Automation & AI
We automate the manual, repetitive parts of your operations — document processing, approvals, reporting — and integrate LLMs into existing software where they solve a real, specific problem.
Manually processing invoices, a document workflow still running on email and spreadsheets, or a genuine use case for an LLM inside software you already run — this pillar automates a named, specific process, not 'AI' for its own sake.
What this includes
- Invoice & document processing automation
Automating extraction, validation and routing for recurring document workflows.
- LLM integration into existing software
Adding a language model to an existing product or internal tool for a specific, defined task.
- Business process automation
Automating a named manual process end to end, from trigger to completion.
Reporting & notification automation
Scheduled reports and alerts generated automatically from your existing data.
How we work
Discovery & scoping
Scope document and estimate
Typically 3–5 working days
Architecture & design
Technical design doc or UI prototype
Typically 1–2 weeks, scope-dependent
Build in iterations
Working increments in a shared staging environment
Ongoing, reviewed every 1–2 weeks
QA, handover & launch
Test report, deployment runbook, documentation
Typically 1 week before go-live
Typical stack
- Node.js
- Python
- LLM APIs
- Zoho Deluge
- PostgreSQL
- Webhooks
What you get
- Automated version of the named process, measured against the manual baseline
- Documented failure and fallback handling, not a demo-only automation
- Integration with your existing systems of record
- Handover documentation