Entry
·
Month of 60
·
months to exit
August 2026
Closing two capability levels creates $501.6M net EV (+4.6%); Product is the highest-value initiative, while Sales effectiveness has the widest gap among the three initiatives shown.
Forecast: 84.3% of run-rate
EBITDA realized by month 36
Run-rate EBITDA added AI-To-EV Method
Annual, after feasibility + timing
Against EBITDA base AI-To-EV Method
$630M
42% × $1.5B total revenue
Uplift on base Est.
Enterprise value added, net AI-To-EV Method
$501.6M
After $16.3M program cost NPV
One-time build cost AI-To-EV Method
$7.5M
Excludes $2.5M/yr run cost
Simple payback Est.
Build cost ÷ annual EBITDA added

Returns impact pending debt schedule and baseline growth case.

Initiative pipeline

Run-rate EBITDA opportunity by stage
User-supplied
Identified
$45M
8 initiatives
Validated
$32M
5 initiatives
In-flight
$20M
3 initiatives
Realized
$8M
2 initiatives
Run-rate
$4M
1 initiative

Value realization trajectory

Benchmarked
Month 1212.9%
Month 36 plan84.3%
Exit (month 60)~100%
100% 75% 50% 25% 0% Now / M12 Exit 0 12 24 36 60 months
Plan
Benchmark
Run-rate EBITDA at exit — Plan:  ·  Benchmark: Reference case
R
Product gap
CPO · evidence API-tier adoption · 30 Sep
$165.6M
A
Pricing capture
CFO · validate AI premium realization · 15 Oct
$94.2M
A
Sales effectiveness
CRO · launch field expansion plays · 21 Oct
$37.5M
Initiative Owner Next action Due Run-rate EBITDA opportunity
API-first action layer CPO Prove production adoption and tier penetration 30 Sep $165.6M
Outcome-priced agent SKU CFO Reconcile realized price uplift to billing 15 Oct $94.2M
Agent Expansion Plays Executed CRO Deploy playbook across priority accounts 21 Oct $37.5M
Appendix — Capability scores (diagnostic; not management targets)

AI capability maturity scores from the AI-To-EV Method, showing distance to frontier. These are diagnostic inputs — they explain the source of the value opportunity. The initiative pipeline above is the operating view.

InitiativeCurrentFrontierProgressAt stake
Product5.999.50
$165.6M
Pricing5.709.45
$94.2M
Sales effectiveness5.569.53
$37.5M
Source: AI-To-EV Method — value bridge, implementation cost, and value timing Entry date, stage allocation, benchmark values, and roadmap timing
The AI program creates $517.9M gross EV; after $16.3M cost, $501.6M reaches enterprise value — moving the mark from $11.0B to $11.50B.
All values from the
AI-To-EV Method
Net EV created
$501.6M
After program-cost NPV
New enterprise value
$11.50B
From $11.00B today
EV uplift
+4.6%
Two capability levels
Simple payback
Build cost ÷ annual EBITDA added

AI-to-EV bridge

Enterprise value
$ billions
$11.00B
EV today
ARR $1.20B
at 9.17x
+$221.3M
ARR
ARR uplift
capitalized
+$296.6M
Multiple
9.17x → 9.41x
on new ARR
−$16.3M
Cost
NPV of build
and run cost
$11.50B
New EV
Net uplift
$501.6M

Capability scenarios

Net of
program cost
PositionEVNet ΔEV
Stay where you are$11.00B−$16.3M
Move one level$11.25B+$238.4M
Move two levels$11.52B+$501.6M
Close gap entirely$11.56B+$541.0M

The two-level case is the sponsor-underwritable operating plan used throughout the value creation plan.

Underwritable P&L effect

EffectAnnualShare
Revenue$25.96M59.7%
Cash EBITDA$17.49M40.3%
Combined$43.45M100%

Revenue adds to ARR; cash EBITDA captures the cost-side effect. The pool is not capitalized twice.

Spend-to-value

One-time build
$7.5M
Annual run cost
$2.5M
Cost NPV
$16.3M
Simple payback

Five-year NPV at the AI-To-EV Method's 10% WACC. Undiscounted hold-period cost: $20.0M.