How does MING Labs speed up innovation with Miro AI?
By integrating Miro AI with Miro Prototypes, MING Labs transitions from a client brief to a validated solution in about three months, with stakeholders collaborating on a single canvas and iterating quickly. This strategy has created millions of dollars in additional value for clients.

Great ideas get stuck when they move between tools, teams, and formats. MING Labs changes that approach. Using Miro’s AI Innovation Workspace and Miro Prototypes, the team transforms sketches into clickable flows, gathers feedback in context, and delivers workable solutions—often within three months from the initial brief.

Why this matters

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

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

• Outcomes: In one project, MING Labs’ AI-driven recommendations resulted in millions of dollars in additional sales opportunities post-launch.

How it works

Miro Prototypes allows you to design screens and link them into flows within Miro, enabling product, design, and stakeholders to co-create without switching tools. Miro AI then accelerates exploration—producing alternative layouts, flows, or content you can test instantly.

The MING Labs approach

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

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

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

4. Stakeholder loop. Gather comments in place; resolve decisions based on evidence, not opinion.

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

Practical steps you can implement this quarter

1. Establish a single source of truth. Create one Miro board per initiative—encompassing goals, research, journeys, and prototypes to reduce coordination time.

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

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

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

5. Measure impact early. Track time-to-decision, number of iterations, and usability task success to demonstrate 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 (compared to 4–6 months typically) with hundreds of end users onboarded soon after launch.

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

• Scalable practice: Miro’s AI prototyping tools are designed to quickly generate and iterate UI, assisting teams in convergence.

Tooling notes

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

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

FAQs

Q1: How does MING Labs use Miro AI?
To speed up exploration and iteration—producing 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, quicker 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 occur where work already happens.

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

Next Steps

Summary. MING Labs demonstrates what's possible when Miro AI and Prototypes keep teams aligned: faster decisions, better stakeholder alignment, and real business results. Contact Generation Digital to establish an AI-enhanced prototyping practice and move from brief to solution in months, not quarters.