Alphabetical, not ranked. Membership includes primary and secondary research categories. These products have different scopes; inspect the evidence profile before comparing capabilities.
Also covers this layer
German process-orchestration vendor's capability for embedding AI agents into BPMN processes, exposing BPMN activities inside ad-hoc sub-processes as LLM-selectable tools while human tasks and deterministic rules stay in the same model. Fine-grained authorization exists at cluster level; audit logging for agent decisions is not documented.
hybrid · Research snapshot 2026-09-06
- Ask for a demonstration
- Demonstrate a BPMN process where an AI agent selects tools inside an ad-hoc sub-process but a human task must complete before the payment activity runs.
Read sources and limitations →
Primary category
Directory publisher · Advisor pilot
Advisor-led workspace that maps a team's people, duties, tasks and software into a work record, then proposes agent delegation boundaries with a named accountable owner and review checkpoint. Intended for advisors and business sponsors. Currently an advisor pilot recruiting 5-10 companies; governance views are shown as a fictional sample.
commercial · Research snapshot 2026-09-06
- Ask for a demonstration
- Show a participant-reviewed task card reaching the advisor queue, and demonstrate how an unresolved approval owner stays visible in the company graph.
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Primary category
Extension of Planview's portfolio resource model that treats AI agents as resources alongside people, so leaders can plan and allocate blended human and agent capacity across strategic work, track associated cost, and tie each agent action back to an accountable human decision-maker. It is planning and accountability tooling, not an agent runtime.
commercial · Research snapshot 2026-09-06
- Ask for a demonstration
- Show me a portfolio view where agent and human capacity are planned together, with the cost of agent work and the named human accountable for each agent's assignments.
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Also covers this layer
UiPath's cloud orchestration layer that coordinates AI agents, RPA robots and people in BPMN, Flow or case-management models, with DMN decision tables. Governance is process-centric: role-based access, versioning and auditing of process and decision changes, rather than per-tool-call approval policy for agents.
commercial · Research snapshot 2026-09-06
- Ask for a demonstration
- Demonstrate a Maestro BPMN process where an agent step hands an exception to a person, and show the versioned, audited history of the decision table change.
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Primary category
European platform that inserts human approval into AI agent workflows: agents submit an operation via API, SDK or an MCP server integration, policies assess it, and low-risk requests auto-approve while higher-risk ones route to named human reviewers who approve, reject or request changes, with an audit trail. Reviewer coverage depends on integration work.
commercial · Research snapshot 2026-09-06
- Ask for a demonstration
- Show me an agent tool call blocked at the MCP approval gate, the policy that routed it to a human, and the audit record of the reviewer's decision and reason.
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Primary category
Orchestration environment in Verint's CX platform for building and running a mixed workforce of human and AI agents: prebuilt and custom AI agents are connected to customer-experience workflows with explicit routing to humans when judgment is needed, plus centralized prompt and model governance. Scope is contact-centre work, not general enterprise task delegation.
commercial · Research snapshot 2026-09-06
- Ask for a demonstration
- Demonstrate a CX workflow where an AI agent hands off to a human agent, and show how the handoff condition and the governing prompt policy are configured.
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Also covers this layer
Workday functional area for cataloguing and administering an organisation's AI agents - Workday's own and third-party - with dedicated security domains for agent management, agent compliance and agent reporting. It is a registry and administration layer configured per tenant; evidence reviewed does not show detection of agents outside what is registered.
commercial · Research snapshot 2026-09-06
- Ask for a demonstration
- Demonstrate registering a third-party agent in ASOR and show the agent reporting and agent compliance views an auditor would rely on.
Read sources and limitations →