Deep dive · Executive Dashboard
Fund, expand or stop AI initiatives on evidence.
Every AI initiative finally has numbers attached to it. When the board asks why you keep paying, the answer is evidence instead of faith.
In short
The Executive Dashboard is built from the same observation that powers coaching, aggregated and shown only for teams large enough that no one can be singled out. It shows value created on named workflows, capability trends, approved-tool adoption, unmet tool demand and where spend can be reallocated.
One dashboard, rising altitude
It grows with the rollout.
- Show value
The first hours back on named workflows.
- Adoption
Approved-tool adoption, unmet tool demand, shadow-AI patterns.
- Scale
Cross-team patterns and pilot-to-production conversion.
Tool Gap Intelligence
Unmet needs become decisions.
- Lucy or a user spots a missing tool
- Requests are pooled across the organization
- A threshold triggers a business case
- Leaders decide on evidence
- Lucy coaches the change
Illustrative example For example: 16 people asked this week for an AI tool to build slides. Leaders see the options their policy allows and decide. We don’t sell tools or tell you which one to buy.
The governance floor
Built for decisions, never for tracking activity.
Questions
Questions about what leaders see
What can leaders see in the Executive Dashboard, and what can’t they?
Leaders see value created on named workflows by team, capability trends across teams, approved-tool adoption with shadow AI falling, unmet tool demand and where spend can be reallocated. They don’t see individual rankings, anyone’s private prompts, or totals for teams too small to protect individuals, and no admin can switch those limits off.
Is the Executive Dashboard available today?
Yes. The Executive Dashboard is here today, with more added all the time. What it shows deepens as your rollout moves through the stages: hours back on named workflows first, then approved-tool adoption and unmet tool demand, then cross-team patterns and how pilots convert to production.
How can Tool Gap Intelligence lower software spend?
By turning scattered tool requests into decisions. When Lucy or a user spots a missing tool, the request is pooled with similar ones across the organization. When demand crosses a threshold, it triggers a business case, and leaders decide on evidence. Approved-tool adoption shows which licenses go unused, so software can be retired on evidence too, and shadow AI shrinks because real needs get a real answer.
Keep exploring
More deep dives
What’s here today vs. what’s coming
Some features described on this site, like proactive coaching, are still being built.
