Everyone has adopted.
Almost no one is winning.
of AI projects fail to deliver any measurable business value because of misaligned purpose and lack of clear definition up-front.
>> RAND Corporation, 2025is the average direct budget burned on a single failed pilot before reaching production.
>> Applied R&D Waste IndexOnly 21% of mid-market executives see clear, measurable ROI from their deployed systems. The issue isn't the AI; it's buying tools instead of building integrated workflows.
>> Deloitte, 2026of mid-market AI projects are abandoned mid-build due to inadequate, un-reconciled data foundations across legacy CRM and ERP platforms.
>> Gartner, 2026You are not behind. You are simply running the wrong playbook. The problem isn't the AI models; it's the organization trying to absorb them.
The AI Integration Workshop
A 4-Hour Anti-Failure Engine for Your Executive Team.
A highly structured, fast-paced, remote-first session designed to veto unbuildable ideas, isolate your most valuable unused data, and spec out 2 to 3 launch-ready pilots with fixed 90-day caps.
Company-wide friction survey
A 5-minute survey maps adoption, AI fluency, biggest issues, and organisational readiness — so the session starts calibrated, not cold.
Hands-on. Not a lecture.
Your executive team works through divergent brainstorming and execution planning — on a live board, not slides. Remote-first, fast-paced.
Blueprint + leadership debrief
Your AI Integration Blueprint lands within a week — closed out with a 1-hour leadership debrief and alignment session.
Inside the 4 hours BOOT_SEQ_INIT
7 PHASES · ZERO THEORY-ONLY BLOCKSA tightly sequenced working session — each phase produces an artifact the next one builds on.
A look inside the working board
REAL EXERCISES · NOT A MOCKUPEvery idea your team generates gets built, sorted, challenged, and scored on a shared board — in the room, by your people. A sample of what you'll actually do:
The PRIME Filter
We score every potential AI idea across Process stability, Resource availability, Impact multiplier, Manual toil reduction, and Expansion potential.
The 5-Question CTO Veto
We force sponsors to define Scope, Data density, Measurement metrics, Liability Risk, and named executive Sponsorship — before writing a single line of code.
The 4 V's & Data Gravity Audit
We audit where your data actually lives (Volume, Velocity, Variety, Veracity) to stop the GIGO (Garbage In, Garbage Out) Loop. We reconcile the 3 to 5 core databases that actually run your business.
Forensic Pre-Mortems
We write the failure story of your pilots in the past tense before spending your budget, building systemic tripwires directly into the roadmap.
"AI is not just ChatGPT."
We break down the 5 distinct AI capability families — and show you why mid-market profitability almost always lives in Analytical and Predictive models, not expensive LLM wrappers.
The AI Integration BlueprintTHE CROWN JEWEL
Your actionable strategy, delivered within one week of the workshop — and closed out with a 1-hour leadership debrief and alignment session. Board-ready, budget-capped, owner-named.
› The AI Integration Strategy — how your data & architecture must evolve
› The Consolidated Day — Opportunity Wall, Readiness Audit, Pre-Mortems with tripwires
› The 12-month roadmap — connecting pilots to a scaling strategy
Fractional CTO & Specialist Advisory
Bridging the gap between corporate vision and software physics.
- 01 /Architectural Guardrails
Ensuring compliance with GDPR, the EU AI Act, and ISO clinical/security standards.
- 02 /Model-First vs. Platform-First Decisions
Determining where to use lightweight open-source models vs. expensive foundational APIs.
- 03 /Innovation Risk Mitigation
Managing your deep-tech R&D from initial concept to high-scale production, avoiding sandbox stagnation.
Sapiema Custom Build
We don't just write strategy. We ship production-grade code.
- 01 /Custom Pipeline Engineering
Designing custom analytical, predictive, optimization, and agentic AI models.
- 02 /Database Array & MLOps Infrastructure
Constructing robust, secure data lakes and MLOps platforms with 99.9% uptime.
- 03 /System Integration
Integrating custom models seamlessly into your existing ERP, CRM, or legacy software stack without operational downtime.
Designed by an Engineer,
Not a Consultant.
I spent my career designing and scaling global infrastructure for systems handling millions of operations per second. I don't sell slides; I build software physics.
- AmazonSoftware Development Engineer
Re-architected AWS media content-moderation systems, boosting automation to 80% while handling millions of requests per day at millisecond latency.
- X / TwitterAds Experience Engineer
Designed ad-creator tools that increased advertiser platform engagement by over 30%.
- Sorcova HealthFractional CTO
Scaled a distributed preventive health system from a basic telemedicine prototype to a robust, compliant platform, closing a €1M corporate contract over 4 years.
- SportTotal.tvSenior AI Engineer
Trained computer-vision systems deployed across hundreds of physical sports fields to automatically track play and stream live sports.
- Research & AcademiaMINDS Research Group · rasdaman
Developed Recurrent Neural Network configurations and optimized array databases for satellite deployment.
I'd rather tell you to skip it
than sell you the wrong thing.
✕ This is NOT for you if:
- You want basic technical training (prompt engineering, standard API wrappers).
- You expect AI to fix undefined internal process chaos.
- You just want a slide-deck to tick a board-member's AI box.
- Your company has no product-market fit or data volume to mine.
✓ This IS for you if:
- You have real operations, real data, and real friction to solve.
- Your budget is flowing, but your measurable results aren't.
- You want brutal engineering truth, not a fancy vendor pitch.
- You are ready to assign named owners, set strict 30/60/90 gates, and kill weak projects.