Pillar 02

AI & Automation

LLM integration and workflow automation that removes manual work — chosen and implemented by the person who'll be accountable for it working.

Services
LLM Integration

Language-model features integrated into existing products, scoped to what actually improves the product.

Agentic AI Workflows

Multi-step, tool-using AI workflows for tasks that used to need a person watching every step.

RAG & Knowledge Systems

Retrieval-augmented systems that ground AI answers in a business's own documents and data.

Workflow Automation

Manual, repetitive processes automated end to end, from trigger to outcome.

Tools
OpenAILangChainLlamaIndexHugging FacePinecone / Vector DBs
Process
01

Assess

Where AI actually helps, and where it would just be for show.

02

Prototype

A working version, tested against real inputs, before committing to the full build.

03

Integrate

Built into the existing product or process, not bolted on as a separate tool.

04

Monitor

Ongoing checks on output quality and cost as usage grows.

Questions

Is this just a chatbot wrapper?

No — the work starts from what the workflow needs, and a language model is used where it's the right tool, not by default.

Can you work with our existing engineering team?

Yes — AI features are integrated into your codebase, not delivered as an isolated side project.

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