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Financial services firms are expanding production AI across compliance, procurement and process work, but reported deployment remains between 1% and 3%.
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Compliance-monitoring AI is deployed in production at 2% of financial services firms and rising by 6 percentage points per quarter — Early Signal. That velocity matters, but so does the starting point: every measured production use case remains at 3% adoption or below.
The production data shows a broad cluster of workflows advancing at the same reported quarterly rate:
This is production deployment, not software availability or employee experimentation. The uncomfortable reading is that financial services adoption is moving quickly while remaining scarce. A reported quarterly increase of six points is larger than the current installed base for every listed task, so the next measurement will be important. These figures are Early Signal, not a stable long-term adoption curve.
Capability evidence must stay separate from firm-level deployment.
For vendor negotiation, arcships/aimux provides a unified API for accessing 325 AI service providers. GitHub Trending assigns this 50% quality — Plausible, as of 17 August 2026. That indicates relevant infrastructure, but it does not show that the system negotiates successfully, meets financial-services controls or operates inside regulated production environments.
The production evidence is different: vendor-negotiation AI is running at 2% of financial services firms, with growth of 6 points per quarter — Early Signal. One measure concerns system availability; the other concerns organisational use.
A second GitHub Trending project, wanmol/goal-flow, can transpile Dify DSL definitions into runnable Python code for the ethics and code-of-conduct task. Its assessed quality is 50% — Plausible, as of 19 August 2026. No corresponding financial-services production-deployment rate is provided. Treating this as deployed compliance automation would exceed the evidence.
Current exposure sits with people who own the measured workflows:
These figures identify task exposure, not job elimination. The input contains no headcount, redundancy or role-removal data.
The central uncertainty is whether the uniform 6-point quarterly increase persists across eight different workflows. Current bases of 1% to 3% leave little evidence about repeatability, scale or control performance.
Career Runway’s 2026-Q3 scorecard contains 17 published calls, of which 8 have resolved; all 8 called the direction correctly, with an average of 90 days to resolution. The resolved grade mix is A 0% · B 6% · C 94% · D 0%. One resolved call anticipated portfolio property-structure transfers towards Finance Manager because Customer Segmentation & Targeting was the most-exposed core task (record).
What to do differently: track production use by task, not vendor count. If your role owns compliance monitoring, vendor governance, prototyping or process mapping, document where human approval remains mandatory and build evidence of judgement, exception handling and auditability before the next quarterly reading.