A platform that designs, deploys, and monitors AI agents inside enterprise workflows across systems like Salesforce, SAP, and Workday.
Added Jun 4, 2026
Last signal 2d ago
Enterprises are trying to turn AI agents from prototypes into production systems that actually operate within complex customer and employee workflows. The postings repeatedly point to custom integration, workflow redesign, and production readiness as hard problems that currently require forward deployed engineers, solution engineers, and technical delivery teams.
AgentFlow would provide a workflow orchestration layer for mapping business processes, connecting enterprise systems, deploying agent actions, and monitoring outcomes. It would include templates for common enterprise workflows, approval gates for human-in-the-loop execution, and observability for agent performance across customer ecosystems.
Companies are actively hiring teams to build agentic workflows directly with customers, suggesting demand has moved beyond experimentation into deployment. The rise of multi-agent systems and enterprise AI platforms creates urgency for tooling that makes these workflows scalable and reliable.
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Design and deploy AI agents that can analyze data, support decision-making, and execute actions across connected systems. Build automation workflows that integrate applications, APIs, data sources, and enterprise platforms such as MES, ServiceNow, SharePoint, and reporting systems.
Build automation workflows that integrate applications, APIs, data sources, and enterprise platforms such as MES, ServiceNow, SharePoint, and reporting systems. Develop scalable approaches for agent orchestration, deployment, monitoring, and continuous improvement.
Collaborate with cross-functional teams to deliver high-quality features aligned with business and customer needs. Integrate AI agents, workflow automation, and conversational experiences into enterprise applications.
* Build multi‑step agent pipelines that combine rules, ML models, and reasoning components to solve complex business problems. * Integrate agentic systems with enterprise data, ML models, and applications to enable intelligent automation and decision support.
Identify opportunities for Generative AI, Agentic AI, and workflow orchestration Design end-to-end integrations across SAP, Ariba, UiPath, Microsoft Power Platform, and AI platforms
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