Claritev Adopts CodeTogether’s AITrax to Bring Greater Measurement and Accountability to AI-Assisted Development

Claritev will use CodeTogether’s AITrax to help measure adoption, cost, quality, and value across its enterprise AI-assisted software development initiatives.

Claritev Corporation, a healthcare technology, data, and insights company focused on delivering affordability, transparency, and quality across the healthcare system, announced it will use CodeTogether’s AITrax to gain greater visibility into AI-assisted software development across its engineering organization.

As AI-assisted development becomes a larger part of enterprise technology strategies, organizations are seeking clearer ways to measure adoption, cost, quality, and value. AITrax, the AI-specific measurement layer of CodeTogether’s engineering intelligence platform, is designed to help technology leaders better understand how AI-assisted and agentic development tools are being used, where they are creating value, and where additional governance, coaching, or process improvements may be needed.

The announcement builds on Claritev’s use of CodeTogether’s engineering intelligence platform, which began in 2022 across more than 1,000 technology associates. Claritev’s deployment of the platform was associated with a 59% increase in issue throughput and a 48% increase in active development time, based on internal measurement of the 2022 deployment. Now the two companies are applying that same discipline of objective, IDE- and agent-level measurement to AI-assisted and agentic development.

As AI-assisted development scales, technology leaders are seeking better visibility into several key areas:

• Cost visibility across AI-assisted development workflows, including token usage and agent sessions
• Quality and review processes as AI-generated code becomes more common
• Adoption patterns across teams, tools, and use cases
• Opportunities to improve training, governance, and workflow design

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“AI is an important part of Claritev’s technology strategy, and our mission requires us to adopt it responsibly and measurably,” said Michael Kim, Executive Vice President and Chief Digital Officer, Claritev. “CodeTogether’s platform gives us greater visibility into how AI-assisted development is being used, where it is creating value, and how we can scale these tools in a disciplined way to support the clients and stakeholders we serve.”

AITrax captures developer- and agent-level AI usage from development environments, including IDEs and command-line workflows, and turns it into executive-ready intelligence. With AITrax, technology leaders can:

• Measure true ROI by work model: comparing the value-per-dollar of agentic, AI-assisted, and traditional development.
• Forecast and control AI spend: with visibility into token consumption, wasted and abandoned agent sessions, and the real cost behind each pull request.
• Coach, not just report: surfacing AI-readiness gaps and prioritized recommendations, then tracking whether they’re acted on.

Unlike survey-based or self-reported approaches, AITrax provides continuous, objective telemetry to help organizations assess how AI-assisted development is being used and where it may be creating value. It provides objective, third-party measurement that helps answer the question every board is asking its technology leaders: is AI actually working for us?

“Enterprises are investing heavily in AI-assisted development with no reliable way to know whether it’s working,” said Tim Webb, Co-CEO, CodeTogether. “AITrax closes that gap, not as a passive dashboard but as an accountability and coaching layer for cost, risk, and real return. We’re proud to continue supporting Claritev in this next chapter.”