Solutions

From a single step to an operating model that holds.

We start with today’s work: what comes in, who decides, which data is needed, what may happen automatically and how success is measured.

Concrete starting points

Start where friction is measurable.

01

Understand and transfer documents

Review and structure quotations, orders, specifications or forms and prepare them for systems.

02

Triage requests and cases

Classify incoming work, add context, suggest priority and create complete handoffs.

03

Bring knowledge into decisions

Connect approved sources with case and master data while exposing uncertainty.

04

Coordinate status and exceptions

Track cases, detect missing steps and involve accountable people deliberately.

Four building blocks

Composable for each workflow.

01

Process automation

Connect recurring knowledge and document work with controlled system actions.

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02

AI Co-work

People and agents work on shared cases, handoffs and approvals.

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03

Managed Agents

Isolated, operated agents for clearly defined jobs and channels.

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04

Avatam

Optional platform capabilities for complex, integrated and governance-intensive agent systems.

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Selection criteria

Not every process needs an agent.

Deterministic rules often belong in normal software or workflow engines. Agentic systems fit when unstructured input, variable tools and context-dependent decisions dominate—and when boundaries and approvals keep failure manageable.

  • Volume and repeatability
  • Quality of available data
  • Impact of a failure
  • Measurable business value

AI process assessment

Find the process where AI can create real value.

We assess volume, decision logic, data, risk and success measures, then recommend a bounded first deployment.

Request assessment