AI and process transformation for manufacturers.

Margins squeezed by input costs, and plans that live in spreadsheets. We find where value is lost across process, people and technology, then govern delivery until the results show, vendor- and tool-agnostic.

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Two decades leading finance and transformation inside global manufacturers, including the Fortune 500.

The pressures we see.

Margins move before the numbers do.
Input, energy and labour costs shift faster than prices, and the margin hit shows up a month late.
Plans live in spreadsheets.
Demand, production and inventory plans sit in separate files that nobody fully trusts.
Data is stuck in the ERP.
Plant, ERP and finance systems don’t talk, so every answer takes a week and a manual extract.

Where value is lost in manufacturing.

Five places we usually find it. Most sit around the ERP, not inside it.

Demand forecasting and S&OP

Forecasts built from orders, history and external drivers, so production follows real demand.

Inventory and working capital

Slow-moving and excess stock visible by site and product, so cash isn’t tied up on the shelf.

Procure to pay

Invoice matching and supplier queries handled by exception, not by hand.

Order to cash

Process mining shows where orders stall between sales, credit, dispatch and billing.

Margin reporting and month-end

Product and customer margin every month, refreshed from the ERP instead of rebuilt in Excel.

Recent work.

A Fortune 500 food and beverage company, in-house

Finding the waste in order to cash, in one week.

Challenge: Order to cash ran across several systems and teams, and nobody could see where orders actually stalled.
What we did: Ran AI-powered process mining on system event data to map the real path of every order, end to end.
Outcome: Every source of waste located and ranked, so the fixes could start on evidence rather than opinion.

30%

process waste identified within one week

A major Australian fresh produce group

Choosing a data platform on evidence, not vendor pitches.

Challenge: Data sat across field, operations and finance systems, and every vendor offered a different platform answer.
What we did: Defined the data products the business needed first, then evaluated vendors against them, independently.
Outcome: A data product strategy and a vendor selection the leadership team could defend.

vendor commissions, so every recommendation stayed independent

How we work with manufacturers.

Practitioner-led and vendor-neutral. We take no commissions and resell no software.

Advisory sprints

A costed, vendor-agnostic roadmap for planning, operations and finance, in four to twelve weeks.

Discuss a sprint

Fractional AI and transformation lead

Part-time AI leadership that runs one agenda across plant, supply chain and finance.

Discuss a fractional role

AI and process delivery

Hands-on fixes in close, reporting and procure to pay, for leaner manufacturing teams.

Explore delivery

Keynotes and training

Sessions that put plant, supply chain and finance leaders on the same page about AI.

Book Tariq

Also see delivery, about and all industries.

Start with one conversation.

Tell us where you think the waste is. We’ll tell you plainly whether we can help, and what it would take.