AI Agent & Workflow Automation
Autonomous agents that take actions across your CRM, ERP, and internal tools — automating multi-step workflows, not just answering questions.
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What we offer
Services built for the AI era
We build custom AI systems, LLM-powered products, and the operational layer that keeps them running. From integration to fine-tuning to production optimisation — we take you from problem to working system.
Our two service tiers
Flagship AI Builds
We architect and build production-ready AI systems — from autonomous agents to knowledge assistants to LLM-powered applications.
3 services →
Specialised LLM Engineering
We fine-tune, integrate, evaluate, and optimise LLM systems so they perform reliably and cost-effectively at scale.
5 services →
Flagship AI Builds
Production-grade AI systems, built and shipped.
Custom LLM Application Development
LLM-powered features and products built into your software — internal assistants, AI-augmented SaaS features, and domain-specific copilots.
02
RAG & Enterprise Knowledge Systems
Turn your documents, wikis, and support data into a queryable knowledge layer your team can actually talk to.
03
Specialised LLM Engineering
Deeper technical services that make AI systems accurate, reliable, and affordable.
LLM Fine-Tuning
Custom-trained models for your domain — higher accuracy, brand-consistent output, and lower runtime cost than frontier APIs.
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LLM Cost Optimisation
Cut your LLM bill by 40–70% through prompt engineering, model right-sizing, caching, and workflow redesign — without sacrificing quality.
02
AI Evaluation, Observability & LLMOps
Production monitoring, drift detection, and evaluation frameworks so your AI systems keep performing after launch.
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LLM Integration & API Layer Development
Clean integration of OpenAI, Anthropic, or open-source models into your existing stack — model selection, prompt architecture, and safety layers.
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MCP & Agent Infrastructure
Custom MCP servers and multi-agent orchestration — future-proofing your AI stack against vendor lock-in.
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How we work
A structured path from idea to production
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Stage 01
Discovery Sprint
2 weeks
We map your use case, technical constraints, and success criteria — then recommend the right approach.
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Stage 02
Prototype
4–6 weeks
We build a working proof of concept so you can validate the approach before committing to full delivery.
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Stage 03
Full Build & Deployment
3–6 months
We deliver, integrate, and deploy the production system — with monitoring and support handover.
Let's talk
Have a project in mind?
Reach out to discuss your AI development needs. We respond within one business day.
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