AI automation and LLM integration
We connect large language models and automation to your real workflows — document extraction, assistants grounded in your own data, and event-driven pipelines that remove repetitive manual work — with human review where accuracy matters.
AI automation we deliver
Best for: operations, support and back-office teams handling repetitive documents or requests.
Document extraction
Pull structured data from invoices, forms, reports and emails into your systems automatically.
Support assistants
Assistants that answer customer or staff questions from your own documents, with sources.
Sales & operations copilots
Draft replies, summarise calls and prepare reports inside the tools your team already uses.
Workflow automation
Event-driven pipelines that route, classify and process requests without manual copying.
Search over your knowledge
Semantic search across policies, manuals and past tickets using vector search.
AI features in your product
Add summarisation, classification or chat to your SaaS or web application.
Everything you need to launch
Delivered end to end by senior engineers, with weekly demos and written updates. You own the code once the project is paid in full.
- Use-case assessment and ROI estimate
- LLM integration (OpenAI, Claude, Gemini or open models)
- Retrieval over your data with vector search
- Document and email processing pipelines
- Human-in-the-loop review screens
- Evaluation, logging and cost monitoring
- Data privacy and access controls
- Documentation and team handover
From first call to launch
- 01
Assess
Pick one workflow with clear, measurable value and check the data it needs.
- 02
Prototype
A working prototype on your real documents, measured for accuracy.
- 03
Productionise
Integration with your systems, review screens, monitoring and cost controls.
- 04
Expand
Roll out to more workflows once the first one is proven in production.
Tools we use
Mature, well-supported technology your team can hire for and maintain. See our full technology stack.
- Python
- FastAPI
- OpenAI API
- Claude API
- pgvector
- PostgreSQL
- Redis
- Kafka
- AWS
Typical timeline
| Focused first version | 5–7 weeks |
|---|---|
| Growth-scale platform | 7–10 weeks |
| Enterprise scale | 9–13 weeks |
Starting ranges; your exact plan depends on scope and integrations. Try the project estimator or read how pricing works.
Frequently asked questions
Is our data safe when using AI models?
We use enterprise API terms where providers do not train on your data, restrict what is sent to the model, and keep documents in your own infrastructure. For sensitive data we can use self-hosted open models.
How accurate is AI document extraction?
It depends on document quality and variety. We measure accuracy on your real documents during the prototype, and add human review for low-confidence results so errors are caught before they reach your systems.
Which AI models do you work with?
Hosted models such as OpenAI GPT, Anthropic Claude and Google Gemini through their APIs, and open models when data must stay on your servers. We choose based on accuracy, cost and privacy requirements.
Where should a small business start with AI automation?
Start with one repetitive, document-heavy task where time spent is easy to measure — such as processing invoices or answering common questions — prove it works, then expand.
Often combined with
Custom SaaS Development
SaaS product development from MVP to scale: multi-tenant architecture, subscription billing, dashboards and APIs. Senior engineers; you own the code.
Learn more →High-Performance Web Apps
Custom web application development: customer portals, booking systems, dashboards and internal tools — fast, accessible and built on React, Next.js and Node.js.
Learn more →Legacy Modernization
Modernise legacy PHP, .NET or desktop systems in stages — stabilise, migrate data and move to a modern cloud architecture without a risky big-bang rewrite.
Learn more →Planning a ai & automation project?
Tell us what you're building. An engineer replies within 24 hours with questions and a time to talk.