Most companies are investing in AI. Few have the operating system to make it work.
OKRs are not a nice-to-have alongside AI. They are the operating system that makes AI work. Every AI initiative needs an objective (what are we trying to achieve?), a key result (how do we know it worked?), an owner (who is accountable?), and a cadence (when do we check?).
Without this, AI is a cost line. With it, AI is a measurable investment.
The AI Execution Sprint is a 2-week programme that implements the OKRs and execution system your organisation needs to make digital transition work in practice.
2500€+VAT | Only 6 spots available for April.
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What happens when AI meets broken execution
95% of generative AI projects do not reach production (MIT).
$547B of $684B in AI investment was wasted, the execution gap is the reason (BCG).
The CEO sets AI as a priority, the leadership team nods, then each function goes back to its floor and defines its own version of what "implementing AI" means.
Sales invests in pipeline automation. Ops pilots process tools. HR starts exploring workforce platforms. Product accelerates features. Every initiative makes sense in isolation. None of them are connected. None of them are measured against the same objectives.
This is an architecture problem. There are no OKRs defining what each function needs to deliver for the AI transition, no measurable key results tied to the P&L, no weekly cadence to track what is working and what is not.
Without OKRs implemented in practice, with specific objectives per function, owners, measurable key results, and a weekly operating rhythm, the AI transition has no direction. AI meets broken execution.
Each team spends. Nobody measures. And after one quarter, the board asks what AI delivered, and the only honest answer is: activity.
OKRs are not a nice-to-have alongside AI. They are the operating system that makes AI work.
What we see happen — quarter by quarter
The pattern is always the same. AI without OKRs means investment without direction. The next quarter will only be different if the execution system is in place before the AI initiatives start.
Only 6 spots for April — Reserve my spotWhat is Execution Shift?
Two weeks.
Your leadership team.
OKRs built specifically for the AI transition.
A complete execution system ready to operate.
We sit with your leadership team and implement the execution system that connects AI to real results, function by function, tied to your P&L, with owners and weekly measurement from day one.
After 20+ years of doing this, we know where OKRs break. They break when objectives are too generic ("improve AI adoption"). They break when key results measure activity instead of outcomes. They break when there is no owner or when the owner has no authority. They break when the weekly cadence does not survive the first month. We build OKRs that do not break because we have fixed every version of this failure.
At the end of 2 weeks, your organisation has:
* Q2 OKRs per function — HR has objectives and key results for workforce adaptation. Ops has prioritised which processes to automate and how to measure impact. Sales has revenue OKRs aligned cross-functionally. Strategy has capacity-protected roadmap execution. Each one is tied to the P&L with a defined owner.
* A single-page Execution Map — your CEO's AI vision translated into weekly activities, cross-functional dependencies mapped, decision rights defined, escalation paths clear.
* A recommendation — continue with the Execution Shift (12 weeks) for full implementation, or run the system internally with what we built.
What is different after 2 weeks
- Before the Sprint, the AI transition lives in the CEO's or leader's head and in disconnected initiatives across functions. After the Sprint, every function has OKRs that answer four questions: what is the objective for this function's role in the AI transition? What are the measurable key results? Who owns it? And what does progress look like every week?
- Before the Sprint, HR does not know what "workforce adaptation" means in measurable terms. After the Sprint, HR has OKRs for skills development, retention during transition, and role evolution with metrics the CEO and CFO understand and review weekly.
- Before the Sprint, Ops automates whatever seems urgent. After the Sprint, processes are prioritised by P&L impact, with SLAs between functions and weekly measurement of whether automation is delivering results or just consuming budget.
- Before the Sprint, Sales runs AI tools in the pipeline with no alignment to Product or CS. After the Sprint, revenue OKRs connect every function Sales depends on, so AI-generated leads do not die in internal handoff failures.
- Before the Sprint, the board gets activity reports. After the Sprint, the board gets Key Results tied to the P&L, measurable evidence that the AI transition is delivering or specific data on where it is stalled and why.
Why we built this and why now
In the last 18 months, many conversations with a include the same question: how do I implement AI across the organisation?
The answer is the same answer it has always been for any strategic priority: you need OKRs that give direction, key results that measure impact, owners who are accountable, and a weekly cadence that makes problems visible before they become expensive.
AI consultancies implement technology. They do not build execution systems. OKR consultants teach frameworks. They do not connect OKRs to AI transitions.
SV is the only firm that does both, because after 50+ implementations, we know that one does not work without the other.
We built the AI Execution Sprint as a 2-week entry point: enough time to implement real OKRs with a real team, short enough to prove value before a larger commitment. If you move to the Execution Shift (12 weeks), the Sprint investment is fully credited. If you do not, you keep the OKRs, the Execution Map, and the system.
Companies with properly implemented OKRs see 60% more revenue growth and are 39% more likely to achieve their goals. The question is not whether OKRs work. The question is whether they are implemented properly. That is what SV does.
How it Works?
One full day on-site or two half-days remote. We start with the execution diagnostic: where are decisions stalling? Where do cross-functional handoffs fail? Which functions have no measurable objectives for the AI transition? Then we build Q2 OKRs with your leadership team.
Not generic objectives, specific OKRs per function: what does HR need to deliver for workforce adaptation? What does Ops need to measure in process automation? What does Sales need from Product to make AI in the pipeline work? Each OKR is tied to the P&L, has a defined owner, and includes weekly measurement.
Output: Execution diagnostic + AI transition OKRs built and assigned per function.
We design the operating system that connects everything: a single-page Execution Map showing how OKRs link across functions, the weekly cadence structure, decision rights (who can approve, escalate, or block), cross-functional dependencies for AI initiatives, and escalation paths. Presented to the full leadership team with a clear recommendation.
Output: Execution Map + weekly cadence + recommendation (continue with SV or run internally).
How each function leads the AI transition
For CEOs and Managing Directors
We have worked with CEOs who spent 6 months pushing AI as a priority and still could not answer "what has it delivered?" The Sprint changes that. Your vision cascades into every function with OKRs that are specific, measurable, and reviewed weekly. You see on a single page what is advancing and what is stalled. When the board asks, you have Key Results — not slides.
For People / HR Leaders
AI will reshape roles. Without OKRs for the transition, HR reacts instead of leading — fielding anxiety, managing exits, improvising reskilling. We build People OKRs for workforce adaptation: specific targets for skills development, measurable retention metrics during transition, role evolution plans with timelines. HR becomes the function that leads the transition, with data the CFO respects.
For Operations Leaders
Every department wants to automate something. Without OKRs, Ops becomes the team that says yes to everything and measures nothing. We prioritise which processes to automate based on P&L impact, map the handoffs between functions that automation will affect, and build operational OKRs with weekly measurement. Ops stops firefighting and becomes the execution backbone.
For Sales / Revenue Leaders
AI can fill the pipeline. It cannot close deals if Product does not deliver, Ops cannot fulfil, and CS is not prepared. We build revenue OKRs that connect Sales to every function it depends on — with measurable handoff SLAs and weekly tracking. Forecast credibility becomes a system.
For Strategy / Product Leaders
The AI roadmap dies between the deck and Monday morning when nobody protects capacity or tracks dependencies. We translate strategy into executable OKRs with decision rights, capacity allocation, and weekly measurement. The roadmap becomes operational.
What the Sprint is built on
OKRs are the operating system for AI
Every AI tool needs an objective behind it. Every pilot needs measurable key results. Every initiative needs an owner with authority and a weekly cadence to track progress. This is not project management — it is execution architecture. Without it, AI investment has no direction and no accountability. With it, every euro spent on AI can be traced to a measurable outcome.
Implementation, not advice
We do not deliver a template and leave. We sit with your team, build the OKRs in the real context of your organisation, assign owners, define key results that are actually measurable, and set up the cadence. By Monday, the system runs. This is what 20+ years and 50+ implementations look like — we have built this before, in organisations like yours, and we know where it fails if it is not done right.
Controlled investment, clear path forward
Fixed fee. Two weeks. Defined scope. If you continue to the Execution Shift, the Sprint investment is fully credited. If you do not, you keep everything we built. Either way, your organisation has more clarity in 14 days than most achieve in 6 months of planning.
What others get wrong
They install AI tools and leave. Six months later, the tools exist and nobody can prove they delivered value. There are no objectives, no key results, no weekly tracking. The technology works fine. The execution system was never built.
They run a two-day workshop. The team writes OKRs on a whiteboard. By week three, nobody uses them — because OKRs written in a workshop are not the same as OKRs implemented in the daily rhythm of an organisation. Implementation requires assigning real owners, defining key results that survive contact with reality, and building a cadence that holds when priorities compete.
It looks simple. It is not. After 50+ implementations, we know exactly where internal OKR efforts fail: objectives are too vague, key results measure activity instead of outcomes, the weekly cadence collapses under operational pressure, and cross-functional OKRs have no real owner. The AI transition exposes every one of these failures, faster and more expensively.
Only companies that implement OKRs in practice — with real direction, real measurement, and real accountability across every function — will execute the AI transition successfully. The AI Execution Sprint is the first step.
Trusted by leadership teams building real operating systems.
For more than 20 years, CEOs and Enterprise Leaders have trusted us to implement execution systems that survive leadership changes, market cycles and rapid growth — long after we step out. Here are some of their testimonials.
Why us?
Unlike coaches or consultants, we act as your Execution Partner.
For over 20 years, we’ve helped CEOs and Enterprise Leaders implement the systems that create clarity, discipline, and predictable execution.
Our team has scaled companies, executed these frameworks, and operated inside real leadership teams.
- No workshops that evaporate after a few weeks;
- No generic templates;
- No theoretical coaching;
- No dependency on a single advisor;
- No planning sessions without follow-through.
We don’t run workshops and leave. We work inside your execution — designing your operating system, aligning your leaders, and building the rhythms that make strategy happen every single week.
You’re not hiring a coach — you’re gaining an operating team with proven experience.
For more than 20 years, CEOs and Enterprise Leaders have trusted us to implement execution systems that survive leadership changes, market cycles and growth phases.
The AI transition will define the next decade. The organisations that execute it with direction, measurement, and accountability will lead. The rest will spend more, take longer, and fall behind.
Investment: €2,500. Fixed fee. Credited in full if you continue to the Execution Shift.
Only 6 spots available for April.