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Get more productive use from the AI you already own.
DENVER, CO, UNITED STATES, September 10, 2026 /EINPresswire.com/ — Tracepipe, a browser-native skill layer for enterprise AI, launched today. It captures how employees complete work in the browser and compiles each workflow into a skill the organization can run and audit, with expected token cost reported before the skill goes live.
The problem Tracepipe targets is well documented. MIT’s Project NANDA found that 5% of enterprise AI pilots reach measurable P&L impact, against an estimated $30–40 billion in enterprise spend. BCG puts the share of companies seeing no material value from AI investment at 60%. Microsoft’s FY26 Q2 earnings show 15 million paid Copilot seats against more than 450 million commercial M365 seats, or 3.3% penetration. Gartner reports that 20–30% of purchased seats get used weekly.
The same shape holds across every vertical Tracepipe serves:
Banking and credit unions: 59% of credit unions and 49% of banks have deployed generative AI. Five percent have a scaled, governed program running (Cornerstone Advisors, *What’s Going On in Banking 2026*). Among community banks, 70% have adoption underway and 25% have moved past proof-of-concept (Wolf & Company, 2026).
Insurance: 82% of insurers call AI a top strategic imperative. Seven percent have scaled beyond pilots (BCG, September 2025). NAIC’s 2025 surveys put current or planned AI use at 92% of health insurers, 88% of auto insurers, and 70% of home insurers.
BPO and contact centers: 56% of contact centers are not seeing ROI on their AI investment. 48% name workflow integration as the primary failure point (COPC Inc., March 2026).
Healthcare revenue cycle: 80% of health systems are exploring, piloting, or implementing generative AI for revenue cycle management. 12% report a fully mature program (HFMA, 2025).
One thing is missing in every case: a record of how employees actually move through their work. Without it, no AI can replicate a workflow reliably, and no compliance team can verify what it did.
Tracepipe builds that record. An employee runs a workflow once in the browser — pulling a loan file, adjudicating a claim, working a denial — and Tracepipe captures the steps, the systems touched, and the points where a person makes a judgment call. It compiles that into a skill that runs against the AI the company already pays for. Every run is logged against the workflow it came from, so output can be checked rather than trusted.
Working in the browser matters in these industries. The work lives across core systems, claims platforms, portals, and legacy screens that were never built to talk to each other, and most of them have no API worth integrating against. Tracepipe captures the workflow at the layer where employees already do it. The resulting skill belongs to the customer: it can be edited, retired, or handed to a different model without rebuilding it from scratch.
“You’ve bought the AI. Your employees are still doing the same work they did before,” said Tim Mills, CEO of Tracepipe. “We built this for the gap in between — for organizations that made the investment but can’t get their teams actually using it. Show Tracepipe how the work gets done, and it turns that into a skill the AI can run. What you paid for starts paying back.”
Cost is visible on both sides of the build. Tracepipe reports expected token use before a skill is created and cost per run after it ships. ROI stops being a promise buried inside a broad AI subscription and becomes a number IT can budget against, workflow by workflow.
Tracepipe is live with a limited free tier offering, $25 a month per seat with full functionality as well as Enterprise plans. Organizations can trace their first workflow at tracepipe.ai.
Maxwell Mills, VP of Product Development
Tracepipe
+1 303-720-5257
Max@tracepipe.ai
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