Reads everything your team reads.
Invoices, contracts, claims, scanned forms, long email threads. We turn unstructured input into structured data, with validation, confidence scores and a review queue for the awkward ones.
Automate the work
behind the work.
We design, build and run the AI systems that handle your business processes end to end — invoices, tickets, onboarding, approvals — inside the tools your team already opens every day.
-
Capture
Email, PDFs, forms, tickets, calls.
-
Understand
Read, extract and classify.
-
Decide
Your policies and thresholds.
-
Act
Update the systems that matter.
-
Verify
Human checkpoints and audit.
Most AI projects stall in a demo.
Ours run on a Tuesday afternoon.
The hard part was never the model. It is everything around it — reading real documents, deciding inside your rules, writing back to your systems, and knowing what to do when the answer is not obvious. That is the part we own.
Built for the work that
does not fit a template.
Finance, operations, logistics, manufacturing, professional services, healthcare — we work across all of them. The sector changes the vocabulary; the shape of the work does not. If your team spends its day reading documents, making judgement calls and updating systems, this is for you.
Decides with your rules, not model guesswork.
Matching, tolerances, approval limits, escalation paths — ordinary business rules that your team can read and change. The model does the reading. Your policy does the deciding.
Lives inside the tools you already use.
No new portal to learn. The automation reads from and writes back to your CRM, ERP, helpdesk, warehouse and inbox — with SSO, permissions, retries and a full audit trail.
From workshop to running process.
Five stages, each ending in something concrete. You approve the scope and cost of a stage before the next one begins.
01
Discover
1–2 weeks
We shadow the team and measure the work: volumes, cycle times, error rates, where cases stall and who has to unstick them. Then we rank what is worth automating first.
02
Design
1 week
We agree exactly what the system may decide alone, what needs a person, and how success will be measured. The happy path, the edge cases and the failure modes get written down before any code.
03
Build
2–6 weeks
Built against your real documents and real cases, not a tidy sample. Every version is scored on a held-out set of historical examples, so you can see accuracy move before it touches production.
04
Integrate
1–2 weeks
It goes live beside the current process, not instead of it, so you can compare output on real work. When the numbers hold up, the manual path is retired — on your call, not ours.
05
Operate
Ongoing
We watch it in production, catch drift, review the cases it flagged and keep improving it as your process changes. Handover is always available.
0
Stages, from first workshop to a process we run
0
Team accountable for strategy, build and operation
0
Of workflows shipped with a human checkpoint
0
Handoffs to a third party you have to manage
Questions we get asked first.
Discovery usually takes one to two weeks. The first workflow is normally in production within two to six weeks of that, running live alongside your existing process so you can compare the two before switching over.
No. Messy input is the normal starting point, not a blocker. We build the extraction and validation layer that turns inconsistent documents, emails and records into structured data as part of the work.
Your data stays inside infrastructure you control or a dedicated environment set up for you. We use enterprise API tiers with training disabled by default, and we can deploy to your own cloud tenancy when your requirements call for it.
Every workflow is built with confidence thresholds, deterministic business rules and a human review queue. Low-confidence cases are routed to a person with the reasoning attached, and every decision is logged so it can be audited after the fact.
No. We build on top of what you already run. The automation reads from and writes back to your CRM, ERP, helpdesk and inbox, so your team keeps working in the tools they already know.
You own everything we build for you, including the prompts, integrations and orchestration code, and it is handed over in your own repository. Engagements are fixed-scope per phase, so you approve the cost of each stage before it starts.
Tell us where
the time goes.
A 15-minute call, no deck. Describe the process that frustrates you most and we will tell you honestly whether it is worth automating — and roughly what it would take.