WARN_001
AI doesn't know your safety boundaries
Copilot will happily suggest interrupt handler code, register writes, and timing-critical sections — none of which it can reason about correctly. It doesn't know what it doesn't know.
// AI Adoption · Safety-Critical Systems
Your engineers want AI tools. Your compliance team wants to say no.
Seven A Embedded helps hardware and firmware teams adopt AI coding tools without breaking the safety boundaries, MISRA compliance, or certification requirements that keep your products in the field. 20+ years in safety-critical embedded systems — not a generic AI consultant who has never seen a register map.
$ run ai-readiness-check --target firmware-team scanning codebase... 47,832 lines MISRA C compliance: ⚠ 14 rules AI tools ignore Interrupt handlers: ✗ AI suggestions unsafe HAL abstractions: ✓ safe for generation Register-level ops: ✗ requires human review Test harness: ✓ AI assist recommended Documentation: ✓ high ROI target AI coverage ceiling: ~62% of codebase Risk without guidance: HIGH $ recommend action → engage safety-critical AI specialist → define safe/unsafe boundaries before rollout
20+
Years in safety-critical embedded systems
24/7
Safety-critical systems running in production
FAA
Ground-based aviation systems experience
0
Generic AI consultants with this background
// The problem
AI in safety-critical firmware is a different game
The tools your team is already pasting code into weren't built with your failure modes in mind.
WARN_002
Blanket bans create shadow usage
If you say no without a framework, your engineers use it anyway — just without oversight. The risk doesn't go away. It goes underground.
WARN_003
Generic AI consultants have never seen a DMA controller
Most AI adoption consultants come from SaaS and enterprise software. They can't tell you which parts of your RTOS codebase are safe to automate because they've never written one.
// What I do
Four ways to get AI into your firmware team — safely
From a one-time audit to ongoing advisory. Start wherever the risk is highest.
01/ Assessment
AI Readiness Audit
A structured review of your codebase, toolchain, and team workflows to define exactly where AI tools help and where they introduce risk. Delivered as an actionable report with safe/unsafe boundaries mapped.
- Codebase analysis — HAL, RTOS, BSP, application layers
- MISRA / safety standard intersection with AI behavior
- Tool-by-tool recommendation (Copilot, Claude Code, Cursor)
- Written policy your team can actually follow
02/ Workshop
AI Adoption Workshop for Embedded Teams
A half-day working session with your engineering team. Not a sales pitch for AI — an honest technical breakdown of what to use, what to avoid, and how to build the judgment to tell the difference.
- Live demos with real embedded C and RTOS code
- Prompt engineering for firmware context
- Where AI excels: docs, test scaffolding, refactoring
- Where to keep humans in the loop — always
03/ Implementation
AI-Assisted Firmware Documentation
Legacy codebases with missing or outdated documentation are a liability. We use AI tooling under careful supervision to generate accurate, structured documentation for your existing firmware.
- Doxygen + AI-generated inline documentation
- Architecture diagrams from source analysis
- Human review pass for every safety-critical module
- Delivered as versioned, maintainable docs
04/ Advisory
Embedded Systems Consulting
Traditional embedded and IoT consulting for architecture reviews, FAA/compliance guidance, IoT platform design, or a senior technical second opinion.
- STM32 / ARM Cortex-M, RTOS, Embedded Linux
- Azure IoT Hub, edge computing, k3s deployments
- FAA ground-based systems, AWOS, safety-critical IoT
- Feasibility reviews and architecture assessments
// Who you'd be working with
I've spent 20 years building safety-critical systems for FAA ground-based aviation infrastructure — the kind of systems where a firmware bug isn't a bad sprint, it's a navigation aid that fails when a pilot needs it. I've shipped IoT platforms into nationwide production and carried systems through FAA certification.
When AI coding tools started appearing in our toolchain, I watched two things happen at once: engineers got faster, and reviewers got nervous. The tools were genuinely useful for documentation and test scaffolding — and genuinely dangerous when pointed at an interrupt handler or a register-level driver. Nobody had drawn the line.
Seven A Embedded exists because the consultants showing up to talk about AI adoption come from SaaS and web. They've never debugged a DMA controller or read a MISRA deviation report. They can't tell you which 38% of your codebase a model has no business touching — because they've never written the other 62%.
I work with a small number of clients at a time, hands-on. You get someone who has actually shipped safety-critical firmware sitting down with your team to define what AI should and shouldn't do in your codebase — and leaving you with a policy you can defend to your compliance lead.
// Let's talk
Find out where AI is safe in your codebase
Start with a 30-minute discovery call. We'll talk through your stack, your compliance constraints, and where AI tooling can actually help your team — no obligation, no pitch deck.