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NOWLENS
Your lens into the future of ServiceNow AI.
NOWLENS
Learn. Build. Apply AI with clarity.

Learn.
Build.
Grow.

NowLens helps you understand the ServiceNow AI landscape without the hype. Learn the AI foundations, see how Otto and Now Assist fit together, understand how agents perform work, and explore how enterprise AI is grounded, governed and applied to real workflows.

Understand AI foundations
Build ServiceNow AI
Apply Real workflows
NowLens AI learning flow

Understand the AI. See the platform. Apply it to work.

1Learn the AI concept
2Map it to ServiceNow
3Explore a real use case
4Build & evaluate
Why NowLens AI

Understand the platform, not just the product names.

ServiceNow AI spans assistants, search, skills, agents, enterprise context, model services and governance. NowLens connects those pieces into a learning path that starts simple and gets deeper only when you need it.

🧠

Understand AI

Learn LLMs, prompting, grounding, RAG, agents, evaluation and responsible AI in clear enterprise language.

✦

Experience AI

Understand Otto, Now Assist, AI Search, Virtual Agent, AI Lens and how people interact with ServiceNow AI.

⚙️

Build AI

Explore Skill Kit, Data Kit, GAIC, Knowledge Graph, Context Engine, MCP and AI Agent Studio.

◎

Govern & Apply

Learn AI Control Tower, evaluation, security and how AI accelerates real enterprise workflows.

ServiceNow AI — Explained Simply

Start with what each AI layer actually does.

Otto is the front door. Agents perform work. Context helps AI understand the enterprise. Control Tower governs the AI landscape.

ServiceNow Otto

Think of Otto as the ChatGPT- or Claude-like front door to enterprise work — a conversational AI experience connected to ServiceNow context, permissions, workflows, agents and systems.

Conversation Voice Search Multimodal Enterprise context Cross-system work

How to understand Otto

01
AskUser expresses intent naturally
02
UnderstandAI uses context, identity and permissions
03
RouteSearch, agents and workflows are selected
04
CompleteWork moves toward an outcome

AI Agents & Autonomous Work

AI agents move beyond generating answers. They use instructions, tools, records and enterprise context to pursue goals and complete workflow tasks.

AI Agent Studio Agent tools Agentic workflows Orchestrator Agent Advisor Evaluations Autonomous Workforce

How agentic AI grows

01
AssistantAI responds and recommends
02
AgentAI uses tools to perform work
03
Agentic workflowAgents collaborate toward a goal
04
Autonomous WorkforceAI specialists handle broader jobs

Context Engine + AI Control Tower

Context Engine helps AI understand enterprise relationships, policies and workflow state. AI Control Tower provides the governance layer for AI assets, risk, lifecycle, compliance and value.

Context Engine Knowledge Graph RAG AI Control Tower AI Discovery Risk & Compliance AI Value

Two questions to remember

01
What should AI know?Business context, data and relationships
02
What can AI access?Identity, permissions and governed tools
03
How is AI controlled?Inventory, risk, lifecycle and compliance
04
Is AI creating value?Adoption, productivity and business outcomes
How We Teach AI

Concept first. Platform second. Use case third.

Every topic starts with the AI idea, maps it to the ServiceNow capability, connects it to a real workflow and then moves into building, evaluation or governance. The goal is understanding — not memorizing product names.

01

Learn the concept

Understand the AI concept, terminology, architecture and why it matters.

02

Map it to ServiceNow

See where the concept sits across Otto, Now Assist, agents, context and governance.

03

Apply it to work

Connect the capability to incidents, search, operations, customer or employee workflows.

04

Build & evaluate

Use labs, design choices and evaluation checks to turn the concept into practical skill.

Learning Areas

Go deeper when you are ready.

Choose a learning area to see the ServiceNow AI concepts and products that sit underneath it. Individual lessons can then grow without making the homepage feel crowded.

Your ServiceNow AI journey

Mark learning areas complete as you move from foundations into agentic AI, governance and real use cases.

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