# 9. User Journeys

### 9.1 Journey A: Independent SaaS builds a Customer Support Copilot

1. **Brief:** Triage tickets, draft replies, cite knowledge base.
2. **Context Pack:** Help center, resolved tickets, product docs, glossary.
3. **Agent:** Triage Agent → Research Agent → Draft Agent → Risk Gate Agent.
4. **Eval:** 200 golden tickets; accuracy, grounding, tone, escalation.
5. **Release:** Master Agent v1.0 → Tokenized; 92% first-contact resolution in pilot.<br>

### 9.2 Journey B: Auto Dealer Group (Dryve-style) creates Multi-Agent Sales Network

1. **Brief:** Model matchmaker, valuation, negotiation, DVLA-style transfer helper.
2. **Context:** Listings, pricing history, policy docs, DVLA API stubs.
3. **Agents:** Valuation, Negotiation, Compliance, Orchestrator.
4. **Eval**: Offer fairness, compliance coverage, citation accuracy.
5. **Release**: Master Agent v1.0; 18% faster conversion, 12% higher blended margin.

### 9.3 Journey C: Restaurant Group (Plates AIA-style) deploys Ops Copilots

1. **Brief**: Daily briefings, menu engineering, compliance, vendor swap suggestions.
2. **Context**: SOPs, recipes, allergens, invoices, vendor SKUs.
3. **Agents**: Pepper (Ops), Plato (Menu), Vendr (Procurement), Hawk (Compliance).
4. **Eval**: Food cost variance, allergen accuracy, suggestion acceptance.
5. **Release**: Master Agent Suite; 9% food cost reduction, 22% faster onboarding.\ <br>
