illumex Omni for Microsoft Teams: Hallucination-Free AI Copilot Right Where Work Happens

AI is everywhere you look these days, especially generative and agentic AI. Fancy models promise instant answers, faster decision-making, and self-service access to data that eliminates reliance on technical teams.

But there’s a problem. Most AI models cannot understand structured enterprise data. These models are usually trained on generalized data (think Wikipedia and Reddit), and they don’t know the difference between your organization’s definition of net revenue and gross revenue or between margins in finance and margins in healthcare. Such models also miss another key ingredient. They don’t have built-in governance or guardrails. So, when the model doesn’t know something, it guesses.

That’s why 35% of enterprises cite AI mistakes as a top barrier to adoption. It’s why 29% have lost trust due to hallucinations and bias. And it’s why companies are hesitant to put AI-powered responses about data into the hands of non-technical employees. After all, bad data leads to bad decisions.

Well, it’s time to make sure business decisions are made with accurate, governed, easily accessible data, no matter your tech skills.

illumex Omni does just that. Now, it’s available for Microsoft organizations on Microsoft Teams. 

illumex Omni: Easy Access to Governed, Accurate Data for Any User

Omni is already transforming how enterprises implement self-serve agentic analytics inside Slack, giving teams instant access to hallucination-free, explainable, and governed answers about the company’s structured data. 

And now, Microsoft Teams users get the same power, the same accuracy, and the same seamless agentic AI experience without switching apps or learning a new system.

Behind the scenes, illumex activates your metadata: discovering, labeling, and mapping your structured data automatically. 

This isn’t surface-level RAG or a bolt-on chatbot but rather an automated data fabric with built-in context and reasoning. Every answer from Omni is grounded in certified definitions, real business metrics, and always-governed access​. For enterprises and their decision-making capabilities, this changes everything.

AI Should Make Work Easier. So Why Is It Causing More Problems?

Microsoft Teams is where millions of people collaborate every day. It’s where managers make decisions, where data is discussed, and where strategies are planned.

But getting the right data in Teams is still a challenge. 

Are you a non-tech business user in need of a sales forecast? You’ll have to:

• Open a dashboard (that you gotta learn how to use), filter the data, and hope the report is up to date.
• Ask an analyst, wait hours (or days), and hope they understood your request (often they don’t, so you have to request and wait again).
• Or just guess and risk making a decision based on outdated or incomplete information.

This is both frustrating and inefficient.

Agentic AI assistants were supposed to solve this. Instead, they’ve created a new problem: unreliable answers that require constant fact-checking.

The culprit is the data. Too often, structured enterprise data is trapped in silos, labeled inconsistently, and lacks the semantic business context that Agentic AI desperately needs to generate trustworthy, hallucination-free responses.

Without proper AI-ready, inherently governed, and context-rich structured data, your AI model: 

• Treats every question like a Google search. Ask about “revenue,” and it doesn’t know whether you mean revenue by region, by product, or by customer segment.
• Doesn’t understand structured data. It tries to interpret raw data without knowing how tables, metrics, or hierarchies relate to each other.
• Hallucinates. When AI doesn’t have the right information, it fills in the blanks, producing responses that sound right but are – in fact – completely wrong.

This isn’t theoretical. As a recent example, a Stanford study found that AI models hallucinate between 69-88% of the time when handling legal and financial queries. In industries like finance, pharmaceuticals, and healthcare, where one wrong number can mean lawsuits, compliance violations, or lost revenue, AI hallucinations can be dangerous.

illumex Omni solves this problem at its core.

Introducing illumex Omni for Microsoft Teams: Agentic AI That Doesn’t Guess

illumex Omni is not your regular AI chatbot. It’s a deterministic self-service Agentic Analytics system that provides governed, explainable, and accurate responses. Every time.

What makes it “agentic” is that it doesn’t merely react to prompts. Instead, it takes action based on a structured and continuously updated knowledge of your business. Agentic AI doesn’t stop at understanding the words in a question. It reasons through them.

It knows that “customer churn” is a metric with a certified definition, specific filters, historical patterns, and governance rules. It knows how that metric was calculated, what datasets feed into it, and who’s allowed to access it.

This kind of behavior is only possible because illumex gives the AI system agency with business and industry-specific context. This means that it can plan how to respond, choose the right logic, trace the lineage, and show its work. 

Instead of pulling from unverified sources or making probabilistic guesses, illumex Omni grounds every answer in context-rich, governed, structured enterprise data.

Here’s how it works:

• Ask a question in plain English. (“What was our customer churn in North America last quarter?”)
• Omni understands the business context. It recognizes “customer churn” as a specific metric in your business’s structured data, not just a generic term.
• It retrieves a deterministic answer. No hallucinations or approximations, only the verified truth, mapped to your governed data.
• Every response is explainable. Users can see where the data came from, how it was calculated, and whether they have the right permissions to access it.
• And the best part is that your users don’t have to leave Microsoft Teams to get the answers they need. 

Business users don’t have to switch apps, dig through dashboards, or ping data teams for answers. They can just ask – and get instant, accurate responses. This is true self-service data & analytics.

The Problem with Traditional AI Approaches (And Why illumex Takes a Different Path)

Most enterprise AI assistants rely on Retrieval-Augmented Generation (RAG) and model customization techniques to fetch contextual data.

On paper, RAG sounds promising: instead of making things up, the AI model “retrieves” relevant data and uses it to generate responses.

But there’s a catch. RAG still lacks business logic, governance, and transparency, plus: 

• It’s a black box. You don’t know whether your RAG is 50% customized or fully trained.
• It burns through resources. 80% of AI token costs go toward fine-tuning models instead of answering questions.
• It doesn’t scale. It relies heavily on manual customization processes, with every update requiring retraining, leading to unpredictable performance.

It’s no surprise, then, that 90% of LLM deployments for structured data fail to scale to production.

illumex Omni doesn’t rely on RAG. Instead, it’s built on Generative Semantic Fabric (GSF), a breakthrough architecture by illumex that automates context and reasoning, and thus eliminates hallucinations, reduces costs, and makes Agentic AI explainable at scale. 

Unlike RAG, which retrieves unstructured snippets and hopes they’re relevant, GSF generates responses based on deeply structured, contextualized knowledge. That context is continuously maintained through active metadata, so the system knows how terms connect, what rules apply, and who should see what, with transparency for domain experts to check and certify definitions.

How Generative Semantic Fabric (GSF) Eliminates Hallucinations

The Generative Semantic Fabric (GSF) powering illumex Omni guarantees that every AI-generated response is accurate, explainable, and aligned with your unique business logic.

Here’s what is made possible with GSF and Omni:

1. AI That Understands Your Unique Business Context and Language

GSF doesn’t just “read” data. It weaves everything together through its automated semantic data fabric without touching or moving data from its sources. And it also understands how different datasets, metrics, and definitions connect across the organization.

For example, ask it about revenue, and Omni knows which dataset to pull from. Ask about growth by region, and Omni understands that revenue needs to be segmented accordingly. This prevents ambiguity and misinterpretation, a major cause of AI-related errors in enterprises.

2. Answers That Are 100% Explainable

Through GSF, every Omni response is backed by a traceable lineage and a detailed explanation, including the SQL used for the calculation. So users can:

• See where the data came from.
• Understand how the answer was generated and calculated.
• Trust every answer they get without second-guessing.

3. Built-In Governance for Compliance and Security

AI adoption in enterprises often fails because of governance and compliance risks. Especially in industries with strict regulations like finance and healthcare.

GSF solves this by:

• Augmenting governance, automating 90% of manual work. 
• Automatically applying access controls. (Users only see data they’re authorized to view.)
• Enforcing governance and definition certification policies. 
• Eliminating the risk of hallucinations. because every response is automatically matched with governed and certified definitions.

With illumex Omni, enterprises can finally trust AI-powered responses.

Why Microsoft Teams Users Should Care

illumex Omni is already proven inside Slack. Now, Microsoft Teams users get the same advantages:

• Fast, accurate data access inside the platform they already use.
• Eliminated reliance on dashboards, SQL queries, and manual reports.
• Confidence that every AI answer is deterministic and explainable.
• Instead of wasting hours verifying numbers or waiting for analysts to respond, Teams users can make informed business decisions in real time without second-guessing their data.

Trustworthy Self-Serve Analytics. For Everyone.

illumex Omni for Microsoft Teams fixes Agentic AI at its core, delivering trustworthy, deterministic data and analytics answers that drive real business decisions.

Want to see it in action? Book a demo!