How is this different from the adoption analytics tools we've already looked at?

Adoption analytics tools count logins inside vendor tools you bought. They don't cover the agents your team built, they don't evaluate whether the AI is producing value, and they don't produce evidence a regulator or auditor will accept. TrustEvals does all three on the same trace pipeline.

What does my CEO view look like in 30 days?

One maturity score on the 6-stage adoption curve. One sourced ROI view tied to business outcomes. One shadow-AI count with risk ranking. One framework-readiness readout (NIST AI RMF, ISO 42001, EU AI Act). All four pulled from the same trace pipeline, refreshable the morning of the board meeting.

Do we need to commit to a platform contract before the discovery call?

No. CEO-initiated engagements start with the AI Audit (two weeks). A fixed-scope first read run by a practitioner team. The platform conversation comes after the picture is in front of you, not before.

AI value capture, ready for the board.

For finance CEOs and boards, the operating view turns AI spend into a captured number, anchored on the AI Audit and refreshed the morning of the board meeting.

CEO board viewrefreshed this morning

Adoption depth

62%

priority roles active

Risk exposure

unapproved AI tools

Captured ROI

3.2x

portfolio net

Frameworks

3/4

ready for evidence export

AdoptionTeams using AI in real workflows, not just holding licenses.

RiskAI tools and agents ranked by exposure, owner, and readiness gap.

What you walk in asking.

Three questions every CEO and board chair is asking right now. We answer each on one slide, sourced.

Are we capturing AI value?

Spend against measurable business outcomes, not pilot counts. A sourced ROI view a CFO will sign off on.

Where do we sit on the curve?

One maturity score on a 6-stage adoption curve. Drill-down on every stage, every function.

What is running that I don’t know about?

45% of AI adoption happens outside IT’s view. Shadow AI surfaced endpoint-by-endpoint, risk-ranked.

What we do for the CEO.

Four anchors. The CEO leads with capture. The other three follow on the same trace pipeline.

AI Audit

Two-week deliverable. The board-ready first read of AI activity across the enterprise, with one consolidation recommendation.

AI Transformation

Capture-side workstream. Twelve levers for turning AI into measurable workflow and financial outcomes.

AI Governance

Risk-side workstream. Continuous evidence on the same pipeline. Turn it on when the regulator asks.

AI Fluency

Workforce-side workstream. The operator skill stack that compounds inside the work, not another LMS.

The board view, on one slide.

Maturity, ROI, shadow, framework readiness. Four numbers. Sourced. The The CEO view lives on top of the AI Audit operating read.

CEO view · Q4refreshed 4h ago

Maturity

3/6

+1 vs. Q3

Captured ROI

3.2x

portfolio net

Shadow AI

unapproved

Frameworks

3/4

attested

One picture. Defensible. Quarterly.

From three answers to one picture.

The board update was a list of subscriptions and pilot counts. The next one carries a sourced number for value captured, a risk count with owners, and a curve position the board can hold management to.