JANUARY 2027: "Innovation Architecture: Designing Human-AI Collaboration"-

"Innovation Architecture: Designing Human-AI Collaboration"- an online workshop for leaders and innovators who want to beat the get new things done success odds.

 Ninety-eight percent of innovation attempts fail. AI hasn't changed that statistic, and the reason is simple: AI can't handle anthropological complexity, counter-intuitive logic, or causality — all three of which are required for innovation success. Meanwhile, humans can't process scenarios at the scale and speed that AI can. The failure rate persists because people are using AI wrong, applying it to the wrong parts of the innovation journey instead of creating synergy where human and machine capabilities are genuinely complementary. This workshop teaches you how to navigate an idea from initial concept to commercial breakthrough by understanding where humans must lead, where AI must lead, and how to architect the transitions between them. You'll learn the System Readiness Level framework – a 0-to-10 scale that maps the key step-changes required to move an idea forward – and how to apply the right combination of human judgment and AI capability at each stage.

The core challenge: By the time you've sketched an idea on a napkin, you've spent nothing,  but you've already committed 70% of the eventual budget. This creates a contradiction: innovators face pressure to move fast ("don't just stand there, do something") while simultaneously needing to stand still long enough to understand what actually matters ("don't just do something, stand there"). Resolving that contradiction requires knowing what to measure at each stage, how to manage unknowns including the critical unknown unknowns, how to focus on barriers that will kill the project, and how to create enough easy wins to maintain momentum without losing sight of what's hard.

What you'll learn:

- The System Readiness Level framework: how ideas progress from concept to commercial success through distinct stage-changes, each requiring different metrics, contradiction types, mentors, AI agent types, and team dynamics

- Where AI belongs in the innovation journey and where it doesn't: mapping human and machine capabilities to each readiness level

- How to navigate the spend/commitment hysteresis curve: making better decisions early when they still matter

- Managing unknowns: using AI to surface unknown unknowns that human pattern-recognition misses

- Balancing critical barriers with sense of progress: focus and momentum as complementary forces, not competing ones

- Innovation bootcamp: a hands-on demonstration of how AI enables maximum learning through minimum time investment by processing scenarios at scale

Format: Two four-hour online sessions combining theory, real-world case studies, and AI-based group exercises. Bring your own innovation challenges if you have them.

Who should attend: Leaders responsible for innovation success rates. Product managers, R&D directors, founders, and anyone tasked with getting new things built and into market. If you've watched good ideas die for reasons that weren't obvious until too late, this workshop will show you what to look for earlier.

The result: You'll leave with a map of the innovation journey, a clear view of where human judgment and AI capability need to work together, and practical experience using AI to navigate the stages where most innovations fail. The 98% failure rate isn't inevitable. It's a design problem. This workshop shows you how to design around it.

Dates: 12 and 19 January 2027.  Precise timing will depend on time-zones of participants, but likely to be around the middle of the day GMT.

The workshop will be facilitated by Darrell Mann

Price: £108.00 per person including VAT

(15% discount for the second and subsequent delegates arriving from the same organisation)

Delegates will receive an electronic copy of the workshop slides and measurement design templates.