ServicesWorkflow automation · Document AI · LLM features
AI & automation
Automate the manual steps; add AI where it measurably helps.
Document processing, classification, assistants and workflow automation — built into your systems with evaluation, human review and audit trails, not bolted on as a demo.
What we deliver
- Use-case assessment and business case
- Production AI features with human-in-the-loop review
- Evaluation datasets and quality dashboards
- Cost, latency and accuracy monitoring
How we work
Three things we hold to on every ai & automation project.
Start from the process
We find the manual steps worth automating before choosing a model.
Measure before shipping
Evaluation sets from your own data define 'good enough' — and catch regressions.
Humans stay in charge
Confidence thresholds and review queues keep people in control of decisions that matter.
Tools we use
Python · LLM APIs · Document AI & OCR · Evaluation pipelines · pgvector · FastAPI
Related work
AI & automation in practice.
Questions
Will our data be used to train third-party models?
No. We use providers and settings that exclude your data from training, or host models privately where required.
How do you know the AI is accurate enough?
We build an evaluation set from your real cases and agree the accuracy threshold with you before launch.