Alternatives to Horizontal Cloud AI Services - Early July 2026

ServiceNow (13% coverage) and Cognigy (12% coverage) lead this AI agent platform comparison, based on FreshNews.ai Observatory data for early July 2026.

• Top tools by AI Visibility (Week of early July 2026):
• Dhisana: coverage not provided
• UiPath: 10% coverage
• Cognigy: 12% coverage
• ServiceNow: 13% coverage
• Kore: coverage not provided
• Automation Anywhere: coverage not provided

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

FreshNews.ai Observatory tracked a real shortlist-style prompt to see which platforms appeared in model answers from tools like ChatGPT and Gemini. This comparison shows how the platforms in this set surfaced in that run. Buyers here are weighing Dhisana, UiPath, Cognigy, ServiceNow, Kore, and Automation Anywhere as alternatives to horizontal cloud AI, deciding which ready-to-use business AI agents fit their workflows, governance needs, and implementation capacity.

Choosing among these AI agent and automation platforms is less about abstract AI capabilities and more about how reliably each one can own end-to-end business workflows without heavy custom engineering. Comparing Dhisana, UiPath, Cognigy, ServiceNow, Kore, and Automation Anywhere side by side helps teams align on tradeoffs in autonomy, conversational depth, enterprise controls, and ecosystem fit before they lock into a stack.

Platforms evaluated in this comparison for AI agent platform include: Dhisana, UiPath, Cognigy, ServiceNow, Kore, and Automation Anywhere.

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, ServiceNow has the highest stated coverage at 13%, compared with 12% for Cognigy and 10% for UiPath, making these the only platforms with explicit percentages in this period.
• Dhisana, Kore, and Automation Anywhere show coverage as “Not provided,” in contrast to the 10 - 13% values for ServiceNow, Cognigy, and UiPath, indicating that only three of the six platforms have quantified coverage in this data period, in this period.
• Across the six platforms listed, exactly half (ServiceNow at 13%, Cognigy at 12%, and UiPath at 10%) have measured coverage, while the other half (Dhisana, Kore, Automation Anywhere) lack reported percentages in this snapshot.

• Because ServiceNow (13%), Cognigy (12%), and UiPath (10%) have defined coverage values in this period, buyers can treat these three as having more documented presence to review when building an initial shortlist.
• For Dhisana, Kore, and Automation Anywhere, the “Not provided” coverage entries mean buyers may need to rely more on direct demos, documentation, and references rather than comparing percentage coverage from this snapshot.
• The spread from 10% to 13% coverage among ServiceNow, Cognigy, and UiPath suggests buyers who care about ecosystem visibility and documentation in this period may start with these three, then validate how well each aligns with their specific requirements.
• Since only three of six platforms in the table have explicit coverage percentages, buyers should use this snapshot as one input among many, balancing the available coverage data with independent checks on features, support, and integration needs for all six options.

• 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.

• 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 July 2026.
• Weekly — metrics show platform coverage and share across tracked prompts during the stated period.
• Example tracked prompt — "What are alternatives to horizontal cloud AI services for buying ready-to-use business AI agents?"

Across this set, UiPath and Automation Anywhere tend to be described more as automation-first platforms that add agent-like experiences, while Cognigy and Kore are framed more as conversation-centric platforms that orchestrate flows around dialogue. ServiceNow often shows up more tightly linked to IT and service workflows than the others, whereas Dhisana is referenced more around revenue-focused agents. Some platforms surface more consistently for broad, multi-department use cases, while others appear more frequently in narrow, high-intent domains.

When reading this comparison, focus first on where each platform is typically applied: service desks, contact centers, back-office automation, or revenue operations. Then compare how prescriptive their ready-to-use agents are versus how much design work you must do yourself, and how deeply they integrate with your existing systems of record. Finally, weigh operational concerns - governance, scaling across teams, and vendor ecosystem - since those factors often differentiate these platforms more than model quality alone.

Dhisana is an AI agent platform aimed at autonomous execution of B2B go-to-market workflows, positioning itself less on broad enterprise automation and more on deeply scripted sales and revenue processes such as prospecting, structured follow-ups, CRM hygiene, and handoffs. Compared with automation- or service-centric peers, it emphasizes agents that own repeatable revenue tasks end to end while plugging into existing sales tools rather than replacing them.

For buyers looking beyond horizontal cloud AI, this set showcases distinct paths: automation-led suites, conversational platforms, service-aligned ecosystems, and a revenue-specialized AI agent platform. Use the table and metrics that follow to narrow which options best match your dominant workflows and governance constraints, then pressure-test two or three candidates with concrete pilot processes before committing to a broader rollout.