Real Problem Isn’t AI - It’s Process:
MIT researchers call it the GenAI Divide: adoption is high; transformation is low. Eight out of ten organizations have launched pilots, but only 5% have reached production or shown real financial impact.
Why? Because AI tools live in isolation from the business processes, they’re meant to improve. They can generate insights, but they can’t act on them. They lack context, structure, and memory, the very things that drive measurable change.
KTA (the Kinetic Transformation Accelerator) was designed to close that gap.
Turning Static AI into Learning Systems
Instead of adding another disconnected tool, KTA connects to your existing systems, such as ERP, CRM, HR, Finance, and more, through the Kinetic Data Hub.
From there, it transforms scattered data into structured, contextual intelligence that teams can use across workflows.
How it works:
- Connect anything in: Bring data from any system or file source.
- Give it purpose: Organize around goals such as M&A, workforce planning, cost optimization, or any other needs your organization has.
- Make it usable: Power guided workflows, measure results, and feed insights back to your tools.
Improve AI by establishing a process that ensures everyone uses it consistently, learning compounds over time. This isn’t just data integration; it’s orchestration.
KTA creates a consistent way for people, data, and AI to work together, ensuring that insights turn into measurable outcomes.
Case in Point: KTA → 4 Financial Services
A global PE-backed insurance company used KTA → 4 Financial Services to integrate 6 acquisitions across 4 countries, with 1 internal lead and no external consultants.
Within weeks, finance, HR, and compliance data were unified under a digital Integration Management Office (IMO).
The results:
- 60% faster time-to-BAU
- 50% lower cost than traditional consulting
- Full data control with institutional knowledge captured in-platform
This is what happens when transformation capability becomes part of the organization, not something outsourced or rebuilt every time.
Every organization has its own DNA, its own culture, structure, and approach to people. KTA → 4HR is built to respect that individuality.
Rather than enforcing rigid templates, it adapts to your policies, governance, and pace of transformation.
Why It Matters
MIT’s research shows that organizations crossing the GenAI Divide focus on learning-capable systems, tools that remember, adapt, and integrate into real workflows.
That’s exactly what KTA delivers: a continuous learning ecosystem where knowledge compounds, and AI’s value becomes measurable.
Instead of experimenting endlessly, organizations can finally:
- Standardize the use of AI across teams.
- Measure what’s working through connected data and process analytics.
- Reduce reliance on consultants while scaling expertise internally.
Because success with AI isn’t about the model, it’s about the system around it.
The Takeaway
AI adoption isn’t slowing down, but transformation still lags behind. To move from pilots to production, enterprises need more than smarter models; they need smarter coordination.
KTA helps organizations cross that divide by embedding AI into structured, measurable workflows that actually move the business forward.
Do Less. Get More. Be the Best.