Workspace Software Buyer’s Guide for Collaboration

Who This Guide Is For

You need this guide if you are responsible for choosing, standardizing, or replacing workspace software in an organization where collaboration, content, communication, and AI are colliding.

Buyer personas

1) VP of Operations / Chief of Staff

• Pain points:
• Too many disconnected tools
• Meetings, docs, tasks, and approvals live in separate places
• Teams waste time finding the “latest version”
• Leadership wants AI productivity gains, but not chaos
• You need this guide if you are trying to reduce tool sprawl without breaking workflows.

2) Director of IT / Enterprise Applications

• Pain points:
• Security, identity, and access governance
• Integration debt across email, chat, storage, search, and workflow tools
• Shadow IT and duplicate licenses
• Migrations that drag on for months
• You need this guide if you own the platform decision, architecture, or rollout plan.

3) Collaboration / Employee Experience Leader

• Pain points:
• Low adoption of existing tools
• Knowledge trapped in inboxes and chat threads
• Remote/hybrid teams losing context
• Employees can’t find policies, docs, or experts fast enough
• You need this guide if you are measured on adoption, productivity, or employee experience.

4) CFO / Procurement / IT Finance

• Pain points:
• Subscription sprawl
• Hard-to-justify AI add-ons
• Paying for seats nobody uses
• “Free” tools that become expensive once you scale
• You need this guide if you need a clear TCO and vendor comparison framework.

Who should NOT read this

This guide is not for:

• Teams looking only for a basic office suite with no collaboration or governance needs
• Consumer buyers choosing a personal productivity app
• Organizations that have already standardized everything and are not evaluating change
• Projects where workspace software is just a small feature inside a larger line-of-business platform

If your problem is “we need a better word processor,” this is the wrong guide. If your problem is “we need one sane digital workspace for how people actually work,” this is the right one.

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What Workspace Software Does

Workspace software is the layer where people create, communicate, coordinate, and increasingly ask AI to help them do it faster. In practice, it combines some mix of:

• Email
• Chat and video meetings
• Document creation and co-authoring
• File storage and sharing
• Search across internal content
• Workflow automation
• Knowledge management
• Integrations with business systems
• AI assistants and copilots

The best workspace software does not just bundle apps. It reduces context switching, accelerates decisions, and makes work visible.

Before/after comparison

The business case, in dollars

A common mid-market scenario: 500 employees, average loaded labor cost of $60/hour, and each employee wastes 20 minutes per day searching for information, switching tools, or recreating work.

That is:

• 20 minutes/day = 1.67 hours/week
• 1.67 hours/week × 500 employees = 835 hours/week
• 835 hours/week × $60/hour = $50,100/week
• Annualized: roughly $2.6 million/year in lost productivity

Even if you only recover 20% of that through better workspace software, that is still about $520,000/year in value.

That is why workspace decisions matter. This is not about prettier UI. It is about time, coordination, and control.

What workspace software is not

Avoid confusing workspace software with:

• A project management tool alone
• A pure intranet
• A standalone AI chatbot
• A browser productivity layer
• A networking or security product
• A database or infrastructure platform

Those may connect to a workspace strategy, but they are not the workspace itself.

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Market Landscape 2026

The workspace software market in 2026 is split into three overlapping layers:

• Core productivity suites
• AI-enhanced work platforms
• Specialized workflow and knowledge layers

That structure matters because buyers often think they are choosing “software,” but they are really choosing a system of work.

1) Core productivity suites are still the default

The market still anchors around two giants:

• Microsoft 365
• Google Workspace

These are the most common starting points because they provide the basic bundle most companies need:

• Email
• Documents
• Spreadsheets
• Meetings
• Storage
• Identity and admin controls

In 2026, neither is just an office suite anymore. They are platform ecosystems. Microsoft extends into Teams, OneDrive, and Copilot. Google extends through Drive, Meet, Chat, and increasingly AI-assisted search and generation. For many buyers, the real choice is less about docs and more about the surrounding ecosystem.

2) AI is now a buying requirement, not a novelty

AI has changed the category in a very practical way. Buyers now expect:

• Drafting and summarization
• Internal knowledge search
• Meeting recap
• Action item extraction
• Workflow suggestions
• Natural-language querying of enterprise content

The AI layer is where many products try to differentiate, but most do it in one of four ways:

Key point: AI does not fix bad information architecture. If your files are a mess, your permissions are broken, or your content is outdated, the AI will surface garbage faster.

3) The rest of the market is getting more specialized

Beyond Microsoft and Google, the directory’s 24 products show how broad the category has become:

• AI-Powered Business OS by AgileSoftLabs
• AI Workflow Automation by Aisera
• Alchemer Workflow by Alchemer
• Amazon Q Business by Amazon Q Developer
• Buildin by Buildin
• Cisco Networking by Cisco
• Cisco Security by Cisco
• Collaboration Hub by MaterialsZone
• Corporate Intranet Software by Aufait
• Dessix by Dessix
• Google Workspace by Google
• Kore.ai Search AI by Kore.ai
• Litmaps Teams by Litmaps
• Microsoft 365 by Microsoft
• Microsoft 365 Copilot by Microsoft
• Microsoft Windows by Microsoft
• MoodleCloud by Moodle Pty Ltd
• Oracle Database Service for Azure by Oracle Corporation
• Perk Events by TravelPerk
• Rovo by Jira Service Management
• Shift: The Browser for Productivity by Shift
• Smartsheet Connectors by smartsheet
• Wato by Wato
• Xapien Xchange by Xapien Ltd

That list tells you something important: workspace software is no longer just “office productivity.”

It now includes:

• AI assistants
• Internal search
• Intranet platforms
• Workflow automation
• Browser-layer productivity
• Learning environments
• Event coordination
• Data connectors
• Research collaboration
• Security and networking dependencies
• Cross-platform knowledge discovery

How the vendor landscape is structured

A useful way to group the 24 products:

A. Core suite vendors

Best when you want a broad, standardized workspace foundation.

• Microsoft 365
• Google Workspace
• Microsoft 365 Copilot
• Microsoft Windows

B. AI-first workspace and knowledge vendors

Best when your biggest problem is finding information or automating knowledge work.

• Amazon Q Business
• AI Workflow Automation by Aisera
• Kore.ai Search AI
• Rovo
• Xapien Xchange
• Dessix
• AI-Powered Business OS by AgileSoftLabs

C. Workflow and process layer vendors

Best when collaboration is tied to structured work, requests, or approvals.

• Alchemer Workflow
• Smartsheet Connectors
• Wato
• Buildin
• Collaboration Hub by MaterialsZone

D. Intranet and employee hub vendors

Best when employees need one front door for company information.

• Corporate Intranet Software by Aufait
• Collaboration Hub by MaterialsZone
• Rovo, in some deployments

E. Productivity edge tools

Best when the issue is context switching, not full suite replacement.

• Shift: The Browser for Productivity

F. Vertical or adjacent collaboration products

Not core workspace platforms, but relevant in specific environments.

• MoodleCloud
• Perk Events
• Litmaps Teams

G. Infrastructure-adjacent products

These are not workspace software by themselves, but they influence the workspace experience.

• Cisco Networking
• Cisco Security
• Oracle Database Service for Azure

What changed from 2024 to 2026

The biggest market shifts are:

• AI is bundled into more products by default
• Buyers now ask about governance as much as capability
• Search across systems is more valuable than another standalone app
• Intranet software is making a comeback because employees need a front door
• Workflow tools are absorbing collaboration features
• Vendors are pushing toward platform consolidation, but most buyers still end up with a hybrid stack

The blunt truth

In 2026, there are only three real workspace strategies:

• Standardize on Microsoft
• Best for enterprise governance, deep office usage, and heavy Teams/Outlook dependency

• Standardize on Google
• Best for cloud-native, fast-moving, browser-first teams

• Build a layered workspace
• Core suite + AI search + workflow + intranet + specialist tools

Most mid-market and enterprise buyers end up in option 3 whether they planned to or not.

The mistake is pretending option 3 is a clean one-vendor story. It usually is not.

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The 8 Things That Matter Most

Below are the criteria that actually matter when buying workspace software. These are weighted for a typical mid-market-to-enterprise evaluation. Total = 100%.

1) Information discovery and search quality — 18%

Why it’s critical: If people cannot find what they need in under 30 seconds, they interrupt someone else, recreate work, or give up. Search is now the front door to the workspace.

What to evaluate:

• Search across docs, chats, tasks, tickets, and policies
• Permission-aware results
• Semantic search quality
• Result freshness and ranking controls
• Connector depth

What good looks like:

• Employees can find the right doc, answer, or expert without knowing exact filenames
• Search respects access controls automatically
• Results are usable on day one, not after six months of tuning

Red flag:

• “AI search” that only works on clean demo content
• Search that ignores permissions or returns stale results
• Heavy dependence on manual tagging

Ask the vendor:

• What content sources can you search natively?
• How do you enforce permission trimming in results?
• How long does it take to make search useful after implementation?

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2) Collaboration depth — 14%

Why it’s critical: A workspace platform should reduce handoffs, not just provide file storage and chat.

What to evaluate:

• Co-authoring
• Comments, mentions, approvals
• Meeting integration
• Task handoff
• Version control
• Cross-team collaboration visibility

What good looks like:

• Teams can move from discussion to action without exporting information to another tool
• Comments, decisions, and ownership remain attached to the work

Red flag:

• A “collaboration suite” that is really just a file repository with chat bolted on
• Weak support for asynchronous work
• No clear ownership or audit trail

Ask the vendor:

• How do you preserve discussion context across docs, chat, and tasks?
• What collaboration features are native versus integrated?
• Can external collaborators participate securely?

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3) Workflow automation and actionability — 13%

Why it’s critical: The biggest value in workspace software comes when collaboration turns into action. Otherwise, you are just exchanging messages faster.

What to evaluate:

• Approval workflows
• Request intake
• Task automation
• Trigger/action logic
• No-code or low-code capability
• Integration with service systems

What good looks like:

• Common requests are handled without manual routing
• Users can submit and track work in one place
• Automation reduces repetitive admin tasks by 25%+ in targeted processes

Red flag:

• Automation that only works inside one app
• “No-code” tools that still need engineering support for every change
• Overly rigid workflows that break in real life

Ask the vendor:

• Which workflows can business users build without IT?
• How are exceptions handled?
• What percentage of customers automate their top 10 use cases in the first 90 days?

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4) Security, compliance, and governance — 13%

Why it’s critical: Workspace tools handle the most sensitive operational content in the company. If governance is weak, adoption will either stall or become risky.

What to evaluate:

• SSO and SCIM
• RBAC/ABAC
• Audit logs
• Data retention
• Legal hold
• Encryption
• Compliance certifications
• Guest/external access controls

What good looks like:

• Admins can prove who saw what, when
• Access policies are consistent across content and collaboration layers
• The platform supports your regulatory environment without hacks

Red flag:

• Consumer-grade sharing controls
• Weak auditability
• Security features hidden behind premium tiers
• AI features with unclear data handling

Ask the vendor:

• Where is data stored and processed?
• How is customer content used for model training, if at all?
• Can we export logs for SIEM and compliance review?

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5) Integration ecosystem — 12%

Why it’s critical: No workspace platform will replace every tool. If integrations are weak, users will live in two systems and hate both.

What to evaluate:

• Native connectors
• API quality
• Webhooks
• Identity integrations
• Third-party app marketplace
• Data sync reliability

What good looks like:

• Smooth integration with CRM, ticketing, HR, and storage systems
• APIs are documented and stable
• Key workflows are not brittle

Red flag:

• Connectors that exist only as marketing bullets
• API limits that kill real usage
• Multi-step integration projects for simple scenarios

Ask the vendor:

• Which integrations are native and supported?
• What is your API rate limit?
• How do you handle sync conflicts and errors?

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6) User adoption and experience — 10%

Why it’s critical: If employees hate the tool, they will route around it. Adoption is not a soft metric. It determines ROI.

What to evaluate:

• Ease of use
• Mobile experience
• Search speed
• Keyboard shortcuts
• Learning curve
• Frequency of required clicks
• Everyday workflow fit

What good looks like:

• Users can do the common 80% without training
• The interface feels familiar and fast
• Adoption rises in the first 60–90 days without forcing compliance

Red flag:

• “Powerful” interface that requires a 3-week training program
• Low usage after pilot
• Confusing navigation between apps and modules

Ask the vendor:

• What is your typical time-to-first-value?
• What adoption metrics do your customers track?
• How many users are active after 90 days in a typical deployment?

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7) AI utility and guardrails — 10%

Why it’s critical: AI is now table stakes, but bad AI creates false confidence. Useful AI should reduce work, not create risk.

What to evaluate:

• Summarization accuracy
• Citation/traceability
• Prompt controls
• Access controls
• Hallucination mitigation
• Admin governance
• Model flexibility

What good looks like:

• AI answers are grounded in company content
• Citations are easy to verify
• Admins can manage usage and policy
• AI improves specific tasks, not just demos

Red flag:

• No citations
• Unclear model sourcing
• AI that can access content users should not see
• Vendor hype with no measurable productivity impact

Ask the vendor:

• Can AI responses be traced to source documents?
• Can admins disable specific AI features by group or region?
• How do you measure accuracy or answer quality?

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8) Total cost and rollout complexity — 10%

Why it’s critical: The list price is often the least important part. Implementation, training, change management, and integration can double the true cost.

What to evaluate:

• Licensing model
• Minimum seats
• AI add-on pricing
• Professional services
• Migration effort
• Training needs
• Ongoing admin overhead

What good looks like:

• Transparent per-user or usage-based pricing
• Reasonable implementation timeline
• Clear assumptions for migration and support
• Limited hidden costs

Red flag:

• Pricing that only makes sense after a custom quote
• AI fees layered on top of already expensive licenses
• Heavy services dependency for basic deployment

Ask the vendor:

• What is the fully loaded 3-year cost for our size?
• What is included versus paid professional services?
• What costs increase as usage grows?

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Use-Case Matching: Which Type of Buyer Are You?

Different organizations need different workspace strategies. Do not buy for the average company. Buy for your actual operating model.

1) Growth-stage company

Typical profile: 100–1,500 employees, fast hiring, limited IT bandwidth, lots of process churn

What matters most:

• Fast rollout
• Easy admin
• Strong collaboration basics
• Reasonable cost
• Good integrations with HR, CRM, ticketing, and identity

Prioritize:

• Simple suite standardization
• Search and co-authoring
• Lightweight workflow automation
• AI that speeds up content creation and knowledge retrieval
• Low-friction onboarding

Avoid:

• Heavy customization
• Complex multi-year implementation
• Tools that require dedicated platform engineers

Best fit pattern:

• Core suite + one AI/search layer + one workflow layer

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2) Enterprise with strong governance requirements

Typical profile: 5,000+ employees, regulated or security-sensitive, multiple business units, formal controls

What matters most:

• Security and compliance
• Identity governance
• Auditability
• Permissions model
• Admin scalability
• Change control

Prioritize:

• Robust SSO/SCIM
• Granular access controls
• Retention and legal hold
• Permission-aware AI/search
• SIEM and compliance exports
• Regional data controls if needed

Avoid:

• Consumer-style collaboration tools
• Shadow AI usage
• Products that cannot pass security review without exceptions

Best fit pattern:

• Standardized core suite + enterprise search/AI + controlled workflow layer

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3) Industry-specific organization

Typical profile: education, research, professional services, events, manufacturing, or operations-heavy environments

What matters most:

• Fit for the operational workflow
• Knowledge sharing across specialized teams
• Integration with domain tools
• Content lifecycle management
• External collaborator support

Prioritize:

• Purpose-built collaboration or knowledge tools
• Strong search across domain content
• Structured workflows and approvals
• Support for guest access and controlled sharing

Avoid:

• Generic suites that do not reflect your process reality
• Over-buying broad platforms when you need one sharp solution
• AI tools with no domain context

Best fit pattern:

• Core suite plus a specialized layer such as intranet, workflow, learning, or knowledge discovery

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4) Budget-conscious buyer

Typical profile: Small-to-mid-sized team, cost-sensitive, trying to reduce tool sprawl

What matters most:

• Subscription efficiency
• Consolidation
• Usability
• Free or bundled capabilities
• Minimal services cost

Prioritize:

• Core suite bundle value
• Native collaboration features
• Free trials and pilots
• Simple administration
• Avoiding overlap

Avoid:

• Paying for AI before core adoption is stable
• Niche tools with hidden support costs
• Buying best-of-breed for every function

Best fit pattern:

• One primary suite, one workflow layer if needed, and strict license governance

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Vendor Evaluation Questions

Use these questions in RFPs, demos, and reference calls. Do not let vendors answer only with marketing language.

Features

• What are the core workspace capabilities included by default?
• Which collaboration features are native versus integrated?
• Can users work asynchronously and synchronously in the same platform?
• How does version control work across files and content types?
• Can external users collaborate securely without broad access?
• Does the platform support task assignment, approvals, or workflows?
• How does search work across different content sources?
• Which AI features are included, and which cost extra?

Integration

• Which systems do you integrate with natively?
• What APIs, webhooks, or SDKs are available?
• Do you support SSO and SCIM?
• How do you handle sync errors and conflict resolution?
• Can we connect to our CRM, HRIS, ticketing, and storage systems?
• What is your dependency on third-party connectors or partners?
• How long does a standard integration usually take?

Security

• What security certifications do you maintain?
• Where is customer data stored and processed?
• Is customer content used to train AI models?
• Can we control AI access by role, region, or business unit?
• What audit logs are available?
• How do you support retention, legal hold, and data deletion?
• Can we export logs and records to our SIEM or compliance tools?

Pricing

• What is the full cost per user, including AI add-ons?
• Are there usage-based fees, and how do they scale?
• What are the minimum seat commitments?
• What professional services are required?
• What does migration cost in a realistic deployment?
• What features are gated behind higher tiers?
• How do renewal increases typically work?

Implementation

• What is the average time to first value for a customer our size?
• What does a typical deployment team look like?
• How much data cleanup or migration prep is required?
• What adoption support do you provide in the first 90 days?
• What are the most common implementation failures?
• What does success look like after 6 months?

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Common Mistakes to Avoid

Mistake #1: Buying for features instead of workflow

Many teams compare feature checklists and ignore how people actually work day to day. That leads to tools that look great in demos and fail in practice.

Consequence: Low adoption, duplicate tools, and angry users. Do this instead: Map your top 10 work scenarios first, then test whether the tool supports them end to end.

Mistake #2: Assuming AI will clean up a messy workspace

AI is not a substitute for governance. If your content is scattered, stale, or poorly permissioned, AI will amplify the mess.

Consequence: Bad answers, compliance risk, and loss of trust. Do this instead: Spend 2–4 weeks on data cleanup and permissions review before rollout.

Mistake #3: Underestimating integration complexity

A workspace platform rarely replaces everything. If integrations are weak, users end up switching between systems all day.

Consequence: Reintroduced tool sprawl and broken workflows. Do this instead: Validate the top 5 integrations in a pilot, not after contract signature.

Mistake #4: Ignoring admin overhead

Some platforms are easy for users but painful for IT. Others are the opposite. The wrong choice creates hidden labor costs.

Consequence: More support tickets, slower rollouts, and burnout in IT. Do this instead: Ask who owns taxonomy, permissions, retention, and AI policy after launch.

Mistake #5: Paying for premium AI before core adoption is stable

If teams do not already use the base workspace well, AI will not save you.

Consequence: You pay extra for features few people use. Do this instead: Prove baseline usage first, then layer AI where it clearly saves time.

Mistake #6: Choosing an intranet that is just a content dump

A static intranet full of stale links is not a workspace. It is a liability.

Consequence: Employees stop trusting it and go back to asking around. Do this instead: Require search, ownership, freshness controls, and workflow connections.

Mistake #7: Letting departments buy their own “mini-workspaces”

Shadow platforms create fragmented knowledge and inconsistent security.

Consequence: Data silos, duplicate licenses, and governance problems. Do this instead: Set platform standards, then allow exceptions only with a clear business case.

Mistake #8: Skipping change management

Even good software fails if people are not trained on the new way of working.

Consequence: Low adoption and return to old habits within 60 days. Do this instead: Budget for champions, training, and usage nudges from day one.

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Evaluation Timeline & Process

A disciplined evaluation should take 6–8 weeks. Faster than that usually means you are skipping the messy parts.

Week-by-week process

Weighted evaluation matrix template

Use this structure to score vendors on a 1–5 scale.

Scoring guidance

• 5 = Strong, proven, low-risk fit
• 4 = Solid fit with manageable gaps
• 3 = Acceptable but requires workarounds
• 2 = Significant concerns
• 1 = Deal-breaker risk

Do not average scores blindly. A vendor with a 4.6 on everything but a 2 on security is not a safe choice for most enterprise buyers.

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Implementation Reality Check

Typical implementation timelines by company size

Key success factors

• Clear ownership: One business owner and one technical owner
• Defined use cases: Do not launch with “everything”
• Content hygiene: Fix stale docs and bad permissions before go-live
• Role-based rollout: Start with a team that feels the pain most
• Usage measurement: Track active users, search success, and time saved
• Training that is actually useful: Show people how they work, not product tours

What vendors won’t tell you

• The pilot can look great even if scale fails
• Most AI features are only as good as your underlying content quality
• Integrations are often “possible,” not “easy”
• Adoption drops fast if the tool is introduced as “just another place to check”
• Security review often takes longer than the sales cycle
• Real ROI depends more on behavior change than licensing discounts

A blunt implementation rule

If you cannot explain:

• who uses it
• for what
• how often
• what data lives there
• who owns it

…you are not ready to implement.

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Red Flags — When to Walk Away

These are deal-breakers, not minor annoyances.

If you hit two or more of these, stop and re-evaluate the shortlist.

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How This Guide Was Created

This guide was created using a vendor-neutral buyer-analysis framework focused on collaboration workspace software, AI-enabled productivity, search, workflow, intranet, and adjacent productivity platforms.

Methodology

• Reviewed the provided directory of 24 products in the collaboration/workspace subcategory
• Synthesized common buyer requirements across SMB, mid-market, and enterprise environments
• Prioritized decision criteria that materially affect adoption, security, integration, and ROI
• Used practical implementation and procurement patterns common in enterprise software evaluations

Review date

September 2026

Update frequency

This guide should be reviewed quarterly or whenever there is a major platform shift, acquisition, pricing change, or AI governance update.

Independence disclaimer

This guide is published for an independent software directory and is not vendor-sponsored. Product mentions are based on directory inclusion and provided profile data, not paid placement.

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If you want, I can also turn this into a commercial.ai-ready version with tighter SEO structure, FAQ schema, and a comparison table for all 24 products.

Workspace solutions in the catalogue (23)

• Acuity Scheduling by Squarespace — Streamline scheduling, automate reminders, and manage clients with ease.
• AI Workflow Automation by Aisera — AI-powered automation for personalized, seamless business processes.
• Alchemer Workflow by Alchemer — Streamline feedback collection and automate processes with a no-code workflow engine.
• Amazon Q Business by Amazon Q Developer — Generative AI assistant for enterprise: find information, gain insights, and take action.
• Buildin by Buildin — The all-in-one AI workspace for docs, wikis, mind maps, databases, and paid subscriptions.
• Cisco Networking by Cisco — Intelligent network solutions to securely connect users, devices, applications, and workloads everywhere.
• Cisco Security by Cisco — Build a future-ready security platform with comprehensive network, endpoint, and cloud protection.
• Collaboration Hub by MaterialsZone — Enhance cross-departmental R&D collaboration with real-time, cloud-based teamwork.
• Dessix by Dessix — Your Thinking Space with AI
• Glean by Glean — Enterprise AI search across 100+ business apps with semantic understanding.
• Google Workspace by Google — Secure online productivity and collaboration tools for business.
• Kore.ai Search AI by Kore.ai — Optimize enterprise search with powerful AI-driven API functionalities.
• Litmaps Teams by Litmaps — Collaborative workspaces for research labs, classrooms, and small groups to share literature and develop research.
• Microsoft 365 Copilot by Microsoft — Your everyday AI assistant integrated across Microsoft 365 apps to enhance productivity and creativity.
• MoodleCloud by Moodle Pty Ltd — Managed cloud hosting for Moodle LMS, empowering educators and organizations to create online courses.
• Oracle Database Service for Azure by Oracle — Run Oracle Databases on OCI, seamlessly integrated with applications on Microsoft Azure.
• Perk Events by TravelPerk — Plan, book, and manage all types of company events and group travel from a single platform.
• Rovo by Atlassian — AI-powered knowledge discovery, search, and chat for enhanced team collaboration and support.
• Shift: The Browser for Productivity by Shift — Centralize emails, apps, and workflows for ultimate productivity.
• Smartsheet Connectors by smartsheet — Seamlessly connect Smartsheet with your favorite enterprise tools and apps.
• Wato by Wato — Shared memory and reusable workflows for AI agents across teams.
• Xapien Xchange by Xapien Ltd — Xapien's official user community platform for collaboration and support.
• Zetoe AI Writing Extension by Zetoe — AI Chrome extension for writing, reading, fact-checking, and form autofill