01
Employee experience
ServiceNow Otto (Moveworks)
Plan employee-facing search and task completion across the ServiceNow environment, with attention to identity, knowledge, integrations, and the service experience.
Platform strategyImplementationModernization
Turn enterprisecomplexityinto operational advantage.
AscendWorks builds the ServiceNow operating model that keeps enterprise work connected, governed, and measurable — from Flow Designer and employee experience to AI oversight and platform modernization.
Enterprise AI
Governed
Operations
Connected
Delivery
Measured
ServiceNow AI Control Tower
Know what AI is doing. Govern what happens next.
AI is already moving through your business—in products, workflows, and third-party tools. ServiceNow AI Control Tower brings discovery, governance, security, observability, and value measurement into the ServiceNow platform.
We help platform and risk leaders evaluate readiness, shape an implementation path, and connect AI oversight to the operating model.
- 01
Discover
Create visibility into AI agents, models, and assets.
- 02
Secure
Connect identity and security controls to AI activity.
- 03
Govern
Set ownership, lifecycle practices, and risk controls.
- 04
Observe
Monitor performance and activity across AI initiatives.
- 05
Measure
Understand adoption and business value over time.
ServiceNow AI Control Tower / Operating model
An AI inventory isn't governance.
The work is resolving discovered assets against your CMDB/CSDM service graph, accountable owners, and existing IRM controls. We design the decision rights and evidence paths around your ServiceNow architecture—without creating a parallel system of record.
Explore the implementation approachConceptual AI governance flow: AI agents, models, and use cases connect through ServiceNow AI Control Tower to service context, accountability, policy and risk controls, and operational signals. The lifecycle shown is Discover, Secure, Govern, Observe, and Measure. This is an illustrative operating model, not a depiction of the ServiceNow product interface.
ServiceNow expertise
The platform work behind lasting change.
One accountable partner across strategy, delivery, integrations, and the operating model that keeps ServiceNow useful after go-live.
The platform, put to work
The right ServiceNow capabilities. Connected to real work.
Product names are only the start. We help platform owners decide where each capability fits, what it depends on, and how to govern it over time.
02
Workflow orchestration
Flow Designer
Connect approvals, integrations, and repeatable work in maintainable flows—with clear ownership, error handling, and operational visibility.
03
AI governance
AI Control Tower
Establish a ServiceNow foundation for discovering AI assets, managing risk and governance, observing performance, and measuring value.
04
Generative AI
Now Assist and AI agents
Identify the workflow opportunities, data readiness, permissions, and human oversight needed to put ServiceNow AI capabilities into practice.
How We Work
Four Phases. One Continuous Arc
Each phase ends with a decision and an artifact your team can review. Scope, timing, and success measures are agreed for your environment.
01
Assess
Discover What's Holding IT Back
Review the current platform, workflows, stakeholders, dependencies, and capability gaps with your team.
Deliverable
Current-state findings + priorities
→
02
Architect
Design for Transformation, Not Just Today
Define platform patterns, integrations, governance, data responsibilities, and sequencing around your constraints.
Deliverable
Architecture decisions + delivery plan
→
03
Activate
Configure, validate, and prepare
Deliver in reviewable increments, validate agreed requirements, and involve service owners in acceptance and handover.
Deliverable
Validated configuration + team enablement
→
04
Accelerate
Sustain the Gains
Agree operational ownership, review adoption against your baseline, and prioritize the next round of platform improvement.
Deliverable
Ownership model + improvement backlog
Delivery discipline
Good platform work is inspectable.
Agree how success will be measured before the work begins. Then make the decisions, tests, and handover visible to the people who will run the platform.
Explore our services01
Agree on the baseline
Define the current state, intended outcome, scope, and acceptance criteria before configuration begins.
02
Validate in the platform
Review configuration, integrations, and test evidence against the requirements and operating constraints.
03
Hand over with context
Document decisions, known dependencies, platform ownership, and the next steps for your team.
How we think
Experience shows up in the decisions.
Enterprise ServiceNow work is not just configuration. It connects process, architecture, controls, and the people who own the platform after launch.
01
Start with the operating model
Map the work, decision rights, and service outcomes before shaping the ServiceNow design.
02
Design the connections
Treat data, integrations, ownership, and exception handling as part of the workflow—not follow-on tasks.
03
Govern automation deliberately
Set permissions, approval points, escalation paths, and human oversight around AI-enabled work.
04
Define evidence of success
Agree on baselines, acceptance criteria, and operational ownership before measuring change.
Enterprise architecture
ServiceNow must work with the estate you already have.
Platform outcomes depend on the connections around them. We bring those dependencies into the design conversation early.
01
Identity and access
Clarify who or what can access a workflow, what context follows the request, and where approvals belong.
02
Data and integration
Map the records, systems, and error paths a ServiceNow workflow depends on before it reaches production.
03
Operations and ownership
Design monitoring, support, upgrades, and change ownership into the platform—not around it afterward.
Platform perspective
Product news is only useful when you know what to do with it.
Our focus: the implementation choices, operating questions, and dependencies behind the ServiceNow capabilities enterprise teams are evaluating.
Browse all insightsAI governance01
AI Control Tower
A practical conversation about AI inventory, ownership, risk controls, observability, and value measurement on ServiceNow.
Employee experience02
ServiceNow Otto (Moveworks)
Think through search, employee requests, knowledge, identity, integrations, and how assistants fit into existing service workflows.
Workflow design03
Flow Designer & automation
Design maintainable flows with clear ownership, exception handling, human approvals, and connections to enterprise systems.
Let's Build What's NextReady to See What
Ready to See What
Your IT Investment
Is Worth?
Tell us about your challenge. An AscendWorks enterprise specialist will respond within one business day — with a direct point of view, not a sales deck.
ServiceNow-focused advisory and delivery
SOC 2 Type II Certified
Scope and success criteria agreed up front
Response within 1 business day
Your information is handled with enterprise-grade confidentiality. We never share your data.