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The Flagship · Step 02

The Diagnostic

Short answer

A 7–14 day deep read of your business. We map how work, revenue, and decisions actually move through your operating system, then deliver a scored map of where AI fits — and a roadmap of what to fix first. This is where most engagements start and where most of the value lands.

Who it's for

Founder- and operator-led B2B teams (10–500 people) who can feel the business slowing down but need a clear, scored read of where the friction is — and whether AI is the right answer to it.

Symptoms it solves

  • Stalled AI pilots that demoed well and quietly died
  • Workflows that nobody has ever drawn end-to-end
  • Revenue leaking through follow-up, onboarding, or churn
  • Decisions stuck on two or three people
  • AI initiatives that produced motion but no measurable outcome
  • A growing list of tools no one is sure how to integrate

Deliverables

  • End-to-end operating map (workflows, revenue loops, decisions)
  • Scored AI opportunity backlog — where AI compounds vs. adds sprawl
  • Stalled-pilot post-mortem (when applicable)
  • Prioritized 30/60/90-day roadmap with sequencing and ownership
  • Working document you keep — not a slide deck

Timeline

7–14 days

Engagement

CAD $500–$2,500

Before you book

Check the fit in two minutes

Live scoper · 5 questions · no email

0 / 5

Is a diagnostic the right next step for you?

Five questions from the published Friction Score, one per operating domain. Answers stay in your browser — nothing is stored or sent.

  1. 01 · Workflow & HandoffsWhen work passes between teams — say, from sales to delivery — what usually happens?
  2. 02 · Data & Knowledge FlowWhen you need a number you trust — pipeline value, utilization, churn rate — how long does it take to get it?
  3. 03 · Revenue & PipelineWhat happens to leads and quotes that don't close right away?
  4. 04 · Decisions & VisibilityCan leadership see where work actually stands without asking around?
  5. 05 · AI & ExperimentationIf you've tried AI pilots or tools, what happened?

Answer all five to see a provisional read.

The output

What the finished document looks like

Rather than describe the deliverable, we published one. Composite and anonymized, with the baseline numbers, the findings, the 90-day plan, and the day-90 re-measurement left in.

Composite · Anonymized · excerpt

Handoff rework time
31 hrs / wk → 18 hrs / wk
Days to first value
34 days → 22 days
Opportunities closing with no decision
18% → 7%
Renewals flagged 60+ days out
40% → 85%
Read the full document

Figures are aggregated and rounded from past Fascia Labs engagements. No single client is described or identified, and no result here should be read as a benchmark or a projection for another company.

Next step

Ready to scope your diagnostic?

I don’t

Book a free 20-minute call. You describe what’s stuck; we name the most likely constraint and whether a diagnostic is the right next step.

Book a free 20-minute call

20 minutes · no prep · founder-led

I do

Go straight to the engagement system and pick the scope that matches the problem you have already named.

See the engagement system

Or take the free Friction Score

FAQ

What do I actually get?

A working document: an end-to-end map of how work, revenue, and decisions move through your business; a scored opportunity backlog of where AI compounds versus where it adds tool sprawl; and a prioritized 30–90 day roadmap with sequencing and ownership.

How long does it take?

7–14 days end to end. About 4–6 hours of operator time on your side — usually one or two scoping calls, three or four stakeholder interviews, and a working-doc review at the end.

Is this only for teams with AI pilots that stalled?

No, but it works for them. The stalled-pilot rescue is the same diagnostic with a different intake question: what shipped, what didn't, and why. Most pilots fail for operational reasons, and operational reasons are fixable.

Do I need clean data?

No. Messy data is usually one of the things the diagnostic surfaces. Part of the work is mapping where data is scattered, duplicated, or unreliable — and identifying what actually needs to be cleaned before any specific AI use case.

What does it cost?

CAD $500–$2,500 depending on team size and depth. Beta pricing available for selected early clients.

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