New, with Accorian: a real-time AI governance framework for control drift in enterprise AI.Read the framework
Solution · For the Head of AI
Head of AI / CIO
You own the AI answer the board holds you to: what is deployed, what is working, what is exposed, and what gets funded or contained next. One clear view, not three disconnected tools.
Readone view
Tools150+ found
Ownersnamed
One clear view across value, risk, and fluency.
Every claim in the report traces back to source evidence, ownership, and the workflow decision it supports.
Valuefund next
Riskcontain now
Fluencytrain where work changed
At a glanceThe answer the board holds you toOne view of every AI system you runValue, risk, and fluency on one pipelineWhat is working, not just what is deployedOwners and next workstream named
What a first look surfaces
Most AI is deployed. Little of it is working.
Most AI is deployed; little of it changes a business outcome. Illustrative shape of a first look, not a single customer.
What you walk in asking
Three questions, settled before anyone funds the next workstream.
01
What is deployed, and what is actually working?
We measure behavior in production, not seat counts.
02
Where is AI exposing the balance sheet?
Shadow tools, agent paths, and policy exceptions surface endpoint by endpoint, risk ranked, on the same pipeline that proves value.
03
What gets funded or contained next?
The assessment ends in a decision, not a dashboard. Each finding carries an owner, a recommendation, and the workstream it routes to.
What we do for the Head of AI
A specialist AI builder, across the board.
01
AI Audit
A fast, fixed-scope first look. Every tool, embedded feature, and internal agent mapped to a team, a workflow, and an owner, in one independent view.
02
AI Transformation
Capture side. Use cases sequenced against business outcomes, so value capture has a number the board can hold management to.
03
AI Governance
Risk side. Continuous evaluation, policy as code, and framework mapped evidence on the same data. Turn it on when the regulator asks.
04
AI Fluency
Workforce side. The operator skill stack that compounds on the inventory you just made visible.
One pipeline. Several routes.
One pipeline renders value, risk, and fluency.
Vendor tools, embedded AI, and internal agents flow into one trace pipeline. The same evidence that proves value names the exposure and scores the fluency gap.
Production traces
value signalsdriftpolicy exceptions
One measurement engine
continuous evalowner mappingframework mapping
Capture
fund next
Control
contain now
Fluency
train where work changed
Before the first look. After it.
From a list of tools to a decision.
Without the viewWith one view across your AI
VisibilityA vendor list and seat countsEvery tool, agent, and output on one inventory, with owners
ValuePilot count reported to the boardValue capture and risk control from one trace pipeline
RiskExposure found in a headlineShadow tools and agent paths surfaced, risk ranked
DecisionAnother dashboardAn owner, a recommendation, and the next workstream
Same build. Three frames.
We build it, and we check that it holds.
One view of every AI system you run, rendered into the frame each leader owns. We build governable AI, and we independently check that it holds. The audit runs at arm's length when you need it.
CEO frame
Value capture
Throughput, revenue quality, and strategic leverage, in one result the board can hold management to.
OpenCFO frame
Spend to outcome
Value per use case, unproven AI spend named, attested quarterly.
OpenCISO frame
Evidence and control
Shadow tools, drift, and audit ready evidence on live data.
OpenCommon questions
Direct answers.
No. It is the fast entry point under AI Governance, and it doubles as your first independent view. From there you route into Transformation, Governance, or Fluency.
Specialist AI builder, across the board
One builder, across the board.
We take your AI from strategy to outcome, with governance, audit, and evals built into every build. Start with a discovery call, or a quick audit.