Assistant
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Assistant is the operational workspace for assistant within assistant and agent operations, where teams manage concrete records, dependencies, and execution decisions rather than static summaries. The business and compliance goal is to keep governed rag assistant aligned with approved claims, consent controls, market rules, and audit evidence at every step. This page presents role-scoped actions, linked downstream impacts, and policy-aware guardrails so users can work quickly without violating promotional or safety obligations. Next, use this assistant workspace to execute governed tasks and route outcomes to connected teams.
Access Boundaries
SSO + RBAC/ABAC controls are evaluated by brand, market, function, agency zone, and risk tier before actions are enabled.
Operational Focus
- Ground output in approved sources only.
- Expose confidence and classification.
- Route outputs to MLR when needed.
What To Do Next
- Run governed prompt.
- Review cited sources.
- Request MLR review on output.
Assistant Prompt Studio
Run grounded assistant prompts using approved content with citations, confidence, and output classification.
| ID | Title | Market | Owner | Status | Risk | Related |
|---|---|---|---|---|---|---|
| ASST-0001 | Assistant · Prompt run 1 | SG | AI Ops | Escalated | Critical | Agent HubMLR Queue |
| ASST-0002 | Assistant · Grounding source 2 | US | Medical | Draft | Low | Agent HubMLR Queue |
| ASST-0003 | Assistant · Classification outcome 3 | CA | Compliance | In Review | Moderate | Agent HubMLR Queue |
| ASST-0004 | Assistant · Review request 4 | UK | AI Ops | Approved | High | Agent HubMLR Queue |
| ASST-0005 | Assistant · Prompt run 5 | DE | Medical | Active | Critical | Agent HubMLR Queue |
| ASST-0006 | Assistant · Grounding source 6 | FR | Compliance | Blocked | Low | Agent HubMLR Queue |
| ASST-0007 | Assistant · Classification outcome 7 | IT | AI Ops | Escalated | Moderate | Agent HubMLR Queue |
| ASST-0008 | Assistant · Review request 8 | ES | Medical | Draft | High | Agent HubMLR Queue |
| ASST-0009 | Assistant · Prompt run 9 | JP | Compliance | In Review | Critical | Agent HubMLR Queue |
| ASST-0010 | Assistant · Grounding source 10 | AU | AI Ops | Approved | Low | Agent HubMLR Queue |
| ASST-0011 | Assistant · Classification outcome 11 | BR | Medical | Active | Moderate | Agent HubMLR Queue |
| ASST-0012 | Assistant · Review request 12 | MX | Compliance | Blocked | High | Agent HubMLR Queue |
Page-Specific Data
Assistant data logs grounded prompts, citations, classification, confidence, and review requests. Current page path: /assistant.
Relationship Graph
Linked entities are enabled so users can traverse parent-child dependencies and downstream impacts without manual lookup.
Assistant Tools
Run RAG query against approved sources.
Inspect citation/source usage and confidence.
Route generated output for review.
| Execution Step | Owner | ETA |
|---|---|---|
| Validate input | Ops | 5m |
| Policy checks | Compliance | 8m |
| Route next action | Workflow | 3m |
Governed Assistant Output
Grounding sources include approved claims, PI/SmPC requirements, references, strategy docs, and previously approved assets. Responses include citations, confidence, output classification, request-MLR CTA, and prompt-output audit logs.
Agent Hub
Model-agnostic registry, tool permissions, policy checks, and human-in-the-loop approvals are deterministic for local demo runs.
Model Registry
- mdl-gpt-enterprise · OpenAI · high
- mdl-claude-enterprise · Anthropic · high
- mdl-local-llama · Self-hosted · sandbox
Sample Run
Risk Flags: Missing fair balance in social template (resolved), off-label drift score 0.03 (pass), unapproved claim attempt blocked.
Human Approval Phase: Medical reviewer sign-off required before output release.
Final Artifact: Routed to `/mlr/queue` with note `Awaiting final promotional approval`.
Audit Entry: EVT-AI-2026-02-24-04122 recorded with tool permissions snapshot.
- AST-00431: HCP Efficacy Leave-behind v3
- CLM-0214: Primary endpoint response claim
- REF-0550: SmPC Section 4.8 safety reference
Agent Catalog
Governance Notes
- Every approval, publication, policy block, and AI output writes an audit event.
- Consent and frequency caps are evaluated before deployment packaging.
- Expiry and withdrawal controls maintain cross-channel evidence status.
- Safety routing is always flag-and-route with human adjudication.