AI agents that actually run your work.
LC Inc builds enterprise AI agents that work as a coordinated team — connected to your systems through MCP, scoped to each department, and governed by your rules.
One team of agents, not one chatbot.
Real work crosses tools and teams. We design agents that split the task, hand it off, and report back — with a person approving what matters.
Multi-agent orchestration
A lead agent plans and delegates to specialist agents running in parallel — for example Claude, Gemini and Codex — then merges and reviews the result.
Department-ready agents
Pre-scoped roles with their own instructions, data access and approval rules, so each team gets an agent that speaks its language.
MCP integrations
We build Model Context Protocol servers that give agents safe, auditable access to your internal systems and files.
An agent for every department.
Start with the team that feels the most friction, then expand. Every agent shares the same governance layer.
Manufacturing & quality
Document control, outsourcing and quantity management for factories.
Training & enablement
Learning material and onboarding assistants for your people.
Data & knowledge
Search and summarize across your internal documents and data.
Connect agents to the systems you already run.
Model Context Protocol is the open standard for giving AI tools and data. We design, build and maintain MCP servers around your stack.
- Custom MCP servers for ERP, document stores, databases and internal APIs
- Least-privilege scopes — agents only see what their role needs
- Every tool call logged for review and audit
- Works with the major AI models, so you are not locked in
From first workflow to daily use.
Discover
We map one workflow, its tools and its approval points.
Design
We define agent roles, permissions and the MCP connections needed.
Pilot
A small team runs it with a human approving each step.
Scale
We widen autonomy and add departments as trust builds.
Built for governance from day one.
Role-based access, approval gates and full activity logs are part of the design — not an add-on.
Tell us which workflow to automate first.
Share a short description and we will reply with how an agent team could handle it.