It is an executive working session where GBS, SSC, SSO, Shared Services, Service Delivery, Transformation, and Operations leaders design an AI Employee blueprint around one real workflow from their function on a live enterprise platform.

An RPA bot follows a fixed script it clicks, copies, and pastes. When data changes or exceptions appear, it breaks. A chatbot answers questions but does not take action on backend systems. An AI Employee reads documents, reasons through exceptions, interacts with enterprise applications (SAP, ServiceNow, Workday), applies business rules, involves humans where approval is needed, and closes the loop autonomously. It is closer to a digital team member than a tool.

You will not write code. You will identify one real process from your operations — say, invoice exception handling or IT ticket triage and work with the Supervity team to map the full workflow: what triggers it, which systems are involved, what data the AI Employee reads, what action it takes, where a human approves or overrides, and what business outcome it produces. You leave with a scoped operator agent design your team can evaluate for a pilot.

Most enterprise AI initiatives stall at proof-of-concept because they lack a clear process scope, a production-ready platform, and leadership alignment on what “success” looks like. This bootcamp compresses that into one session: you arrive with a specific process, map it to an AI Employee, define the approval points and success metrics, and leave with a 30-day recommendation your team can actually act on.

Supervity AI Employees operate under a Human-in-Command framework. Every AI Employee runs with defined AI Policies no-code business rules that control what it can and cannot do. All actions are logged, auditable, and explainable. Human approval is built into the workflow wherever your organisation requires it. The platform is ISO 27001 certified and SOC 2 Type 2 audited, with RBAC, SSO, and enterprise-grade encryption.

The platform integrates with major enterprise systems including SAP, Oracle, ServiceNow, Workday, Salesforce, Microsoft 365, and custom APIs. Daikin’s AP AI Employee, for example, runs directly on SAP across four countries. Your AI Employee design in the bootcamp will account for the specific systems your team works with.

A typical deployment takes 8–12 weeks from scoping to go-live. The bootcamp gives you the first step: a scoped use case, a mapped workflow, and a 30-day recommendation. From there, a pilot can start within weeks.

Complete the registration form with your role, company, and the workflow you'd like to work on. You'll receive confirmation and session details by email.