Unknown list of assistants, agents, and skills in production
Complete inventory and taxonomy of AI capabilities
Section 01: Why AI Control Tower
From AI sprawl to governed scale
A control tower gives leaders one place to see, risk-rank, and steer AI on ServiceNow.
Inconsistent risk reviews for AI changes
Risk-tiered policies and approval gates
No shared quality or eval standards
Quality, adoption, and incident monitoring
Opaque GenAI spend and consumption
Cost and usage transparency by domain
Executives without a reliable AI status view
Board-ready AI operating cadence and reporting
Section 02: Key Control Tower Capabilities
Command and control for enterprise AI
Operate AI like a product portfolio — with risk and performance in view.
Module 01
AI Inventory & Taxonomy
Catalog assistants, agents,skills, owners, and domains.
Module 02
Policy & Risk Controls
Controls, classifications, andchange gates by risk tier.
Module 03
Quality & Eval Monitoring
Evals, feedback loops, andregression signals.
Module 04
Cost & Usage Insights
Consumption and spend visibilityfor leadership.
Module 05
Executive AI Reporting
Dashboards that track adoption,risk, and value.
Module 06
Operating Model & Cadence
Cadence, RACI, and escalationfor AI governance.
Section 03: Control Tower Ecosystem
Governance across the AI stack
The tower sits above Now Assist, agents, and automation with shared policy.
Section 04: Business Benefits
Scale AI without losing control
Clarity for operators and confidence for executives.
100%
Visibility
Central inventory of AI assistants, agents, and skills
40%
Faster risk review
Policy, risk, and compliance controls for AI usage
1
Source of truth
Performance, quality, and adoption dashboards
0
Shadow sprawl
Cost and consumption visibility for leadership
Impact
Outcomes
Proof clients track with us
Four signals we keep visible across every engagement.
Excellence
6+Years of ServiceNow excellence
Experts
50+Certified ServiceNow professionals
Delivery
32+Successful implementations
Reach
7+Industries served
Section 05: Implementation Approach
Stand up the tower, then run it
Discover, frame controls, instrument, and institutionalize.
Phase 01
AI estate discovery
Catalog existing GenAI, agents, and automation touchpoints on and around ServiceNow.
Section 06: Customer Outcomes
Control Tower results
How enterprises govern AI on ServiceNow at scale.
Regulated Enterprise
Before
Fragmented AI pilots with unclear ownership
After
Control tower inventory, risk tiers, and review cadence
40% faster AI change risk reviews
Global Platform Team
Before
Executives lacking a single AI status view
After
Dashboards for adoption, quality, cost, and incidents
One board-ready AI operating report
Chosen by enterprises that expect clarity and control
Stand up your AI Control Tower
Book a control-tower workshop — inventory, policy, dashboards, and an operating model that scales.