AI Technology Background
The AI Diagnostic · Regulated B2B SaaS

Know exactly where AI moves a number —
before you spend a quarter finding out.

2–3
Weeks Timeline
Fixed
Fee Engagement
0–90
Day Roadmap
4
Value Levers

Why a diagnostic first

Most AI spend goes to motion, not outcomes.

Teams pile into pilots, demos, and vendor trials — and a quarter later still can't say which initiative moved revenue, margin, or retention. The Diagnostic exists to kill that uncertainty fast, with a senior operator's judgment instead of a generic framework.

WITHOUT IT

Guessing in public

  • ✗ Pilots that never reach production
  • ✗ Build-vs-buy decisions made on vibes
  • ✗ AI costs rising with no ROI line of sight
  • ✗ Security & compliance treated as an afterthought
  • ✗ No way to defend AI spend at the next diligence
WITH THE DIAGNOSTIC

A defensible plan in weeks

  • /> A ranked shortlist of initiatives tied to a number you care about
  • /> Clear build-vs-buy recommendation for each
  • /> A 0–90 day roadmap your team can execute
  • /> A governance & risk read your board will accept
  • /> A cost model — including token economics — with no surprises

What you get

Six deliverables, mapped to the Four Value Levers.

Everything is referenceable, board-ready, and yours to keep — whether or not you build with us.

01

AI Opportunity Map

Every candidate initiative scored across developer velocity, workflow automation, cost structure, and product intelligence.

02

Build-vs-Buy Calls

For each opportunity: build, buy, or partner — with the reasoning, vendor options, and lock-in risks spelled out.

03

Prioritized 0–90 Day Roadmap

Sequenced quick wins and foundation work, with owners, dependencies, and the metric each move is meant to shift.

04

ROI & Business Case

Expected impact, effort, and payback per initiative — the model you'll use to defend the spend internally and in diligence.

05

Risk & Governance Read

A Human-Controlled AI assessment: where to put humans-in-the-loop, guardrails, validation checkpoints, and escalation paths.

06

Cost & Token Economics

A transparent run-cost model — AI consumption at cost with a per-engineer cap — so there's no surprise AI spend later.

Who it's for

Built for regulated, high-stakes B2B SaaS.

The Diagnostic is designed for leaders who can't afford to "move fast and break things" — where a bad AI decision shows up in a security review, a compliance finding, or a diligence flag.

  • /> CTOs & VPs of Engineering deciding where AI earns its keep
  • /> CEOs & founders of HR tech, benefits, and healthcare SaaS
  • /> PE operating partners driving an AI thesis across a portfolio company
THE FIT TEST

You're a strong fit if…

  • You operate in a HIPAA / SOC2-sensitive environment
  • You have real engineering and real legacy — not a greenfield demo
  • You need a plan you can defend to a board or an acquirer
  • You'd rather have one accountable US partner than a body shop
Background Texture

How it works

Two to three weeks, four steps.

Senior-led throughout. Minimal load on your team — a few working sessions and read access, not a months-long audit.

Day 0 · Kickoff

Align on the numbers that matter

A working session to lock the business goals — revenue, margin, retention, release velocity — the Diagnostic will be measured against.

Days 1–7 · Discovery

Look at the logs, not the slides

We review the codebase, workflows, data, and current AI usage firsthand — operator to operator — to ground every recommendation in reality.

Days 8–14 · Analysis

Score, sequence, and price

We map opportunities to the Four Value Levers, make the build-vs-buy calls, build the ROI and cost models, and assess governance and risk.

Day 14–21 · Readout

A roadmap you can act on Monday

A live executive readout plus the full deliverable pack — opportunity map, roadmap, business case, and governance read — yours to keep.

Pricing

Fixed fee

Scoped to your size and stage, agreed up front. No hourly meters, no scope surprises.

$25k

Zero Obligation

Keep the roadmap, whether you build with us or not.

100% Creditable

If you move forward with a build engagement, the entire Diagnostic fee credits toward it — so the diagnosis effectively costs nothing if we build together.

Get Started

Ready to see
the impact?

If you're satisfied with what you've seen, fill out the form to request your Diagnostic. We'll connect with you to review your environment and schedule the kickoff.

Engineering Team

Please provide a valid company email (Gmail, Outlook, etc. are not accepted)

After submitting this form, one of our representatives will contact you ASAP.

FAQ

You have questions. We have answers.

What exactly do we walk away with?
Six deliverables: an AI opportunity map scored across the Four Value Levers, build-vs-buy recommendations, a prioritized 0–90 day roadmap, an ROI/business case, a risk & governance read, and a cost & token-economics model. Everything is yours to keep, whether or not you build with us.
How long does it take and how much of our team's time?
Two to three weeks end to end. The load on your side is light — a kickoff, a few working sessions, and read access to the relevant code, workflows, and data. It's a senior-led diagnosis, not a months-long audit.
What does "fully creditable" mean?
The fixed Diagnostic fee credits 100% toward your first build engagement with Pepcus. If we go on to build together, the diagnosis effectively costs you nothing. If we don't, you keep a roadmap you can hand to any team.
Will you actually look at our systems, or just interview us?
Both. We review the real codebase, pipelines, data, and current AI usage firsthand — operator to operator. Recommendations are grounded in what's actually there, not in what a questionnaire surfaces.
How do you handle our security and compliance during the engagement?
We work to HIPAA/SOC2-sensitive standards, can run on self-hosted / local LLM infrastructure, and have passed a buy-side M&A security audit. Access is scoped and least-privilege; we sign your MSA/NDA before discovery.
We're a PE firm — can you run this across portfolio companies?
Yes. The Diagnostic works as a repeatable, portfolio-wide AI thesis instrument under a single US MSA, with consistent scoring and roadmaps you can compare across companies.