A two-day immersive where your C-suite builds real AI with their own hands around one of your actual workflows, using representative or sanitised data, so your strategy is grounded in experience, not slideware.
It is the decisions your leadership team makes for the next five years.
Then reality arrives. The data is not ready. The "quick win" had a compliance problem no one flagged. The use case was harder than it looked. Adoption stalls, because no one designed for it.
The gap is not ambition. It is that the people making the biggest AI decisions have no first-hand feel for what AI actually does, where it is trivially easy, and where it quietly breaks.
You cannot strategise well about something you have never touched.
Hands on the tools within 90 minutes. Every executive builds a working agent around a real workflow using representative or sanitised data. The barrier to entry is lower than they think.
It hallucinates. It cannot reach a system. It leaks. This is deliberate: the wall is where "simple" and "hard" become real, not a slogan on a slide.
The complete five-part C-Sprint sequence is preserved and compressed into two tightly facilitated days.
Move from first-hand experience to a shortlist that can survive contact with your systems, data, and economics.
No theory. Within 90 minutes each person builds a working agent around a real workflow using representative or sanitised data. Then they hit the limits, deliberately. The "oh, that is it?" followed by the "ah, that is why it is hard."
Map real workflows. Score candidates on value, feasibility, data-readiness and risk, calibrated by practical intuition, not sticky-note guesswork. Then prototype the shortlist. Nothing kills a bad use case faster than trying to build it.
Build vs. buy. Model choice. Data, RAG, orchestration, where agents fit. Every technical fork translated into cost, lock-in, speed and control, so you can commission it and hold vendors and teams accountable.
Turn the lessons from the build into guardrails, an operating model, and a first move the leadership team owns.
We red-team the systems your team just built, showing exactly how AI leaks, fails, and gets manipulated. Then the remedy: governance, data handling, human-in-the-loop, monitoring, and the EU AI Act. Guardrails as part of the build, not an afterthought.
Synthesise it all: prioritised roadmap, operating model, capability and hiring needs, governance, owners, budget, and a 90-day first move with the first production pilot. Plus the part everyone forgets: adoption and change, where ROI actually lives or dies.
To protect the depth of the five-part content in two days, we collect one priority workflow, a representative or sanitised data sample, the current tool landscape, and one decision each participant needs the sprint to unlock.
The C-Sprint is designed around something consultants often miss: leadership needs enough practical understanding to make better decisions.
Every exercise uses one of your own business problems, not a canned example.
You leave with at least one working prototype using one of your actual workflows and representative or sanitised data.
The sprint ends with a prioritised 90-day implementation plan, including owners, budget, and the first production pilot, not just a strategy deck.
Built with frontira, the system handles tens of thousands of guest inquiries with AI-assisted routing, replies, and data extraction. It is the kind of operating experience we bring into the C-Sprint.
The business strategy, the process and system design, and the actual engineering: we bring that practical experience into the room.
That is the difference between being told what AI can do and being shown, with your own hands on the keyboard and people who have shipped it standing next to you.
Award-winning systems in daily operation across tourism, construction, media and the public sector. Proof that ships, wins, and keeps running.
The short answers. Joanna can help with the specifics of your team, data, and decision.
Yes. Focused pre-work lets us preserve the complete five-part sequence while using the room for building, pressure-testing, governance, and decisions.
The leadership team plus the senior business, operations, data, or technology stakeholders who will shape and own the first move.
No. The build is guided and starts from real work problems. The aim is practical decision confidence, not turning executives into engineers.
One priority workflow, a representative or sanitised data sample, the current tool landscape, and one decision the sprint needs to unlock.
We agree the working setup before the sprint and can use sanitised or synthetic data where appropriate. Data handling, human review, monitoring, and the EU AI Act are part of the build.
No pitch deck, no pressure. Joanna will help you work out whether a two-day C-Sprint fits the decision your leadership team needs to make.