Every AI challenge has a solution. Find yours. 70% of AI pilots never reach production — but they don't have to fail. Every engagement is built around the DEPLOY Method™: clear outcomes, production focus, capability transfer.
Define your AI vision, build executive alignment, and lead transformation
Drowning in vendor pitches. Analysis paralysis. No clear roadmap. I run a structured AI Strategy Sprint that cuts through the noise and gives you clarity in weeks, not months.
Your AI initiatives have no executive owner. Pilots stall. The board wants a strategy. You need a CAIO, CPO, or CTO who embeds in your team 2-3 days a week and drives AI from vision to production.
Your AI strategy exists on paper. But your people aren't aligned, there's no governance framework, no clear ownership of responsible AI, and cultural resistance is killing adoption before it starts.
Your board needs AI literacy and strategic oversight — but not a full-time executive. Quarterly briefings, competitive intelligence, and KPI dashboards that keep leadership informed and accountable.
Everyone says you need AI, but no one's assessed whether your data, processes, and team are actually ready. I run a structured readiness audit across 6 dimensions so you know exactly where you stand — and what to fix first.
Models are deployed with no oversight. Nobody knows who approved what. One incident away from regulatory trouble. I build governance frameworks that protect you without paralyzing innovation.
Vendor pitches all sound the same. You can't tell real capability from marketing. I evaluate AI vendors independently — scoring technical depth, deployment risk, and total cost of ownership before you commit.
The technology works. People don't use it. Adoption is below 20%. The problem isn't the AI — it's the change management. I design adoption programs that get real usage, not just training completion certificates.
Vision 2030 demands AI-driven transformation. SDAIA requirements are strict. Local content rules add complexity. I help organizations align AI strategy with Saudi regulatory requirements and national priorities.
From pilot to production-grade AI systems that deliver real business value
Started strong. Now stalled. No clear path to production. I come in as embedded AI leadership with one mandate: ship. 90 days to production or pivot.
Demo was great. Production is a disaster. Hallucinations, latency, costs. I build and fix production AI systems—RAG pipelines, fine-tuned models, inference infrastructure.
Everyone's talking about agents. Your board wants an 'agentic AI strategy.' I help you cut through the hype, identify real use cases, and build production agents safely.
AI tools promise 10x productivity. Most teams see 10%. I built Auralink—1.7M+ lines of production code—in 2 months. I teach teams the methodology that makes it work.
Generic LLMs don't know your domain, your vocabulary, or your edge cases. I design and execute supervised fine-tuning and RLHF pipelines — QLoRA, LoRA, DPO — that produce models that actually know your business.
Vendor lock-in to proprietary APIs is a strategic risk. I integrate Mistral, Llama, Qwen, and Phi models into your stack — inference servers, RAG pipelines, agents — at a fraction of the API cost.
AI that perceives, decides, and acts in the physical world requires a different engineering discipline. I design AI systems for robotics, computer vision, and sensor fusion — from edge inference to real-time control loops.
Latency, bandwidth, and offline requirements make cloud AI impractical for your use case. I select, optimize, and deploy small language models (SLMs) on edge hardware — NPUs, embedded systems, industrial controllers.
Protect your AI systems and use AI to strengthen your security operations
EU AI Act high-risk provisions are now in force. Compliant organizations are winning contracts by making compliance a commercial signal. I help you inventory systems, classify risks, build documentation, and turn governance maturity into a competitive advantage.
Your AI systems face unique threats—prompt injection, data poisoning, model theft. Traditional security doesn't cover these attack vectors. I help you secure your AI before attackers exploit it.
Security alerts pile up. Your team can't keep up. I help you modernize your SOC with AI-powered threat detection and connect you with proven MDR partners for 24/7 coverage.
NIS2 mandates security. AI introduces new attack surfaces. Neither your security team nor your AI team knows how to handle the overlap. I bridge both domains with a unified compliance framework.
GDPR, data sovereignty, air-gapped infrastructure — some data cannot leave your premises. I architect and deploy fully on-premise AI systems: LLM inference, vector stores, pipelines — no cloud dependency.
Transform physical operations and legacy systems with intelligent technology
Competitors are deploying digital twins, industrial copilots, and AI-driven production. You're still running on spreadsheets and tribal knowledge. The gap is widening every quarter.
Cloud AI is great for chatbots. But your robots, vehicles, and edge devices need AI that responds in milliseconds, runs offline, and never hallucinates. Different problem. Different solution.
Your competitors ship software updates weekly. You ship hardware once a year. They iterate based on data. You guess based on gut. The software-defined revolution already transformed tech—now it's coming for your industry.
Physical testing is slow, expensive, and risky. You need to simulate operations digitally before committing resources. I design digital twin architectures that let you test scenarios in hours, not months.
Renewables are unpredictable. Demand is volatile. Your grid management is still manual. I deploy AI that optimizes energy production, distribution, and consumption — with measurable cost and carbon impact.
De-risk AI investments and accelerate AI startups from idea to scale
Standard due diligence asks polite questions. Red Team DD actively tries to break AI claims—adversarial stress testing, architecture attack simulation, and scalability probes by someone who builds these systems.
The pitch says 'proprietary AI.' But is it a real moat or a €50M wrapper around OpenAI? Deep forensic analysis of architecture, IP, talent dependency, and replication cost.
Why work with a specialist AI consulting firm vs. Big 4, generalist consultancies, or freelancers.
| Criterion | Hyperion | Big 4 / Major Firm | Freelancer |
|---|---|---|---|
| AI specialisation | Core focus | Generalist | Varies |
| Time to first deliverable | 1–2 weeks | 4–8 weeks | 1–3 weeks |
| EU AI Act expertise | In-house specialists | Available (premium) | Rare |
| Embedded team model | Works in your stack | Advisory only | Yes |
| Outcome-based pricing | Available | Rare | Sometimes |
Book a 30-minute call. No pitch, no pressure—just an honest conversation about your situation and whether I can help.