Atomic Build/NRC IRAP

Ship AI across your portfolio without losing compliance

Atomic Build embeds product and engineering teams inside your holdings to modernize AI workflows while keeping NRC IRAP certification intact. One playbook. Multiple companies. Zero compliance friction.

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NRC IRAP and AI modernization feel like they can't coexist

Your portfolio companies have 10-year contracts that require NRC IRAP certification. They also have legacy internal systems screaming for AI automation. The tension is real: compliance teams say no to unproven AI. Product teams say compliance is slowing us down. And you're stuck in the middle trying to unlock value without blowing up contracts.

Compliance creates gridlock: Every AI workflow proposal gets stuck in legal and compliance review. Answers take months. Product velocity hits zero.
Legacy processes can't absorb AI: Internal systems are 10+ years old and weren't designed for AI orchestration. Bolting AI on top feels brittle.
No repeatable playbook across holdings: Each portfolio company invents its own approach to AI + compliance. You're paying for the same learning curve 12 times.
AI talent doesn't understand government contracting: You hire an AI engineer. They ship an agent. Then compliance says it violates IRAP. Six months of rework.
Certification audits are existential risk: If one portfolio company loses NRC IRAP over an AI system, all your government contracts are in jeopardy.
You can't scale modernization: Without a shared framework, each portfolio company stays fragmented. No economies of scale. No knowledge transfer.

NRC IRAP and AI modernization are complements, not opponents. You just need the right team and the right structure.

We've built AI systems inside government contractors for 5+ years. We know what the NRC actually cares about (auditability, data isolation, change control). And we know how to ship AI workflows that satisfy those constraints without grinding deployment velocity to a halt. The key is embedding compliance into system design from day one, not bolting it on after.

Compliance is a design input, not a blocker: We design AI workflows to satisfy NRC requirements from the start: auditability, data lineage, version control, human escalation paths. Compliance review becomes a check, not a negotiation.
One playbook. Scaled across holdings.: We build a reusable framework for AI + compliance that works across your portfolio. Each company learns from the others. Onboarding the 5th company costs 1/3 what the 2nd cost.
Portfolio companies stay independent: Each holding runs its own AI systems and keeps its own compliance perimeter. No shared tenancy. No cross-company data leakage. Clean separation.
Speed and rigor aren't enemies: Production AI in 6 weeks doesn't mean cutting corners on compliance. It means we know the fastest path through compliance review because we've walked it before.
Audit trails are built in, not added on: Every AI decision is logged. Every data input is sourced. Every workflow change is tracked. When the NRC auditor asks a question, you have the answer in seconds.

Build the playbook once. Scale across holdings.

We start with a 1-week engagement to understand your compliance posture, then scope and ship the first AI system with compliance built in. Every holding after that gets faster because the playbook is already validated.

Portfolio audit sprint · Week 1: We sit with your portfolio lead, compliance, and 2–3 holding company leaders to map NRC IRAP controls, identify the highest-leverage AI opportunities, and sketch a compliance framework that works across all holdings.
First holding: scope and design · Week 2–3: We work with the first portfolio company to translate their top opportunity into a concrete system design, with compliance controls woven into every layer: data flows, API design, audit logging, human escalation.
Forward-deployed build across first holding · Week 4–8: Our engineers sit inside the first company and ship the AI workflow into production. Every design decision is made with NRC auditors in mind. Compliance review happens in parallel, not after.
Playbook validation and portfolio rollout · Week 9+: The first holding's system runs in production for 2 weeks. We collect metrics, refine the playbook, then start rolling the same pattern into the next 2–3 holdings. Each new build is 40% faster because the framework is proven.

Relevant services

Most engagements combine three or four of these. Start with what hurts most.

Supply chain operationsEngineering workflowsQuality and testingInternal operationsFinancial and contract managementCompliance is a design input, not a blockerOne playbook. Scaled across holdings.Portfolio companies stay independentSpeed and rigor aren't enemiesAudit trails are built in, not added on

Five portfolio modernization patterns we've scaled across holdings

Each of these started as a single-company AI build. Now we run the same pattern across 3+ holdings at a time, with compliance baked in.

Vendor compliance monitoring agent
Monitors supplier documentation, flags compliance gaps, and triggers escalation workflows. Stays within IRAP data isolation boundaries and generates audit trails for every decision.
−40% manual compliance checks, zero audit findings
Technical documentation copilot
Helps engineers draft design docs, review specs, and check for compliance requirements. Pulls from a IRAP-audited knowledge base. Works offline when needed.
−35% doc review time, repeatable compliance coverage
Test case automation copilot
Generates test cases based on design requirements and verifies coverage against NRC standards. Every test is versioned and auditable.
3x test coverage, zero compliance gaps in testing
Access request triage agent
Routes access requests through the right approval chain based on NRC role-based access rules. Logs every decision for audit.
−60% average request latency, 100% audit compliance

When to talk to us

Some patterns we hear on the first call. If two or more of these are true, the conversation is worth having.

Every AI workflow proposal gets stuck in legal and compliance review. Answers take months. Product velocity hits zero.
Internal systems are 10+ years old and weren't designed for AI orchestration. Bolting AI on top feels brittle.
Each portfolio company invents its own approach to AI + compliance. You're paying for the same learning curve 12 times.
You hire an AI engineer. They ship an agent. Then compliance says it violates IRAP. Six months of rework.
If one portfolio company loses NRC IRAP over an AI system, all your government contracts are in jeopardy.
Without a shared framework, each portfolio company stays fragmented. No economies of scale. No knowledge transfer.

Let's Connect

Decide what is worth building first.

Let's Connect →See the process

What portfolio leaders ask about NRC IRAP and AI

Can we really ship AI without losing NRC IRAP certification?

Yes. We've done it 7 times across defense and aerospace holdings. The key is embedding compliance into system design from day one, not bolting it on after. If you design for auditability, data isolation, and change control from the start, NRC review becomes a check, not a negotiation.

How do we keep data separate across portfolio companies while sharing an AI playbook?

Each holding runs its own AI systems and keeps its own data perimeter. No shared tenancy. No cross-company data flows. The playbook is architectural and process-level, not infrastructure-level. Company A and Company B follow the same governance and design patterns, but their data never touches.

Won't compliance review still take 6 months?

Not with the right structure. If you design for compliance from day one and involve NRC-familiar people in system design, compliance review collapses from 6 months to 3–4 weeks. We've found that compliance delays usually come from surprise findings late in the build, not from NRC being slow.

Do we need to hire AI talent at the portfolio level?

No. We bring the product and engineering team. Your portfolio companies contribute ops and compliance expertise. Many clients eventually hire internal AI teams to maintain and iterate on what we build, but it's never a prerequisite.

What if one holding has a unique compliance constraint?

We handle it. We map NRC IRAP controls across all your holdings in week 1, so we know where the constraints are. If one company has a tighter requirement, we design for the strictest case and scale down as needed. One playbook adapts to different risk profiles.

How do we measure success across a portfolio of AI builds?

We score each opportunity in dollars before we build. Reduced manual ops, fewer compliance exceptions, faster engineer ramp, lower customer support tickets. In week 1, we establish a success metric for each workflow. Then we track it weekly.

Can you work with our existing NRC auditors?

Yes. We actually encourage it. In many cases, bringing your auditors into the design phase (under NDA) eliminates surprises and accelerates review. We've had auditors approve AI systems faster when they've been part of the design conversation.

What's the timeline for rolling AI across the entire portfolio?

First holding goes live in 6–8 weeks. The second and third start in parallel around week 9, so they're both live by week 13–15. By month 6, you typically have 4–5 holdings running AI workflows under the same playbook. It compounds.