AI automation for the busywork that eats your team's day.
Every team loses hours to reading, sorting, and copying information between tools. We build AI automations that take on that repetitive work, extraction, triage, summarization, and routing, with human review where it counts, so your people spend their time on judgment, not busywork.
The work AI is actually good at
Automate the understanding, not just the clicks
Traditional automation is great at rules: if this, then that. It falls down the moment a task needs someone to read something and decide, sort an email by intent, pull the key figures from an invoice, summarize a long thread. So those tasks stay manual, and they add up.
That reading-and-judging step is exactly what modern AI does well. We build automations that handle it reliably, wired into your tools and triggered by real events, with confidence thresholds and human review so the output is something you can trust, not just fast.
What you get
Automations that take real work off your plate
Triggered by your events, wired to your tools, and measured so you can trust what runs alone.
Task automation with AI
The judgment-light steps people repeat all day, classifying, extracting, summarizing, drafting, routing, handled automatically.
Document and data processing
Structured data pulled from messy inputs like PDFs, emails, and forms, so information lands in your systems without manual retyping.
Triage and routing
Incoming tickets, leads, or messages categorized and sent to the right place, so nothing waits in an unsorted queue.
Event-triggered pipelines
Automations that fire on a new email, upload, ticket, or record, so work is done the moment it arrives, not on the next manual sweep.
Human-in-the-loop review
Low-confidence cases flagged for a person instead of guessed at, so speed never comes at the cost of a wrong call that matters.
Integration with your tools
Reads and writes to the systems where work already lives, your CRM, inbox, storage, and databases, so automations fit your stack.
Accuracy controls and evals
Confidence thresholds and evaluation sets, so each automation is measured on real cases and only runs unattended where it's earned it.
Observability and audit
Logs and a record of every automated decision, so you can see what ran, trace a result, and prove what happened when asked.
How we build it
From manual task to a trusted automation
A clear path from mapping the task to an automation you can run unattended, reviewed at every stage.
- 01
Discovery & task mapping
We find the repetitive, judgment-light tasks that eat your team's time and are a good fit for automation, and size the payoff.
- 02
Design
We design the data flow, choose models, and set confidence thresholds and review points before building anything.
- 03
Build
Typed, tested pipelines wired to your tools, shipped in reviewable iterations you can try on real work as they land.
- 04
Evaluate & harden
We run evals, tune thresholds, and route low-confidence cases to a person, so the automation is trusted where it runs alone.
- 05
Launch & improve
We deploy, monitor accuracy and volume, and expand coverage to the next task once the first is proving its worth.
- Python
- TypeScript
- Anthropic Claude
- OpenAI
- Redis
- PostgreSQL
Why it matters
Repetitive work is a tax you pay every day
The hours spent reading, sorting, and rekeying don't show up as a line item, but they cap how much your team can handle and slow every response your customers wait on. As volume grows, that hidden tax grows with it, and hiring to cover it is expensive.
Automating the language-heavy steps changes the math: work gets done in seconds, at any hour, without adding headcount, and your people move to the cases that need them. Done with accuracy controls and review, it's a durable gain in capacity rather than a source of new errors.
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FAQ
AI automation, answered
Have a repetitive process in mind? Book a call and we'll scope the automation with you.
What kinds of tasks can AI automation handle?
The repetitive, language-heavy work that used to need a person's reading and judgment: classifying and routing messages, extracting data from documents and emails, summarizing long content, tagging records, and drafting routine replies. If a task involves understanding text and following clear rules, it's usually a candidate.
How is this different from business process automation?
Business process automation orchestrates a whole workflow end to end, the steps, approvals, and handoffs across systems. AI automation is the intelligent step inside or around those workflows: the reading, classifying, and summarizing a rules-only tool can't do. They work well together, and often we build both.
What if the AI gets something wrong?
We design for it. Each automation has a confidence threshold, and anything below it is routed to a person rather than acted on blindly. We measure accuracy with evals on real cases, and only let an automation run unattended where it's proven reliable enough for the stakes involved.
Does it connect to our existing tools?
Yes. We integrate with the systems where your work already lives, your CRM, inbox, storage, and databases, through typed, tested connections, so automations read and write in place instead of becoming another silo.
Will this replace our team?
The goal is to take the repetitive, low-judgment work off your team, not the work that needs people. Automating triage and data entry frees your staff for the cases and decisions that actually need human judgment, which is usually where they add the most value anyway.
How do you measure that it's working?
We track accuracy against evaluation sets, the share of cases handled without human review, volume processed, and time saved. That gives you a clear picture of the return, and shows where tuning or a higher review threshold is worthwhile.
Let's build something worth shipping
Tell us what you're working on. Book a call to talk through it, or send a few details and we'll get back to you with next steps.