Workflow automation that removes the manual steps
Workflow automation pipelines that classify, extract and route what your team handles by hand today: reports, documents, tickets, emails. Built with AI where it helps and plain deterministic logic where it is more reliable — measured by the hours it gives back.
Automation with AI is not about replacing whole jobs. It is about the repeating middle of a process: the document that arrives by email, gets read, its fields typed into a system, a follow-up triggered, a report assembled. That middle is where models are fast and consistent — and where we build.
We automate with n8n when it fits and custom pipelines when it matters, always with validation and a trace: extracted fields are checked before they enter a system, every run is logged, and failures route to a person instead of disappearing. The result is shorter cycle times, fewer errors and work that scales without headcount.
What is included
Document extraction
Key fields pulled from invoices, contracts, forms and emails — validated before anything enters a system.
Report generation
Recurring reports assembled from your data sources and routed automatically, on schedule.
Classification and routing
Emails, tickets and documents classified and sent to the right team or process without manual sorting.
n8n or custom
Standard tooling where it fits, custom code where it is more reliable — we recommend per case, not per preference.
Observable runs
Every run logged, failures escalated to a person, and success rates measured from day one.
How we work
- 1
Map the process
Where time goes today, where errors happen, which steps are pure repetition. We pick the best automation target.
- 2
Automate the middle
Extraction, validation and routing built and tested on your real documents and edge cases.
- 3
Run and measure
Rollout with monitoring and success metrics; the pipeline is maintained as formats and volumes change.
Frequently asked questions
Which processes can AI automate?
Document handling (extraction, validation, routing), recurring report generation, email and ticket triage, and data entry across systems. Good candidates are high-volume, rule-based steps with clear inputs and outputs.
What if the AI extracts something wrong?
Validation runs before anything enters your systems: field-level checks, cross-checks against known values, and confidence thresholds that route uncertain cases to a person. Automation fails loudly, not silently.
Do you build with n8n or custom code?
Both. n8n for standard integrations your team can maintain; custom pipelines where requirements outgrow it. The written proposal names the choice and why.
How fast can automation go live?
Simple automations run in weeks: a pilot on one document type or one report, measured against today's manual baseline, then rolled out to the rest.