An embedded AI audit team for mid-market companies that deployed fast and are now over budget
A short-engagement service where a small team spends two to four weeks inside a company's AI operations, maps where money is going, identifies the highest-cost failure points (response refinement is the documented culprit eating 60 percent of agentic AI costs), and produces a prioritized fix list with cost targets.
- Why now
- The MIT adoption data and the over-budget agentic AI story are both pulling high attention this week. Companies that rushed deployment in 2024 and 2025 are now hitting the wall, and there is no established service category to help them. The demand for this is real and the problem is documented.
- Who
- Boutique AI consultancies, big-four advisory practices with a technology arm, or former AI engineering leads who have seen this problem from the inside.
- First move
- Write a one-page diagnostic framework that maps the five most common agentic AI cost overrun patterns. Post it this week to LinkedIn and put a contact form at the bottom. Use the response to qualify the first paying client.
Signal ai integration