3rd Party Agents

AI agents are multiplying — without orchestration, they create chaos

The solution

Organisations increasingly deploy AI agents from multiple vendors alongside ServiceNow's native capabilities. Without unified orchestration, these agents operate in silos — duplicating effort, creating conflicting recommendations, and introducing governance blind spots. Pulsar designs and implements agent integration architectures that bring third-party AI agents into ServiceNow's ecosystem, ensuring consistent governance, unified monitoring, and coordinated orchestration. Whether agents come from hyperscalers, specialist AI vendors, or internal development teams, they operate within a single governed framework.

Practice

AI & Data Analytics

The foundation accelerator powering intelligent automation, predictive insights, and data-driven decisions across every practice.

AI Control Tower Integration
Outcomes

What you can expect

01

Unified orchestration of native and third-party AI agents within a single platform

02

Consistent governance applied across all agents regardless of origin or vendor

03

Coordinated agent interactions preventing conflicts, duplication, and contradictory actions

04

Centralised monitoring and performance tracking across the entire agent ecosystem

05

Simplified agent lifecycle management from deployment through retirement

06

Compliance-ready audit trails for all agent actions aligned to AI Control Tower governance

Delivery journey

From first assessment to full velocity

Assess

Inventory existing AI agents across the organisation — native, third-party, and internally built.

Foundation

Design the integration architecture connecting external agents to ServiceNow's orchestration and governance layers.

Enhance

Configure agent routing, handoff protocols, and monitoring within the platform.

Optimise

Establish ongoing governance cadences with AI Control Tower integration for continuous oversight.

Bring Agent Integration to your platform

We'll show you exactly what good looks like — with the people who've delivered it before.