AI Automation

AI Automation Services That Erase Your Busywork

The manual work between your systems, orders, follow-ups, reports, data entry, can run itself. We build AI automation as real software, engineered in code, so it holds up when the edge cases show up.

Get a free workflow audit

Tell us your most annoying manual process. We map what is automatable and what it would take. No obligation.

running human review

The busywork we take off your team

If it happens every day and follows rules, it can run itself. These are the workflows we automate most for small and mid-sized businesses.

  • Order processing

    Orders arrive by email, portal, and WhatsApp, and someone retypes each one.

    After: Captured, validated, and pushed into your system in seconds, every time.

  • Lead qualification and follow-up

    Inquiries wait hours for a first reply, and interest cools fast.

    After: Every lead answered in minutes, qualified with your questions, logged in the CRM.

  • Reporting

    Someone spends every Monday assembling numbers from three tools.

    After: One plain-language summary in your inbox or Slack before the week starts.

  • Data entry between systems

    Copying details from email into spreadsheets and the CRM, daily, by hand.

    After: Systems stay in sync on their own, with a log of every change.

  • Document handling

    Invoices, POs, and forms pile up waiting for someone to read and file them.

    After: Extracted, categorized, matched, and filed, with the exceptions flagged.

  • Inbox triage

    A shared inbox where urgent messages drown in routine ones.

    After: Sorted, drafted, and routed, so people only touch what needs a person.

Workflow needs judgment calls, not just rules? That is where an autonomous agent fits instead. See AI agent development, or ask us and we will tell you straight which one your workflow needs.

Custom code, not no-code glue

Most automation agencies wire your business together with drag-and-drop connector tools. That works for a demo. It breaks in production. We write automation as real software because your operations are production.

  • Edge cases are the job

    Connector tools work until the input is slightly wrong. Real code handles the malformed order, the double booking, the odd reply, and escalates what it cannot handle.

  • You own it

    The automation is your software, in your repository, on your infrastructure if you want. No platform seat fees creeping up as usage grows, no vendor to outgrow.

  • It scales like software

    Version control, tests, monitoring, and logs. When volume triples, the pipeline does not care. When something fails, you know what, where, and why.

  • AI where it earns its place

    Language models read the messy inputs: emails, documents, voice. Deterministic code does the moving and writing. Each part does what it is reliable at.

The stack we build with

  • LangChain
  • Python
  • TypeScript
  • OpenAI
  • Anthropic Claude
  • Whisper
  • ElevenLabs
  • Postgres
  • Redis
  • Docker
  • AWS
  • GCP
  • Self-hosted LLMs

Need it fully private? We deploy the same automations on self-hosted models inside your own infrastructure.

From audit to running in 2 to 4 weeks

One scoped workflow at a time, live fast, proven with your real volume before we automate the next one.

01

Workflow audit

Free. You show us how the work happens today; we map the steps, the systems, and the time it eats, then tell you honestly what is automatable.

  • Order intake: automatable
  • Weekly report: automatable
  • Refund decisions: keep human
02

Map and scope

We write down the rules, the edge cases, and what done-correctly means, then lock a fixed scope and timeline for the first workflow.

Trigger
Rules + exceptions
Fixed scope
03

Build and test

We build in code, then run the automation against your real historical data until it handles the messy cases, not just the happy path.

✓ 412 orders processed
✓ 38 edge cases handled
→ 3 routed to human
0 silent failures

04

Run and improve

Live with monitoring, alerts, and a weekly review of everything it escalated. It gets more capable as the edge cases get handled.

Hours saved / week 19
Handled without help 96%
Median run time 4.2s

Automation we have already shipped

Not sure what is automatable in your business?

Bring us the process your team complains about most. We map it, tell you what can run itself and what should stay human, and you keep the map either way.

Get a free workflow audit

Questions owners ask before automating

Straight answers to what business owners ask us before they hand a workflow to software.

  • We take a manual workflow, order intake, lead follow-up, reporting, data entry between systems, document handling, and build software that runs it end to end. That includes mapping the process, writing the automation in code, connecting it to your existing tools, testing it against your real data, and monitoring it in production.

  • Automation follows rules you define: when an order arrives, extract it, validate it, file it. An agent makes decisions within guardrails: it plans steps and adapts to what it finds. Rule-based workflows want automation; judgment-involving workflows want an agent. See our AI agent development service, and if you are unsure, describe the workflow and we will tell you which fits.

  • Yes. We connect to whatever your business already runs: Gmail, Outlook, Slack, HubSpot, Salesforce, Zendesk, spreadsheets, accounting tools, and internal systems. If a tool has an API we integrate it directly, and if it does not, we build the connector. You do not need to replace anything.

  • The first scoped workflow typically goes live in 2 to 4 weeks. That includes the audit, a fixed scope, the build, and testing against your historical data. Larger workflows or legacy integrations can take longer, and you get a fixed timeline at the end of the audit, not a moving target.

  • Connector tools are fine for simple, low-stakes links between apps. They struggle with messy inputs, edge cases, and scale, and their fees grow with usage. We write automation as real software: it handles the exceptions, logs everything, lives in your repository, and does not break when volume triples. For business-critical workflows, that difference is the whole game.

  • The automation runs with monitoring and alerts, and everything it escalates to a human gets reviewed so the rules improve over time. We stay on for optimization, or hand the codebase to your team with documentation. Either way you own the software outright.

Ready to stop doing the busywork by hand?

One conversation to map your most annoying workflow and get an honest read on what can run itself.

Let’s Talk