Profit engineering

Profit-engineered AI systems for manufacturing.

The right information, to the right person, at the right time, from first enquiry to final margin. Built by someone who spent 23 years inside the plants they serve.

Take the assessment →

Free assessments

Where does your company stand?

Two short checks. Enter your work email at the end to see your result.

Profit maturity assessment

12 questions across price, cost, throughput and cash. See which of five stages you are at, from Reactive to Autonomous, and where to start.

Take the 3-minute assessment →

AI fit check

Does your business really need AI? Pick your work areas, grouped by function, and get an honest verdict for each, your decision speed, and the yearly cost of non-value-added office time.

Take the AI fit check →

How we work

Start small, on your own data, and decide on evidence.

Start with a free assessment. Then a 2-week audit on the lever that leaks most.

Take the assessment →

1. Free assessment3 minutes

Take the profit maturity assessment or the AI fit check. You see where you stand, which profit lever is weakest, and where AI would actually pay back.

2. Agent Audit2 weeks, on your own data

We map one process that hurts and you get a working prototype on your own data, with a written estimate of the value.

3. BuildOne system in production

One system in production, connected to your ERP/MES, with your team trained to run it.

4. Run & ImproveEvery month

Monitoring, tuning and new rules each month.

What we’ve built

Most consultants hand over a report. We build the system that fixes it.

Eight working systems, grouped by the profit lever they fix.

Price

Market intelligenceA weekly briefing on customers, competitors and capacity

A weekly briefing on capacity, investments, prices and customer programmes in your industry, drawn from public sources.

GTM agentsResearched, ranked accounts and drafted outreach every week

Agents find and rank the accounts most likely to buy, research each one and draft the first message. Your team spends its time on conversations, not on research.

Cost

MES for die castingShot-to-shipment traceability, with downtime and scrap by cause

Ties each casting to its die, machine, shift and melt, with live OEE and downtime and scrap by cause.

PPAP verificationEach PPAP element checked before the customer sees it

Checks every PPAP element against the customer's requirements and against the other elements, before submission.

Doc intelligenceEvery supplier invoice checked and routed to the right approver

Every supplier invoice is read, its key data pulled out and checked against the purchase order, and it goes to the right approver. Mismatches are flagged before payment.

Throughput

S&OP planningOne weekly plan for sales, purchasing and production

Turns the sales outlook into a weekly plan that is feasible in production, purchasing and machine capacity.

Programme managementEvery launch scored for risk weekly, before a gate slips

Tracks every APQP programme against its gates, scores execution risk each week with a patent-pending method, and flags the few tasks that will move the launch date.

Cash and margin

Profit engineeringMargin by part and by customer, and where it leaks

Margin by part, customer and machine, with a bridge showing where profit was lost between quote and shipment.

About me

I've spent 23 years where a manufacturing company's growth is won or lost: the shop floor, the new-part launch and the supply chain.

My work has been turning constraints into capacity, late launches into on-time ones, and scattered data into numbers leadership trusts.

I wrote Empowered, a book on the Theory of Constraints, and created a patent-pending method for predicting programme risk. Today I build that experience into AI systems that run a manufacturing business from first enquiry to final margin.

Built on enterprise platforms: Google Cloud, Microsoft Azure, Anthropic Claude and OpenAI models. Model-agnostic, including open models that run fully on your premises.

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