The Model Context Protocol (MCP) is the missing layer between AI models and enterprise tools. We design, build, and govern AI agent programs that connect to your real systems — ERP, CRM, databases, documents — and do actual work, not just generate text.
Talk to an ExpertAI models are powerful but isolated. They don't know what's in your ERP, your CRM, your data warehouse, or your documents unless someone manually pastes it in. MCP creates a standardized, secure channel that lets AI agents read from and act on your live enterprise systems — without screen-scraping or brittle integrations.
Before MCP, every AI-to-system integration was a custom build. With MCP, any tool that exposes an MCP server can be connected to any MCP-compatible AI agent. SAP, Salesforce, Snowflake, SharePoint, custom databases — one integration pattern, not twelve different point solutions.
A traditional chatbot answers. An MCP-connected agent acts. It can query your ERP for inventory, check your CRM for the account status, pull the latest report from your data warehouse, and draft a response — in a single, audited workflow. The difference is operational, not cosmetic.
MCP was built with enterprise constraints in mind: tool-level permissions, request/response audit trails, and the ability to scope exactly what each agent can and cannot access. It is not a consumer shortcut bolted onto enterprise systems — it is a protocol designed for the security and compliance requirements your organization actually has.
An agent connected to your ERP, production systems, and data warehouse that answers operational questions in natural language — inventory levels, production status, supplier performance, cost variances — without requiring anyone to build a new dashboard or write a SQL query. The operations team gets answers in seconds, not reports in days.
For PE firms and corporate development teams: an agent connected to your deal documents, CRM, financial models, and market data that surfaces relevant precedents, flags risks, and synthesizes diligence materials on demand. Reduces analyst time on rote synthesis by 60–80% without replacing judgment.
An agent that monitors your operational data against regulatory thresholds, checks new transactions or contracts against compliance rules, and surfaces exceptions before they become incidents. Connected to your document management system, ERP, and regulatory reference databases via MCP.
For industrial and manufacturing companies: an agent connected to your asset management system, maintenance logs, sensor data, and technical documentation. Answers questions like "what failed last time this alarm triggered," "which maintenance window fits this repair," or "what does the manual say about this fault code" — in context, instantly.
We identify the 3–5 highest-value agent use cases for your organization based on where your team spends time on rote synthesis, where decisions are slowed by data retrieval, and where errors have the highest cost. ROI is estimated before any build begins.
We design and build the MCP servers that expose your enterprise systems to AI agents — scoped precisely to what each agent needs, with authentication, rate limiting, and audit logging built in. Your IT team retains full control of what is exposed.
For complex workflows that require multiple agents working in sequence or in parallel, we design the orchestration layer — which agent handles which task, how handoffs work, and how errors and exceptions are managed. Built on proven frameworks, not bespoke code.
AI agents that work in demos and fail in production are worse than no agents at all. We build evaluation frameworks using tools like Braintrust and Weights & Biases to measure agent accuracy, latency, and failure modes before and after deployment — continuously.
Every agent deployment includes a governance framework: permission scoping, action logging, human-in-the-loop checkpoints for high-stakes actions, rollback procedures, and a model for ongoing oversight. Designed to satisfy your CISO, legal team, and board.
Agents degrade as data, systems, and requirements change. We provide ongoing monitoring, retraining triggers, and system updates to keep your agents performing — and a clear escalation path when something unexpected happens in production.
Least-privilege MCP tool scoping — agents can only access and act on exactly what they need for their defined task, nothing more
Human-in-the-loop checkpoints for irreversible actions — agents propose, humans approve before any write, delete, or send operation above a defined risk threshold
Full audit trail of every tool call, every data access, and every action taken — so compliance, legal, and security always have a complete record
Automatic circuit-breakers — agents that produce anomalous outputs, fail repeatedly, or hit error thresholds are suspended automatically until reviewed
We start with a focused assessment of where agent automation delivers the fastest ROI in your organization — and scope a program that your IT, legal, and operations teams can all stand behind.
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