AI Integration

Work begins with discovery, mapping workflows, data structures, decision logic, and requirements before any model is chosen. Tooling is selected to fit, not the reverse, whether commercial or open-source LLMs (Claude, GPT, Llama), RAG over proprietary data, MCP integrations, or orchestration layers like n8n. Models connect to APIs, databases, and business rules, with governance built in from the start. Human review is retained on decisions affecting access and compliance, backed by audit trails and clear data boundaries. Deployments run cloud, on-prem, or hybrid. The result is an intelligence layer woven into your existing workflows, shaped around how your team already works.