Invoice and document processing
Read incoming invoices or forms, extract the fields, check them against orders or records and send exceptions to a person.
Capability
Take the repetition out of the process.
We automate the steps your team repeats every day, using AI where judgment is needed and ordinary code where it is not, with approvals and logs at every stage.
Overview
Automation that fits the work, not the demo.
Most workflows are a mix of clear rules and quiet judgment: read the form, check the number, decide whether this one is unusual, route it onward. Automating only the easy parts leaves the hard work in place. Automating everything with a model adds risk where a rule would do. The answer is usually a careful mix, not a single tool.
We separate the two. Deterministic steps become code, judgment steps become model calls with guardrails, and a person approves anything that carries real consequence. The whole flow is logged, so you can see what happened and why. Because each step declares its own behavior, the flow stays understandable to the people who depend on it.
Rules stay rules
Anything that can be decided with plain logic stays in code, where behavior is predictable, testable and cheap to run.
AI where judgment helps
Classification, extraction and drafting go to a model, with prompts and examples tuned to your actual documents.
Approvals where needed
Sensitive steps pause for a person, with the context they need to decide in one place.
Clear failure paths
When a step fails, the workflow says so, retries safely and routes the item to someone who can fix it.
Connected to your systems
Triggers and actions across your CRM, help desk, accounting tools and databases, through APIs and webhooks.
Visible from end to end
Each run is logged with inputs, decisions and outcomes, so problems are found by looking rather than guessing.
Use cases
Processes that respond well
Look for work that is frequent, documented and currently passed between people by hand.
Lead routing and enrichment
Qualify new leads from their details, enrich them from your systems and route them to the right person with a summary.
Ticket triage
Classify incoming requests, set priority, suggest an owner and pull the related history into one view for the agent.
Reporting and follow-up
Assemble recurring reports from several sources and send the follow-ups that usually get forgotten when the week gets busy.
How we work
How an automated workflow takes shape.
Discover
We follow the process from end to end, note where it stalls and agree which steps are worth automating first.
Design
We map each step to a rule, a model call or a human decision, and define what happens when something goes wrong.
Build
We build and connect the steps, run them against real historical cases and fix what the test runs expose.
Support
We watch the first live runs closely, then monitor volume, failures and exceptions as the workflow settles in.
FAQ
Common questions.
Do we have to replace our current tools?
No. The workflow connects to the systems you already use through their APIs, so the tools stay and the manual steps between them go.
What if the AI gets a step wrong?
Steps that carry risk have a check or a human approval. Failures are logged and routed, not silently accepted.
Can we start with one process?
Yes, and we recommend it. One well-chosen process proves the approach and gives you something to measure before expanding.
How do you decide what to automate?
We look at volume, rules and cost of error. High-volume, rule-heavy work usually pays back first.
Next step
Start the conversation
Which process is costing your team the most time?
Describe it in a few sentences and we will tell you which parts can be automated, and which parts should stay with people.