Top 10: AI Collaboration Platforms

AI collaboration platforms have become essential to the functioning of modern businesses, helping teams communicate, co-create, automate and make decisions faster than ever.

These tools blend real-time collaboration with generative AI to summarise, draft, translate, plan and innovate, reducing repetitive work and unlocking creativity.

From messaging and task management to design and knowledge work, the platforms examined in this week's Top 10 are transforming workflows, boosting productivity and enabling organisations to scale smarter in a world where remote and hybrid work is the norm.

10. Trello

Year Founded: 2011 (acquired by Atlassian 2017)
CEO: Mike Cannon-Brookes (Atlassian)
Employees: ~16,000 (Atlassian)
Revenue: ~US$6bn (Atlassian)

Trello is a visual collaboration tool that organises work into boards, lists and cards, making it easy for teams to track tasks and progress. Its simplicity supports quick onboarding and flexible use across departments.

With AI-driven integrations and automation, users can generate updates, summarise activity and reduce manual coordination.

Trello is particularly effective for lightweight project management, enabling teams to collaborate asynchronously while maintaining clear visibility of responsibilities, deadlines and ongoing work in a shared workspace.

9. Asana

Year Founded: 2008
CEO: Dan Rogers
Employees: ~1,800
Revenue: US$790.8m

Asana combines structured project management with AI-driven assistance to improve team coordination. Its AI features help transform conversations into actionable tasks, recommend timelines and identify potential risks before they escalate.

Teams can manage complex projects with greater visibility, ensuring alignment across departments and stakeholders.

By centralising workflows in a single platform, Asana reduces the need for manual updates and supports more efficient planning, execution and monitoring of work across organisations of varying sizes and industries.

8. Miro

Year Founded: 2011
CEO: Andrey Khusid
Employees: ~1,600+
Revenue: N/A

Miro provides a digital canvas for brainstorming, workshops and visual collaboration.

Teams can work together in real time to map ideas, design processes and plan strategies, harnessing AI capabilities that enhance their experience by summarising sticky notes, generating structured diagrams and organising outputs into coherent formats.

This allows distributed teams to run productive sessions that move from ideation to execution more efficiently, making Miro especially valuable for creative, product and strategy-focused collaboration.

7. Figma

Year Founded: 2012
CEO: Dylan Field
Employees: ~1,800+
Revenue: US$1bn

Figma enables real-time collaborative design, allowing multiple users to work simultaneously on user interfaces, prototypes and design systems.

Stakeholders can comment, edit and iterate within the same file, reducing friction between design and feedback cycles. AI features assist with layout suggestions, content generation and maintaining consistency across components.

Figma’s cloud-based, browser-first approach ensures accessibility for global teams, making it a central tool for cross-functional collaboration between designers, developers and product managers.

6. ChatGPT (OpenAI)

Year Founded: 2015
CEO: Sam Altman
Employees: ~4,500
Revenue: ~US$19bn (ARR)

ChatGPT acts as a general-purpose AI collaboration assistant that supports a wide range of business tasks.

Teams use the platform to draft documents, summarise information, generate ideas, analyse data and assist with technical problem-solving. Its conversational interface makes it accessible across roles, enabling users to interact naturally with AI as part of their workflow.

By functioning as a shared intelligence layer, OpenAI's flagship product helps accelerate decision-making, improve communication and reduce the time required to complete knowledge-based tasks.

5. Notion

Year Founded: 2013
CEO: Ivan Zhao
Employees: ~1,000
Revenue: US$600m (ARR)

Notion integrates notes, databases and project management into a unified workspace enhanced with AI capabilities.

The tool can generate content, summarise pages, translate text and automate repetitive documentation tasks. This enables teams to centralise knowledge while improving efficiency in creating and managing information.

By combining collaboration and knowledge management in one environment, Notion helps organisations maintain a single source of truth while using AI to streamline workflows and reduce duplication of effort.

4. Zoom AI Companion

Year Founded: 2011
CEO: Eric Yuan
Employees: ~7,500+
Revenue: US$4.67bn

Zoom enhances virtual meetings through its AI Companion, which provides real-time summaries, extracts action items and supports follow-ups.

It reduces the need for manual note-taking and ensures that key discussion points are captured accurately, allowing participants to remain focused during meetings while maintaining alignment afterwards.

Particularly in remote and hybrid environments, Zoom’s AI capabilities improve meeting productivity by turning conversations into structured outputs that can be shared, tracked and acted upon across teams.

3. Slack (Salesforce)

Year Founded: 1999
CEO: Marc Benioff
Employees: ~83,000
Revenue: ~US$41.5bn

Slack is a centralised messaging platform designed for workplace collaboration through channels, direct messaging and integrations. Its AI-powered features help summarise conversations, surface key information and automate repetitive tasks within workflows.

By integrating with a wide range of business tools, Slack allows teams to maintain context-rich communication while connecting their broader tech stack.

The result is a continuous collaboration environment where communication, decision-making and execution are closely linked.

2. Google Workspace AI

Year Founded: 1998
CEO: Sundar Pichai
Employees: ~190,000 (Alphabet)
Revenue: ~US$402.8bn (Alphabet)

Google Workspace embeds AI across its core applications, including Gmail, Docs, Sheets, Slides and Meet. These tools allow teams to co-edit documents in real time while leveraging generative AI to draft emails, summarise content, create presentations and analyse data collaboratively.

The platform's cloud-native design ensures seamless access and synchronisation across devices, enabling distributed teams to work together efficiently.

By integrating AI directly into familiar productivity tools, Google Workspace enhances collaboration without disrupting established workflows, making it a powerful environment for both communication and content creation at scale.

1. Microsoft 365 Copilot

Year Founded: 1975
CEO: Satya Nadella
Employees: ~228,000
Revenue: ~US$281.7bn

Microsoft 365 Copilot is a deeply-integrated AI collaboration platform embedded across the Microsoft 365 ecosystem. It enables users to generate documents in Word, analyse data in Excel, create presentations in PowerPoint, manage emails in Outlook and collaborate in Teams using natural language prompts.

Copilot combines organisational data with large language models (LLMs) to deliver context-aware assistance tailored to enterprise needs. Its strength lies in its seamless integration across widely adopted productivity tools, allowing teams to co-create, communicate and analyse information within a unified environment.

With enterprise-grade security, governance and scalability, it supports large organisations in enhancing productivity, improving decision-making and streamlining collaboration across departments.