Agentic Workflows

Agents as Role Memory Consumers

The accumulated role memory in RolegacyAI is not only for human successors. Autonomous AI agents — whether general-purpose assistants or purpose-built for specific workflows — can access role memory as a grounded knowledge base, using it to complete tasks that previously required the outgoing role holder to be available and willing to answer questions.

Agentic workflows represent the active layer of role memory: not just storing and retrieving knowledge, but using it to do useful work during the transition period and beyond.

Successor Onboarding Agent

The most direct agentic workflow is a successor onboarding assistant. When a successor joins a role, an agent backed by the role's memory store can answer operational questions ("Where does the Jira–SAP reconciliation process live?"), surface relevant context proactively ("It's month-end this week — here is the workaround for the sync issue"), and guide the successor through their first 30-day action plan based on the generated brief.

This agent does not improvise. It draws on validated role memories, cites its sources, and flags uncertainty when the available memory does not provide a clear answer — directing the successor to verify with a stakeholder rather than generating a plausible but unsupported response.

Transition Coordinator

During an active role transition, an agent can coordinate the handover process: tracking which knowledge domains have been covered in handover meetings, identifying remaining gaps against the coverage score, generating targeted questions for the outgoing holder to answer before they leave, and ensuring that high-priority memory entries are validated before the departure date.

Knowledge Gap Filler

Where coverage gaps are identified in the role memory, an agent can be deployed to fill them proactively. The agent generates targeted questions for the current role holder — structured prompts derived from the coverage gap analysis — and guides a structured knowledge elicitation session that produces new, validated memory entries.

Context Provider for Other AI Tools

Agentic workflows extend beyond RolegacyAI itself. Through the API integration layer, role memory can be exposed to other AI tools in the organisation's stack — providing a Copilot, a coding assistant, or a project management AI with role-specific context that grounds its responses in the actual operational knowledge of the person it is assisting. As role holders use AI tools with role memory as context, the tools become more capable over time — and the capability transfers to their successor.

Authorisation Model

Agents operating within RolegacyAI act under the authorisation of the role holder or the organisation's administrator. Agent access to role memory is governed by the same access control policies that apply to human users — an agent cannot retrieve or act on memory that the requesting user would not be authorised to see. Agent actions are logged in the audit trail alongside human interactions.