Service
AI & Workflow Automation
Business workflow automation — background jobs, event-driven processes and AI-assisted steps that remove repetitive manual work.
Most manual work in a business is the glue between systems: copying data, chasing approvals, categorising requests, generating documents. That glue can be software.
I automate workflows with reliable queues and jobs, and add AI where it genuinely helps — classification, extraction, drafting — with checks so automation stays trustworthy.
Typical use cases for AI & workflow automation
- Document generation and distribution
- Lead routing, enrichment and follow-up
- Scheduled reporting and reconciliation
- AI triage of emails, tickets or forms
What a AI & workflow automation engagement delivers
- 01Process map with automation candidates
- 02Job and event pipeline implementation
- 03AI-assisted steps with validation and fallbacks
- 04Monitoring, alerts and audit logs
How a AI & workflow automation engagement runs
01Understand
Who uses the system, what they need to do, what the current process looks like and what actually has to change.
02Architect
Data model, boundaries, integrations, where AI genuinely helps and where it doesn't — decided before code is written.
03Build
Backend, frontend and data layers built incrementally, with working software reviewed early rather than a big reveal at the end.
04Integrate
Payment providers, email, CRMs, model providers and internal services connected with clear contracts and error handling.
05Deploy
Containers, CI/CD, environments, backups and monitoring so the system is operable — not just running.
06Improve
Usage, performance and errors observed after launch and fed back into the next iteration.
Have a project in mind?
Tell me what you're trying to build. I'll come back with an honest view on scope, architecture and the right approach.