Optimisation

What the organisation is actually doing with the AI it pays for, read across every seat and every vendor that reports. Findings are things you could act on this week; the tables underneath are the evidence for them, and the bottom of the page names what we still cannot see.

Seats reporting
2
of 2 registered
Tokens / 7d
9.7M
across the estate
Tool runs
65
9 distinct tools
True cost / 7d
$0.0000
$12.22 at list price, not billed

What we found

  • Watch

    73% of activity comes from one seat

    nicole@theecommerceaccelerator.com accounts for 73% of tokens across the estate. Either the rest of the team has not adopted it yet, or this person is doing work the others could be.

  • Watch

    1 tool is used by more than one person

    Bash (5 runs across 2 seats). Repeated practice across people is where a shared skill or template pays for itself.

Model by seat

SeatModelCallsTokensShare
tyler@theecommerceaccelerator.comclaude-sonnet-5282.6M27%
nicole@theecommerceaccelerator.comclaude-sonnet-5847.1M73%
claude-haiku-4-5211.4k0%

Tools across the estate

ToolRunsSeatsAvgRejected
mcp_tool2311.9s
TaskUpdate1418ms
TaskCreate1017ms
Bash523.1s
Grep514.0s
ToolSearch424ms
Read21302ms
Skill1113ms
WebFetch119.3s

Rejected counts the times a person declined an edit the agent proposed. They are not failures – they are the only place a harness tells us a human pushed back, which is the control plane working.

Where a human stood in the way

Decisions
0
a person accepted or refused
Refused
0
nothing to refuse yet
Awaiting approval
0
queued right now

No harness on this estate has reported a human decision yet. That is the honest reading: the gate exists, and nothing has been put through it.

What this cannot see yet

Discovery

Needs a connector into a system of record

Finding AI nobody registered means reading SSO logs, browser telemetry or a SaaS admin API. Telemetry only ever shows what already reports to us, which is the opposite problem.

Entitlements

Needs a scopes read per harness

Whether an agent can reach more than it needs is a comparison between what it was granted and what it has used. We hold the second half; the first has to be pulled from each vendor.

Benefit

Needs telling us what the work was worth

Hours saved and deals closed are not observable from a token counter. The cost side above is measured; the return has to come from you, per use case.