START WITH YOUR QUESTION

Do you need to measure and govern AI value?

If you have to demonstrate results, reduce risk and clarify who owns each decision, you need to measure against a baseline and govern what is already running.

THIS IS PROBABLY HAPPENING TO YOU

Activity is visible. Value is not.

— Activity gets reported — users, pilots, licences — but not results.
— There’s no baseline, so any improvement is arguable.
— Nobody knows who answers for it when a system gets something wrong.
— Leadership needs to decide on investment from evidence, not demos.
— There are no criteria for what gets scaled and what gets stopped.

THE PROBLEM BEHIND THE SYMPTOM

Without a baseline, every result is an interpretation.

Without a baseline there is no improvement to prove, only opinions about a demo. And with no named owners, control becomes a document nobody applies. Measurement and governance aren’t admin work at the end: they’re what separates a capability from an expensive experiment.

HOW BECOME ADDS VALUE

We turn value and control into recurring decisions.

We define what value means in your case, measure the starting point, assign owners and a review cadence, and set the controls — human oversight, traceability, quality and escalation — that make the result hold.

TOOLS

Embed Scorecard™
Scale Readiness Gate™
Inside Readiness Index™

WHAT GETS INSTALLED

Measurement that survives a hard question, and a governance model with names rather than good intentions.

WHICH CAPABILITY COMES IN

Value Baseline, metrics agreed before intervening and an owner per outcome.
Direction What keeps being funded, what stops and what scales, on explicit criteria.
Work Controls and review built into everyday work, not into a separate committee.

RECOMMENDED SERVICE

BECOME DISCOVER™ or BECOME EMBED™

If what’s missing is the criteria, it starts in Discover. If something is already running and what’s missing is measuring and governing it, it belongs inside Embed.

WHAT CHANGES INSIDE

Governance is not a sixth layer. It is how all five answer.

People assigns accountability. Data preserves evidence and traceability. Agents operate within measurable limits. Products owns the outcome it promises, and Operations embeds review, controls and escalation into everyday work. Governance then becomes a decision system—not a document review.

Does this look more like one of these?

Scale AI beyond pilots

Prepare teams to work with AI

Redesign critical workflows

YOUR NEXT OPERATING MODEL STARTS WITH A QUESTION

If it cannot be explained, it cannot be scaled.

Show us which initiatives exist, what gets reported today and which question the steering committee still cannot answer. We will define a baseline, accountable owners and criteria to invest, correct, scale or stop.