Service

AI automation & agents development

Document processing, drafting, classification and agentic workflows with human checkpoints. Built with a defined process, documentation and a clean handover path.

This page is for you if…

  • Work depends on fragile spreadsheets or one person's memory.
  • Existing software is close but forces too many manual exceptions.
  • Operations needs a system of record the team can trust.
  • You need senior engineers who can speak with operators and IT.

Concrete builds

What we build for this problem.

invoice extraction

Designed around ownership, exception paths, permissions and measurable operating value.

intake classification

Designed around ownership, exception paths, permissions and measurable operating value.

draft response workflow

Designed around ownership, exception paths, permissions and measurable operating value.

agent with approval gate

Designed around ownership, exception paths, permissions and measurable operating value.

How it goes.

01 Mapprocess, data, owners, edge cases
02 Prototypescreens, workflow states, integration contract
03 Buildtwo-week releases with demoable software
04 Handoverdocs, training, monitoring and support

Operating model

Document → extraction → confidence score → human checkpoint → system update → audit log.

AI never bypasses business-critical review. Low-confidence work becomes a queue, not an invisible failure.

Artifacts we hand over

Prompt/tool spec, confidence thresholds, review queue, fallback process and evaluation set.

Operations control surface

Order-to-cash workflow

Healthy12:06
Live process rail3 exceptions watched
  1. 1Capture
  2. 2Validate
  3. 3Route
  4. 4Approve
  5. 5Report

Exception queue

Needs owner
  1. Credit hold requires approvalFinance
  2. Warehouse count mismatchOps
  3. Report refreshed from sourceAuto
340 hrs/mo removed 99.6% sync accuracy 0 silent failures
Concept UI: a controlled workflow surface for handoffs, exceptions, rules and reporting.

Delivery controls.

No lock-in

Business rules, APIs and deployment notes are documented in repositories the client owns.

Observable jobs

Background work has logs, retries, alerts and manual recovery paths.

Permission model

Roles and approvals are designed before sensitive workflows are automated.

FAQ.

How long does a first release take?

Most scoped first releases are planned in two-week cycles after discovery.

Can you work in our repository?

Yes. We can build inside your SDLC and hand over documented code.

What happens after launch?

Support, monitoring and handover are planned before launch, not bolted on after.

How do you avoid another black box?

Every system ships with diagrams, runbooks, ownership notes and deployment instructions.

Next step

Tell us what's slowing you down.

Send the bottleneck. We will reply within one business day with the clearest next step.