How Bell Canada Leveraged GuardRails AI to Drive Enterprise Use of ServiceNow

If you’re attending Knowledge26, there’s one session that gets directly to the heart of what many organizations with growing ServiceNow environments are already facing:  How Bell Canada Leveraged GuardRails AI to Drive Enterprise Use of ServiceNow.

When Growth Starts to Work Against You

ServiceNow is designed to enable speed and innovation and is the foundation for many leading enterprises. But as adoption expands across the enterprise, dynamics change, and new complexities surface, leading to a growing list of complications. Over time, a common pattern emerges:

• Technical debt begins to accumulate behind the scenes
• Release cycles slow down and become harder to predict
• Upgrade readiness declines or requires constant validation efforts
• Teams slow down by necessity to go back and address unexpected risks that impact progress
• Scalability and responsiveness are compromised, along with the ability to innovate.

The platform is still powerful. But it becomes harder to move forward with confidence.

That’s the point many growing organizations are at today, leading to one critical question:  Is your ServiceNow platform ready to support tomorrow’s business needs?

Why Platform Governance Has to Evolve

According to Gartner, “Traditional governance models have failed because they are periodic, manual, and detached from execution.” Enterprises today realize these approaches weren’t built for the level of scale or speed required for innovation and delivery.  Periodic reviews and manual controls simply can’t keep up with the continuous pace of development across multiple teams and the volume of growth demanded by performance-driven organizations.

The best path to take is to embed AI-powered governance directly into the ServiceNow DevOps lifecycle, making it continuous, automated, and proactive in dealing with risks

The results are immediate.  Risks are identified earlier in the cycle, decisions are made with better visibility, and teams can move forward with greater confidence.

Continuous and automated governance enables three important outcomes:

1. A protected and predictable platform

Risks, like technical debt, become visible and managed before they impact production outcomes.

2. Faster, more reliable delivery

Teams can move more quickly without introducing new risks or rework.

3. Confidence to scale and innovate

The platform can support new business demands without governance becoming a constraint.

How Bell Canada Approached the Problem

Operating a large, fast-moving environment, Bell Canada needed a way to maintain control without slowing down development and innovation. Their approach leveraged GuardRails as a continuous platform governance layer for their ServiceNow environment.

By embedding AI-powered governance into their DevOps lifecycle, they were able to:

• Gain real-time visibility into development risk
• Reduce and manage technical debt early
• Improve platform health and upgrade readiness
• Enable multiple teams to move faster with greater confidence

The result is not just a better-governed platform, but also one that is structurally ready to scale to address the next business need.

See GuardRails in Action at ServiceNow Knowledge26

This session offers a clear, real-world example of what modern ServiceNow governance looks like in actual practice, and the outcomes it enables when properly executed.

If your organization is showing the same patterns related to slowed growth, it may be time to reevaluate your platform governance strategy.  Begin by attending this session.

Then make sure to visit Dyna Software at Booth 5637 to see how continuous, AI-powered governance with GuardRails can help you move from managing complexity to operating with confidence.

Because growth isn’t the problem.  Unmanaged growth is.