Deploying compliance-grade AI agents through MCP
B2B
Agent builder
Regulatory & manufacturing
Clarifeye builds compliance-grade AI agents for regulated, high-stakes workflows but needed a scalable way to distribute them into customers’ existing AI copilots without rebuilding custom frontends. By using MCP with Alpic’s deployment infrastructure, Clarifeye can deliver secure, explainable, and auditable agents directly into enterprise environments while staying focused on compliance intelligence rather than distribution.
Clarifeye’s approach
Clarifeye develops enterprise agents that handle multi-step, high-stakes processes such as regulatory checks, safety assessments, and audit traceability. Their workloads typically involve:
Aggregating data from multiple systems
Synthesizing and calculating compliance indicators
Maintaining document-level traceability
The agents are used to validate cosmetic ingredients against evolving safety regulations, aggregate manufacturing inspection data for quality conformity, and generate verifiable audit trails for safety certifications.
Each enterprise deployment is highly customized to the client’s internal processes and data infrastructure. As a result, Clarifeye emphasizes explainability, auditability, and governance, all critical in regulated environments.
The challenge
While Clarifeye’s agents perform complex reasoning, distributing them to enterprise users is difficult. Most customers are already standardized on collaboration tools or copilots (e.g., Microsoft 365, Claude, or ChatGPT). Rebuilding bespoke frontends for each environment is costly and slows adoption.
Clarifeye’s experiments with “Clarifeye inside” on Claude demonstrated potential but also revealed user experience constraints: repetitive tool confirmation prompts and limited multi-step workflow execution. A robust distribution layer was needed, and exposing their services directly via MCP was the most viable long-term solution.
Why MCP
MCP has become the shared protocol layer across major AI ecosystems. As enterprises converge on AI copilots, the competitive advantage lies not in building new frontends, but in delivering robust, explainable backends that can plug into those ecosystems. For Clarifeye, using MCP ensures their agents can integrate seamlessly into environments where customers already work, without sacrificing compliance visibility or audit control.
The role of Alpic
Alpic provides the infrastructure layer for MCP, enabling any MCP server or agent backend to be deployed, scaled, and monitored in production.
For Clarifeye, Alpic offers:
MCP--native hosting to deliver their compliance agents directly into customers’ preferred frontends.
Secure, isolated environments for regulated data handling.
Reusable infrastructure to standardize distribution and avoid maintaining one-off integrations.
By eliminating the complexity of deploying a custom MCP server for each of Clarifeye's clients, Alpic allows the company to focus on what they do best: building precise, traceable agents.
For us, it’s natural to work with Alpic. They already have the infrastructure, the expertise, and the reliability we need. That lets us focus entirely on the compliance intelligence layer.