Document processing
Read invoices, forms, contracts and emails, extract the fields that matter and drop clean, structured data into your systems.
The work that drains your team isn’t hard — it’s repetitive: copy this, check that, route it on. We build AI-powered automations that move work between systems and people, with a human in the loop exactly where it matters.
If it’s repetitive, rules-based and spread across tools, it’s a candidate. These are the ones teams automate first.
Read invoices, forms, contracts and emails, extract the fields that matter and drop clean, structured data into your systems.
Keep records consistent across your CRM, spreadsheets and tools — the copy-paste work that’s pure friction and pure error risk.
Triage incoming requests, apply your rules, route to the right person and chase the ones that stall — without anyone babysitting a queue.
Pull the numbers, write the recap and deliver it on schedule — the weekly report nobody enjoys assembling by hand.
A demo runs once on clean data. Real automation survives the messy input, the outage and the edge case — that’s what we build.
End-to-end flows that carry a task from trigger to done, with AI steps where judgment is needed and plain logic where it isn’t.
Connectors to your CRM, ERP, email, storage and internal APIs so work flows between them without a person as the glue.
Start on a new email, form, file or schedule, and process work through reliable queues that don’t drop tasks under load.
Review and approval steps built into the flow, so a person signs off on the calls that shouldn’t be fully automated.
Retries, fallbacks and dead-letter handling so a hiccup doesn’t lose work — and you hear about the exceptions that need you.
Dashboards, logs and alerts on every run so you can see throughput, catch failures early and prove the automation is earning its keep.
We automate what should be automated and leave people in charge of what shouldn’t — then prove it holds before you rely on it.
We follow the process as it really runs today — every step, tool and decision — and mark what to automate and what a human must keep.
We design the flow with clear triggers, steps and hand-offs — AI where judgment helps, deterministic logic where it’s safer.
We connect the systems the work touches, with least-privilege access, so data moves cleanly instead of through a person’s clipboard.
Where the model makes decisions, we add guardrails and confidence checks — and route the uncertain cases to a human instead of guessing.
We run the pipeline against real, messy inputs and the awkward edge cases, and confirm it fails safely before it touches live work.
We launch gradually, monitor throughput and failures, and tune as volume grows — so the automation gets more reliable, not more fragile.
Automation is only worth it when it’s trustworthy — here are the questions that decide whether it will be.
Ask us somethingMost systems with an API or a supported connector — CRMs, ERPs, email, storage, databases and internal services. Where a tool has no API, we find the most reliable path in and out.
We add confidence checks and route low-confidence or high-stakes cases to a human review step, and every run is logged — so mistakes are caught and corrected, not shipped silently.
No — you get more. Dashboards and alerts show every run, approval steps keep humans on the important calls, and you decide which parts run unattended.
A focused workflow is commonly a few weeks. It depends on how many systems are involved and how clean the inputs are — which mapping the workflow makes clear up front.
It depends on scope and integrations. After a short discovery we give a range tied to milestones, plus the ongoing running costs — usually a fraction of the hours the automation gives back.
Tell us what you are building. We will come back within one business day with questions, not a pitch deck.
Only relevant questions appear as you make selections.