We build LLM integrations, autonomous agents, and automation that runs on your infrastructure — or on-premises with no cloud dependency. Every project starts with a real use case, not a sales pitch.
A structured half-day workshop with your team. We identify automation and AI opportunities across your operations, prioritise by ROI and implementation effort, and deliver a written roadmap within 48 hours. Most clients use it as the spec for their first project.
From automating a single workflow to deploying a multi-agent system — we scope to what your business actually needs right now, not to the largest possible project.
We build n8n flows that eliminate repetitive business processes: CRM updates, document routing, invoice processing, order management, and cross-system data sync. Deployed on your own server, no SaaS dependency.
We integrate large language models into your existing systems — not as a chatbot bolted onto a website, but as a functional component that processes your real documents, data, and workflows.
Purpose-built autonomous agents that triage, schedule, draft, and execute within defined boundaries — without constant supervision. We design the agent goals, memory, toolset, and governance rules together with you.
Search your internal documents, procedures, contracts, and knowledge bases with accurate, cited answers. We build the vector store, retrieval pipeline, and LLM layer — all running on your own infrastructure.
For businesses that handle sensitive data — legal, medical, financial, internal IP — a local LLM stack eliminates cloud privacy risk entirely. We install, tune, and maintain the full inference stack: model selection, hardware planning, Open WebUI or custom interface, API integration.
A practical, hype-free guide on the three AI applications working in SMB production today — document processing, workflow automation, and internal knowledge search — plus a plain take on privacy and local LLMs.
We scope before we build. Every engagement starts with a clear brief, not an open-ended sprint.
If the opportunity is unclear, we run the AI Audit first — half a day of structured discovery that produces a ranked roadmap with effort estimates.
We write a 1-page project brief: what it does, what it connects to, success criteria, timeline, and price. You approve before we write any code.
We build to spec, test with real data, and evaluate accuracy before delivery. No shipping until it meets the success criteria we agreed on.
Full documentation and knowledge transfer at delivery. Optional monthly retainer for monitoring, model updates, and incremental improvement.
Tell us what you want to automate or what problem you're trying to solve. If the right starting point is an AI Audit, we'll say so — and we'll tell you why.
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