AI Agent Process Automation

Hand repetitive work to AI

AI agents read data, decide the next step and execute tasks across systems, with people still approving key steps.

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Scheduled trigger | Daily 08:00Read from data platformAI AgentAggregate metrics, detect anomaliesAnomaly → human reviewKeep audit trailNormal → auto-sendEmail / Teams / Slack

Pain points

The hidden cost of manual processes

Copying data into Excel by hand every day, tidying it up and emailing it out is slow and error-prone.

Processes span multiple systems, and traditional RPA stops at the first exception.

Business logic lives in a few people’s heads—when they leave, it’s gone.

How we do it

Controllable, auditable automation

  1. Map the processIdentify which steps can be automated and which need human review.
  2. Data foundationBuilt on the data platform, so agents read unified, accurate data.
  3. Connect systemsConnect existing systems with Email, Teams and Slack.
  4. Human in the loopKey decisions stay with people, with a full activity log.

Use cases

Start with these processes for the fastest results

Reporting

Automated management reports

Daily or weekly management reports generated and delivered automatically.

Monitoring

Anomaly detection & alerts

Automatically notify owners when key figures look abnormal.

Collaboration

Documents & handoffs

Document consolidation, data archiving and cross-department handoffs.

FAQ

FAQ

How are AI agents different from RPA?

RPA follows fixed on-screen rules and breaks easily on exceptions; AI agents read data, decide the next step and hand key decisions to people.

Which processes should we automate first?

Highly repetitive processes with clear rules and well-defined data sources—such as daily report generation and delivery, anomaly alerts, and document consolidation and handoffs.

How do you keep AI from making wrong decisions?

Key decisions keep a human approval step and every action is logged for audit. Agents read curated data-platform data rather than scattered files.

Explore next

Let staff query data directly

AI Assistant

Query data and documents in natural language, with cited sources.

Numbers don’t match and data is scattered

Data Platform

Organize your data into a single source of truth for the whole company.

See real results first

Case Studies

Anonymized cases from aviation, automotive, a foundation and food retail.

Tell us about your most time-consuming process

We’ll help assess the feasibility and value of automating it.