AI software for business now supports a much wider range of work, from research and content creation to customer service, workflow automation, meeting intelligence, CRM, and application development. Many platforms also combine generative AI with agents, integrations, company data, and administrative controls in the same environment.
The eight products in this guide address different business needs, including general-purpose AI, Microsoft 365 productivity, cross-app automation, CRM agents, enterprise service workflows, hybrid AI development, customer support, and meeting intelligence.
- Best AI software for business at a glance
- Types of AI software for businesses
- How I chose the best AI software for business
- ChatGPT Business
- Microsoft 365 Copilot Business
- Zapier Agents
- Salesforce Agentforce
- ServiceNow AI Platform with Otto
- IBM watsonx.ai
- Tidio Lyro AI Agent
- Fathom
- How to choose AI software for your business
- AI software is becoming part of the business stack
Best AI software for business at a glance
Tool | Best for | Key capabilities | Free tier | Starting paid price |
| ChatGPT Business | General-purpose business AI | Research, analysis, coding, company knowledge, workplace connections | No Business free tier | $20/user/month |
| Microsoft 365 Copilot Business | Microsoft 365 workflows | Word, Excel, PowerPoint, Outlook, work context, AI agents | No standalone free tier; Copilot Chat with eligible plans | $18/user/month promo ($21 regular) |
| Zapier Agents | No-code cross-app AI automation | AI agents, app actions, live data, web access | 400 activities/month | $33.33/month |
| Salesforce Agentforce | CRM-driven AI agents | CRM data, sales and service agents, automated actions | Foundations for eligible customers | $2/conversation or $500/100,000 Flex Credits |
| ServiceNow AI Platform with Otto | Enterprise service workflows | AI agents, service workflows, approvals, orchestration | No standalone free tier | Custom pricing |
| IBM watsonx.ai | Hybrid enterprise AI development | Foundation models, RAG, customization, APIs, deployment | Free Toolbox | $0 + usage |
| Tidio Lyro AI Agent | SMB customer-service automation | Automated support, human handoff, CRM and API integrations | 50 lifetime conversations | $32.50/month |
| Fathom | Meeting intelligence | Recording, transcription, summaries, action items, search | Free individual plan | $15/user/month, 2-user minimum |
Monthly prices are based on annual billing unless otherwise noted. Usage-based fees may increase the total cost.
Types of AI software for businesses
Business AI covers several categories, and identifying the right one first can make vendor comparisons easier. A company looking for help with everyday research and writing has different requirements from one automating CRM actions or building production AI applications.
General-purpose generative AI
Generative AI platforms handle broad tasks such as research, drafting, summarization, coding, data analysis, and content creation. A single workspace can also support multiple teams, making this category a practical starting point for businesses adopting AI.
AI productivity tools
For everyday work, AI productivity tools can help with document creation, knowledge retrieval, scheduling, collaboration, and workflow support. Some products operate independently, while others are embedded directly into productivity suites.
AI writing tools
Writing-focused AI platforms support drafting, rewriting, editing, grammar, tone, brand consistency, and marketing content. Dedicated tools often provide more specialized controls and workflows than the writing features included in multipurpose AI assistants.
AI video tools
Video generation platforms can turn scripts, prompts, images, avatars, presentations, and existing footage into finished content. Businesses often use AI video generators for training, onboarding, internal communication, marketing, localization, and instructional materials.
AI meeting assistants
Meetings can become searchable business records with AI meeting assistants that provide transcription, summaries, search, action items, and conversation intelligence. Options range from straightforward note-taking tools to team platforms with CRM syncing, analytics, and coaching features.
AI voice tools
Voice-generation platforms turn text into synthetic speech and may also support voice cloning, multilingual dubbing, and related audio workflows. Businesses use AI voice tools for narration, training, accessibility, localization, and customer-facing content.
AI 3D generators
Designers and development teams can use AI 3D generators to create three-dimensional assets from prompts, images, or reference material. Applications include visualization, design, gaming, product concepts, and prototyping, although output quality and cleanup requirements vary by platform.
AI art and image generators
Visual-content workflows are another common use for AI. AI art generators can create or modify images from prompts and references for concept development, marketing graphics, social media content, design exploration, and editing.
AI project management tools
Project teams can use AI project management tools to create assignments, summarize project information, assist with schedules, search workspaces, identify risks, and automate workflows.
AI agents and enterprise AI platforms
More autonomous AI agents and enterprise platforms can retrieve company information, take actions across connected applications, automate multi-step processes, or provide infrastructure for building and deploying AI applications.
Zapier Agents, Salesforce Agentforce, ServiceNow AI Platform, and IBM watsonx.ai approach these needs differently. Workflow fit, integration depth, permissions, deployment requirements, and usage costs are important considerations when comparing them.
How I chose the best AI software for business
I evaluated each platform across five areas: AI capabilities, business use-case fit, workflow and integration completeness, business and enterprise readiness, and pricing and accessibility. Products also needed to address a sufficiently distinct business need to earn a place in the final selection.
Current vendor documentation, pricing pages, help resources, and product updates formed the basis of the feature and pricing comparisons. I also reviewed independent feedback where available to identify recurring strengths and limitations.
Gartner Peer Insights provided enterprise-user perspectives on products including ChatGPT, Microsoft 365 Copilot, Salesforce Agentforce, ServiceNow Now Assist, and IBM watsonx.ai, while G2 reviews helped inform the assessments of Tidio and Fathom.
Because the products serve different types of business work, third-party star ratings were not treated as directly comparable scores. A meeting assistant, for example, should be judged against meeting-specific requirements rather than an enterprise AI development platform.
ChatGPT Business
Best for general-purpose business AI
ChatGPT Business combines general-purpose generative AI with tools for research, writing, analysis, coding, company knowledge, and agent-assisted work. Employees can use the same workspace for different types of knowledge work instead of adopting a separate AI product for every task.
Business features include centralized administration, SAML SSO, MFA, company knowledge, and connections to workplace services. OpenAI also states that Business workspace data is not used to train its models by default.
Current Gartner Peer Insights reviews of ChatGPT reinforce its breadth across tasks such as research, coding, and everyday problem-solving while also pointing to an important limitation: factual outputs still need verification when accuracy matters.
Standout features
- Broad AI workspace: Supports research, drafting, analysis, coding, files, and other knowledge work.
- Company knowledge: Lets employees work with approved company information and connected sources.
- Workplace connections: Links ChatGPT with supported business applications and repositories.
- Business controls: Includes SAML SSO, MFA, centralized administration, and usage controls.
Pros and cons
Pros | Cons |
| Covers a wide range of employee tasks | Important factual outputs still need verification |
| Combines general AI, coding, company knowledge, and agents | Less deeply embedded in specialist CRM and service workflows |
| Includes centralized business administration | Requires at least two paid Business seats |
Pricing
- Standard: $20 per user/month billed annually, or $25 monthly.
- Premium: $100 per user/month billed annually, or $125 monthly.
- Enterprise: Custom pricing.
- Business workspaces require at least two paid seats.
Our verdict: ChatGPT Business is the most broadly applicable product in this comparison. It fits organizations that want one AI workspace for multiple forms of knowledge work, although specialist operational workflows may still call for software built around the underlying business system.
Microsoft 365 Copilot Business
Best for Microsoft 365 workflows
Microsoft 365 Copilot Business brings AI into Word, Excel, PowerPoint, Outlook, and other Microsoft 365 applications. It can use organizational work context while operating within the identities, permissions, and security controls already established in Microsoft 365.
The platform also includes specialized agents for research, analysis, and other workplace tasks. That integration gives Copilot its clearest advantage over a standalone AI assistant.
Microsoft 365 Copilot has a substantial enterprise review base on Gartner Peer Insights. Reviewers frequently highlight Microsoft 365 integration and access to existing work context, while pricing and inconsistent results remain recurring considerations.
Standout features
- Microsoft 365 integration: Adds AI capabilities across core workplace applications.
- Work context: Uses organizational information and existing permissions.
- Specialized agents: Supports agents for research, analysis, and other work.
- Existing administration: Works with Microsoft identity, security, compliance, and management tools.
Pros and cons
Pros | Cons |
| Deep integration with Microsoft 365 | Requires an eligible Microsoft 365 plan |
| Uses existing organizational context and permissions | Adds another per-user cost across large deployments |
| Works inside applications employees already use | Less compelling outside a Microsoft-centered environment |
Pricing
- Regular annual price: $21 per user/month.
- Microsoft is offering an eligible promotional annual price of $18 per user/month through September 30, 2026.
- Additional Microsoft 365 licensing requirements apply.
Our verdict: Microsoft 365 Copilot Business makes the strongest case for organizations already running much of their work through Microsoft 365. Its main value comes from applying AI within that existing environment rather than functioning as an isolated chatbot.
Zapier Agents
Best for no-code cross-app AI automation
Zapier Agents focus on AI that can perform work across connected applications. Agents can use business information, access the web, and carry out configured actions without forcing the entire process into one vendor ecosystem.
The no-code approach makes agentic automation more accessible to teams that do not want to build custom software. Its integration breadth is also useful when a process needs to move between unrelated SaaS applications.
Activity-based pricing deserves attention as automations become more complex. One agent workflow can consume several activities, so businesses running high-volume processes should estimate usage before relying on the entry price.
Standout features
- Cross-app agents: Perform work across applications in Zapier’s integration ecosystem.
- Live business data: Agents can use information from connected systems.
- Web access: Supports workflows requiring information from the web.
- No-code configuration: Lets users define agent behavior without building a custom application.
Pros and cons
Pros | Cons |
| Accessible to teams without dedicated developers | Activity usage can raise costs as automation expands |
| Useful when workflows span unrelated applications | Complex agents require careful permissions and instructions |
| Free plan supports experimentation | Traditional automation can be more efficient for predictable tasks |
Pricing
- Free: $0 with up to 400 activities per month.
- Pro: $400/year, equivalent to $33.33/month, with up to 1,500 activities per month.
- Enterprise: Custom pricing and activity allowances.
Full plan details are available on Zapier’s pricing page.
Our verdict: Zapier Agents is best suited to teams that want AI to make decisions and take actions across a mixed SaaS stack without building their own agent infrastructure. High-volume workflows require closer attention to activity consumption.
Salesforce Agentforce
Best for CRM-driven AI agents
Salesforce Agentforce brings AI agents into workflows built around Salesforce CRM data. Customer-facing and employee-facing agents can use business information and configured processes to answer questions and carry out permitted actions.
Agentforce Builder and Prompt Builder give organizations tools for defining agent behavior, while existing Salesforce workflows, APIs, and data provide the operating context.
Current Gartner Peer Insights feedback on Agentforce supports its value for automating processes inside Salesforce while also showing that sophisticated deployments can require additional configuration expertise.
Standout features
- CRM-connected agents: Works with Salesforce customer, sales, and service information.
- Agent-building tools: Provides tools for configuring prompts, jobs, actions, and behavior.
- Salesforce workflow integration: Can use existing CRM processes and connected services.
- Consumption monitoring: Digital Wallet helps administrators track usage.
Pros and cons
Pros | Cons |
| Deep access to Salesforce CRM data and workflows | Best fit for organizations already invested in Salesforce |
| Supports employee- and customer-facing agents | Advanced configurations can require specialist expertise |
| Several purchasing models are available | Consumption-based pricing takes more work to forecast |
Pricing
Agentforce pricing varies by purchasing model and usage.
- Salesforce Foundations: $0 add-on for eligible Enterprise Edition and higher customers.
- Flex Credits: $500 per 100,000 credits.
- Conversations: $2 per conversation.
- Agentforce User License: $5 per user/month plus Flex Credits.
A standard Agentforce action consumes Flex Credits, so buyers should estimate expected action volume rather than comparing only the starting price.
Our verdict: Agentforce fits businesses that want AI working directly with Salesforce records and processes. CRM integration is its main advantage, while configuration and consumption costs become more important as deployments expand.
ServiceNow AI Platform with Otto
Best for enterprise service workflows
ServiceNow Otto is the company’s unified AI experience across the ServiceNow AI Platform. Instead of functioning only as a conversational assistant, it can participate in structured workflows involving company data, permissions, policies, service requests, and approval chains.
The broader ServiceNow AI Platform supports AI agents and workflow automation across IT, employee, customer, and operational processes. That makes the platform more relevant to organizations already managing formal service workflows than to businesses simply looking for a general-purpose AI assistant.
Current Gartner Peer Insights reviews support the value of embedding AI in existing service workflows while also highlighting the implementation effort that can accompany complex data, permissions, and configurations.
Standout features
- Unified AI experience: Brings ServiceNow AI capabilities into one interface.
- Agentic workflows: Supports AI agents and multi-step enterprise processes.
- Enterprise orchestration: Connects AI with service workflows, policies, approvals, and permissions.
- Tiered capabilities: ServiceNow offers different AI levels for varying deployment requirements.
Pros and cons
Pros | Cons |
| Deep fit with structured ServiceNow processes | No simple public list price |
| Uses existing workflow permissions and approvals | Most relevant to existing ServiceNow customers |
| Supports complex cross-department workflows | Implementation can require substantial configuration |
Pricing
ServiceNow does not publish a single standard price for Otto or the complete AI Platform. Pricing depends on the products, users, AI capabilities, and deployment requirements involved. ServiceNow outlines its available AI offerings in its AI tier documentation.
Our verdict: ServiceNow AI Platform with Otto fits large organizations that already manage substantial service workflows through ServiceNow and want AI participating directly in those processes. Smaller companies may be considering more platform than they need.
IBM watsonx.ai
Best for hybrid enterprise AI development
IBM watsonx.ai serves technical teams building and deploying AI applications. The platform supports foundation models, machine learning, retrieval-augmented generation, model customization, APIs, and production deployment.
Support for hybrid environments makes watsonx.ai especially relevant to organizations working across cloud and existing enterprise infrastructure. Its RAG capabilities can connect models with enterprise information, while model customization tools help teams adapt models to specific business requirements.
Current Gartner Peer Insights reviews point to its enterprise development and deployment capabilities while also raising concerns about the learning curve, integration complexity, and costs at higher usage levels.
Standout features
- Enterprise AI development: Supports generative AI and machine-learning applications.
- RAG: Connects models with enterprise information.
- Model customization: Provides tools for adapting models to business requirements.
- Hybrid deployment: Supports enterprise environments spanning different infrastructure models.
Pros and cons
Pros | Cons |
| Built for custom enterprise AI development | More technical than packaged employee AI tools |
| Supports RAG, customization, APIs, and deployment | Setup and integration can require specialist skills |
| Hybrid deployment provides additional flexibility | Usage charges can make costs harder to predict |
Pricing
IBM watsonx.ai pricing includes free and usage-based options, with higher tiers for larger deployments.
- Free Toolbox: Limited free allowance for evaluation.
- Essentials: Starts at $0/month plus usage.
- Standard: Starts at $1,110/month plus usage.
- Model inference, fine-tuning, hosting, machine learning, extraction, and other services can add usage charges.
Our verdict: watsonx.ai fits technical teams that need to build, customize, and deploy AI applications across enterprise environments. Hybrid flexibility makes it especially relevant for organizations balancing cloud services with existing infrastructure.
Tidio Lyro AI Agent
Best for SMB customer-service automation
Tidio Lyro AI Agent focuses on automating customer support rather than trying to handle every type of business work. It can answer questions from company knowledge, transfer conversations to human agents, and connect with other business systems.
Tidio’s guidance on building and integrating Lyro shows how the agent can connect with platforms such as Salesforce and Zendesk, as well as APIs and MCP. Those connections allow Lyro to retrieve information and participate in backend workflows instead of functioning only as a website chatbot.
Tidio has a large small-business review base on G2, where ease of use is a recurring strength. Pricing and limitations around more complex functionality also appear among user concerns, supporting its fit for smaller support operations.
Standout features
- Knowledge-based support: Uses business information to answer customer questions.
- Human handoff: Transfers conversations when automated support is not enough.
- CRM and support integrations: Connects with other customer-service systems.
- API and MCP support: Extends the agent into backend data and workflows.
Pros and cons
Pros | Cons |
| Accessible option for smaller support teams | Narrower scope than enterprise service platforms |
| Supports human escalation and backend integrations | Costs increase with conversation volume |
| Large small-business user base | More complex workflows may require higher plans or additional setup |
Pricing
Tidio pricing is based partly on the number of Lyro conversations included.
- The first 50 Lyro conversations are free for the lifetime of the account.
- Annual billing: Starts at $32.50/month for 50 monthly conversations.
- Monthly billing: Starts at $39/month for 50 monthly conversations.
- Higher conversation allowances are available.
Our verdict: Lyro fits small and midsize businesses that want focused AI customer-service automation without adopting a large enterprise platform. Buyers should estimate expected support volume because paid usage is tied directly to AI conversations.
Fathom
Best for meeting intelligence
Fathom records, transcribes, summarizes, and organizes meetings so employees can search conversations and turn discussion into follow-up work. The free individual plan includes unlimited recordings and transcriptions, while team plans add shared search, collaboration, CRM workflows, and additional meeting intelligence.
Fathom also has a particularly strong independent review base. In G2’s comparison of Fathom and Fireflies.ai, Fathom has higher user scores across several meeting-assistant capabilities, including summaries, action-item extraction, team access, search, integrations, and administration.
Standout features
- Unlimited capture: The individual free plan includes unlimited recordings and transcriptions.
- AI summaries: Produces summaries and follow-up information from conversations.
- Team search: Paid team plans make shared calls easier to search and review.
- CRM workflows: Higher plans add CRM-related features, team management, and meeting intelligence.
Pros and cons
Pros | Cons |
| Large and highly positive independent review base | Some advanced AI functionality requires paid plans |
| Unlimited recordings and transcriptions for individual free users | Team plans require paid seats |
| Strong summaries, search, and follow-up workflows | Meeting recording requirements may not suit every organization |
Pricing
Fathom pricing varies by plan and team size.
- Free: $0 for individuals.
- Premium: $16 per user/month billed annually.
- Team: $15 per user/month billed annually, with a two-user minimum.
- Business: $25 per user/month billed annually, with a two-user minimum.
- Enterprise: Custom pricing.
Our verdict: Fathom is a strong choice for meeting intelligence thanks to its transcription tools, useful team features, and solid user feedback. The free plan suits individual users, while paid tiers add more collaboration, search, and CRM tools for teams.
How to choose AI software for your business
Start with the job you want AI to handle. A tool built for research and analysis will have different strengths from one designed for customer support, CRM automation, IT service management, or application development. Specialized needs such as writing, video, voice, and project management are better compared within their own categories.
Next, decide how much you want the software to do on its own. An assistant may draft, summarize, or analyze, while an AI agent can retrieve records, update systems, and complete multi-step tasks. Greater autonomy makes permissions, approvals, audit trails, and human oversight more important.
Your existing software can narrow the choices. Microsoft 365 Copilot fits naturally into Microsoft environments, while Agentforce and Otto are closely tied to Salesforce and ServiceNow. Zapier is more useful when a workflow spans several unrelated applications.
Companies building custom AI applications should also consider model choice, RAG, APIs, deployment options, and hybrid infrastructure. Pricing deserves a closer look too, since Agentforce uses credits and conversations, Zapier meters activities, Tidio charges by AI conversation volume, and IBM can add model and infrastructure costs.
Before a wider rollout, test the software with a real workflow. Check whether it produces reliable results, works well with existing systems, requires frequent human intervention, and stays within the expected budget.
Frequently asked questions
What is AI software for business?
AI software for business uses artificial intelligence to assist with or automate workplace tasks. The category includes general-purpose assistants, productivity software, creative applications, AI agents, customer-service systems, meeting intelligence, CRM automation, and enterprise AI-development platforms.
What is the difference between an AI assistant, AI agent, and AI platform?
An AI assistant primarily helps users complete tasks such as research, writing, analysis, or answering questions. An AI agent can also retrieve information, use tools, and take permitted actions across connected systems. An AI platform provides infrastructure for building, deploying, managing, or governing AI applications and agents.
The boundaries increasingly overlap as vendors add agent capabilities to assistants and development features to broader platforms.
How much does AI software for business cost?
Business AI ranges from free plans to custom enterprise contracts. General-purpose applications often charge per user, while agent platforms may bill by activities, actions, credits, or conversations. AI-development platforms can also charge for inference, compute, hosting, and other infrastructure.
The advertised starting price should therefore be compared with the amount and type of usage a business expects in production.
Should a business use general-purpose or specialized AI software?
General-purpose AI works well when employees need assistance across several kinds of work. Specialized products become more relevant when a workflow requires deeper integrations, domain-specific capabilities, structured automation, or operational controls.
The choice depends on the job the AI needs to perform and how closely it must connect to existing business systems.
Can businesses use multiple AI tools together?
Yes. Multiple products can work well when each has a clearly defined role. Microsoft 365 Copilot might support productivity workflows, Fathom can handle meeting intelligence, and Agentforce can automate CRM processes without creating substantial functional overlap.
Problems arise when several products are licensed for nearly identical tasks without a clear reason for keeping each one.
What should businesses check before connecting AI to company data?
Review which information the software can access, how permissions are enforced, whether administrators can restrict integrations, how data is retained, and whether activity is logged.
Check vendor policies around customer data and model training before deployment.
Regulated organizations may need to verify deployment location, hosting requirements, and feature availability in approved environments.
AI software is becoming part of the business stack
AI software is moving from standalone experimentation into the applications and workflows businesses already use. The most useful products are not necessarily those with the longest feature lists, but those that fit a defined job, connect to the right information, and provide the level of control the organization needs.
Start with the business workflow, then compare products that address it directly. Specialized eWEEK guides can narrow the choice further when the requirement falls into a category such as generative AI, writing, video, meetings, voice, productivity, or project management.
If you want to explore the companies shaping this market, check out eWEEK’s guide to the top AI companies in 2026.