Regulated Enterprise
Control tower inventory, risk tiers, and review cadence
ServiceNow Expertise
Trusted ServiceNow expertise for practical enterprise AI
Book a control-tower workshop — inventory, policy, dashboards, and an operating model that scales.
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.
Complete inventory and taxonomy of AI capabilities
Risk-tiered policies and approval gates
Quality, adoption, and incident monitoring
Cost and usage transparency by domain
Board-ready AI operating cadence and reporting
AI Inventory & Taxonomy
Catalog assistants, agents, skills, owners, and domains.
Policy & Risk Controls
Controls, classifications, and change gates by risk tier.
Quality & Eval Monitoring
Evals, feedback loops, and regression signals.
Cost & Usage Insights
Consumption and spend visibility for leadership.
Executive AI Reporting
Dashboards that track adoption, risk, and value.
Operating Model & Cadence
Cadence, RACI, and escalation for AI governance.
Key Control Tower Capabilities
Command and control for enterprise AI
Operate AI like a product portfolio — with risk and performance in view.
Control Tower Ecosystem
Governance across the AI stack
The tower sits above Now Assist, agents, and automation with shared policy.
Now Assist
Governed generative skills and content.
AI Agents
Fleet oversight for autonomous work.
Security
Risk and compliance alignment.
Platform
Release and environment controls.
Value Office
Outcome tracking and prioritization.
Customer Outcomes
Control Tower results
How enterprises govern AI on ServiceNow at scale.
Global Platform Team
Dashboards for adoption, quality, cost, and incidents
Business Benefits
Scale AI without losing control
Clarity for operators and confidence for executives.
Visibility
Central inventory of AI assistants, agents, and skills
Faster risk review
Policy, risk, and compliance controls for AI usage
Source of truth
Performance, quality, and adoption dashboards
Shadow sprawl
Cost and consumption visibility for leadership
Implementation Approach
Stand up the tower, then run it
Discover, frame controls, instrument, and institutionalize.
AI estate discovery
Catalog existing GenAI, agents, and automation touchpoints on and around ServiceNow.
Control framework
Define policies, RACI, risk tiers, and approval gates for AI change.
Tower build
Stand up dashboards, alerts, and review cadences for performance and spend.
Govern at scale
Embed tower rituals into release, security, and product governance.