ServiceNow Expertise

Agentic AI & AI Governance

Deploy and scale production-ready agentic AI to automate workflows and accelerate ServiceNow outcomes

AI Control Tower

AI Control Tower

As AI adoption accelerates across ServiceNow, many organizations struggle to keep track of what is being built, who owns it, and how it is performing. Our team implements the AI Control Tower to bring structure and visibility to your AI ecosystem, enabling innovation to scale without introducing risk.

Unified AI Inventory

We help you surface and catalog AI assets across your ServiceNow environment. Agents, models, automations, and integrations are registered in a centralized inventory tied to your CMDB and service architecture. Teams gain a clear view of what AI capabilities exist, where they are used, and how they connect to business services.

Ownership & Governance

Our engineers design governance workflows that define ownership, approvals, and lifecycle management for AI initiatives. Each agent or model has a clear responsible team, operational standards, and change controls, bringing accountability to AI development.

Runtime Activity & Risk

We implement monitoring that tracks agent execution, workflow activity, and model behavior across the platform. Teams can trace actions, flag anomalies, and identify potential risks early.

Adoption & Business Impact

Link AI activity to meaningful performance metrics, including ticket deflection, resolution time, and productivity gains. Leaders gain visibility into which AI initiatives are delivering value and where to invest next, and Control Tower becomes a central lens for understanding how AI is improving operations.

Now Assist Deployments

Our team helps organizations move AI on ServiceNow from experimentation into real operational workflows. We engineer Now Assist agents that automate tasks, streamline decisions, and embed intelligence directly into day-to-day platform activity.

Purpose-Built Intelligence

RapDev engineers AI agents that align with your ServiceNow workflows, data architecture, and operational logic. These agents execute real platform actions such as updating records, triggering workflows, and routing tasks across modules.

Proven Use Cases

Leverage a library of production-ready agents designed for common operational workflows. These include incident categorization, request triage, approval routing, and knowledge retrieval. Starting with these high-volume workflows helps teams demonstrate value quickly.

Continuous Optimization

We extend agents with retrieval-augmented generation and real ServiceNow context so they improve over time. By referencing platform knowledge, incidents, and operational data, agents can dynamically refine recommendations and actions,  allowing AI performance to evolve as your platform usage grows.

Enterprise Standards

We implement agents within your existing governance and security model so AI operates safely inside your ServiceNow environment. Agents follow approval flows, access controls, and operational guardrails while integrating cleanly with your architecture. 

A2IX: Agentic AI Transformation

A2IX: Agentic AI Transformation

A2IX is RapDev’s framework for helping organizations move from isolated AI experiments to a coordinated, enterprise-wide transformation on ServiceNow. The focus is not just on deploying AI features but building a platform where intelligent agents continuously improve processes and outcomes across the business.

AI Transformation 

We start by pinpointing the workflows where AI can reduce operational load and improve outcomes the fastest.

  • Map opportunities across technology, operations, and employee workflows
  • Prioritize use cases that reduce ticket volume and speed resolution
  • Create a phased rollout that builds momentum while maintaining platform stability

Deploying AI Agents 

Our engineers implement AI agents that actively participate in ServiceNow workflows rather than just providing recommendations.

  • Deploy pre-built agents designed for common operational tasks
  • Build custom agents aligned to your workflows and business logic
  • Enable agents to triage requests, execute tasks, and trigger workflows automatically

Teams gain digital workers who handle repeatable operational work across the platform.

Integrating AI Across the ServiceNow Platform

A2IX connects ServiceNow’s AI capabilities into a coordinated automation layer across services and systems.

  • Integrate Now Assist, AI Agents, Virtual Agent, and workflow automation
  • Connect external systems and enterprise data through APIs
  • Give AI agents access to the operational context needed to make decisions

Scaling AI Safely

Our team designs the architecture and guardrails needed to scale AI without introducing risk. Organizations can expand AI usage confidently while maintaining control over how it operates across the platform.

  • Align AI initiatives with governance, ownership, and lifecycle controls
  • Implement security, access policies, and operational guardrails
  • Track adoption and operational impact across AI use cases

Arlo: AI Agent

Arlo: AI Agent

Arlo by RapDev is a suite of AI Agents designed to automate operational busywork across ServiceNow. Our engineers build agents that analyze platform data, participate in workflows, and automatically generate structured outputs. Arlo handles repetitive operational tasks so engineers can focus on resolving issues and improving systems.

Arlo for ITSM: Incident Documentation

Arlo generates structured incident documentation automatically. It captures context, actions taken, and resolution details in real time, producing consistent write-ups without manual effort. Teams gain searchable records that improve reporting, knowledge sharing, and audit readiness.

Arlo for Update Sets

Arlo analyzes update set contents and generates clear summaries of the changes included. Platform teams no longer need to manually document deployments. Release notes and update summaries are created automatically as development work happens.

Arlo for CMDB CI Deduplication

Arlo identifies duplicate, stale, or conflicting configuration items across the CMDB. It analyzes CI attributes and relationships to recommend merge or cleanup actions. Cleaner configuration data improves the reliability of downstream workflows.

Arlo for Knowledge Management

Arlo generates knowledge article drafts from resolved incidents and support activity. It also flags outdated or incomplete content, helping teams keep documentation accurate and useful.

Arlo for Knowledge Management

Arlo generates knowledge article drafts from resolved incidents and support activity. It also flags outdated or incomplete content, helping teams keep documentation accurate and useful.

Workflow Data Fabric

Workflow Data Fabric

Leverage Workflow Data Fabric to unify structured and unstructured data across systems so AI operates with real operational context. With the right data foundation in place, agents can execute workflows, surface insights, and make decisions based on accurate platform information.

Unified Data Layer for Seamless AI Integration

We design data connections that allow ServiceNow workflows and AI agents to pull from multiple systems without brittle integrations. Our engineers map and structure the data needed for automation so agents can reference incidents, assets, services, and external sources in real time.

Secure, Real-Time Data Foundation

Our team implements data pipelines to keep ServiceNow workflows and AI agents up to date with current information. Instead of relying on stale or fragmented data, automation can reference accurate operational signals across systems. 

A Data Layer That Scales With AI

As organizations deploy more AI agents and automated workflows, the demand for reliable data grows quickly. Our engineers design data architectures that support the expansion of automation without introducing complexity. 

Fast-track time to value and release software faster and more securely

4.7

+

CSAT Score

136

+

Product Certifications

113

+

Accreditations

"RapDev is the Gold Standard for partners. It’s refreshing to work with people who know more than us and we can learn from. It's been a joy to work with them."

Matthew Gross | Manager - Enterprise Tools at Rite Aid

Success Story

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