AI for Process

Automate the workflows your teams repeat every day.

Agentic automation that reads documents, makes routine decisions, moves work between systems and asks a person only when it should. Every step is logged, governed and reversible.

Signs you need it

• Staff re-key the same data between systems every day
• Invoices, forms and contracts pile up waiting to be read and routed
• Approvals stall because nobody knows where a request is
• Previous automation broke the first time a format changed

Use cases

• Document intake and extraction: Invoices, contracts and forms read, checked against your rules and entered into the right system.
• Multi-step workflow agents: Agents that coordinate steps across your CRM, ERP and email, and pause for approval where policy requires it.
• Governed approvals: Thresholds, escalation and sign-off written into the workflow, with a full audit trail.
• Forecasting and monitoring: Demand, cost and risk signals surfaced early so teams act before the exception becomes an incident.

What you get

• A mapped, costed workflow with the steps that should and should not be automated
• Agents integrated with your systems of record through documented APIs
• Human approval gates and exception handling designed in
• Audit logs of every decision and action
• Source, runbooks and documentation handed over to your team

How it works

• Map: We follow the work as it happens and measure where time and errors actually go.
• Design: Decision rules, approval points and exceptions are agreed before anything is built.
• Build: Agents are integrated with your systems and tested against real historical cases.
• Run: A supervised launch, then monitoring and tuning as volumes and formats change.

When it is not the right fit

Processes that change every week or have no stable rules. Fix the process first, then automate it.

What is AI for Process?

AI for Process is workflow automation built on agentic AI: agents that read documents, make routine decisions and move work between systems, with people approving what matters.

How is this different from RPA?

Classic automation follows fixed screens and breaks when formats change. Agentic automation understands documents and context, and handles variation and exceptions.

Can we see what the agent did?

Yes. Every action and decision is logged with its inputs, so you can audit and reverse it.

Where do we start?

With a one to two week discovery that maps one workflow and gives you a costed plan you own either way.