How Symantra resolves the 6 challenges of AI in Knowledge Management

Why Generic AI Falls Short in Enterprise Knowledge Management

Using generic, out-of-the-box AI tools inside enterprises presents severe limitations in terms of accuracy and trust, as well as secure data governance.

This challenge is becoming increasingly material. According to Eurostat Dec. 2025, 20% of EU enterprises now use at least one AI technology, up from 13,5% in 2024. Among large enterprises, adoption exceeds 50%, with the most common AI use cases focused on written language analysis, language generation, and document processing. This confirms that AI adoption in Europe is accelerating precisely in knowledge-intensive activities.

Choosing the right AI framework is therefore instrumental to unlocking the true value of generative AI for enterprise staff. In this article, you will discover how Symantra AI agents overcomes the six core challenges of generative AI in knowledge management.

Across Europe, knowledge-intensive organisations already rely on Symantra AI agents to improve market research, accelerate regulatory and risk monitoring, and radically increase the impact of internal knowledge management. Symantra AI agents is designed as a superior technological choice for enterprises that require timely, comprehensive, and accurate insights at scale.

The 6 Core Challenges of Using Generic AI in Enterprises

Despite rapid progress in large language models such as GPT, Gemini, Claude... generic AI tools remain structurally misaligned with enterprise requirements for 6 reasons:

1. Lack of Timeliness: Generic AI tools are not connected to continuously updated internal enterprise data. As a result, answers often reflect outdated, incomplete, or generic information rather than the latest company knowledge.

2. Lack of Transparency: Most public AI models do not provide verifiable sources or citations. This prevents users from validating outputs and makes auditability, governance, and accountability impossible.

3. Lack of Accuracy: Hallucinations remain a systemic risk. Even in 2025, AI models optimize for linguistic plausibility rather than factual certainty. As highlighted by privacy and governance authorities, hallucinations are a governance issue, not a temporary technical limitation.

4. Privacy and Security Risks: Generic AI tools expose enterprises to data leakage, uncontrolled data retention, and unintended data reuse. Organisations cannot fully control how sensitive information is processed or stored.

5. Regulatory Compliance Limitations: Out-of-the-box AI tools are not designed to meet GDPR, EU AI Act, or sector-specific compliance requirements, creating legal and operational exposure.

6. Lack of Integration with Existing Systems: Generic AI tools operate outside core enterprise workflows. They do not integrate deeply with platforms such as Microsoft Teams, intranets, extranets, document management systems, or internal knowledge repositories.

Why Symantra AI agents Is a Better Choice for Enterprise Knowledge Management

Symantra AI agents is a game changer for improving efficiency, accuracy, and cost effectiveness in knowledge-intensive enterprises.

The platform meets the three essential trust criteria required for safe and scalable AI deployment inside enterprises.

The 3 Trust Criteria

1. Timeliness

Symantra AI agents delivers actionable, to-the-point answers in seconds. The custom AI agent is trained exclusively on company-approved documents and internal data. Users can ask questions and receive answers in more than 80 languages, including all official EU languages.

This real-time conversational search goes far beyond traditional filter-based knowledge management systems, where users must configure queries, review long result lists, validate documents manually, and often remain without a clear answer or accurate translation.

2. Transparency

Symantra AI agents provide full sources and citations for every query. Users can always verify the documents and data used in the reasoning process. There is no black-box behavioUr, unlike generic AI tools.

3. Accuracy

Symantra AI agents do not hallucinate, never. Because it operates strictly within a vetted and controlled enterprise knowledge base, all responses are grounded in validated internal data. This prevents plausible but incorrect answers that could lead to flawed decisions.

Solving Enterprise Data Governance Challenges

Symantra AI agents directly address the 3 major data governance requirements faced by EU enterprises.

1. Privacy and security

Granular access rights ensure users only see authorized information. All data is encrypted. Files are not stored, and no data is shared externally.

2. Regulatory compliance

Symantra AI agents are fully compliant with GDPR and aligned with EU AI Act requirements.

3. Integration with existing systems

The platform integrates seamlessly with Microsoft Teams, Microsoft environments, and corporate intranets, embedding AI-driven knowledge access into daily workflows.

Why Traditional Knowledge Management Software Underperforms

Traditional knowledge management software is structurally outdated. Even with investments reaching millions of euros, these systems remain costly, inefficient, and poorly adopted.

AI is progressively replacing legacy KM platforms, in the same way conversational AI is reshaping enterprise search.

This transition has been accelerating in 2025, as confirmed by EU adoption data showing that language-based AI use cases are now the most common across enterprises.

Poor Employee Experience: Legacy KM systems force users to adapt to the tool rather than the tool adapting to users. Employees face clunky interfaces, slow search performance, outdated listings, and limited multilingual capabilities.

Significant time is lost configuring filters, reviewing documents, cross-reading content, and manually summarizing information to reach a partial answer. KM systems deliver document lists rather than answers. They provide no conversational refinement, no recommendations, no instant summaries, and no reliable translations.

Adoption remains low. Many employees bypass KM systems entirely, relying on informal workarounds that further fragment enterprise knowledge.

Traditional KM platforms require constant manual effort from administrators and end users for uploading, tagging, configuring, testing, and maintaining content. They are often poorly integrated into the broader enterprise technology stack.

Analytics rarely provide a clear view of real adoption versus total cost, including setup, maintenance, updates, support, and training.

Symantra AI agent as a game changer to navigate your enterprise data.

The Symantra AI agent achieves something beyond the capabilities of both Knowledge Management software and humans.

Its unique proficiency in conducting data and document searches using everyday language (NLP) is what sets it apart, making its service both accessible and invaluable.

Symantra's contextually intelligent AI agent presents a cutting-edge technological solution that significantly boosts efficiency, precision, and cost-effectiveness within knowledge-driven enterprises.

Symantra AI agent improves Employees or Members experience

• Transparency & Trust: Cites sources for each answer. User can track each source in 1 click to fact check the underlying data used to generate answers.
  

• Conversational Search: Answers questions with “natural language query” (NLQ): 

o Staff can use the AI agent to ask a technical question about operating procedures. (and refine the questions, check the sources…)

o A marketing manager can use the AI agent to browse comms material and draft messaging/speaking points. (and refine answers by change of tone, …) 

o …

• Interprets Images, Tables, Charts: Understands all types of documents (pdf, PPT, FAQs, video, charts, images …)

• Summarize (in 5 lines, in 10 lines, in 30 lines...): 
  

o A staff can create a Venn diagram that summarizes key points from an executive’s presentation or a market report.

o The answers style and tone can be adapted to each user persona (Marketing, Finance, C-suite, ...)

• Multilingual: Prompts & Answers in 80+ languages.
  

• Create quizzes: Instant Q&A to test the staff knowledge/upskilling.
  

  
  

Symantra AI agent drives efficiency: your staff works smarter

• Productivity gains: No more document organizing into folders, tagging, encoding,… in the DB for admin. No time loss in searching and re-screening for end-users. Symantra AI agent can be trained on thousands of unstructured data and documents, whatever their languages.
  

• Data Gathering & extract hidden insights: Your team in charge of Knowledge management, Staff onboarding/upskilling, Internal Communications...can pro-actively collect pain points, most frequently asked questions, preferences... With Symantra AI agent, your enterprise can unbox some hidden insights about your work collaboration culture and identify broken work processes. For sure, you cannot get these qualitative insights in traditional KM systems.
  

• Perfectly integrations in your Tech Stack: Teams + Intranet (not another software/login required).
  

• Significant Cost savings in comparison to Knowledge management software global costs.
  

Check Symantra's AI offering- Book your demo now.

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