Module 5 · Agentic Future of BA/Product Delivery

Setup & Inputs

Required artefacts

Telemetry plan, automation pipeline, KPI tree from Module 4.
RAG prototypes and usability feedback from Module 3.
Governance checklist and risk register.
Stakeholder presentation preferences, decision-making forums.

Environment preparation

Install pip install langgraph crewai playwright. Configure environment variables for APIs.
Set up n8n or Zapier for orchestrating cross-system tasks.
Enable sandbox credentials for required enterprise APIs (ticketing, data stores, communication tools).

Vision statement

Draft a one-paragraph "future of work" statement for your BA/Product team describing how human experts and agents collaborate. This anchors your executive pitch.

Agent ecosystem: dedicated agents for discovery, prototyping, and validation coordinated through an orchestration layer with human oversight and governance hooks.

Learning Outcomes

Design multi-agent collaboration patterns aligned to your workflow.
Automate validation (UX, regression, policy checks) and integrate telemetry with agents.
Establish governance and override matrices ensuring accountable human oversight.
Create an executive pitch that communicates value, scalability, and risk controls.

Concept Briefings

Agent Orchestration Patterns

Assign specialised roles to agents (discovery, prototyping, QA) and coordinate via a controller pattern. Ensure agents share state through structured memory and audit trails.

python from langgraph.graph import StateGraph, END from typing import TypedDict, List class WorkflowState(TypedDict): backlog: List[str] prototype_status: str qa_results: List[str] workflow = StateGraph(WorkflowState) workflow.add_node("discovery_agent", discovery_step) workflow.add_node("prototype_agent", prototype_step) workflow.add_node("qa_agent", qa_step) workflow.add_edge("discovery_agent", "prototype_agent") workflow.add_edge("prototype_agent", "qa_agent") workflow.add_edge("qa_agent", END)

Automated Validation

Leverage agents to run regression tests, UX walkthroughs, policy checks, and telemetry analysis. Use Playwright or Selenium for UX automation, policy-check agents for compliance.

codex prompt qa-agent "Design a QA agent workflow that runs Playwright tests, validates prompt regression outputs, and flags anomalies to a human reviewer with Slack notifications."

Executive Storytelling

Translate technical orchestration into business value. Communicate risk controls, ROI, scalability, and organisational design changes.

gemini prompt exec-pitch "Draft an executive summary for an AI-enabled underwriting transformation highlighting value metrics, agent orchestration, governance, and next-quarter roadmap."

Guided Exercise Timeline

Step 1 · Agent Role Definition (90 min)

Map responsibilities

Document tasks for discovery, prototype, validation, and change agents. Include inputs, outputs, success criteria, and handoff rules.

Step 2 · Orchestration Build (180 min)

Implement agent workflow

Use LangGraph/CrewAI to orchestrate agents. Connect to existing assets (backlog, prototypes, tests). Enforce human approval gates where required.

Governance: log every agent action with timestamps, prompts, outputs, and responsible owner for audits.

Step 3 · Automated Validation (120 min)

Run end-to-end cycles

Execute orchestrated run generating backlog updates, prototype variants, and QA reports. Collect telemetry and compare against thresholds.

Step 4 · Governance & Override (90 min)

Formalise control matrix

Define escalation paths, override procedures, and manual intervention triggers. Map to organisational policies and compliance obligations.

Step 5 · Executive Pitch (120 min)

Craft presentation & demo

Assemble deck and demo script showcasing before/after metrics, agent orchestration, governance, and next steps. Include investment ask and timeline.

Lab 05 · Agentic Operating Model & Executive Pitch

Deliver a working agent orchestration, governance schema, and executive presentation ready for leadership review.

Inputs

Automation pipeline, telemetry data, experiments backlog.
Governance checklist, Stakeholder change plan.
Agent role definitions and AI toolkits.

Outputs

Agent orchestration blueprint (artifacts/week5/agent_architecture.svg).
Automation logs evidencing agent run (artifacts/week5/agent_run_report.md).
Governance & override matrix (artifacts/week5/override_matrix.xlsx).
Executive deck (artifacts/week5/executive_pitch.pptx) + demo recording.

Collaboration

Run agent demo for peer/mentor feedback.
Security/reliability review of control matrix.
Executive rehearsal with stakeholder persona acting as sponsor.

Execution Steps

Implement agent orchestration in LangGraph or CrewAI. Ensure configuration file lists prompts, APIs, and guardrails.
Integrate QA automation (Playwright tests, policy check scripts) triggered post-prototype updates.
Run full agent cycle on synthetic scenario. Capture logs, metrics, and outputs. Evaluate against KPI thresholds.
Build governance matrix assigning human owners for overrides, auditing, and exception handling.
Create executive deck covering strategy, metrics, agent ecosystem, governance, financial model, and rollout roadmap. Prepare demo with recorded agent run.

Validation Checkpoints

Agent run logs include timestamped actions, prompts, outputs, and success/failure indicators.
Human approval gating enforced for high-risk actions; overrides documented.
Demo showcases at least two prototype iterations generated automatically with validation results.
Executive deck articulates ROI, risk mitigation, and staffing implications with clear next steps.

Reflection & Submission

Submission Checklist

artifacts/week5/agent_architecture.svg
artifacts/week5/agent_run_report.md including logs.
artifacts/week5/override_matrix.xlsx
artifacts/week5/executive_pitch.pptx + demo video link.
Final reflection (artifacts/week5/reflection.md) summarising transformation journey and next quarter roadmap.

Assessment Rubric

Agent Design (30%): Role clarity, orchestration robustness, governance integration.
Automation Evidence (25%): Logs, validation coverage, KPI alignment.
Governance & Oversight (20%): Override matrix, accountability, audit readiness.
Executive Communication (25%): Storytelling, metrics, roadmap, stakeholder alignment.

Submission Process

Finalise your repository, tag release v1.0-capstone, and share with mentor. Present executive deck in cohort showcase. Submit final portfolio (zip or repo link) to program portal.

Troubleshooting & FAQ

Agents running amok?

Implement execution limits, timeouts, and required human approvals. Log every action and enforce policy checks. Use sandbox data to prevent unintended changes.

Executives skeptical?

Lead with quantified wins (cycle time, cost savings), emphasise governance, and showcase human oversight. Offer phased rollout with clear success criteria.

Integration blockers?

Propose alternative architectures (API mocks, RPA wrappers). Document cost/benefit for integration work in roadmap. Highlight modularity of agent components.

Course Close-Out

Congratulations! Assemble your full portfolio:

Week 1 discovery assets.
Week 2 workflows and synthetic data.
Week 3 prototypes and validation plans.
Week 4 measurement and automation artefacts.
Week 5 agentic operating model and executive pitch.

Share your transformation story with the cohort and capture testimonials or case studies for organisational leadership.