Collaboration Is AI’s Biggest Opportunity is a November 2025 study on thought leadership by Forrester Consulting (commissioned by Miro). It surveyed 518 leaders across product/engineering, IT, and business roles in North America, Europe, and APAC regions to reveal how AI adds value to the workplace and identifies the obstacles involved.

Why it’s for Miro

The research highlights that significant change emerges from AI integrated into collaborative, canvas-based platforms—as opposed to standalone tools. Work dynamics are increasingly shifting towards visual canvases for workshops, planning, and transitions; Miro capitalizes on this, endorsing the report's recommendation of a canvas + AI strategy as an effective path to team success.

👉 Download the Forrester report to explore the detailed methodology, statistics, and recommendations. Collaboration is AI's pivotal leverage point.

The Report at a Glance

• Collaboration as AI’s leverage point: Enhancing teamwork is amongst the most impactful ways to drive revenue and expedite results.

• Shift to canvas work: Use of visual collaboration tools has surged; many leaders deem them essential to accomplishing tasks.

• Point AI limitations: Current AI solutions tend toward personal productivity, causing friction when switching between applications. Teams prefer AI in their shared workspaces.

• Team expectations from AI: Summarizing workshops, turning ideas into actionable plans, streamlining transitions, and aligning goals with delivery—all within one board.

• Business implications: Organizations anticipate improved customer experiences, increased revenue, faster results, more automation, and additional time for strategic tasks.

Leaders prioritize enhancing collaboration and teamwork as key drivers for organizational objectives such as revenue growth and expedited results (pages 4–6; Fig. 1). However, current systems segment work across chat, documents, and point AI—hindering execution.

Shift to the canvas

79% report increased use of visual collaboration/digital canvases; 43% consider these tools critical—on par with chat and document co-creation (pages 6–7; Fig. 2). Now is the time to integrate AI onto the canvas where teams already synchronize.

Point AI lacks team advantage

75% agree that most AI tools concentrate too much on individual productivity; 69% cite friction from switching between AI and core tools (pages 8–10; Fig. 4). Embedding AI inside Miro minimizes that tool-switching tax and preserves context.

What teams genuinely seek in AI

Decision-makers desire AI that:

• Enhances teamwork/collaboration (54% perceive high potential).

• Operates in shared, canvas-based environments (interest: 81–83%).

• Considers project context and materials for improved prompts/answers (82–84%).
  (Refer to pages 12–13.)

Measurable Business Effects

Top expected/seen benefits: better customer experiences (52%), increased revenue (49%), accelerated time to results (46%) (page 14; Fig. 7). Specifically: more time for creative/strategic tasks (54%), enhanced automation, and cross-functional collaboration (51–48%) (page 15; Fig. 8).

Why Miro? The report’s Key Recommendations: “Focus beyond individual productivity,” “link goals to execution,” and invest in adoption and enablement—precisely what Miro’s canvas + AI supports (page 16).

Implementing Findings with Miro

A. Integrate AI where collaboration thrives

• Leverage Miro AI to synthesize discovery sessions, identify themes from sticky notes, auto-generate user-journey maps, and transform workshops into prioritized backlogs—all within the same board used by product, design, and engineering teams. (Aligns with report guidance to embed AI in core teamwork tools; pages 12–13 & 16.)

B. Align goals with execution

• Link OKRs/roadmaps on a Miro board to delivery timelines. Use AI to convert decisions into actionable steps and assign owners; this bridges the report’s strategy and execution gap (pages 12–13).

C. Minimize tool-switching and expedite hand-offs

• Keep research materials, diagrams, and workflows within one shared canvas; allow AI to respond with references to board content—mitigating context loss highlighted in the report (pages 8–10; 12–13).

D. Track key metrics

• Monitor time-to-decision, time-to-handoff, meeting count, and AI-assisted tasks completed. These correlate to the report’s benefits: time-to-value, quality of collaboration, and time for strategic tasks (pages 14–15).

60-Day Rollout (Generation Digital Playbook)

Weeks 1–2 — Assessment & Information Architecture

• Evaluate where collaboration actually occurs; consolidate significant rituals into Miro boards (e.g., Design Sprint, PI Planning, Discovery, Research Ops). (Resonates with the report’s “align goals with execution”.)

Weeks 3–4 — AI integrated in the canvas

• Enable Miro AI on pilot boards; standardize prompts for summarizing workshops, clustering insights, drafting PRDs, and creating diagrams. Reduce external document turnover (addresses fragmentation issue; pages 9–10).

Weeks 5–6 — Change Management & Enablement

• Develop a champions program and host lunch-and-learn sessions; provide job aids for each ritual. This aligns with the report’s advice to invest in learning and engagement to overcome skill/readiness constraints (page 16; plus challenges on page 11).

Weeks 7–8 — Demonstrate Value

• Establish KPIs: time-to-value, hand-off latency, meeting reduction by asynchronous boards, and time allocated for strategic initiatives (correlates with Figs. 7–8).

Need assistance? Generation Digital aids in crafting your Miro information architecture, standard boards, AI prompt library, and enablement journey—ensuring that the benefits Forrester outlines are visible in your metrics.

FAQs

Q1. Why not stick with point AI tools?
Forrester notes these tools focus on individual productivity and create friction when transitioning between them. Integrating AI in Miro maintains context and boosts team performance. (pages 8–10)

Q2. Where does Miro excel?
In cross-functional tasks: discovery, research synthesis, journey mapping, technical diagramming, roadmaps, and hand-offs—areas that respondents aim to enhance with AI. (pages 12–14)

Q3. What results can be expected?
Enhanced customer experiences and revenue, quicker results (business); more strategic time, increased automation, and improved cross-functional collaboration (team). (pages 14–15)