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 STORYGEN AI — STORY EXPORT
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Story ID:           28
Title:              Test Campaign Builder
Owner:              Raul Adrian A. Altavano - Full Stack Developer <raul.altavano@educlaas.com>
App Type:           Agentic AI App
Input Type:         file
Status:             draft
Source File:        Updated SOP - Digital Marketing.docx
Created:            2026-04-29 10:00:53 UTC
Updated:            2026-04-29 10:04:05 UTC
Total Clusters:     0
Total Features:     0

--- ORIGINAL INPUT ---
Department: Marketing 
Function: Digital Marketing (Campaign App)
Version: v2.0
Roles: Marketing Associate (MA), Content Team (CT)

--- USER STORY ---
# Autonomous Multi-Channel Campaign Orchestration (v2.0)

## Overview
This is an **Agentic AI App** that upgrades the existing Digital Marketing Campaign App (v1.x) from a manual, form-driven tool into an autonomous campaign orchestration platform. AI agents collaborate to plan, draft, schedule, launch, and optimize multi-channel marketing campaigns end-to-end, while Marketing Associates and the Content Team supervise, approve creative, and intervene at defined decision points.

## Actors
- **Marketing Associate (MA)**: Defines campaign objectives, target audience, budget, and brand guardrails; reviews agent proposals; approves campaign launches and budget shifts; handles escalations.
- **Content Team (CT)**: Reviews and approves AI-generated creative assets (copy, headlines, image briefs, CTAs); provides brand voice feedback; supplies any human-crafted content the agents must incorporate.
- **Campaign Planner Agent**: Translates the MA's brief into a multi-channel campaign plan — channels, audience segments, schedule, KPIs, and budget allocation.
- **Content Generation Agent**: Drafts channel-specific creative (email, social, search ads, landing page copy) aligned to brand voice and compliance rules; prepares variants for A/B testing.
- **Channel Publisher Agent**: Connects to ad platforms (Google Ads, Meta, LinkedIn), email service providers, and CMS to schedule and publish approved assets.
- **Performance Analyst Agent**: Continuously monitors campaign KPIs, detects anomalies, and proposes optimizations (budget reallocation, creative rotation, audience refinement).
- **Orchestrator Agent**: Coordinates the other agents, manages state, enforces guardrails, and routes hand-offs to humans.

## Goals
- Reduce campaign time-to-launch by automating planning, drafting, and scheduling.
- Improve campaign ROI through continuous, data-driven optimization without manual analyst effort.
- Maintain strict brand, legal, and budget compliance via human approval checkpoints.
- Free MAs and CT members from repetitive operational work so they can focus on strategy and creative quality.

## User Story
As a **Marketing Associate**, I want to **provide a high-level campaign brief and have AI agents autonomously plan, draft, launch, and optimize the campaign across channels with the Content Team approving creative**, so that **we can run more campaigns faster, with better performance, while keeping humans in control of brand and budget decisions**.

## Detailed Workflow

1. **Brief intake (MA → Orchestrator Agent)**
   The MA submits a campaign brief: objective (e.g., lead gen, awareness), target persona, budget, time window, channels of interest, and any mandatory messaging.

2. **Plan generation (Campaign Planner Agent)**
   - Pulls historical campaign performance, audience data, and channel benchmarks.
   - Produces a draft campaign plan: channel mix, audience segments, schedule, budget split, KPIs, and projected outcomes.
   - Hands off to the MA for review.

3. **MA approval of plan**
   - MA approves, edits, or rejects the plan. Rejection sends it back to the Planner Agent with feedback.
   - On approval, the Orchestrator triggers content generation.

4. **Creative drafting (Content Generation Agent)**
   - Generates channel-specific assets (subject lines, ad copy variants, social posts, landing page copy, image/visual briefs).
   - Runs internal checks for brand voice, prohibited claims, and tone.
   - Routes drafts to the Content Team for review.

5. **Content Team review**
   - CT approves, edits inline, or rejects drafts. Rejected drafts return to the Content Generation Agent with notes for regeneration (max 3 regeneration cycles before mandatory human rewrite).
   - Approved assets are locked and versioned.

6. **Scheduling & publishing (Channel Publisher Agent)**
   - Validates platform credentials, audience targeting, and budget caps.
   - Schedules posts/ads/emails per the approved plan.
   - Requests final MA "Go Live" confirmation before any spend is committed.

7. **Live monitoring (Performance Analyst Agent)**
   - Polls channel APIs at defined intervals (e.g., hourly) for impressions, clicks, conversions, CPA, ROAS.
   - Flags underperforming creative or segments and proposes optimizations: pause low performers, reallocate budget, rotate creative variants.

8. **Autonomous optimization within guardrails**
   - The Performance Analyst Agent may auto-execute optimizations *only* within preapproved limits (e.g., shift up to 15% of budget between channels, pause creatives below 0.5% CTR after 5,000 impressions).
   - Any change beyond guardrails is escalated to the MA for approval.

9. **Reporting & wrap-up**
   - At campaign end (or weekly for long campaigns), the Performance Analyst Agent produces a results summary, lessons learned, and recommended next campaign actions for the MA.

## Acceptance Criteria

**Functional**
- An MA can launch a campaign by submitting a brief; agents produce a complete plan within 10 minutes.
- All AI-generated creative is routed to the CT for explicit approval before publishing — no asset publishes without CT sign-off.
- Channel publishing only occurs after explicit MA "Go Live" confirmation.
- The system supports at minimum: email, paid search, paid social (Meta, LinkedIn), and CMS landing pages.

**Agent guardrails**
- Agents must operate within MA-defined budget and date windows; any deviation requires human approval.
- The Content Generation Agent must reject and not output content that violates a configurable brand/compliance rule list (prohibited claims, restricted terms, competitor mentions).
- The Performance Analyst Agent's autonomous actions are capped (configurable %); larger changes are escalated.
- Agents must log every decision (input, reasoning summary, action, tool call, output) to an auditable trail.

**Escalation & stop conditions**
- If an agent fails the same task 3 consecutive times, it stops and escalates to the MA with full context.
- If anomalous spend (>2x daily projected) is detected, the Channel Publisher Agent auto-pauses the campaign and notifies the MA.
- The MA can issue a global "Pause All" command that halts all agent activity within 60 seconds.
- If creative regeneration cycles exceed 3, the workflow blocks until a human supplies content.

**Quality & UX**
- All agent-proposed plans, creatives, and optimizations show a confidence indicator and a plain-language rationale.
- The MA dashboard displays current campaign state, pending approvals, and recent agent actions in real time.

## Assumptions & Constraints
- v2.0 builds on the existing Campaign App data model; historical campaign data is available to the Planner and Analyst agents.
- API credentials and rate limits for all supported ad platforms, ESPs, and the CMS are provisioned and maintained by IT.
- Brand guidelines, compliance rules, and budget guardrails are configured by Marketing leadership before agents are enabled.
- The MA and CT roles remain accountable for final approvals; agents do not have authority to publish without human sign-off in the initial release.
- Only the Marketing department is in scope for v2.0; cross-department workflows (e.g., Sales handoff) are out of scope.

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