AI Decision Sprint
Clarity on your most pressing AI decision — in one week, not five months.
Engage when
- Leadership or investor pressure to define an AI strategy
- A failed or stalled AI proof-of-concept
- Vendor selection paralysis — too many options, no clear framework
- New CTO or CIO wanting an independent technical baseline
- M&A integration with AI or platform overlap questions
- Regulatory deadline requiring a defensible technology position
The engagement
The AI Decision Sprint is a focused, one-week engagement that takes your team from uncertainty to a clear, defensible decision.
One senior architect embeds with your leadership team for five days, conducts the technical analysis, stress-tests the options, and delivers a structured recommendation — complete with risk assessment, architecture context, and a prioritised path forward.
No junior analysts. No lengthy discovery phases. No 80-page decks that gather dust. One week, one clear answer.
Process
Discovery
Day 1-2
Analysis
Day 3-4
Presentation
Day 5
Discovery
Day 1-2
Analysis
Day 3-4
Presentation
Day 5
Deliverables
- AI Decision Brief
Structured analysis of the decision at hand, options evaluated, recommended path forward with rationale
- Architecture Risk Map
Visual representation of current-state risks, dependencies, and technical debt relevant to the AI decision
- Prioritized Roadmap
Sequenced next steps with effort estimates, dependencies, and quick wins identified
- Executive Presentation
Executive-ready slide deck summarizing findings, risks, and recommendations
Who This Is For
Typical Buyers
CTO, CIO, VP Engineering, Chief Digital Officer, Head of AI/ML
Industries
Any enterprise facing a high-stakes AI decision. Domain depth in insurance, banking, and financial services
Why Sparkling Neuronics
- Enterprise depth. Senior architecture and transformation roles across a tier-1 strategy consultancy and a listed European digital services firm, leading the architecture across large-scale programmes in insurance, banking, and other regulated environments. Architecture walkthroughs, risk assessments, and high-stakes technology decisions are not new territory.
- AI builder, not just advisor. Hands-on experience building production AI systems — including a multi-agent AI platform — means recommendations are grounded in what actually works in production, not what looks good on slides.
- Domain knowledge where it counts. Seven years in insurance, five in banking. The regulatory landscape, legacy constraints, and organisational dynamics of financial services are familiar ground.
- Speed without shortcuts. The one-week format works because the experience is already there. Pattern recognition built over hundreds of enterprise engagements means less ramp-up time and sharper analysis from day one.
Part of these journeys
This engagement is a step in these playbooks. See the full plan if you want the longer arc.
Related Services
Explore complementary services that build on this engagement.
Ready to discuss AI Decision Sprint?
No commitment. Confidential. A direct conversation to understand your situation and explore how we can help.