Example · Finance
Invoice inbox agent
Reads supplier invoices, matches them to purchase orders, posts the clear ones and queues the rest for review.
AI agents & workflow automation
AI agents that take real work off your team's plate.
We build agents and automations that read documents, work through inboxes, update your systems and hand anything uncertain to a person. They're built around the tools you already use, with guardrails from day one.
What we build
Agents you can actually rely on.
An agent is only useful if it's reliable. Every build ships with evals, logging, and a person in the loop where it matters.
- Document and inbox agents for invoices, orders, claims and contracts
- Multi-step agents that use your CRM, ERP, helpdesk, spreadsheets and email
- Internal copilots that answer from your own data
- Scheduled automations for reporting, data entry and follow-ups
- Review queues where people handle the uncertain cases
- Evals, audit logs and cost limits on every agent
Example projects
Where it pays off.
These are examples of first projects, not client case studies. We prove it on your own data first.
Example · Operations
Order desk agent
Turns emailed orders and PDFs into clean entries in your ERP or spreadsheet, and asks the customer when something is missing.
Example · Sales ops
CRM clean-up agent
Merges duplicates, fills missing fields and files every call note against the right deal.
How it runs
From one workflow to production in about 90 days.
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01Day 0 · 30 min
Audit
A free call about the problem, your data and your constraints. You leave with a ranked plan.
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022 weeks
Prototype
An agent running on your real documents, with a review screen for your team.
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03Before go-live
UAT & sign-off
Your team tests it on real cases and we fix what they find. Nothing goes live until you sign off.
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04To ~day 90
Ship
Production rollout with evals, monitoring, cost limits and a runbook.
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05Ongoing
Scale
We extend it, tune it and train your team, then hand it over when you're ready.
Built to be trusted
Automation you stay in charge of.
A person stays in charge
Low-confidence cases always go to a person. You set the threshold, and we tune it on your data before launch.
Every action is logged
You can see what the agent read, what it decided and what it changed, so every step can be audited.
Costs are tracked
Model and API spend is measured per task, with limits so a bad day can't become a bad invoice.
FAQ
Straight answers.
Anything else? Ask us on the audit call, or just email.
Which tools can the agents work with?
Anything with an API, plus email, PDFs and spreadsheets. Where there's no API, we can use browser automation. CRMs, helpdesks, accounting tools, Google Workspace and Microsoft 365 are common starting points.
What happens when the agent isn't sure?
It stops and hands the case to a person, along with what it has found so far. You choose the confidence threshold, and we tune it on your real data before launch.
Will it replace our team?
It takes over the repetitive part of the work. Most teams spend the time they get back on exceptions, customers, and work that needs judgement.
How soon is it live?
You get a working prototype on your own documents in two weeks. Most production rollouts finish within about 90 days of the audit.
Bring us the workflow that drains your team.
A free 30-minute call. You leave with a ranked plan, whether or not you work with us.