How to use this page: Keep it beside your instance. Each “screenshot” block shows what the UI area looks like conceptually. Click the matching direct URL, then follow the 3-minute timer. Plug-ins / Now Assist AI Agents must be licensed and installed — if a URL 404s, search the filter navigator for the product name.
0. Map in 20 seconds
| Theme (event) | Product area | One-line job |
|---|---|---|
| Autonomous IT + Otto | AI assistant for work | Ask / act across ITSM·ITOM·SPM workflows |
| AI Control Tower + Workflow Data Fabric | Governance + data for agents | Inventory, risk, control, feed agents with trusted data |
| Build Agent + AI Agent Studio | Create & manage agents | Build agentic workflows and tools your digital workforce runs |
1 Minute 1 — AI Control Tower
Summary: Control Tower is the command center for enterprise AI — see agents/models, govern risk, monitor runtime, and measure value. You cannot control what you cannot see.
24 At risk
3 Governed
18
Open on instance
- Filter navigator → type
AI Control Tower→ open workspace
Direct: {BASE}/now/ai-control-tower (alternate: Workspaces menu → AI Control Tower) - Open AI Inventory — list agents, models, providers.
- Open one record — note lifecycle stage, owner, risk.
- Glance Governance / Assessments — policies and review status.
Functions (Control Tower)
Discover / Inventory
Find first- and third-party AI agents, models, MCP servers — reduce blind spots.
Govern risk
Assessments, policies, compliance alignment before agents go wide.
Identity & access
Track non-human / AI identities and what they can reach.
Monitor runtime
Security telemetry, prompt-injection signals, action logs.
Measure value
Executive view of adoption and outcome metrics.
CMDB / CSDM link
Tie AI assets to services and configuration context.
2 Minute 2 — AI Agent Studio (Build Agent)
Summary: AI Agent Studio is where you create, manage, and test AI Agents and Agentic Workflows — your digital workforce builders. Requires Now Assist AI Agents capability installed.
Open on instance
- Filter navigator →
AI Agent Studio
Direct try: {BASE}/now/ai-agent-studio - Click Create and manage.
- Open tab AI Agents — note existing agents (or empty on fresh lab).
- Open tab Agentic Workflows — open one sample if present.
- In Guided Setup, find Define Data Access:
- Act as invoking user — runs with caller’s roles
- AI User — dedicated identity (least privilege for agents)
Functions (Agent Studio)
Create AI Agent
Define goal, instructions, tools the agent may call.
Agentic Workflow
Orchestrate multi-step agent work toward a business outcome.
Tools / skills
Wire Flow actions, Script Includes, catalog, records — e.g. HR Leave utils.
Data Access / AI User
Choose execution identity — critical for secure agent runs.
Test & evaluate
Single tests and pattern evaluations before production.
Dashboard
Usage and performance of agents over time.
HR Leave tip: Build agents that call existing scoped APIs / Script Includes from chapters 01–12 — do not bypass ACLs. Deep build steps remain in 14_AI_SERVICENOW_AGENTS.html.
3 Minute 3 — Otto / Now Assist + Workflow Data Fabric
Focus of this minute: Use the AI assistant on the instance (Otto / Now Assist), run safe prompts, see which skill/agent ran, then open Data Fabric / Integration paths that feed agents with trusted data. This matches the event themes Autonomous IT + Otto and Workflow Data Fabric.
Summary: Otto (AI assistant for work) unifies assistant experiences so users ask and work gets done across workflows. Workflow Data Fabric connects enterprise / external data so agents and assist skills act on accurate, governed context — not guesses.
| Piece | What it is | Who uses it |
|---|---|---|
| Otto / Now Assist | Side panel / AI Experience — ask in natural language; platform executes via skills, agents, flows | Everyone (employee, agent, fulfiller) |
| Workflow Data Fabric | Data layer that brings CMDB + external systems into AI/workflow context | Architect, Integration, AI builder |
| Link to Control Tower | Assist/agents you invoke should appear in AI Inventory for governance | Platform Owner / CoE |
12 For agents
7 Restricted
2
3A — Open Otto / Now Assist on the instance (≈90 sec)
- Open assist
- Direct: {BASE}/now/assist
- Or click the Otto / Now Assist / sparkle icon in the instance header (name varies by release).
- Filter navigator fallback: type
Now AssistorAI Experience.
- Confirm panel loads — Chat / Ask visible. If blocked, check license + Now Assist plugins.
- Run one safe lab prompt (pick one):
Prompt What you verify List my open incidents Returns INC numbers only from accessible data Summarize this incident (open an INC first) Uses record context What is my leave balance? (if HR Leave skills exist) Scoped HR Leave skill / VA topic How do I request annual leave? Knowledge / catalog guidance — no write if not intended - Note the trail — skill name, agent, or flow mentioned in the answer UI (you will match this in Control Tower inventory later).
- Optional action — if Otto offers “create / update / assign”, cancel on lab unless you intend to test write paths.
3B — Open Workflow Data Fabric / data paths (≈60 sec)
- Filter navigator search (try in order):
Data FabricIntegration HubRemote TablesFlow Data/ Connections
- Useful direct URLs to try:
- {BASE}/now/assist — assist surface
- {BASE}/$restapi.do — REST API Explorer (integration check)
- {BASE}/sys_alias_list.do — Connection aliases
- {BASE}/sys_rest_message_list.do — REST Messages
- {BASE}/sys_db_object_list.do?sysparm_query=nameLIKEremote — remote-related tables
- Discuss with team: Which sources should agents read for HR Leave / ITSM? CMDB only? External HRIS? Block PII fields.
3C — Close the loop with Control Tower (≈30 sec)
- Re-open {BASE}/now/ai-control-tower
- Search AI Inventory for the skill/agent name you saw in Assist.
- Confirm: owner, risk stage, whether it is governed.
Functions — Otto / Assist (detailed)
Conversational ask
Natural language Q&A and “do this work” requests.
Context awareness
Uses open record / user / role to ground answers.
Skill routing
Picks Now Assist skill, agent, or flow for the intent.
Execute / finish work
Creates or updates work through platform workflows — not shadow IT.
Cross-product assist
ITSM · ITOM · SPM (Autonomous IT) in one assistant surface.
History & audit
Conversation and actions remain reviewable for support/governance.
Voice / multimodal*
Where licensed — voice agents & richer AI Experience.
Employee + agent UX
Same assistant pattern for self-service and fulfiller work.
Functions — Workflow Data Fabric (detailed)
Connect sources
CMDB, platform tables, external systems via Integration Hub / remote data.
Contextualize
Shape data so agents get usable, timely context.
Feed agentic AI
Supplies tools/skills with facts instead of hallucinations.
Access policy
Limit which identities/agents can read which sources.
Trust + CMDB
Align AI context with CSDM / CI relationships.
Ops readiness
Support Autonomous IT demos with real ops data paths.
Minute-3 apply checklist
| ✓ | Action | URL / where |
|---|---|---|
| ☐ | Open Assist / Otto panel | {BASE}/now/assist |
| ☐ | Run one safe prompt | Chat box |
| ☐ | Write down skill/agent/flow name used | Answer UI |
| ☐ | Search navigator for Data Fabric / IH / Remote Tables | Filter navigator |
| ☐ | Open connections or REST aliases (if present) | {BASE}/sys_alias_list.do |
| ☐ | Match skill/agent in Control Tower inventory | {BASE}/now/ai-control-tower |
| ☐ | Capture screenshots 5 + 6 | See screenshot pack |
Lab safety: Prefer read-only prompts first. Do not approve mass updates from Assist on shared labs. For HR Leave production skills (balance, cancel, submit), follow the full build in Chapter 14.
Functions cheat-sheet (all three areas)
| Area | Primary users | Core functions | Typical open path |
|---|---|---|---|
| AI Control Tower | AI CoE, Risk, Platform Owner | Inventory, govern, monitor, measure | Workspaces → AI Control Tower |
| AI Agent Studio | Developer / Citizen builder | Create agents, agentic workflows, tools, test | Navigator → AI Agent Studio → Create and manage |
| Otto / Assist | All employees / agents | Ask, act, finish work via workflows | Header assist / /now/assist |
| Workflow Data Fabric | Architect / Integration | Connect & contextualize data for AI | Navigator search Data Fabric / IH |
Screenshot pack (what to capture on your instance)
| # | Capture | File name suggestion | Shows |
|---|---|---|---|
| 1 | Control Tower overview | shot-01-control-tower.png | Inventory KPIs + nav |
| 2 | AI Inventory list | shot-02-ai-inventory.png | Agents/models rows |
| 3 | Agent Studio home | shot-03-agent-studio.png | Create and manage entry |
| 4 | Agentic Workflow Guided Setup | shot-04-guided-setup.png | Data Access / AI User |
| 5 | Otto / Assist answer | shot-05-otto-assist.png | Prompt + response |
| 6 | Data Fabric / integration context | shot-06-data-fabric.png | External data feed (if present) |
Tip: Save screenshots under HR_Leave_App/html/assets/shots-agentic-ai/ later and replace the conceptual frames above with <img src="assets/shots-agentic-ai/shot-01-....png"> when you have real instance captures.
3-minute apply checklist
| ✓ | Step | Direct URL |
|---|---|---|
| ☐ | Open AI Control Tower — note inventory count | {BASE}/now/ai-control-tower |
| ☐ | Open AI Agent Studio → Create and manage | {BASE}/now/ai-agent-studio |
| ☐ | Open one agent or workflow — find Data Access | inside Studio |
| ☐ | Open Assist / Otto — run one safe prompt | {BASE}/now/assist |
| ☐ | Confirm plugins licensed (Now Assist AI Agents) | Plugin list / store |
| ☐ | For deep HR Leave AI build, continue Chapter 14 | 14_AI_SERVICENOW_AGENTS.html |
Bottom line: Control Tower = see & govern AI. Agent Studio = build agents & agentic workflows. Otto/Assist = users ask and work finishes. Data Fabric = trusted data into those agents. Three minutes to open all three; Chapter 14 to implement HR Leave skills end-to-end.