Applied AI & automation
We build AI into processes where volume, accuracy and cycle time are already measured: invoices, orders, contracts, cases and regulatory data.
What it covers
- 01
Document intelligence
Extraction from invoices, orders, contracts and utility statements. When an off-the-shelf model isn't precise enough for your formats, we fine-tune it.
- 02
Classification and decisioning
Keyword, pattern and intent classification that auto-approves routine items and routes exceptions to people, with the reason attached.
- 03
Matching and retrieval
Vector search and custom matching against master data such as materials and sold-to, ship-to and consignee records.
- 04
Workflow automation and agents
Escalation, routing and follow-up inside the systems teams already use. People stay in the loop where the decision warrants it.
- 05
Evaluation in production
Accuracy is measured on real volume before and after launch, and models are tuned from analyst feedback.
Where this sits
Every engagement follows Strategy, Build, Govern and Operate. This capability does most of its work in the highlighted stage.
- 01 · Strategy
Find where AI pays
We map processes, volumes and systems, then rank use cases by value and feasibility.
A funded roadmap and an AI CoE operating model
- 02 · Build
Embed engineers, ship systems
Forward deployed engineers work inside your teams and connect models to SAP, CRM, identity and data.
Production software in your environment, not a demo
- 03 · Govern
Control every AI action
Identity, policy, approvals, data controls and audit apply before anything executes.
A system your security and audit teams can sign off on
- 04 · Operate
Stay accountable after launch
Monitoring, evaluation, cost management and steady improvement against the original target.
Named owners, runbooks and measured outcomes