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Digital Workforce: Enterprise-Ready AI with Ecosystem Integrations
Soul Machines · Director of Product
Built a new enterprise AI product line from scratch, repositioning digital people as the empathetic face of agentic AI and landing five enterprise deals and a ServiceNow Innovation Award within its first year.





Context
By 2023 to 2024, enterprises were looking beyond pilots and demos: they wanted deployable, scalable AI workers that could integrate into their existing systems (CRM, ITSM, ERP). At Soul Machines, I led the creation of the Digital Workforce product line, an enterprise-ready extension of our platform built around partner ecosystem integrations (Salesforce, ServiceNow, Zapier). This work involved reframing our category positioning as the empathetic face and embodiment layer for agentic AI, essentially an open, composable interaction layer that enterprises could buy and govern within their existing infrastructure. Our regulated-sector fit was particularly strong, with approximately 64% of our prior customer logos coming from Financial Services, Healthcare, and Education, giving us a proven procurement and compliance path that aligned perfectly with enterprise requirements.
Challenges
- From demo to deployment: earlier versions of digital people were compelling but lacked enterprise-grade integration.
- Procurement barriers: selling required procurement-ready packaging (apps in enterprise stores, entitlements, pricing clarity).
- Partner ecosystem: success depended on showing our product could live inside Salesforce, ServiceNow, and other enterprise workflows.
- Category clarity: needed to prove Digital Workforce was more than avatars; it was a scalable layer of agentic AI for enterprises.
- Security and procurement readiness: needed marketplace presence, standard entitlements and limits, SLAs, and partner IT/security packs.
What I did
- Defined the strategy: positioned Digital Workforce as a 0 to 1 enterprise product line focused on extensibility and partner ecosystems. I applied Todd Jackson's 4 P's framework (Persona, Problem, Promise, Product) to systematically work toward product-market fit, starting with deep enterprise persona research and becoming experts in the specific integration problems facing Fortune 500 companies.
- Customer validation: ran enterprise demos, discovery, and co-design sessions with Fortune 500 clients to shape roadmap and prove value.
- API-first approach: re-architected product surfaces into primitives that could plug into Salesforce, ServiceNow, and Zapier.
- Enterprise store apps: oversaw the development, packaging, and GTM of packaged extensions (including AgentExchange, ServiceNow Store app) to streamline adoption and procurement.
- Cross-functional leadership: aligned PMs, Eng, Design, and GTM around entitlements, packaging, and SLA definitions.








Results
- Enterprise adoption: landed 5 new enterprise deals in 2025 directly tied to the Digital Workforce offering.
- Ecosystem traction: shipped a coherent AI Workforce platform with three enterprise apps (AgentExchange, ServiceNow Agent Store, Zapier) and a REST API so customers embed value where work happens.
- Market validation: won the ServiceNow Innovation Award (2025) and was selected as a company to watch at the ServiceNow Global Partner Summit.
- Strategic impact: reframed company positioning around agentic AI and the human face layer, with Digital Workforce as the enterprise-ready embodiment.
- Scalability: created a series of high-value use-case templates for repeatable integrations, setting the foundation for client success.