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METHODOLOGY

How every demo actually gets built.

The same nine steps, every time — so you know exactly what you're getting before you pay for it.

PTM

Once you move forward, we run on Process, Training, Mapping — our own framework for exactly what work happens, what your team needs to know, and who does each part: human, AI, or both. See a sample →

01 DIAGNOSE The actual cause, not just the symptom you're feeling.
02 FRAMEWORK A real track record, not a fresh guess for your pitch.
03 P&L MAP One line on your P&L, start to finish, math included.
04 MECHANISM Built from patterns we've already used, not improvised.
05 VALIDATE Two reviews before anything reaches you.
06 DEMO Your numbers, your tools, not a slide deck.
07 FEEDBACK Tell us what to change — we make it, once.
08 BUILD An engineer, an architect, and an expert in your industry.
09 SUPPORT A real walkthrough, then ongoing support, priced the same honest way.
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A real example

Meridian Supply Co — Financial services

"Our AR team manually logs every incoming customer invoice payment against open invoices, and we keep finding mismatches weeks later when the books don't reconcile."

§02 FRAMEWORK Six Sigma DMAIC 39/45
§03 P&L LINE AR labor cost — ~40 hrs/mo ~8 hrs/mo
§04 MECHANISM Automated payment-to-invoice matching & exception flagging
§04 AGENTS Data Extraction → Reconciliation/Matching → Exception/Diagnosis → Notification
§08 PTM Semi-Automated (SA) — clean matches clear themselves, variances escalate to the AR Lead
§05 VALIDATE Before/after integrity check — pass

≈32 hrs/month of manual matching recovered, without adding headcount.

§08 TEAM — BUILD

FDE / Client Lead1 person · 18 hrs
Solution Architect1 person · 14 hrs
Software Engineer2 people · 62 hrs
AI / Automation Engineer1 person · 24 hrs
Subject Matter Expert1 person · 12 hrs
QA / UAT1 person · 10 hrs

§09 TEAM — CARE + OPTIMISATION

FDE / Client Engagement3 hrs/mo
Technical (monitoring, maintenance)5 hrs/mo
AI Optimisation2 hrs/mo

Illustrative — every proposal shows the real team and hours behind your own build.

The detail, for anyone who wants it

01

Find the real problem

We dig past the symptom to what's actually causing it, and tell you plainly how sure we are — proven, likely, or a working guess. No fact and no guess ever look the same.

02

Use a proven method

We match your problem to an approach that's already worked elsewhere — Six Sigma, Lean, and others — and show you why it beat the alternatives, not just hand you the winner.

03

Show the number it moves

We name the exact cost or revenue line this fixes — not "efficiency," a real number — and show the arithmetic so you can check it yourself.

04

Design the actual fix

We design exactly what it does and when, using AI building blocks we've built before — never a one-off idea invented for your demo.

05

Check it before you see it

Every demo gets checked twice — the reasoning, then the actual working product. If something's off, we fix it first, not after.

06

See it actually work

Press Run and watch it move, using your own numbers and the tools you already use. Something you can click through, not imagine.

07

One round, then we build

You give feedback, we incorporate every point, no back-and-forth. From there: 30 fixed days to done.

08

A named team, not a black box

You see exactly who's staffed on your build and how many hours — including someone who actually knows your industry, not just the code.

09

We stay on it after launch

We walk your team through it at handover — not a link and a goodbye — then keep it running: monitoring, updates, and support.

Ready to see it applied to your problem?

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