AGENTIC AI FOR HIGHLY REGULATED ENVIRONMENTS DOC: AB-HERO-01 · REV 0

Agentic AI:
Where Policy Meets Proof.

Hardened execution. Deterministic governance. Zero lock-in.

We deliver the hardened execution layers and deterministic governance frameworks that allow highly regulated enterprises to safely transition to an AI-First architecture — entirely within your private cloud, and free from vendor lock-in.

Request an Agentic Maturity Briefing → View Reference Architecture

01 · LEADERSHIP DOC: AB-LDR-01 · REV 0

Fredrik Hansen

CTO / CSO

27+ years IT & information security. Production AI systems since 2019. Compliance-as-code. Sectors: banking, financial services, defense, energy, government.

LDR-01

Andreas E. Jensen

CBO

20+ years B2B commercial leadership. Former CCO / Chief Client Officer at FNA — central banks, financial crime. GTM, alliances, enterprise sales.

LDR-02

02 · THE ENTERPRISE AI DILEMMA DOC: AB-PRB-01 · REV 0

Autonomous-agent velocity — without sacrificing data sovereignty, violating the EU AI Act, or letting unvetted code into production.

Engineering

Your engineering team is already deploying MCP servers and autonomous agents.

PRB-01-A

Executive

Your CTO is demanding digital business velocity.

PRB-01-B

Security

Your CISO is blocking execution due to zero regulatory oversight.

PRB-01-C

03 · TARGET OPERATING MODELS DOC: AB-TOM-01 · REV 0

Environments where policy, risk, and control are non-negotiable.

Manufacturing OT

Agents coexisting with PLC/SCADA stacks, ISO 62443 segmentation, deterministic change control.

TOM-01

Banking

Policy guardrails for trading, compliance, and KYC agents. Full auditability.

TOM-02

Defense

Air-gapped, zero-egress. Multi-agent with strict data classification enforcement.

TOM-03

Life Sciences

Clinical and lab ops with HIPAA, GDPR, and FDA-grade traceability in every decision loop.

TOM-04

04 · DELIVERY ENGINE DOC: AB-DLV-01 · REV 0

A linear path from scoping to continuous governance.

STEP 0

Free Agentic Scoping Session

We map your compliance exposure and outline a target operating model.

DLV-S0

PHASE 1

Maturity Mapping

Assess infrastructure, policies, and agent patterns. Output: AI maturity report.

DLV-P1

PHASE 2

Private-Cloud Integration

Hardened runtimes, policy guards, isolated execution — deployed into your environment.

DLV-P2

PHASE 3 · ONGOING

Continuous Governance

Ongoing retainer: audit, evolve, keep the ecosystem compliant as it scales.

DLV-P3

05 · REFERENCE ARCHITECTURE DOC: AB-ARC-01 · REV 0

What's inside your boundary — and what's guaranteed.

Your Security Boundary · Air-Gapped or Private Cloud

YOUR REQUIREMENTSinput

→

FACTORYplans · builds · tests · delivers

→

TESTED SOFTWARE + EVIDENCEoutput

MEMORYshared team knowledge

POLICY & AUDIT · EVERY ACTION CHECKED · EVERY DECISION LOGGED

Factory

Requirements in. Tested, production-grade software out. Every step traceable.

ARC-01

Memory

Institutional knowledge stays with the team. No re-explaining, no context loss.

ARC-02

Policy & Audit

Every action checked against your rules. Provable afterwards.

ARC-03

Nothing leaves your environment. No external calls. Offline or air-gapped.

06 · CODE PRODUCT LAYERS DOC: AB-BP-01 · REV 0

Each layer removes a specific enterprise risk.

Code Product / Layer	Enterprise Function	Compliance Alignment
Hardened Model Abstraction	Swap underlying models without breaking agent workflows.	Vendor Lock-In Mitigation
Isolated Execution Engine	Sandboxes all agent-generated code execution locally inside your private network.	DevSecOps / Zero-Trust Perimeter
Deterministic Policy Guard (Judgment)	Real-time verification of agent tool calls against strict corporate policy rules.	EU AI Act / ISO 42001 Verification

07 · REQUEST BRIEFING DOC: AB-BRF-01 · REV 0

AI-First without yielding control of your infrastructure. We'll tell you where you stand — and where you're exposed.

Agentic AI:Where Policy Meets Proof.

Agentic AI:
Where Policy Meets Proof.