AI Automation for Repetitive Business Processes
If a person copies information between systems, reads documents to fill fields, or sorts requests by hand, there is a good chance it can be automated reliably.
The problem
Repetitive work eats hours of skilled people's time and is where errors creep in.
Traditional automation breaks as soon as inputs are messy — free-text emails, PDFs, voice notes.
The approach
LLMs handle the unstructured part; ordinary code handles the rules, integrations and audit trail.
Low-confidence cases go to a review queue instead of silently failing.
What we build
- Document processing
- Extract structured data from PDFs, invoices and forms.
- Inbox and request triage
- Classify, route and draft replies for incoming requests.
- Webhook-driven pipelines
- Event-based automations between your SaaS tools.
- Scheduled reporting
- Jobs that gather data and write the summary for you.
Use cases
- Invoice and receipt extraction
- Support ticket routing
- Lead enrichment and follow-up
- Weekly operations summaries
Typical architecture
Trigger (email, webhook, schedule)
Queue
AI extraction / classification
Validation rules
Review queue for exceptions
Target system
Technology
- Python / FastAPI
- Laravel + Horizon
- Redis
- PostgreSQL
- Webhooks
- LLM APIs
Related work
Process
- 01
Understand
Understand the business problem and the outcome you need.
- 02
Architect
Choose the AI architecture, integrations and technical approach.
- 03
Prototype
Validate the critical workflow before building around it.
- 04
Build
Develop the product in milestones you can review.
- 05
Validate
Test quality, performance, reliability and edge cases.
- 06
Launch
Deploy the production system and monitor it.
- 07
Improve
Optimise using real usage and feedback.
Questions
What if the AI gets it wrong?
Each automation includes validation and a confidence threshold. Anything uncertain goes to a person to approve.
Can you connect to our existing tools?
If the tool has an API or webhooks, usually yes.
Further reading
Tell us what you want to build.
Send a short brief. We'll reply personally with questions or a suggested next step — usually a technical discovery call.