JATJay Templeton Consulting
← Where AI Pays
professional-services · Executive · AugmentBuild it

AI leadership briefing copilot

01 — The scenario

A professional-services business where this lands in Leadership.

02 — The problem, in money

$29,250$5,270,850/ yr at stake
Modeled
  • Leaders5 people51 peoplePlaceholder — not a validated benchmarkStarting point
  • Research hours per leader per week4 hours20 hoursPlaceholder — not a validated benchmarkStarting point
  • Share automated0.5 ratio0.5 ratioPlaceholder — not a validated benchmarkStarting point
  • Leader leader_hourly_value value150 USD530 USDPlaceholder — not a validated benchmarkStarting point
  • Share of freed time redeployed0.5 ratio0.5 ratioPlaceholder — not a validated benchmarkStarting point

03 — The options

Build$15K–$35KA custom system, owned outright.
Bin$0Do nothing — and accept the leak.

04 — The call

Build it

Build it. A custom system is the right move here — the payback justifies owning it rather than renting a compromise.

05 — Run it on your numbers

Start from industry averages, then drag the inputs to match your business. The number moves live.Drag each input to your number — the starting points are neutral midpoints, not industry data. The number moves live.

Worth to your business
$29,250per year
Modeled — industry averages
Revenue$0Modeled
Cost savings$0Modeled
Hours / week10Modeled
Industry averages
5 people
Industry avg: 5 peoplePlaceholder — not a validated benchmark
4 hours
Industry avg: 4 hoursPlaceholder — not a validated benchmark
0.5 ratio
Industry avg: 0.5 ratioPlaceholder — not a validated benchmark
150 USD
Industry avg: 150 USDPlaceholder — not a validated benchmark
0.5 ratio
Industry avg: 0.5 ratioPlaceholder — not a validated benchmark

06 — The evidence · what others report

No hard numbers reported.

Reported numbers are third-party claims, source-attributed — not verified by me, and never blended into the model above.

07 — Questions owners ask

Every figure is Modeled — computed from industry-average benchmarks against the scenario’s formula. Move the sliders to your own inputs and the numbers recalculate live. Nothing here is a promise; it is a starting estimate you can pressure-test.
The library is organized by department, outcome, effort and readiness so you can find what fits. Add scenarios to your plan, tune the inputs, and see the combined picture on your plan dashboard.
Want this to be a Projected number? That's what the Audit produces — my forecast on your real data, with my name on it.
Build means a custom system is the right move; Buy means an off-the-shelf tool wins; Bin means the math does not justify doing it at all. Binned scenarios can be favorited for reference but never enter a plan.

Is this your business?

Get your free AI Opportunity Score — the same first pass I run at the start of every Audit.

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