Here is the number, the mechanism, and the one pipeline that keeps it true. TrustEvals is the specialist AI builder for AI Strategy, AI Transformation, and AI Fluency, with Governance, Audit, and Evals built into every build.
Strategy, Transformation, and Fluency land as one operating system, with Evals, Governance, and Audit evidence built into every build.
Policy violation: agent attempted an unauthorized tool path after passing staging. Owner notified, trace preserved, baseline exception opened.
Who is using AI? Is it working? What is running that we do not know about?
Seat analytics count logins. TrustEvals measures output quality, internal agents, embedded AI, and regulator-acceptable evidence.
That is the deepest technical path: SDK traces, production evals, baselines, drift, release gates, and continuous evidence.
Bring your Big-4, boutique, or in-house partner. TrustEvals makes the recommendation measurable and keeps the operating read current.
Define systems, teams, workflows, vendors, and boundaries.
Collect stack, spend, usage, policy, and interview evidence.
Separate value, manageable exposure, and urgent exceptions.
Write the read in board-ready language.
Fund, pause, govern, train, or instrument the right work.
Which AI work changes revenue, margin, cycle time, or capacity.
Which tools, agents, and embedded features need evidence before scale.
Who signs off, who reviews, and who funds or contains the next move.
The board-ready record tying source facts to the operating decision.
From sanctioned platforms to browser agents, internal tools, and embedded SaaS AI.
Convert usage, spend, workflows, and output quality into a repeatable operating read.
Benchmark reliability, review discipline, policy boundaries, and source traceability.
Create decision packs, exception lists, and board updates backed by traceable evidence.
Each proof artifact now shows what changed, what TrustEvals installed, what evidence was captured, and where the reader can inspect the case.
~60% FP&A accuracy and repeated double-checking before release.
95% stated accuracy, about 90% measured, with 144% NRR provenance kept beside the claim.
From uncertain FP&A accuracy to a deploy gate our customers could review.
CTO, AI-native finance SaaSStart with Strategy, Transformation, or Fluency; use Quick Audit when the first need is an independent read on what is already running.