Watch a governed secure AI agent get built from scratch — in real time, in Zenphi. No engineers. No code. Just a working agent deployed to Google Chat in 20 minutes.
Join our build session where we start from a blank canvas and end with a governed agent running in Google Chat.
01
Why most AI agent projects stall before production
The governance gap that kills 80% of AI agent deployments — and the architectural decision that prevents it. Understand the difference between an agent that answers and one that executes.
02
Building demo: a governed agent from scratch
How to configure a real AI agent in Zenphi — connecting it to a workflow, setting access rules, and deploying it to Google Chat. Start to finish, step-by-step guide.
03
How to make AI call less AI — and cost less
How to build really cost-efficient agents: where to use deterministic logic, where to add AI models. Cheaper, faster, more predictable.
04
Access controls that actually work
How to configure what your agent can see, say, and do — per role, per relationship, per context. See the live example: same agent, different scope depending on who's asking.
Who this is for
Built for the people who have to make it work
IT admins and ops leads who need to deploy AI agents without a dedicated engineering team
Google Workspace teams evaluating AI tools for HR, IT, or operations use cases
Operations managers who've seen AI agent pilots fail to reach production and want to understand why
Anyone building or evaluating AI automation at a 100–1,000 person company on Google Workspace
Webinar Bonus
Something to take away and use
Every registrant receives the full handbook — yours to keep whether you attend live or watch the recording.
What's inside
Build an AI Agent Code-Free — Technical Tips Handbook
22 pages. A practical reference for IT and ops teams building their first governed AI agent — decisions, frameworks, and the mistakes to avoid.
01Market context: where the enterprise AI agent industry stands right now
02No-code vs traditional development — a side-by-side comparison
03Common challenges: why most AI agent projects stall before production
04Key steps to building an effective agent — in the right order
05AI agent architectures: interface layer vs execution layer explained
06How architecture shapes decision-making and governance
07The AI agent stack — what each layer does and why it matters
08Building without coding skills: a step-by-step practical guide