How does MING Labs accelerate innovation with Miro AI?
By combining Miro AI with Miro Prototypes, MING Labs moves from client brief to a validated solution in about three months, engaging stakeholders on a single canvas and iterating rapidly. The approach has generated millions of euros in incremental value for clients.

Great ideas stall when they bounce between tools, teams, and formats. MING Labs breaks that pattern. Using Miro’s AI Innovation Workspace and Miro Prototypes, the team turns sketches into clickable flows, gathers feedback in context, and ships workable solutions—often in three months from the initial brief.

Why this matters

• Speed: Prototyping directly on the canvas removes hand-offs and reduces rework.

• Clarity: AI-generated variations help teams compare options quickly and converge on what works.

• Outcomes: In one engagement, MING Labs’ AI-powered recommendations led to millions of euros in incremental sales opportunities post-launch.

How it works

Miro Prototypes lets you design screens and link them into flows inside Miro, so product, design, and stakeholders co-create without switching tools. Miro AI then accelerates exploration—generating alternative layouts, flows, or content you can test immediately.

The MING Labs pattern

1. Brief to canvas. Import the brief, constraints, and customer insights to a single board.

2. AI exploration. Use Miro AI to generate variations of key screens and user journeys.

3. Clickable prototype. Build a realistic, navigable flow with Miro Prototypes.

4. Stakeholder loop. Gather comments in situ; resolve decisions with evidence, not opinion.

5. Field validation. Test with real users; iterate weekly until confident to build.

Practical steps you can copy this quarter

1. Stand up a single source of truth. Create one Miro board per initiative—goals, research, journeys, and prototype all in one place to cut coordination time.

2. Generate first-pass flows with AI. Ask Miro AI to propose three alternative flows for your key task (e.g., onboarding), then prune to one.

3. Build the prototype on-canvas. Use Miro Prototypes to link screens, define hotspots, and simulate the experience end-to-end for demo and testing.

4. Run weekly feedback cycles. Invite clients/users to comment directly on the prototype; resolve blockers in the board, not in decks.

5. Measure impact early. Track time-to-decision, number of iterations, and usability task success to prove value before engineering starts.

6. Handover with context. Export flows and decisions from the same board so engineering inherits the ‘why’, not just the ‘what’.

Evidence of impact

• Time-to-solution: MING Labs delivered a production solution in ~3 months (vs. 4–6 months typical) with hundreds of end users onboarded shortly after launch.

• Financial outcomes: AI-powered recommendations created millions of euros in incremental sales opportunities for the client.

• Scalable practice: Miro’s AI prototyping tools are designed to generate and iterate UI quickly, helping teams converge faster.

Tooling notes

• Miro Prototypes availability: Add-on for Starter, Business, and Enterprise; build UI directly in Miro and connect screens into flows.

• AI Prototype Generator: Quickly explore alternative screens/flows and refine based on feedback.

FAQs

Q1: How does MING Labs use Miro AI?
To accelerate exploration and iteration—generating alternative screens and flows, then refining them with stakeholders on one canvas.

Q2: What are the benefits of using Miro AI and Prototypes together?
Fewer hand-offs, faster decisions, and earlier user validation—often compressing delivery to roughly three months from brief to solution.

Q3: How do Miro Prototypes work?
They let you design UI and build clickable flows directly in Miro, so reviews happen where work already lives.

Q4: Does this lead to measurable business outcomes?
Yes—MING Labs’ deployment generated millions of euros in incremental sales opportunities for the client.

Next Steps

Summary. MING Labs shows what’s possible when Miro AI and Prototypes keep teams in one flow: faster decisions, tighter stakeholder alignment, and real business results. Contact Generation Digital to stand up an AI-accelerated prototyping practice and move from brief to solution in months, not quarters.