When critical technology is stuck.
I take over high-stakes technology programs. Especially when legacy data, internal politics, and regulatory pressure have outgrown the original plan. AI is one tool; delivery is the mandate.
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Weekly Signals
These are the fields I work in and watch closely: AI and software, venture capital, defense, and finance. Twice a week I pick four reads that give a busy operator useful context they might otherwise miss.
4 readsAI & SoftwareVenture CapitalDefenseFinance
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TechCrunch AI & Software PublisherTechCrunch SubjectSynthetic / Khosla published Khosla Ventures invests $10M in Synthetic, an autonomous AI bookkeeping startup What it covers Khosla Ventures has committed $10 million to Synthetic, a new startup building a fully autonomous AI bookkeeping service targeted at other startups, founded by Ian Crosby, whose previous company Bench shut down abruptly. The investment signals continued VC appetite for AI-native replacements of professional services workflows in accounting. Read article
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a16z Venture Capital Publishera16z SubjectSalesforce published a16z: Is Software Losing Its Head? What it covers Seema Amble examines how headless software and AI agents change the role of systems of record. The article describes data models, permissions, workflow logic, compliance, proprietary data, and real-world execution as durable layers. Read VC note
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DefenseScoop Defense PublisherDefenseScoop SubjectMarine Corps published Marine Corps Integrating Robotics and Sensors into Reconnaissance Training Curriculum What it covers The Marine Corps is revising its reconnaissance training to incorporate robotics and sensor systems, with a senior general stating that reconnaissance doctrine can no longer be discussed without addressing these technologies. The service is working through open questions about how to embed autonomous and sensor capabilities into existing reconnaissance frameworks. Read defense report
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Finextra Finance PublisherFinextra SubjectFinancial IT published Fasset raises $51 million Series B for stablecoin-powered digital banking What it covers Fasset, a stablecoin-powered digital banking and investment platform, has closed a $51 million Series B funding round. The company operates at the intersection of stablecoin infrastructure and retail banking services. Read finance report
Last update: 2026-05-15 00:01 UTC / 2026-05-15 02:01 Berlin CEST Next source refresh: Monday 11:00 and Thursday 21:00 Berlin
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The Reality of Delivery
Large technology programs rarely fail because the strategy deck is weak. They fail when legacy data, vendor promises, internal politics, and regulatory exposure meet a deadline the organization can no longer move.
That is where I operate: after the easy answers are gone, before failure becomes the accepted outcome.
I bring Silicon Valley execution into traditional, high-consequence environments. Startup meets enterprise, without external consultants.
I take responsibility for the constraint, make the data usable, narrow the scope to the smallest live slice, and harden the system until executives, operators, and control functions can rely on it. AI matters when it helps the work ship.
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How I Work
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Diagnose the constraint.
Start with data quality, availability, permissions, and the rulebook before choosing a model.
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Ship the controlled slice.
Put the smallest useful system into production fast enough for reality to test it.
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Harden for operation.
Make it robust enough for users, audit, compliance, and the next organizational change.
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Proof of Work
Production-grade AI where data is messy and compliance is non-negotiable — without consultants.
Banking: regulated cutovers in hours.
- Context
- Tier-1 banking. Partial S/4HANA cutovers usually mean weeks of systems-integrator work across legacy data, approvals, and change windows.
- Execution
- Built autonomous agents that compose and check migration logic end-to-end. Live in production. Cutovers in hours, not weeks, with no external consultants in the loop. Eliminating hundreds of consultant hours.
Machine Tools: reliable answers from legacy data.
- Context
- €200M machine-tool manufacturer. Decades of maintenance records and machine telemetry were trapped in formats neither technicians nor downstream systems could reliably use.
- Execution
- Built the AI & Innovation function from zero. Converted fragmented machine data into a searchable operating surface for service teams. First-time-right answers in seconds; customer and employee satisfaction rose together.
Defense: resilient communication under constraint.
- Context
- European defense. Highly-available, cryptographically resilient data communication under classified-grade constraints and non-negotiable integrity requirements.
- Execution
- Drove joint research mandates with TU München and ETH Zürich. Specifications translated operational, availability, and integrity thresholds into work engineers could build against.
Deep-Tech: patented emotion-recognition IP.
- Context
- Co-founded Going Ninja, a deep-tech company built around patented emotion-recognition technology. From patent to global market standard.
- Execution
- Y Combinator S18 alum. Raised $80M in venture capital. Exit and integration to Volkswagen delivered without losing the product core.
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Contact
Reach me directly for a strictly confidential exchange about your current constraints. Whether it's a failing delivery or a critical data mandate - let's evaluate if I can take it over.