Security & Compliance
Most AI tools bolt compliance on at the end. MESa's architecture reflects the regulatory reality of insurance and wealth advice from the first design decision — because in this industry, data handling isn't a feature request. It's the price of admission.
Data Governance
Sensitive client and prospect data is handled through compliance-aware routing consistent with BCFSA expectations — with locally-hosted models used for personally identifiable information rather than general-purpose cloud AI.
Personally identifiable information is processed on locally-hosted or data-resident infrastructure — never shipped to general-purpose cloud AI.
The platform was built inside a BCFSA-regulated MGA. Regulatory expectations shaped the architecture, not the marketing.
Each request is classified before processing. Sensitive data takes the local path; non-sensitive workloads can leverage frontier models.
Agent behaviours and outputs are designed around the compliance obligations MGAs actually carry — reducing exposure instead of creating it.
Why It Matters
MGAs and advisors are actively searching for AI tools, but face two bad options: generic horizontal software with no domain fluency, or unregulated tools that create compliance exposure. MESa exists because neither is acceptable.
Seriously — we'd prefer it. Our data-handling story is a feature, not a footnote.
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