Take Interest · Readiness review

The value, modeled on your inputs

Set the numbers for your own readiness review and read what the layer gives back. No claimed savings. These are illustrative defaults, and you replace them with yours at go-live. Change a number and the total moves with it.

RULE-BASED MATH YOUR INPUTS

What it gives back

Time reclaimed

Sample only

Reviewers stop hand-assembling the read across change records, access logs, and gate sign-offs. The hours go back to the work that needs their judgment.

Reviewers 6 ASSUMPTION · set the reviewers in this group Hrs/wk reading across 6 ASSUMPTION · hours a reviewer spends assembling the read by hand Reclaimed by the layer 40% ASSUMPTION · keep this conservative and measure it in a pilot Loaded rate $/hr $145 ASSUMPTION · public role band · salary plus benefits and overhead

Reclaimed a year $0 reviewers times hrs/wk times reclaim share times rate times 52 weeks

What it gives back

Holds caught earlier

Sample only

A missing-evidence flag raised before a gate review stalls, so the rework a late hold carries is avoided. A named reviewer still owns the call on every flag.

Late holds a year today 8 ASSUMPTION · late holds in a year today Caught earlier 35% ASSUMPTION · keep this conservative and measure it in a pilot Avg cost avoided each $18,000 ASSUMPTION · the rework a late hold carries on average

Avoided a year $0 late holds times caught-earlier share times avg cost avoided

Illustrative annual value

Time reclaimed plus holds caught earlier. Illustrative, on your inputs, a model you can open and check. The layer earns its place when these numbers are yours and the math still holds.

Time reclaimed $0

Holds caught earlier $0

simulated projection

VP decision ripple simulator

Pick a decision and move the sample inputs. The projection updates cost, sentiment, outcome, and downside with fixed math.

Scenario

Projected result

Hire role

Mock data only

Team morale / stakeholder confidence 0% mixed

Outcome estimate 0 schedule-risk band

DOWNSIDE

Slow ramp tax

The downside card stays visible for every scenario.

AI can model the numbers. The call is yours.

Payback check

Value back against what you pay

Set your own pilot price and read the value-back ratio for year one. At $0 the ratio waits, so no made-up price ever reads as real.

Pilot cost for year one Not set

Drag to your own pilot price to read the value-back ratio. At $0 the ratio is not shown yet.

ASSUMPTION · your own pilot price · target 5 to 1 or better

Value back for every dollar paid

Set a pilot cost

For every dollar on the pilot, this reads the value back in year one. 5 to 1 or better is the usual mark to go ahead.

What this model claims, and what it does not

What a pilot proves

Hours reclaimed per reviewer per week, measured.
Late holds caught earlier, counted against the year before.
The layer reads coordination metadata and stays beside your systems.

What it does not

No real readiness figure is implied by these sample numbers.
No claim that controlled-data readiness has been assessed.
No claim the layer closes, approves, or prevents anything on its own.
No replacement for any source system.

What to measure next

Hours back across more reviewer roles.
Time to assemble the read per review.
Stop metric: if hours back stays flat, stop before annual pricing.

Where this lands

The model frames the pilot. The packet is the deliverable.

This page only sizes the value of a pilot. The thing a person reads and closes stays the reviewed proof packet: the evidence by identifier, the gate outcome, and the named role that owns the close.

Open the proof packet See the overview deck