Unlock the Pilot

Unlocked Consulting

Unlock the Pilot is about what happens after the AI demo works: the data nobody cleaned, the permissions nobody mapped, and the person who has to run it on a Tuesday morning. From Unlocked Consulting, a senior-led AI practice in Munich working across Europe and the US, drawing on systems in production and on published research. Pilots that stall, foundations, the EU AI Act in engineering terms, the real cost of an AI project. For the people at 20-to-500-person companies who have to make it work, and for the CIOs, CTOs and heads of AI who need evidence for their own board or stage.

  1. 1d ago

    The Visual Platform Tax

    A content pipeline built on Make.com and Google Sheets took about nine months to get working. The happy path came together in a few weeks; the rest went to rate limits, silent node failures and retry logic expressed as more nodes. The rewrite in actual code took six weeks. This episode is about where that gap comes from, and why it shows up at company scale too. What you'll hear: Why first-build speed is the one measure every visual platform wins, and the wrong oneHow debugging in a canvas fails to amortize: knowledge doesn't carry from one connector to the nextThe bridge pattern of calling old flows as API endpoints, and why those endpoints never get revisitedWhy nine months of visual work was the specification that made a six-week rewrite possibleA one-day test: have an engineer code your three ugliest flows before you commit a year Full article → https://unlockedconsulting.ai/blog/visual-platform-tax-no-code-automation-cost

    The Visual Platform Tax

  2. Oct 10

    Europe cares most about AI sovereignty and depends on it least

    A renewal questionnaire came back with a question nobody on the project had seen before: in which jurisdiction is the model executed, and who operates the hardware it runs on. Tracing the answer took the better part of a week, through one vendor to another company that actually ran the model, on hardware in a region picked eighteen months earlier for latency reasons and never written down. Part of the final answer was "we believe so." What you'll hear: Why sovereignty is now a text box on a vendor form, propagated downward through customer contractsDeloitte finds 32% of EMEA companies rely mainly on foreign AI stacks, against 11% in the AmericasWhy German boards treat this as an evidentiary problem, not a policy debateThe three answers per system that make the questionnaire survivable, and which one always stallsWhat a 300-client Access migration teaches about separating what you depend on from who runs it Full article → https://unlockedconsulting.ai/blog/europe-ai-sovereignty-dependence-gap

    Europe cares most about AI sovereignty and depends on it least

  3. Oct 10

    Your AI programme looks better from where you are sitting

    Nobody in a room of two hundred people at an AI summit raised a hand when asked who had the authority to stop an AI system they oversee — not flag a concern, stop it. Every one of those organizations would tick yes on a survey about human oversight. The documentation exists, someone is named in it, and the answer in the room was still no. What you'll hear: Why directors and the wider workforce described the same companies 35 points apart in the same weekHow Deloitte's own respondents reported confidence in governing AI and broken operating models in consecutive answersCloudera's split: 85% say the data strategy is defined, 18% say the data is fully governedSixteen experienced developers measured a 19% slowdown after estimating a 20% speedup — having just done the workThe comparison almost nobody runs: seats assigned against seats with activity in the last thirty days We end with one thing to do before the next round of AI spend: find out which instrument produced the case for the last one, then follow a single real request end to end with timestamps. Full article → https://unlockedconsulting.ai/blog/your-ai-programme-looks-better-from-where-you-are-sitting

    Your AI programme looks better from where you are sitting

  4. Oct 10

    Everyone Measures AI Usage. 70% Can't Measure What It Returned

    Anthropic surveyed 132 of its own engineers on Claude Code. Merged pull requests per day rose 67 percent, daily use climbed from 28 to 59 percent, and people reported productivity gains of 20 to 50 percent. Then someone looked at the delivery dashboard and nothing had moved. That gap is what this episode is about, and McKinsey's finding that only 30 percent of leaders can say where the freed-up time actually went says it is not one company's problem. What you'll hear: Why adoption and token spend are both costs, and neither answers the ROI questionHow "two hours saved per person" becomes dollars only if a budget line actually dropsWhy dollarizing a three-week calendar span invents labor hours nobody workedThe METR study: a measured 19 percent slowdown against a self-reported 20 percent gainTwo mechanisms that produce real money, and the different bridge each one needs Full article → https://unlockedconsulting.ai/blog/everyone-measures-ai-usage-70-can-t-measure-what-it-returned

    Everyone Measures AI Usage. 70% Can't Measure What It Returned

  5. Oct 10

    Vibe Coding Won't Kill Developers. It'll Kill the Middle

    Cheap cameras didn't end professional photography. They hollowed out its middle: the small weddings, the headshots, the real estate listings. The same compression is working through software work right now, and the comfortable line — you were never paid to type, you were paid to think — only answers half of it. What you will hear: Why AI commoditizes a segment of software work rather than developers as a classThe junior-to-mid tier lived on implementation against a known spec, which models now do cheaplyWhy "the middle learns to think better" confirms the argument instead of refuting itThe capacity problem: the high end is narrow by definition and can't absorb everyoneWhere the photography comparison breaks, because software demand has grown for forty years We also get into what this means if you run a technical team: architecture, security, performance, and deep domain knowledge are exits from the middle, and senior-led work gets stronger as the middle thins. The closing exercise is simple. Look at the last five things your team shipped and count how many were implementation against a spec someone else wrote. Full article → https://unlockedconsulting.ai/blog/vibe-coding-wont-kill-developers-it-will-kill-the-middle

    Vibe Coding Won't Kill Developers. It'll Kill the Middle

  6. Oct 2

    Three studies measured agentic AI adoption. They got 23%, 59% and 20%.

    Article: https://unlockedconsulting.ai/blog/three-studies-agentic-ai-adoption-different-numbers An internal slide carried one number, 59% of companies using agentic AI, and a bullet underneath saying we were behind. Two other studies from the same year said 23% and 20%. Nothing dramatic happened to the market between the fieldwork dates. Each of them counted a different thing. What the episode covers: What each figure actually counted: any use of an AI agent, at least one agentic use case in production, and autonomous systems running at scale against a metric someone instrumentsOne internal system that was inside the count by the first definition and nowhere near it by the thirdAutonomy as a continuous variable sold as a binary, and three systems under the same label that break differently, cost differently and wake different people upThe most useful comparison sitting inside one study: 59% with agents against 9% whose workflows run unattendedThe count that matters instead: how many workflows ran end to end last month with nobody approving a step, and someone acting on the result For operations leaders and founders at 20-to-500-person companies, and for the CIOs, CTOs and heads of AI who need evidence for their own board or stage. #AgenticAI #AIAdoption #EnterpriseAI

    Three studies measured agentic AI adoption. They got 23%, 59% and 20%.

  7. Oct 2

    The hours AI saved you have nowhere to go

    Article: https://unlockedconsulting.ai/blog/hours-ai-saved-have-nowhere-to-go A manager built something with AI in an afternoon and handed the branch to engineering. It sat for months with nobody obstructing it, because review capacity had not changed and neither had the queue in front of it. AI accelerates the step in front of the person using it, and every step behind that person stays exactly as slow as it was. What the episode covers: AI spend up 110% in a single year while the share reporting integrated workflows across functions fell from 30% to 16%, the one integration figure in this year's research with a previous year to compare against22,000 developers instrumented rather than surveyed: 34% more tasks finished, each one waiting 441% longer for review, and no change in how fast anything reached usersWhy tightening review is the wrong response when review was never the step that changedWhat happens to saved hours when nobody names a destination, and the 61% of 11,749 employees with limited or no guidance on what to do with themThree moves: decide where the hours go before buying, delete a handoff instead of speeding one up, and make each item cheaper to review For operations leaders and founders at 20-to-500-person companies, and for the CIOs, CTOs and heads of AI who need evidence for their own board or stage. #AIAdoption #DeveloperProductivity #EnterpriseAI

    The hours AI saved you have nowhere to go

  8. Oct 2

    Adoption Is a Latency Problem: The Zero-Backlog Policy

    Article: https://unlockedconsulting.ai/blog/adoption-is-a-latency-problem-zero-backlog-policy The most common artifact of an enterprise AI rollout is a dead feedback channel. It opens in week one, collects suggestions for a month, and goes quiet by the third, because nothing anyone said ever came back as a release. Buy-in decays at the speed of your release cycle, and a suggestion sitting in a quarterly backlog proves the opposite of what the channel promised. What the episode covers: The zero-backlog policy as a promise to users: your suggestion ships within a day or two, or you hear the same day why it will notPutting the users on stage at company meetings instead of the project team, and why a testimonial and a pitch are distinguishable from the back of the roomOne business metric tracked from day one, finished videos per week, chosen because the business already watched it before the project existedAudit and traceability built into the first increment, so the governed path was never the slower one and nobody experienced it as a gateThe taper: why zero backlog is a launch regime with a defined end, and what happens if you relax it before the ownership question is settled For operations leaders and founders at 20-to-500-person companies, and for the CIOs, CTOs and heads of AI who need evidence for their own board or stage. #AIAdoption #ChangeManagement #EnterpriseAI

    Adoption Is a Latency Problem: The Zero-Backlog Policy
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About

Unlock the Pilot is about what happens after the AI demo works: the data nobody cleaned, the permissions nobody mapped, and the person who has to run it on a Tuesday morning. From Unlocked Consulting, a senior-led AI practice in Munich working across Europe and the US, drawing on systems in production and on published research. Pilots that stall, foundations, the EU AI Act in engineering terms, the real cost of an AI project. For the people at 20-to-500-person companies who have to make it work, and for the CIOs, CTOs and heads of AI who need evidence for their own board or stage.

Information

  • Creator
    Unlocked Consulting
  • Years Active
    2026
  • Episodes
    18
  • Rating
    Clean
  • Copyright
    © Unlocked Consulting
  • Show Website
    Unlock the Pilot