5-day intensive sprint. 13-week embed. Transform a critical business process using AI-powered design thinking. New products, new revenue lines, measurable commercial impact. The methodology is proven. AI transforms the velocity.
After STEP 1 proves your capacity uplift, FUTURE takes that capacity and focuses it on a critical business process. You apply AI thinking to demand-to-delivery, order-to-cash, or customer-to-renewal. Real business outcomes. Real revenue or cost impact.
Sales & Revenue: Re-imagine pipeline generation, deal progression, or customer acquisition. Typical uplift: 5–15% pipeline growth within 90 days.
Customer Experience: Re-engineer support, onboarding, or renewal. Measurable improvement within 13 weeks.
Operations: Transform fulfillment, scheduling, or resource allocation. Typical uplift: 10–20% velocity improvement within 3 months.
Finance & Admin: Reinvent expense management, reconciliation, or reporting. Typical uplift: 15–25% time savings within 90 days.
Five days of intensive, hands-on design work. Each day builds on the last. By Day 5, you have a working prototype, a customer-validated design, and a 13-week roadmap.
Process mapping captures what actually happens: not the org chart, but the flow of decisions, tools, and handoffs. Customer interviews surface the real friction: what slows them down, what confuses them, where they feel let down. Bottleneck identification reveals which steps you'll focus on redesigning. Success metrics get locked in on Day 0, so you know exactly what "better" looks like by Day 5. By end of Day 0, you have a shared baseline and the team knows what problem you're solving.
Extended customer interviews take the Day 0 baseline deeper. We're looking for what they're actually struggling with, not what you assume they struggle with. Needs assessment builds a customer-centric map of jobs-to-be-done, pains they feel, gains they want. Competitive positioning research shows what they see elsewhere: how your redesigned process stacks up. Insight synthesis pulls all this into a coherent story: here's what customers truly value, here's where your current process falls short, here's what your redesign needs to fix. By Day 1 evening, the team sees your process through the customer's eyes, not your own.
Future-state process design takes the customer truth and asks: what should this flow look like if you could rebuild it from scratch? AI integration points are identified: where does AI step in to handle repetition, classification, or prediction? Which decisions stay human? Role redesign happens in real time: your operations team isn't being replaced, they're being levelled up to higher-judgment decisions. Technology options get scoped not as a procurement exercise, but as "here's what we'd need to build this prototype by tomorrow". By Day 2 end, you have a coherent future state that's radical but possible. Your team can see themselves in it.
Workflow prototyping moves fast: Zapier, Make, AI APIs, and your own tools stitched together. This isn't production code; it's a working proof that your design idea actually holds up when you put data through it. Customer feedback loops get built in from the start (not bolted on at the end). Your team session on the prototype is where the magic happens: people who said "that won't work" on Day 2 now see it running. They spot real gaps, not theoretical ones. Readiness for validation means by end of Day 3, you have something concrete enough to show real customers tomorrow (something that makes them say "oh, I see" rather than "I don't get it").
Customer validation sessions with 5–10 target users aren't focus groups; they're rapid one-on-ones where you show the prototype and watch them use it. Where do they hesitate? Where do they lean in? Feedback synthesis happens live (by afternoon, the team has heard the same patterns across five customer voices). Go-to-market messaging gets refined because you've heard how customers actually talk about the problem and why your solution matters to them. Iteration priorities get captured not as a long list, but as: what two things would make customers actually adopt this? What one thing breaks it? Day 4 closes with evidence, not hope.
Phased rollout planning answers the hardest question: you've proven the idea, but how do you move 50 people (or 500) to new ways of working without chaos? Pilot cohorts and timing get locked in: Week 1–2 internal team, Week 3–6 light customer pilots, Week 7–10 scaled rollout, Week 11–13 full adoption. Team capability roadmap shows how people get fluent with the new process, which shortcuts you avoid on day one, when you actually expect productivity to improve. Success metrics and tracking tie back to Day 0 (are we moving the needle on the metrics you committed to?). By Day 5, you leave with more than a prototype; you leave with a roadmap your team believes in.
The sprint generates the prototype and roadmap. The 13-week embed installs the operating rhythm that makes it stick. Fortnightly sprints. Weekly retros. Monthly stakeholder updates. Your team owns it by week 13.
Not a prototype gathering dust. Real, measurable commercial change baked into how your team works.
Depends on the business process you chose. Sales automation typically delivers 5–15% pipeline growth. Support automation typically delivers NPS uplift. Finance automation typically delivers time savings.
For customer-facing processes, NPS and satisfaction scores improve within 13 weeks. Your customers feel the change because their experience improved.
Your team moves faster. Automation means fewer manual touchpoints. Better tools mean better decisions. Velocity improvements are permanent.
By week 13, your team owns the roadmap, the process, and the tools. TIP exits. Your capability is permanent. This is not dependency.
Adam built new products at Jacobs using this approach. Gary transformed delivery capability at Flux(x). What took months pre-AI now compresses into weeks. Your sprint produces a validated roadmap, committed team, and 13-week implementation plan from day one.
Measurement from Day 1: Baseline established on Day 0. KPIs tracked weekly: pipeline movement, satisfaction, velocity, cost-per-transaction. By week 4, you see the trend. By week 13, you have permanent proof of impact.
Questions? Email us or call 07766 321 999. Or explore BRILLIANCE (scale what works) or EMBED (install the operating rhythm).
TIP's AI Fluency Model (L0–L4) maps your leaders' progression from unaware to transformation. Every session targets a specific fluency shift.
FUTURE targets L3 → L4. Re-imagine demand-to-delivery with AI.
After STEP 2
STEP 1 gave you internal truth. STEP 2 gave you customer truth. STEP 3 reshapes the operating model: structure, technology, people, governance (around what you're now selling). Customer-back. Evidence-grounded.
Explore STEP 3 →