Services
AI Strategy, Transformation, and Fluency, built with proof from day one.
We set the AI strategy, transform the workflows that move the number, and build workforce fluency around the new operating model. Governance, Audit, and Evals are built into every build, so the work is measurable, defensible, and ready for the board.
Spectrum3
Trust layerbuilt-in
Ownersnamed
Deployed is not the same as working.
Every claim in the read traces back to source evidence, ownership, and the workflow decision it supports.
Valuefund next
Riskcontain now
Fluencytrain where work changed
AI Governance
Evals and Governance harness
How TrustEvals engages
Start with the live AI question, then install proof.
The work should feel like an operating path, not a menu. We identify the consequential AI workflow, install the evidence loop, and leave the team with a system they can keep running.
01AI Audit
Find what is running, who owns it, and where evidence is missing.
02Eval harnessMeasure production behavior against baselines before output becomes record.
03Reviewer loopRoute exceptions, approvals, and owner judgment into the work.
04Deploy gateBlock or release high-stakes AI changes with evidence attached.
05Evidence packTurn traces, baselines, and reviewer decisions into a board-ready record.
How we ship
A named TrustEvals practitioner embeds for the engagement window, hardens the measurement layer, then hands the operating loop to your team. The first read is scoped to the gap, not sold as one bundle.
Cybersecurity / compliance GRC firmPE and portfolio companiesAI-native product teamUS commercial real estate
PE operating partnerStart with a portfolio read.
Value capture, control coverage, and repeatable board evidence across companies.
CIO / CFO / CISOStart with the live executive question.Spend, control, production behavior, or evidence freshness becomes the first measurable workstream.
AI-native product teamStart with release reliability.Baselines, regression suites, reviewer loops, and production traces before customer-visible output ships.
Is the AI Audit a fourth pillar?
No. It is the entry read: the fast independent view of what is running, what is working, what is exposed, and which workstream should start.
Do we run every workstream?
No. Start with one or two. The first read sizes the gap, then the follow-on work is scoped to the operating problem, not sold as one bundle.
How does this work with our Big-4, boutique, or in-house partner?
We complement consulting teams by making AI recommendations measurable: eval pipelines, trace evidence, observability, owner review, and an operating loop your team can keep running.
Do we have to engage services to use the platform?
No. The platform is the product. Services exist when the platform needs to land against a real operating problem, with a named practitioner for the engagement window.
Evidence trail
The number only matters when the work beside it is visible.
Each proof artifact now shows what changed, what TrustEvals installed, what evidence was captured, and where the reader can inspect the case.
Evidence cases
AI-native finance SaaS
A release gate the product team and customers could inspect.
95%stated accuracy after the deploy-gate work
Before
~60% FP&A accuracy and repeated double-checking before release.
01Golden set
02Regression DAG
03Reviewer checks
04Release decision
Result
95% stated accuracy, about 90% measured, with 144% NRR provenance kept beside the claim.
- 90+ scenarios
- deterministic SQL fast paths
- reviewer-agent checks
- claim labels kept explicit
AI-native finance SaaS / FP&A95% stated accuracy, ~90% measured, 144% NRRFinance SaaS false positives20% fewer false positives, rollout to 100+ customersUS commercial real estate$20M modeled 10-yr NOI/NPVTrust harnessnew frameworks map on top, not a re-plumbProof disciplineclaims stay tied to engagement evidence
From uncertain FP&A accuracy to a deploy gate our customers could review.
CTO, AI-native finance SaaSTrustable, reliable AI in production
Start with the AI work that moves the number. Keep the proof built in.
Start with Strategy, Transformation, or Fluency; use Quick Audit when the first need is an independent read on what is already running.