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* Automation

  • Document processing
  • Workflows
  • Reporting

The work between systems: reading documents, moving data, chasing approvals and writing the weekly report. We automate it with models where judgement is needed and plain code where it isn't, and we measure the result against how it runs today.

What we build

  1. 01

    Document processing

    Invoices, contracts, forms and claims read, checked and entered, with confidence scores and a review queue for the uncertain ones.

  2. 02

    Workflow automation

    Multi-step processes across your tools, in finance, operations and HR, with approvals where they matter.

  3. 03

    Data & reporting agents

    Reports and analyses produced from your data on a schedule or on request, with every number traceable to its source.

Built in, every time

  • ✓A baseline of today's time and error rate
  • ✓Accuracy measured on your own documents
  • ✓Review queues instead of silent failures
  • ✓Runs inside your infrastructure

Why now

47%

of teams use agents for data entry and extraction, the most common agent task.

Zapier · 2026 ↗

60%

rate data analysis and reporting as the highest-impact agent use outside coding.

Anthropic, State of AI Agents · 2026 ↗

How it runs

  1. 01

    Discover

    Two weeks, fixed scope. We map the use case, test the riskiest assumption on your data, and hand you a plan and a fixed quote.

  2. 02

    Build

    Fixed-price milestones. A production system with evals, monitoring and documentation, shipped in weeks, not quarters.

  3. 03

    Operate

    We stay to run it: monitoring, evals, model upgrades and incident response. Or we hand it over cleanly.

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