For 20 years, enterprises worked to make customer relationship management (CRM) the single source of truth for their organizations. Thanks to those efforts, the CRM system has become the standard system of record for most businesses handling customer data, according to REVE Chat.
However, anyone who interfaces with a CRM system understands something fundamental: The record doesn't always tell the truth. Historically, customer service agents and sales reps have verified questionable information they found on the platform so that nothing out of line ever made it in front of a customer.
They also understand that while the CRM system is the system of record for customer data, the data itself often lives outside that system. For instance, billing data on a customer account typically lives in th enterprise resource planning (ERP) system, not the CRM system. Human agents know when to look outside the CRM system for information that might be useful to them.
AI agents don't share those instincts. An AI agent inherits the CRM system's authority without human skepticism, treating the records as ground truth thousands of times per hour. But by the time the information makes it to an AI agent, some of it may be out of date. Other times, it’s just plain wrong.
In the agentic era, customer experience is quietly being compromised by AI models that are doing exactly what they're supposed to do: reaching for a single source of truth.
However, a record can be accurate at rest and wrong in motion. A customer's shipping address can be both correct in the CRM system and wrong at the moment an AI agent reads it, if the customer updated it 10 minutes earlier through a different system of record. An AI agent approving a refund might see a customer's order status showing as “delivered,” when in fact a return was processed an hour ago through a different system that hasn't synced yet, or at all.
Most organizations have failed to implement AI-enabled workflows, according to the ServiceNow Enterprise AI Maturity Index 2026, a survey of 4,500 executives. The share of enterprises that have used AI to streamline and integrate workflows across business functions fell from 30% in 2025 to 16% in 2026. Fragmented systems and AI sprawl, sometimes called “shadow AI,” have made it harder to develop a comprehensive AI strategy.
Silos and fragmentation don't stop errors from spreading. They just make those errors more difficult to catch. Once a stale number enters an agentic workflow, it’s read by an AI agent, acted on, and handed off to the next AI agent in the chain. Each one treats the bad data as fact because nothing has told it otherwise.
The solution is to stop copying data and start reading it live. Currently, many organizations keep information scattered across many systems: CRM, billing, support, and others. Because these systems don't share one database, businesses sync copies between them on a schedule—sometimes hourly, sometimes daily.
That worked fine for humans, who could wait for the sync and catch anything that looked off or toggle between systems and apps that aren't connected. In fact, most customer service reps have to use three to five apps to solve a given issue, according to ServiceNow's The CX Shift, a 2026 report on customer expectations.
AI agents, however, simply act on whatever they're given. An agent should be trained to check the real record the moment it needs a piece of information, every time that need arises. This is why some CRM systems are built around a single data model. An AI agent working off one shared record has nothing to sync and therefore nothing that’s stale.
Among the enterprises furthest along in AI maturity in the Enterprise AI Maturity Index, which we call Pacesetters, 71% set up formal policies for data ownership and control, compared to 22% of others. About two-thirds (67%) of Pacesetters implemented tools to track data in real time, compared to 12% of others.
The technology to read data live already exists. What separates Pacesetters is the discipline to decide who owns each record and how fresh it must be before an AI agent touches it. By prioritizing those two areas, Pacesetters have enabled AI agents to continue doing what they’d been doing, only better: reaching for a single source of truth and trusting it completely.
Find out how ServiceNow can help you ensure your CRM system is a single source of truth.
