How to Reduce or Eliminate AI Hallucinations

AI like ChatGPT promises transformative value for enterprises—but their tendency to "hallucinate" confident, inaccurate answers remains a major barrier to adoption. For IT leaders, hallucinations raise compliance red flags. For business users, they erode trust. And for organizations managing critical data across platforms like Salesforce, NetSuite, HubSpot, and Sage Intacct, inaccurate AI insights can lead to serious operational missteps.

So how can enterprises embrace AI while maintaining control, accuracy, and trust?

Hallucinations stem from lack of access to real data

Hallucinations happen when AI agents and assistants don’t have access to the right data at the right time. Without grounding in live, authoritative data, models rely solely on their training data — or worse, attempt to “fill in the gaps” by fabricating plausible but incorrect answers.

This disconnect is especially risky in enterprise environments where data accuracy is paramount. AI needs direct access to current business context to generate useful, trustworthy insights.

CData Connect AI grounds LLMs in real-time enterprise data

CData Connect AI solves this challenge by connecting AI tools directly to live enterprise data sources, including Salesforce, NetSuite, HubSpot, Google Ads, Sage Intacct, and more. Rather than duplicating or moving data, Connect AI delivers real-time access through a governed, secure interface.

Here’s how it works:

• Live data retrieval: Connect AI acts as a bridge between LLMs and business systems, enabling real-time, query-based access to up-to-date data.

• Secure and governed: IT teams retain full control over which data sources are accessible, who can query them, and how those queries are logged and monitored.

• No-code setup: Business users can explore AI capabilities without needing deep technical expertise, while IT ensures governance before organization-wide rollout.

• Context-aware responses: Because the LLM accesses real business data at the moment of query, answers reflect the most current and relevant context—dramatically reducing hallucinations.

Why this matters for IT and business leaders

For IT teams, Connect AI reduces the risk of shadow AI deployments and accelerates the safe, governed rollout of AI tools across the business. It ensures that all AI interactions with enterprise data are secure, auditable, and compliant.

For business users, it builds trust in AI by delivering accurate, explainable answers rooted in the data they already work with daily. Instead of generic summaries or risky guesses, users get specific, actionable insights that mirror real business conditions.

A better alternative to traditional ETL

Most enterprises have historically relied on ETL or data warehouse pipelines to centralize data for analysis. But this approach introduces latency, increases governance complexity, and doesn’t support real-time AI use cases.

CData Connect AI bypasses these limitations by enabling direct, real-time connectivity to systems of record—without data duplication. That means lower infrastructure overhead, faster AI results, and stronger compliance.

Unlock trusted AI with grounded answers

Reducing hallucinations isn’t just about improving AI—it’s about making AI truly usable in the enterprise. By grounding LLMs in real-time business data, CData Connect AI helps organizations overcome one of the most critical barriers to adoption.

Try CData Connect AI to see how grounding ChatGPT and Claude in your enterprise data sources reduces hallucinations and drives adoption of AI in your organization.

Curious about all the business systems and MCP integrations to AI that work with Connect AI? Explore more and learn here about every Connect AI integration.