Make every AI decision defensible.

Northgale is AI-native compliance infrastructure: an explainability and audit layer that turns any AI recommendation into regulator-ready evidence — the reasoning, the confidence, the risks, and the next action, captured at the moment of the decision. See it live in Aegis, our compliance system for Medicare insurance agents.

Before NorthgaleLow trust

Black-box AI output

AI rank: #1 priority account. Suggested sequence: executive email + product security proof points.

Northgale adds the why
With Northgale

Explainable decision card

87%

Prioritize Northstar Logistics for enterprise outreach this week.

Ranked first because three buying signals overlap: budget timing, repeated security-review language, and an executive mandate around AI governance.

Budget window is open
Security review is likely
Reps need explainable account scores
Watch: no confirmed technical buyer yet.
Next action: send a VP-level note focused on trust in AI scoring.
Compliance infrastructure, powered by Norma

The platform, and proof it works.

Northgale is an explainability-and-audit layer any product can embed to make its AI decisions defensible. Aegis is that engine shipped as a finished product — compliance infrastructure for Medicare insurance agents — so you can see it working in the hardest regulatory environment in insurance before you build on the API.

Platform · API

Norma

Drop an API between your AI models and your users. Every recommendation comes back with a plain-language rationale, an evidence trail, a confidence score, risk flags, and a recommended next action — and an immutable audit trail mapped to EU AI Act, CFPB, EEOC, and NIST. Build your compliance record at the moment of the decision, not under audit.

/explainEvidence trailConfidence scoringRisk flagsAudit exportCompliance-ready
Product · Live

Aegis

Compliance infrastructure for Medicare insurance agents. Every client file gets a live CMS-Compliance-Defense Score — SOA, call recording, disclosures, certifications — with a gap list and the exact next action, every card backed by the same evidence-and-confidence engine. You build the audit trail at the moment of sale, not under a CMS audit.

CMS-Compliance-Defense

Margaret Ellis · MA-PD enrollment

78%

Audit-ready: Scope of Appointment signed and dated, call recording linked with 10-yr retention, TPMO disclaimer captured. Carrier cert current for the enrolled plan.

Risk flag: permission-to-contact not on file for the follow-up call.
Next action: capture and save PTC before the next outreach to close the gap.
Inside Aegis

Norma: Explainability in action.

Aegis isn't a tech demo — it's a working product agents run their book on. Each capability is powered by the Northgale explainability engine, so every insight comes with its reasoning attached.

AI insights on your whole book

Ask whether your client base is growing, how many renewals are coming, and — reading your own notes — which clients look ready for a new or additional policy. Every answer cites the note it came from.

Calendar & email sync

Connect Google or Microsoft and your appointments, calls, and renewal dates flow straight into each client's timeline — matched automatically by attendee email, so the file stays current on its own.

CMS-Compliance-Defense scoring

A 0–100% score grades how audit-ready each client file is under CMS rules — Scope of Appointment, call recording, disclosures, permission-to-contact, and cert currency — with a specific list of what's missing and the exact next action to close the gap, before it becomes a compliance finding.

From output to explanation in one layer.

Northgale sits between your AI system and your users, turning recommendations into evidence-backed decision cards — and an audit trail your compliance team, and your regulator, can actually read.

Explain the recommendation

Convert opaque AI outputs into plain-language explanations that show why a decision was made, what signals mattered, and how confident the system is.

Show the evidence trail

Surface the source notes, CRM records, transcripts, policies, or documents behind each recommendation so users can verify before they act.

Capture risk and audit context

Expose what could be wrong, log the reasoning trail, and give teams the context they need for reviews, approvals, and governance.

Transparent Pricing

Pay-as-you-go base + metered, designed for B2B AI software

Starter

$0
/mo + $0.03/req
Recommended

Pro

$40
/mo + $0.02/req

Ultra

$99
/mo + $0.02/req

Enterprise

$2,500
/mo + $0.01/req