Why the Zeaware Agent Pathway
The Zeaware Agent Pathway is a structured Enterprise GenAI Implementation Strategy that removes ambiguity about where to start and how to scale responsibly. It aligns adoption with governance and business value so you can move beyond experimentation into trusted, production-ready AI.
Clarity
A clear progression: POC → Pilot → Scaled Adoption.
Governance
Foundations set early and strengthened as maturity increases.
Confidence
Enterprise requirements covered: security, compliance, scalability.
Start Small → Build Maturity → Increase Use-Case Complexity
The Zeaware Agent Pathway operationalises our Enterprise GenAI Implementation Strategy:
begin with simple, low-risk, internal use cases (often chat or guided interfaces), build
governance muscles early, then scale into integrated and external-facing scenarios as execution maturity rises.
Typical Entry Point: Internal chatbots or assistants over policy/guideline content,
ringfenced from key systems, with humans in the loop. This builds confidence without unnecessary risk.
Use-Case Complexity Cycle
Tier 1 - Assistive & Internal
- Internal users, non-sensitive content
- Human-in-the-loop validation
- No system write-backs
Examples: HR policy Q&A, meeting note summaries, drafting aids.
Tier 2 - Integrated & Operational
- RBAC + audit logging enforced
- Read integrations with LoB systems
- Structured outputs & workflow handoffs
Examples: Knowledge retrieval with sources, compliance review copilot, internal service desk triage.
Tier 3 - External & Automated
- Selective automation with approvals
- Write-backs & API actions under guardrails
- Continuous monitoring & incident response
Examples: Customer support copilot, document/contract automation, partner-facing product inquiry agent.
Lifecycle for AI Use Cases
1) Proof of Concept (POC)
- Goal: Prove feasibility and user value on safe, internal data.
- Scope: 1–2 teams; ringfenced content; manual review of outputs.
- Governance baseline: Scope, logging, non-sensitive content policy.
- Exit: KPIs hit (e.g., time saved/quality uplift), known risks & mitigations, positive user feedback.
2) Pilot Production
- Goal: Validate in real workflows with guardrails.
- Scope: Larger user group in one function/region; training & runbooks in place.
- Governance operational: RBAC, dashboards, escalation, structured risk assessment.
- Exit: Stable KPIs, low incident rate, adoption threshold met, integration readiness confirmed.
3) Production (Scale)
- Goal: Scale across teams and—when appropriate—external users.
- Scope: Multi-team/department; approvals-based automation.
- Governance enterprise: Continuous compliance, GRC integration, periodic re-certification, model/agent versioning.
- Steady-state: SLOs, cost/perf tracking, drift monitoring, change management.
How it fits together: Start with Tier-1 assistive use cases in POC, graduate proven ones to Pilot
with controls, then scale into Tier-2 and Tier-3 scenarios as capabilities and governance maturity increase.
Every use case repeats the POC → Pilot → Production loop.
AI Governance Aligned to Use Case Complexity
Governance is the runway, not the brakes.
Foundational controls are established even for simple, internal use cases, and
governance deepens as use cases become more complex and higher risk.
Foundational
- Scope definition and approvals for each use case
- Foundation safeguards
- Audit logging of user interactions
- Human-in-the-loop review of outputs
Applies to: Internal, low-risk assistive use cases (e.g. policy Q&A, summarisation).
Operational
- Monitoring dashboards & usage reporting
- Structured risk assessments per use case
- Escalation & incident response processes
Applies to: Integrated, moderate-risk use cases (e.g. knowledge retrieval with sources, compliance support).
Comprehensive
- Continuous compliance monitoring
- Integration with enterprise frameworks
- Automated guardrails
Applies to: External-facing, higher-risk automation use cases (e.g. customer support agents, contract automation).
Resources for Customers and Partners
The Zeaware Agent Pathway is designed to be run by customers and partners. Zeaware provides enablement so your teams can move quickly and safely.
- Framework documentation and step-by-step guides
- Governance checklists and templates
- Best practice playbooks and sample use cases
- Training and partner enablement materials
Get Started With Your GenAI Journey
Adopt enterprise AI without the chaos. Use the Zeaware Agent Pathway to start small, build maturity, and scale with confidence on Zeaware Avalon.
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