W4 • IN-HOUSE ONLY2 DAYS • CTO / ARCHITECT LEVEL
Enterprise AI
Architecture
The architecture workshop. How do you turn prompts, RAG, and agents into a coherent system that scales, governs itself, and delivers measurable business value?
$18,000–$24,000 AUD flat fee (excl. GST) • Up to 15 participants • Sydney or on-site
2 DAYS • IN-HOUSE ONLY • NO PUBLIC COHORTCTOs • Heads of Engineering • Solutions Architects • AI Platform LeadsBook this workshop →
Overview
This is the architecture workshop. It answers the question every senior technical leader is asking: “We have prompts, we have RAG, we’re experimenting with agents — how do we turn this into a coherent system that scales, governs itself, and delivers measurable business value?”
Participants leave with a reference architecture tailored to their organisation, a gateway evaluation framework, an MCP integration plan, and a practical AI Skill Factory operating model.
TARGET AUDIENCE
- • CTOs and Heads of Engineering
- • Solutions Architects and AI Platform Leads
- • Technical PMs and Engineering Leads
- • Leaders responsible for making AI investments compound
Learning Outcomes
Draw the full enterprise AI stack — all six layers — and explain the role and decision criteria for each
Design and justify an AI Gateway implementation for your organisation’s risk profile and scale
Understand MCP as an integration standard and map your enterprise tool landscape to an MCP server architecture
Evaluate multi-agent orchestration patterns (supervisor, mesh, hierarchical) and select the right one
Define a token cost optimisation strategy using semantic caching, prompt compression, and intelligent routing
Design a responsible AI governance framework embedded in architecture
Scope and structure an AI Skill Factory / Center of Excellence for your organisation
Connect every architectural decision to a business value outcome in revenue, cost, or risk
Workshop Structure
DAY 1 MORNING
The Enterprise AI Stack + The AI Gateway
THE SIX-LAYER REFERENCE ARCHITECTURE
- • Why point solutions fail: the fragmentation problem
- • The six layers: Data Foundation → Model → Orchestration → AI Gateway → Application → Governance
- • One predictable failure per layer and how to avoid each
- • Live exercise: Map your AI landscape to the six layers
THE AI GATEWAY
- • The five capabilities every production gateway must have
- • The cost case: enterprise LLM spend, semantic caching ROI
- • Gateway landscape decision framework (Kong, Bifrost, LiteLLM, Cloudflare)
- • Live demo + exercise: Design your gateway architecture
DAY 1 AFTERNOON
MCP and Multi-Agent Orchestration
MCP: THE INTEGRATION STANDARD
- • The N×M integration problem and how MCP solves it
- • MCP architecture: hosts, clients, servers, JSON-RPC
- • The seven enterprise MCP server patterns
- • Four threat vectors and how to design against them
- • Live exercise: Map your enterprise tools to an MCP server catalogue
MULTI-AGENT ORCHESTRATION
- • When you actually need multiple agents (the honest answer)
- • MCP (agent-to-tool) vs A2A (agent-to-agent)
- • Three patterns: supervisor/worker, mesh, hierarchical
- • Framework comparison + cost/complexity circuit breakers
- • Live exercise: Design a multi-agent system topology
DAY 2
Governance, the AI Skill Factory & Business Value
RESPONSIBLE AI & GOVERNANCE
- • Governance as an architecture layer, not a policy document
- • Regulatory landscape (EU AI Act, ISO 42001, NIST, Australian context)
- • Risk tiering (Tier 1 productivity tools → Tier 4 autonomous high-stakes)
- • Technical instruments: gateway guardrails, HITL, audit trails, model cards
- • Workshop: Risk-tier your AI portfolio
THE AI SKILL FACTORY
- • From CoE committee to operating model
- • Four components: patterns, fluency programs, governance by design, internal marketplace
- • The fluency ladder (W1→W4)
- • Federated vs centralised operating model
- • Workshop: Draft your AI Skill Factory canvas
Deliverables
Each participant leaves with working documents (not slides) across all eight exercises:
01Six-layer architecture mapped to your organisation
02Gateway architecture design
03MCP server catalogue draft
04Multi-agent topology with protocol labels
05AI portfolio risk-tier matrix
06AI Skill Factory operating model canvas
07One-page value architecture (Revenue + Cost + Risk)
0890-day roadmap
Pricing (AUD, excl. GST)
CORPORATE IN-HOUSE ONLY
$18,000 – $24,000
2 days • up to 15 participants
Customisation to client stack
+15–25%
Post-workshop architecture review
+$3,500–$5,000
Travel outside Sydney CBD
$500–$1,500 + accommodation
No public open-enrolment format for W4 — in-house delivery only. This is the architecture conversation every leadership team needs in 2026.
Why This Workshop Exists Now
01
MCP became a Linux Foundation standard — no longer an experiment, now the infrastructure every enterprise AI integration will be built on.02
AI Gateways became non-negotiable at scale. Enterprise LLM spend past $8B and heading to $15B by end of 2026. Unmanaged spend is a material budget risk.03
The pilot-to-production failure rate is documented and fixable. 95% of GenAI pilots deliver zero measurable P&L impact (MIT NANDA 2025). The causes are architectural and organisational.