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SERVICE 04
AI & Multi-Agent Solutions
Custom agents and AI features that survive contact with production.
From a single AI feature to a full multi-agent system: assistants grounded in your data, agents that operate your tools, RAG search, and workflow automation. Built with the guardrails we run in production today — token budgets, safety preambles, evals, cost ceilings — on Gemini, Claude, and OpenAI.
Scope
- Multi-agent architecture: orchestration, tool use, and MCP integrations wired into your systems
- Assistants and copilots grounded in your documents and databases (RAG)
- AI feature design: where a model genuinely earns its keep — and where it doesn't
- Guardrails: prompt safety, rate limiting, evaluation harnesses, cost ceilings
Deliverables
- A working AI capability with measured quality, latency, and cost
- Safety and abuse controls fit for real users
- Runbooks for prompts, models, and budget tuning
Engagement model
Prototype sprint first — prove the value on your data before committing to a full build.
Sounds like your project?
Describe it in a work request — we reply with substance, not a funnel.
Start a work request