Transform Your ServiceNow Environment with Autonomous Automation
This 4-week Agentic AI Readiness Assessment is a practical, real-world engagement designed to help clients understand how agent-based automation can be introduced into their ServiceNow environment. This is ideal for organizations seeking to move from task-based automation to autonomous agents that can reason, make decisions, and take proactive action across workflows.
We assess your current architecture, data quality, automation maturity, and existing ServiceNow modules to deliver a tailored roadmap that aligns with ServiceNow’s Generative AI and Agentic AI vision—while keeping implementation feasible and grounded in business value.
Challenges AQL Solves
Low Automation Maturity
Automation is siloed or script-based, limiting scalability for complex, multi-step use cases.
Lack of AI/Agent Strategy
No clear plan for deploying AI agents safely and effectively.
Untrusted Data
Incomplete CMDB or fragmented data results in unreliable automation.
Unscalable Integrations
Complex, brittle integrations or manual reconciliation steps hinder efficiency.
Why Choose AQL?
Quick, Actionable Insights
Get clear, prioritized recommendations you can implement immediately.
ServiceNow Best Practices
Align with proven CSDM standards and industry best practices.
Zero Operational Disruption
Focused engagement that won’t impact your daily operations.
Scalable Long-term Results
Build a foundation for sustained CMDB excellence.
Week 1
Align stakeholders, identify use cases, and assess current state maturity.
Week 2
Conduct in-depth analysis of data, process orchestration, and technology architecture gaps.
Week 3
Model agent candidates, evaluate workflows, assess risks, and review compliance.
Week 4
Deliver the Agent Playbook, a tailored roadmap, support plan, and an executive briefing.
Agentic AI Readiness Scorecard
An evaluation of your organization’s readiness for agent-based automation.
2–3 Agent Use Case Feasibility Studies
Analysis of 2–3 potential use cases to assess their feasibility for automation.
Risk and Governance Recommendations
Strategic guidance on managing risks and establishing governance for AI agents.
Agent Playbook (Roles, Data, Policies, and Actions)
A comprehensive framework outlining the necessary roles, data requirements, policies, and actions.
Roadmap & Execution Plan
A detailed plan with clear milestones for the successful deployment of AI agents.
90-Day Post-Assessment Support Plan
Dedicated support to ensure successful execution & continuous improvement during the first 90 days.
