AI and analytics for finance and operations leaders

Move the numbers your CFO and your plant both watch.

Fixed-price analytics and AI work for process and manufacturing companies: cash cycle, inventory, production planning, cost and pricing. Built on the data already in your ERP, planning and plant systems. A ranked, dollar-sized list in four weeks, with a source trail behind every number.

Delivered in: Process industry, manufacturing, FMCG and pharma.

Where the money and time go

Cash cycle

Receivables, payables and inventory: what actually drives days, and which policy changes are worth the effort.

Production planning

Plans that match demand and the cash targets the business has set, including the targets in a 100-day plan.

Cost and margin

Where cost and margin really move, attributed to its drivers instead of averaged away.

Pricing and forecasting

Models for price, demand and cash that your team can rerun with its own assumptions.

Numbers we measure and move:DSODPOInventory reductionCash conversion cycleClose timeProduction plans that support the 100-day plan

How it works

1

Scope

A 30-minute conversation. We agree what is in, what is out, the price and the number of working sessions.

2

Measure and model

Read-only access to the data we agree. We baseline the numbers, trace each to its source, and model the changes.

3

Rank and act

A ranked list in dollars, a 30-day plan for the quick items, and what a larger project would involve.

Why fixed price

Scope, deliverables, price and the number of working sessions are agreed before we start. You know the cost up front, and we carry the effort risk.

AI-assisted analysis compresses the measurement and drafting work. That is how we hold a fixed price without padding it.

Built on the data you already have

Your ERP (including JD Edwards and SAP), planning and close tools, and plant and sales systems already hold what the models need. We read from them, we do not re-implement them, and every number traces back to its source.

Two decades of analytics

Statistics, machine learning and AI applied to operations and finance. Process industry, manufacturing, FMCG and pharma.

Plant and process analytics

Process modeling, statistical process control and cost-reduction analytics in manufacturing.

Planning and operations optimization

Production planning, on-demand manufacturing flows, plant operations, sales and pricing optimization.

Forecasting and attribution

Predictive models, performance and marketing attribution, and success forecasting.

Quantitative finance

Derivatives pricing, portfolio hedging, and a statistical-arbitrage fund built on econometric models.

Machine learning and language models

NLP on financial disclosures, bankruptcy prediction, anomaly detection, computer vision, and a semantic platform built on language models.

Finance and operations systems

Order to cash, procure to pay and record to report across JD Edwards and SAP, which is where much of the data lives.

More about the work and background

Research

The CFO's levers, as a simulator

Why a day of working capital is worth less than the deck says, and why tools raise the ceiling on policies you already control. Move the dials and see which number was load-bearing.

Open the simulator

Our own models and published research on financial data, in one place.

All research

Start with a conversation

Tell us which number you want to move. If an audit is not the right fit, we will say so.

Book a 30-minute conversation