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AI Automation

Repetitive work in finance, operations, sales and HR, automated. AI handles the judgment calls; plain code handles the rest.

An old wooden sorting cabinet with rows of pigeonholes (illustrative)

Automation that survives the edge cases

The happy path is easy. We design for the approvals that stall, the documents that arrive malformed and the sync that fails at 2am. Fallbacks, retries and monitoring mean a broken step pages someone instead of quietly dropping work.

What’s included

  • A written map of the workflow, exceptions included
  • The automated workflow, with AI only at the judgment steps
  • Fallbacks and retries for steps that fail
  • Alerts that reach a person when something breaks
  • Handover docs for your team

Typical timeline

2–8 weeks

After a first week spent learning the work.

A good fit when

  • People copy the same data between systems by hand

  • Approvals or follow-ups stall in inboxes

  • Invoices, orders or forms arrive in different formats and need sorting

What you get when we hand over

  1. Reviewed, tested changes

    Every change is reviewed and tested against acceptance criteria you’ve agreed to, so the last week of a project holds no surprises.

  2. Monitoring before launch

    Monitoring and error alerts go in before launch, so problems show up on a dashboard before your customers see them.

  3. Security from the first sprint

    Access checks, secure settings and performance budgets go in during the first sprint, while they’re still cheap to get right.

  4. Your code, your IP

    You get the repository, the infrastructure and the docs your team needs to run it without us. Once the project is paid as agreed, the IP is yours.

Questions about cost, timing or ownership? See the FAQ.

Tell us the process that eats your week

One message is enough to start. If it’s a fit, we’ll send questions back. If it isn’t, we’ll say so.