Pilot Session Training Agenda
Duration: 3 hours (virtual) | Target: Week of April 6, 2026
Audience: 10–15 Deloitte cyber engineering super users
Objective: By session end, each participant can independently build a workflow automation on the Kindo platform.
Block 1 — Platform Orientation (45 min)
Goal: Everyone understands what Kindo is, how it fits their environment, and the core building blocks.
| Time | Topic | Details |
|---|---|---|
| 0:00–0:10 | Welcome & Context | Facilitator intro. Why Kindo, what Deloitte is building toward, session objectives. |
| 0:10–0:20 | Platform Overview | What is Kindo, deployment models (SaaS vs self-hosted), key capabilities (Chat, Agents, Integrations, Governance). |
| 0:20–0:30 | Agent Types Deep Dive | Chatbots vs Workflow Agents vs Trigger Agents — when to use each. Agent Steps: LLM, Action, API Action. |
| 0:30–0:37 | Integrations Overview | How integrations work (Nango + MCP). Highlight CrowdStrike, Jira, ServiceNow, Splunk. |
| 0:37–0:45 | AI Chat First Steps | Quick live demo: ask a question, show model selection, show file upload. Participants follow along. |
Key takeaway: Participants understand the three agent types and can navigate the Kindo UI.
Block 2 — Hands-On Workshop (90 min)
Goal: Guided construction of two real cybersecurity workflow agents using Deloitte's use cases.
Exercise A — Firewall Rule Optimizer (45 min)
Build an agent that analyzes firewall rule reports and categorizes rules for cleanup: risky, over-permissive, unused, redundant.
Exercise B — Pathfinder: NIST CSF Compliance Mapper (45 min)
Build an agent that maps evidence documents to NIST CSF controls and evaluates compliance status.
Key takeaway: Participants have built two real workflow agents end-to-end and understand prompt engineering, knowledge stores, and multi-step agent construction.
Block 3 — Apply & Extend (30 min)
Goal: Independent practice — participants apply what they learned to their own use cases.
| Time | Activity | Details |
|---|---|---|
| 2:15–2:20 | Briefing | Pick your own use case (or extend one of the workshop agents) and build independently. Facilitators available for help. |
| 2:20–2:40 | Independent build time | Participants work on their own agents. Facilitators circulate to help, answer questions, debug. |
| 2:40–2:45 | Show & tell (optional) | 2–3 volunteers share what they built. Quick feedback from facilitators. |
Block 4 — Wrap-Up & Next Steps (15 min)
| Time | Activity | Details |
|---|---|---|
| 2:45–2:50 | Key concepts recap | Agent types, steps, knowledge stores, prompt engineering patterns, integrations |
| 2:50–2:55 | Ongoing resources | Docs site, training portal (LMS), interactive training assistant (chatbot), slide decks, video overviews |
| 2:55–2:58 | Scaling plan | Subsequent batches (75–80 total engineers), iteration based on pilot feedback, in-person sessions later |
| 2:58–3:00 | Q&A & feedback | Open questions. Share feedback form. Thank participants. |
For Facilitators
Pacing
- Block 1 is presentation-heavy — keep it moving, use live demos over slides
- Block 2 is the core — allocate extra time here if Block 1 runs short
- Block 3 can expand if orientation runs under 45 min
- Never cut Block 2 short — the hands-on exercises are the highest-value part
Audience-Specific Emphasis
| Archetype | Extra attention on... |
|---|---|
| Full-stack devs | Agent step types, API Action Steps, integration mechanics |
| Cyber professionals | Use case framing, prompt engineering, Knowledge Store setup |
| AI/ML engineers | Advanced patterns (multi-agent, memory/persistence, Canvas), API reference |