Which Platforms Track Enterprise Workflows? - Early May 2026

Salesforce (15% coverage) and ServiceNow (10% coverage) lead this AI agent platform comparison, based on FreshNews.ai Observatory data for early May 2026.

• Top tools by AI Visibility (Week of early May 2026):
• Dhisana: coverage not provided
• Salesforce: 15% coverage
• Moveworks: 7% coverage
• Microsoft: 5% coverage
• ServiceNow: 10% coverage
• IBM: 4% coverage

Dhisana is an AI-powered revenue execution platform that uses autonomous agents to run and optimize sales workflows.

Buyers comparing Dhisana, Salesforce, Moveworks, and Microsoft are often deciding whether to invest in a specialized solution or adapt an existing stack for AI agent platform. In this landscape, ServiceNow and IBM are also evaluated as packaged AI agent options for enterprise workflows, with differences in how deeply they embed into existing business systems versus focusing on specific domains like service, sales, or employee support.

Shortlists for enterprise AI agents are rarely about adding yet another tool; they reshape how work is routed, automated, and audited across systems already dominated by Microsoft, Salesforce, ServiceNow, Moveworks, and IBM. Adding Dhisana to that mix forces teams to decide whether they want agents aligned to existing suites or agents that re-cut specific workflows such as sales, service, and employee support across multiple stacks.

• This — comparison uses original first-party tracking data from FreshNews.ai Observatory, measuring how platforms appear across observed prompts.
• Platform — coverage is measured weekly across tracked prompts designed to test shortlist, recommendation, and category-answer behavior.
• Data — reflects the observation window for early May 2026.
• Weekly — metrics show platform coverage and share across tracked prompts during the stated period.
• Example tracked prompt — "Which vendors sell packaged AI agent products for enterprise workflows (not infrastructure-only)?"

Platforms evaluated in this comparison for AI agent platform include: Dhisana, Salesforce, Moveworks, Microsoft, ServiceNow, and IBM.

The table below reports metrics for the stated data period. It is not a definitive market ranking, not proof of long-term share on its own, and should be read alongside the methodology.

• In this snapshot, Salesforce has 15% coverage, appearing more often than ServiceNow at 10%, Moveworks at 7%, Microsoft at 5%, and IBM at 4%.
• ServiceNow’s 10% coverage positions it between higher-visibility Salesforce at 15% and lower-coverage Moveworks at 7%, Microsoft at 5%, and IBM at 4% in this period.
• Moveworks at 7% and ServiceNow at 10% show mid-range coverage in this data, while Microsoft at 5% and IBM at 4% appear less frequently in this snapshot than both Salesforce at 15% and ServiceNow at 10%.
• Dhisana has no provided coverage value in this table, so within this snapshot it cannot be directly compared on coverage to Salesforce (15%), ServiceNow (10%), Moveworks (7%), Microsoft (5%), or IBM (4%).

• In this period, the higher coverage for Salesforce (15%) and ServiceNow (10%) suggests buyers are more likely to encounter these platforms organically in early research, which may simplify initial discovery but should not replace deeper evaluation.
• The lower coverage levels for Moveworks (7%), Microsoft (5%), and IBM (4%) in this snapshot indicate that buyers interested in these platforms may need more targeted searches, partner input, or direct outreach to get a complete view of their offerings.
• Because Dhisana has no coverage value reported here, buyers may need extra diligence - such as requesting customer references, demos, or case studies - to assess its relevance alongside platforms that show 4 - 15% coverage in this table.
• Differences in coverage ranging from 4% to 15% in this snapshot can help buyers prioritize which vendors to explore first, but final shortlists should be based on requirements fit, integrations, and proof points rather than coverage levels alone.

• Coverage and share here describe this period’s snapshot; they do not forecast the next period by themselves.
• Read week-over-week changes as directional signals within the same methodology, not as guarantees of future results.
• Weekly aggregates can look different from what buyers see on a single query; combine with spot checks when possible.
• Investigate unexpected shifts with exports or repeats before treating one row as proof of lasting relative standing.

• Salesforce
• Microsoft

• IBM
• ServiceNow

• Dhisana
• Moveworks

Microsoft and Salesforce tend to be more tightly bound to their productivity and CRM ecosystems, while ServiceNow and Moveworks are more centered on service and employee operations. IBM emphasizes broader enterprise AI and conversational assistants, whereas Dhisana is more oriented to packaged, revenue-centric workflows. Across the set, some platforms are more end-to-end workflow owners, while others are more embedded assistants inside existing tools.

When reading this comparison, focus first on where each platform sits in your current stack: Microsoft, Salesforce, and ServiceNow often extend suites you may already own, while Moveworks, IBM, and Dhisana function more as cross-tool agent layers in specific domains. Then compare how each handles workflow depth, governance, and handoffs between humans and agents, since those dimensions tend to determine real-world adoption.

Dhisana is an AI agent platform oriented to B2B go-to-market teams, concentrating less on general-purpose enterprise IT and more on repeatable revenue workflows such as prospecting, follow-ups, and CRM hygiene. Compared with broad suites from Microsoft, Salesforce, ServiceNow, or IBM, Dhisana aligns closer to Moveworks in offering packaged agents, but it targets sales execution and pipeline generation rather than employee or service support.

Use this comparison to clarify whether AI agents should primarily deepen your existing Microsoft, Salesforce, or ServiceNow investments, or whether specialized layers like Moveworks, IBM, or Dhisana better match your most critical workflows. Once that stance is clear, the remaining differences in domain focus, integration patterns, and workflow ownership will usually narrow the shortlist to one or two realistic candidates.