Offers → Agents, MCP, And Connectors
Connect ugly real systems
to useful AI.
We build secure connectors, MCP servers, retrieval layers, and operator-facing admin surfaces that make existing systems usable inside modern AI workflows.
Agents that touch reality, not demo prompts.
Most organizations do not need another generic chatbot. They need a way to safely connect proprietary systems,
old databases, document stores, email flows, and internal workflows to useful AI behavior. Intelligrit builds the
glue layer: connectors, tool wrappers, retrieval systems, approval paths, and web admin surfaces that keep the
whole thing observable and controllable.
Secure Connectors And MCP Servers
Wrap the real system so modern AI tooling can use it without exposing more than it should.
- Legacy and proprietary system adapters
- MCP servers and tool registration layers
- Permission-aware reads and bounded writes
- Built for customer-controlled environments
Retrieval And Data Feeds
Move the right information into the right context so AI can answer or act with traceability.
- RAG pipelines, indexing, and citation layers
- Document ingestion, sync jobs, and data feeders
- Permission-aware retrieval and filtering
- Hybrid search over messy internal sources
Admin Surfaces And Approvals
Operators need control, visibility, and a way to intervene when the workflow matters.
- Prompt, tool, and configuration control planes
- Approval gates and human-in-the-loop queues
- Audit trails, action logs, and operator visibility
- Small internal web apps for safe operations
Production Delivery
We package the useful part, not the hype. It has to deploy, operate, and survive handoff.
- Low-drag deployment and maintainable runtime choices
- Security, accessibility, and documentation built in
- Customer environment and ATO boundary aware delivery
- Bounded scope that can ship while it still matters
How these engagements usually start
The common starting point is one painful system and one useful AI outcome: answer questions over the real data,
automate a constrained workflow, expose one proprietary tool to an agent, or add retrieval and approvals to an
existing process. If the system reality is unclear, we start with a paid discovery engagement and buy access to the truth.
From there, we define the smallest defensible slice, build it quickly, and leave behind software your team can run
instead of a fragile prototype that only worked in the demo.