Solution Review workshop
AI Agent Architecture Review
Review your agent’s reasoning loop, tools, and memory before giving it more autonomy.
- 1 day
- Hands-on in AI Transformation Studio
- On your own system
The problem
Agents fail in ways chatbots do not: runaway loops, wrong tool calls, and lost context on long tasks. This workshop reviews your agent design and sets how much autonomy it has earned.
Who it's for
Teams building single or multi-agent systems with tool use.
What to bring
Your agent’s design, tool list, and traces from real runs.
The course side
What your team learns
- 1
Reasoning loop
Plan, act, reflect, and replan: where your agent goes wrong in its traces.
- 2
Tool design and permissions
Tool contracts, error handling, and least-privilege access.
- 3
Context and memory budget
What to keep, summarize, or retrieve on long-running tasks.
- 4
Autonomy and escalation
Agent vs workflow vs rules, and when a human must approve.
Builds on these course lectures
- Automate or Collaborate - Agentic Adoption
- 3 Levels of Automation: Workflow → AI → Agents
- Agents vs Automation vs Rules
The platform side
What your team builds in AI Transformation Studio
- Assess the agent’s maturity and the autonomy level it has earned
- Map design changes for tools, memory, and escalation to roadmap items
- Plan the next autonomy step with its entry criteria
Also used: Trace review, Agent maturity rubric
About AI Transformation Studio →Your team leaves with
- • An agent maturity assessment
- • Design changes for tools, memory, and escalation
Book this workshop
Request AI Agent Architecture Review
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Often combined with
- GenAI Production Readiness Review · 2 days
- LLM Observability & Cost Control · 1 day