AI & Data Intelligence

Your AI initiatives move forward when the foundations are in place.

Most AI programs stall for one of three practical reasons: the data is not ready, the use case lacks clear ownership, or the pilot has no defined path to production. We built a focused engine for each of these challenges, and they connect cleanly.

Assess your AI readiness

Foundation → Execution → Packaged proof

The three-engine model

Foundation

AICore Builder

Makes your priority data governed, trusted and AI-ready in a fixed 12-week pod.

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Execution

AIForce Multiplier

Fixed-tenure pods that build, deploy and operationalise your AI, analytics, RAG and automation use cases.

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Packaged proof

COGS.AI

A live decision-intelligence engine that turns your ERP data into SKU-level actual cost. Proof the model ships product, not decks.

AICore readies your data. AIForce ships your use case. COGS.AI shows you what the finished article looks like in practice.

Use cases

What you can bring us

AI data readinessRAG and enterprise copilotspredictive analyticsML model deploymentprocess automationdecision-intelligence dashboardscost and margin intelligenceoperational AI for manufacturing, supply chain and shared services

FAQ

AI & Data FAQ

Start with an AI data readiness assessment. If your priority domain needs work, AICore Builder fixes it in 12 weeks; if it is already usable, an AIForce Multiplier pod goes straight to the use case.

No. Each stands alone. They are designed so that whichever you start with, the next step is already integrated — no re-discovery and no new vendor relationship required.

Start where your AI actually needs it.

One assessment identifies whether your priority is data readiness, execution or proof on your own data.

Assess your AI readiness