==================================================
 STORYGEN AI — STORY EXPORT
==================================================
Story ID:           33
Title:              TEST PROCESS HUB
Owner:              Aditya Fitriadi - Full Stack Developer <aditya@educlaas.com>
App Type:           Agentic AI App
Input Type:         text
Status:             draft
Created:            2026-04-30 02:47:28 UTC
Updated:            2026-04-30 02:47:28 UTC
Total Clusters:     0
Total Features:     0

--- ORIGINAL INPUT ---
Process Hub is a central brain, built to run operational processes rather than just documenting them. At its center is an orchestration engine that takes a Standard Operating Procedure and turns it into live, tracked work. Tasks get assigned to verified, available people. Execution is monitored against the SOP in real time. Compliance findings feed back into the process automatically, not through a quarterly review. 

Three modules plug into this engine. Agentic SOP handles how procedures are authored, versioned, and structured. Agentic Resourcing handles who get assigned to a task and whether they are qualified to do it. Agentic Compliance handles what happens when something deviates from the expected path, and how that deviation gets resolved and evidenced. 

There is also an AI layer called AI Foundry. Every AI agent in the system is registered, scoped to specific SOPs, and governed through a policy model before it touches production. Agents do not produce loose outputs. They write back into the system as structured entities: suggestions, proposals, alerts, all requiring human review unless explicitly automated with approval gates. 

The underlying design records every action as a traceable event, tied back to its originating SOP, workflow, and resource. This is what makes the audit trail work. It is not a reporting layer added on top. It is how the system is built. 

The system must support end-to-end SOP authoring, including AI-assisted drafting via a 4W1H template, version control, review and approval workflows, and a compliance gap check against regulatory standards. SOPs must be stored with full version history and linked to departments and job roles. 

Process Hub must be able to instantiate a Workflow Instance from any active SOP version, converting each SOP step into a Task Execution Event with a defined owner, timing, and outcome record. Handoffs between roles and multi-step approval states must be tracked and managed centrally. 

The Agentic Resourcing module must match tasks to people based on skill profiles, current capacity, availability calendars, and compliance eligibility. Where a task is compliance-critical, the system must verify that the assigned person holds the required authorization or certification before the assignment is confirmed. 

The Agentic Compliance module must monitor task execution in real time, generate Compliance Telemetry Events for each executed step, detect deviations from the SOP, and raise Deviation Records and Corrective Action Records when a breach occurs. Findings must give feedback to SOP owners as improvement proposals. 

The AI Foundry layer must maintain a governed registry of AI agents, each scoped to specific SOPs and interaction modes (suggestion-only, semi-automated, or fully automated with approval gates). All agent outputs must be written back into Process Hub as structured entities, not free-form text.

--- USER STORY ---
# Process Hub: Agentic Operational Backbone for SOP-Driven Execution

## Overview
This is an **Agentic AI App**. Process Hub transforms static Standard Operating Procedures (SOPs) into live, executable workflows by orchestrating AI agents and human operators against a shared, audit-grade event log. Rather than documenting how work *should* happen, the system actively runs the work — assigning verified resources, monitoring execution, detecting deviations, and feeding findings back into SOP improvement, all under a governed AI policy model.

## Actors
- **SOP Author / Process Owner**: Drafts, reviews, and approves SOPs; receives improvement proposals from compliance findings.
- **Compliance Officer**: Reviews deviations, approves corrective actions, and signs off on regulatory gap checks.
- **Resource Manager**: Maintains skill profiles, certifications, and availability calendars for the workforce.
- **Task Operator (Human)**: Executes assigned tasks within an active workflow instance and records outcomes.
- **Approver / Reviewer**: Signs off on multi-step approval gates within workflows and on agent-generated proposals.
- **AI Governance Administrator**: Registers AI agents in AI Foundry, scopes them to SOPs, and sets their interaction mode and policies.
- **SOP Authoring Agent** (Agentic SOP): Drafts SOP content using the 4W1H template, runs regulatory gap checks, and proposes versioned edits.
- **Resourcing Agent** (Agentic Resourcing): Autonomously matches tasks to qualified, available people and verifies compliance eligibility before confirming assignments.
- **Compliance Monitoring Agent** (Agentic Compliance): Continuously observes execution telemetry, detects deviations, and raises Deviation Records and Corrective Action proposals.
- **Improvement Feedback Agent** (Agentic Compliance): Synthesizes recurring deviations into structured improvement proposals routed to SOP owners.

## Goals
- **Primary**: Convert SOPs from static documents into orchestrated, monitored, and continuously improving operational workflows.
- Ensure every task is performed by a verified, qualified, and available resource.
- Detect and resolve compliance deviations in real time rather than via retrospective audit.
- Govern all AI agent activity through scoped registration, policy enforcement, and structured write-backs.
- Maintain a complete, immutable audit trail tying every action to its originating SOP, workflow, and resource.

## User Story
As a **Process Owner operating in a regulated environment**, I want **an agentic platform that authors, executes, monitors, and continuously improves my SOPs through governed AI agents and verified human operators**, so that **operational work is consistently compliant, auditable, and self-improving without relying on quarterly manual reviews**.

## Detailed Workflow

### 1. SOP Authoring (Agentic SOP)
1. The Process Owner initiates a new SOP and invokes the **SOP Authoring Agent**.
2. The agent drafts content using the **4W1H template** (Who, What, When, Where, How), pulling context from linked departments and job roles.
3. The agent runs an automated **compliance gap check** against the relevant regulatory standards and flags missing controls as structured suggestions.
4. The Process Owner edits and submits the draft into the **review and approval workflow**.
5. Reviewers approve; the SOP is versioned and stored with full history. Prior versions remain accessible and traceable.

### 2. Workflow Instantiation
6. A trigger (scheduled, event-based, or manual) instantiates a **Workflow Instance** from an active SOP version.
7. The orchestration engine converts each SOP step into a **Task Execution Event** with defined owner role, timing window, and required outcome record.

### 3. Resource Assignment (Agentic Resourcing)
8. The **Resourcing Agent** evaluates each task and ranks candidates by skill profile, current capacity, availability calendar, and compliance eligibility.
9. For **compliance-critical tasks**, the agent verifies the candidate holds the required authorization or certification. If verification fails, the candidate is excluded.
10. If a qualified, available resource is found, the agent confirms the assignment automatically (per its scoped interaction mode). If no candidate meets all criteria, it escalates to the Resource Manager with a structured proposal.
11. Handoffs between roles and multi-step approval gates are tracked centrally as state transitions on the workflow instance.

### 4. Real-Time Execution Monitoring (Agentic Compliance)
12. As Task Operators execute steps, the system records each action as a **Compliance Telemetry Event**.
13. The **Compliance Monitoring Agent** compares telemetry against the SOP's expected path in real time.
14. On detecting a deviation (timing breach, missed step, unauthorized actor, out-of-spec outcome), the agent raises a **Deviation Record** and proposes a **Corrective Action Record**.
15. Deviation Records are routed to the Compliance Officer for review. Severe or unrecoverable breaches **stop the workflow** and require human acknowledgment before resumption.

### 5. Feedback Loop into SOP Improvement
16. The **Improvement Feedback Agent** clusters recurring deviations and authors structured **improvement proposals** linked to the originating SOP.
17. Proposals appear in the SOP Owner's queue as candidate edits — never as silent updates — and feed the next version cycle.

### 6. AI Foundry Governance (Cross-Cutting)
18. Before any agent operates in production, the AI Governance Administrator registers it in **AI Foundry**, scopes it to specific SOPs, sets its **interaction mode** (suggestion-only, semi-automated, or fully automated with approval gates), and binds it to a policy model.
19. Every agent output is written back into Process Hub as a **structured entity** (suggestion, proposal, alert, deviation record) — never free-form text.
20. Outputs requiring human review are queued; only outputs from agents explicitly authorized for full automation bypass review, and even those are logged through approval gates.

## Acceptance Criteria

### SOP Authoring
- Users can draft SOPs using a 4W1H-templated editor with AI-assisted content generation.
- Each SOP supports versioning with full immutable history; prior versions remain retrievable.
- A compliance gap check runs against configured regulatory standards and produces structured findings before approval.
- SOPs are linked to one or more departments and job roles.
- Review and approval workflows are enforced before an SOP becomes active.

### Workflow Execution
- Any active SOP version can be instantiated as a Workflow Instance.
- Each SOP step generates a Task Execution Event with owner, timing, and outcome fields.
- Handoffs and multi-step approval states are visible and managed in a single workflow view.

### Agentic Resourcing
- Task assignments consider skill profile, capacity, availability, and compliance eligibility.
- Compliance-critical tasks cannot be assigned to a person lacking the required certification — the system blocks confirmation.
- When no qualified resource is available, the agent escalates to the Resource Manager with a structured proposal rather than self-resolving.

### Agentic Compliance
- Compliance Telemetry Events are generated for every executed task step.
- Deviations from the SOP trigger Deviation Records within the same execution cycle (not on a delayed batch).
- Each deviation produces a linked Corrective Action Record proposal.
- Recurring deviations generate improvement proposals routed to SOP owners.

### AI Foundry Governance (Agent Guardrails)
- No AI agent can act in production without being registered, scoped to specific SOPs, and assigned a policy model and interaction mode.
- All agent outputs are persisted as structured entities (suggestion, proposal, alert, record) — free-form outputs are rejected.
- Suggestion-only and semi-automated agents require human review before their output takes effect.
- Fully automated agents only bypass review when an explicit approval gate has been pre-authorized for that SOP.
- **Stop conditions**: agents must defer to a human when (a) confidence falls below configured thresholds, (b) a compliance-critical decision lacks verified eligibility data, (c) regulatory gap checks fail, or (d) deviations exceed configured severity.
- **Escalation**: every agent has a defined human escalation target tied to its scoped SOP.

### Audit Trail
- Every action — human or agent — is recorded as a traceable event linked to its originating SOP version, workflow instance, and resource.
- The audit trail is queryable end-to-end without relying on a separate reporting layer.

## Assumptions & Constraints
- The organization maintains accurate skill profiles, certifications, and availability calendars; resourcing quality depends on this data.
- Regulatory standards used for gap checks are configured and kept current by the compliance function.
- AI agents operate against SOPs whose structure conforms to the 4W1H template; legacy unstructured SOPs must be migrated.
- Human review queues are staffed sufficiently to prevent bottlenecks on agent-generated proposals.
- The platform is the system of record for operational execution; upstream/downstream integrations (HRIS, LMS for certifications, regulatory feeds) must be available.
- All agent activity is bound by AI Foundry policy; agents cannot self-expand their scope or interaction mode.

==================================================
 END OF STORY EXPORT
==================================================
