Gieni AI at Microsoft Build 2025: Revolutionizing Industry-Specific AI with MCP Integration

Gieni AI took center stage at Microsoft Build 2025, emerging as a flagship example of vertical AI integration within the fast-evolving Microsoft ecosystem. Recognized by Microsoft for its innovative deployment of the new Model Context Protocol (MCP), Gieni AI showcases how artificial intelligence tailored for specific industries can redefine real-time market intelligence, seamlessly embedding actionable insights within Microsoft 365 tools such as Teams, Outlook, Excel, and Word. This milestone for Orderfox Schweiz AG’s platform not only underlines advances in agent-to-agent communication but also signals the beginning of a new era of contextual, workflow-integrated intelligence for enterprise users worldwide.

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Background: A New Paradigm for Vertical AI​

Most generative AI breakthroughs in recent years have focused on broad, horizontal solutions like chatbots or content generators. Yet, businesses across industries have demanded more domain-specific intelligence—tools that understand sectoral nuance and deliver pinpointed, actionable outputs. Vertical AI addresses this need by embedding deep industry knowledge and task-specific logic directly into enterprise workflows.
Orderfox Schweiz AG’s Gieni AI has positioned itself at the forefront of this trend. By leveraging both structured and unstructured company data, advanced reasoning models, and a colossal corpus of web and market data, Gieni AI appeals directly to organizations looking to bridge the gap between generic AI and real-world decision-making.

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Introducing the Model Context Protocol: A Foundation for Interoperable AI​

What is MCP?​

Unveiled at Build 2025, Microsoft’s Model Context Protocol (MCP) represents a foundational leap in the evolution of AI infrastructure. MCP enables AI agents—not just large language models—to contextually interact with other agents and software tools in real time. This means information and insights can flow much more freely and securely between different digital actors in an enterprise environment.

How MCP Revolutionizes Workflow Integration​

• Agents built on MCP can access context from multiple business applications, bridging data silos.
• Secure, authenticated interoperability allows compliance with stringent enterprise data governance standards.
• Real-time interaction between market intelligence tools, productivity apps, and domain-specific databases is now possible without manual context-switching.

For Gieni AI, this integration is not merely cosmetic; it allows organizations to tap into its intelligence directly where daily business processes unfold—within the familiar canvas of Microsoft Teams, Excel, Outlook, and Word.

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Gieni AI: Deep Market Intelligence at Your Fingertips​

Platform Overview​

Gieni AI isn’t another generalized chatbot. Developed by Orderfox, it’s a vertical AI agent tailor-made for market intelligence functions. The platform ingests data from more than 380 million web pages and over 5 million company profiles, applying proprietary semantic search and classification systems to distill raw information into strategic insights.
Key functions of Gieni AI include:

• Generating real-time, context-aware dashboards and market reports
• Providing competition and risk intelligence
• Enriching CRM systems autonomously with verified, up-to-date data

In-Workflow Experience via Copilot Studio​

Gieni AI’s debut as an early MCP Connector on the Microsoft Marketplace for Copilot Studio transforms how market and risk research occur in practice. Instead of toggling between separate platforms or waiting for static reports, users can:

• Identify ESG-compliant suppliers while drafting emails or proposals in Outlook
• Track regional or global competitors directly from within Teams discussion threads
• Instantly benchmark industry trends during Excel analysis sessions

This frictionless experience saves time and removes traditional barriers to insight.

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The Hybrid Intelligence Model Under the Hood​

Combining Human and Machine Reasoning​

Gieni AI distinguishes itself with a hybrid intelligence approach, which melds:

• Proprietary company data (structured and unstructured)
• Zero-shot reasoning—enabling the AI to answer novel business questions without explicit prior training on that topic
• Vector-based database architecture for fast, contextually relevant searches and recommendations

This architecture supports richer answers to complex “why” and “how” questions vital for modern business teams.

Real-Time Use Cases in Business​

Examples showcased at Build 2025 demonstrate practical value, such as:

• Sourcing ESG-compliant suppliers for procurement professionals
• Tracking emerging competitive threats regionally or globally for market analysts
• Analyzing multi-industry trends to inform investment or partnership decisions

Because Gieni AI operates inside Microsoft 365 tools, it delivers these results without the overhead of new user interfaces or steep learning curves.

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Direct Integration With Microsoft 365: Benefits for Enterprise​

Simplified Decision-Making​

Executing market research, competitive benchmarking, or lead qualification no longer requires switching between browser tabs, disparate data platforms, or static PowerPoint summaries. Instead, business users can:

• Ask their most pressing questions in natural language within their workspace
• Receive up-to-date, contextually sensitive answers on demand
• Instantly share findings with relevant teammates across Teams, Outlook, or collaborative Word documents

CRM and Sales Team Transformation​

Sales and account management functions gain particular leverage:

• Automated CRM enrichment with verified, real-time details saves countless manual hours
• In-context lead research shortens the time to qualification and personalization
• Data-driven alerts highlight both emerging opportunities and risks as they arise

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Technical Deep Dive: Data, Security, and Performance​

Proprietary Semantics and Scale​

Gieni AI ingests and processes an unparalleled breadth of data—scouring millions of web pages, company disclosures, financial documents, and industry news. Its semantic search capabilities rely on proprietary algorithms fine-tuned to surface relevant, unbiased, and compliant intelligence in seconds.

Security and Compliance in Vertical AI​

Microsoft’s MCP ensures that AI agent connections meet rigorous enterprise requirements:

• Role-based access and verifiable identity for every agent interaction
• Data residency and privacy controls honoring organizational and industry regulations
• Transparent context-passing and traceable audit logs for regulatory or investigative needs

Orderfox, as a partner, has aligned Gieni AI’s architecture to support these requirements, reassuring CISO teams wary of unchecked AI integrations.

Performance at Scale​

Despite its complexity, Gieni AI is engineered for responsiveness—even with massive workloads. Key optimizations include:

• Vector-based indexing for real-time recommendations
• Cloud-native scaling aligned with Microsoft Azure infrastructure
• Latency thresholds that support workflow interruption-free use in high-tempo sales and strategy environments

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Market Implications: Raising the Bar for Industry-Specific AI​

From Generic to Bespoke Intelligence​

The Gieni AI-Microsoft partnership represents a maturation of the “vertical AI” thesis, where sector-focused intelligence agents are embedded into daily business pluralities. Rather than generic tools, organizations can now rely on purpose-built AI that understands the nuances and regulatory realities of their industries.

Broad Industry Applicability​

Sectors benefiting from Gieni AI integration include:

• Manufacturing: Automated supplier discovery and risk assessment
• Financial Services: Competitor tracking and regulatory trend forecasting
• Technology: Market-entry mapping and real-time partnership intelligence
• Healthcare, Energy, and others: Custom dashboards for regulatory and operational insights

Vertical AI agents like Gieni can serve not just as research assistants but as team members, automating the repetitive and surfacing the strategic.

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Potential Risks and Considerations​

Data Quality and Bias​

Even with sophisticated algorithms, the risk of propagating outdated, incorrect, or biased data remains. Gieni AI addresses this by:

• Cross-validating insights across multiple sources before reporting
• Transparent data provenance in dashboard or report outputs

Nevertheless, enterprises adopting such AI platforms must:

• Routinely audit results for bias or gaps, particularly in fast-evolving markets
• Invest in user training to interpret AI-generated research with healthy skepticism when necessary

Security and Vendor Lock-In​

The convenience of deep Microsoft 365 integration may lead to increased dependency on both Microsoft and Gieni AI, with potential lock-in concerns. Companies must weigh:

• The relative ease of agent replacement or substitution within the MCP framework
• Existing contractual and SLAs governing data and operational continuity

To mitigate these risks, organizations are encouraged to maintain parallel data sources and establish clear exit strategies for agent-based workflows.

Regulatory and Compliance Uncertainties​

As AI agents grow more autonomous and take on critical business functions, legal and ethics teams will need clarity on:

• Data residency, compliance, and cross-border data transfer implications
• Accountability structures for erroneous or damaging AI-generated output

Microsoft and Orderfox’s transparent, auditable approach is a notable strength, but broader industry consensus and regulation are yet to fully emerge.

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A New AI Workflow Standard Arrives​

The appearance of Gieni AI as a vertical AI reference case at Microsoft Build 2025 signals a watershed moment for both enterprise AI adoption and workflow redesign. With the Model Context Protocol, Microsoft paves the way for secure, contextually aware, and infinitely extensible digital workplaces, where best-in-class industry intelligence lives directly in the tools that power daily business.
Orderfox, through Gieni AI, exemplifies how vertical AI agents can translate information overload into actionable intelligence, supporting faster, smarter, and more competitive decision-making. The vision of frictionless, in-context analysis and reporting is no longer a future aspiration—it is now becoming the operational norm for modern enterprise teams.
Enterprises eager to maintain their edge in turbulent markets will find in Gieni AI and MCP a powerful toolbox—provided they maintain diligence around data quality, security, and governance. The new era of embedded, workflow-native vertical AI has begun, and organizations prepared to harness it will be those best equipped to navigate and shape tomorrow’s business landscape.

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Source: GlobeNewswire Microsoft Highlights Gieni AI as Vertical AI Reference at Build 2025

 

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Gieni AI’s spotlight at Microsoft Build 2025 marks a pivotal moment in the evolution of industry-specific intelligence—showcasing how tightly integrated artificial intelligence can fundamentally reshape enterprise decision-making. As part of Microsoft’s unveiling of its Model Context Protocol (MCP), Gieni AI from Orderfox Schweiz AG took center stage, not just as an example of a vertical AI solution, but as a practical catalyst driving the next wave of workplace automation. This recognition delivers a clear signal: sector-focused AI platforms are moving from promising experiments to essential partners embedded throughout business-critical tools.

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Background: Gieni AI and the Verticalization of Artificial Intelligence​

The concept of vertical AI—tailored models and agents deeply tuned to the nuances of specific industries—has been a recurring topic among technology leaders. While horizontal AI applications provide broad capabilities, vertical AI agents like Gieni AI address specialized business intelligence needs, bringing contextual awareness that generic solutions often lack.
Orderfox Schweiz AG, the company behind Gieni AI, developed the platform to unify market, competition, and risk intelligence for industrial clients. The SaaS tool leverages advanced data architectures, hybrid reasoning models, and proprietary algorithms to deliver bespoke insights. This positioning made it a natural fit for Microsoft’s MCP initiative, which aims to interconnect enterprise AI applications across the Microsoft ecosystem.

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Microsoft’s Model Context Protocol (MCP): A New AI Integration Standard​

An Architectural Leap for Enterprise AI​

At the heart of this announcement lies the Model Context Protocol, Microsoft’s answer to the growing demand for seamless, real-time AI interoperability. MCP allows AI agents and software tools to communicate, share data, and respond dynamically within complex workflows—without traditional silos or manual transfer of information.
This protocol acts as middleware, channeling queries and orchestrating responses between Microsoft Copilot, external AI agents such as Gieni AI, and an array of business applications. The outcome: end users enjoy real-time, contextually-aware intelligence inside familiar work environments like Microsoft Teams, Outlook, Word, and Excel.

• Unified Context: AI agents receive detailed, up-to-date work context, improving the precision and usefulness of their output.
• Real-Time Interactivity: MCP-powered integrations can surface answers, dashboards, and recommendations directly in the apps users already trust.
• Marketplace Expansion: By enabling MCP connectors, third-party AI providers gain a direct pathway to deliver services within the Microsoft 365 universe.

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Gieni AI: Advancing the Vertical AI Agent​

From Standalone Intelligence to Embedded Capability​

Gieni AI’s reference implementation of the MCP Connector represents a significant advancement for embedded market intelligence. Instead of toggling between dashboard portals or waiting for batch report generation, enterprise users gain immediate access to bespoke, data-driven answers as they work.
Key feature enhancements include:

• Hybrid Intelligence Model: Gieni AI harmonizes structured business data, unstructured industry reports, and reasoning algorithms, enabling zero-shot responses to new queries.
• Vector-Based Database Architecture: This allows fast semantic search and deep pattern recognition across vast datasets, supporting nuanced risk and competition analysis.
• Verified Data Streams: The platform prioritizes authoritative data ingestion, enriching results with credibility and auditability.

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Seamless AI Inside Microsoft 365: Transforming the User Experience​

Direct Workflow Integration: No More App-Switching​

One of the most practical benefits of Gieni AI’s MCP integration is frictionless, context-rich productivity. Users can, for example:

• Generate Real-Time Market Reports: Pull up dashboards or narrative briefings in Teams meetings or Outlook threads.
• Enrich CRM Workflows: Auto-populate customer records with the latest competitive intelligence or supplier risk data—without leaving Microsoft Dynamics or Excel.
• Enhanced Supplier and Competitor Analysis: Instantly query for ESG-compliant suppliers or track emerging regional players from inside their daily workflow.

These capabilities are designed to eliminate data bottlenecks, reduce context-switching, and empower strategic teams to act on timely intelligence.

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Hybrid Reasoning: The Power Behind Gieni AI’s Insights​

Combining Data, Reasoning, and Industry Nuance​

Gieni AI goes beyond basic Q&A or keyword search. Its hybrid reasoning model blends multiple intelligence streams:

• Proprietary Structured Data: Financials, supply chain, sales, and other internal datasets.
• Unstructured Sources: News, market reports, regulatory filings, social signals.
• Zero-Shot Reasoning: The AI agent can generate accurate answers and recommendations for never-before-seen questions, drawing on broad knowledge and pattern recognition.
• Vector Search and Context Matching: Queries are matched against a vectorized dataset, ensuring responses are both precise and highly relevant to the user's active scenario.

This sophisticated approach enables Gieni AI to provide granular answers to high-value business questions, such as identifying new risks in a supplier base or benchmarking performance against dynamically shifting competitive landscapes.

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Business Impact: How Gieni AI Elevates Decision-Making​

Faster, Smarter Insights for Strategic Advantage​

In the high-stakes world of market intelligence, speed and accuracy are paramount. Gieni AI’s MCP integration delivers competitive advantages by:

• Reducing Manual Research Time: Automated, on-demand insights free up analysts for higher-value activities.
• Boosting Decision Confidence: Consistent, data-backed recommendations lower the risk of costly missteps.
• Expanding Intelligence Reach: Connecting siloed data and surfacing it contextually across Microsoft 365 democratizes intelligence to a wider set of business users.
• Lowering Barriers to Adoption: MCP’s seamless integration and marketplace visibility makes deployment frictionless for IT teams, accelerating time to value.

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Notable Strengths: Why Gieni AI Stood Out at Microsoft Build 2025​

Deep Industry Alignment​

Gieni AI’s selection as a showcase partner underscores its deep vertical alignment with industrial and manufacturing workflows—a market segment often underserved by generic business intelligence tools. Its capacity to ingest and reason on domain-specific taxonomies, regulatory frameworks, and supply chain structures sets a high bar for utility and precision.

Real-Time Copilot Integration​

By being among the first AI agents with an MCP Connector available on the Microsoft Marketplace for Copilot Studio, Gieni AI offers enterprises immediate practical benefits:

• Direct Billing via Microsoft Enterprise Platforms: Simplifies procurement and IT management.
• One-Click Deployment: Minimizes integration headaches, allowing customers to rapidly pilot and scale intelligent workflows.
• Tight Security and Compliance Integration: Leveraging the existing Microsoft 365 security and governance stack reduces risk.

Flexible Query Models​

Whether analyzing ESG compliance, tracking regional competitors, or surfacing sudden market shifts, Gieni AI adapts to diverse business demands without reconfiguration. Its zero-shot reasoning capabilities are tailored for an unpredictable business landscape, where traditional BI scripts or dashboards often fail to keep pace.

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Potential Risks and Critical Caveats​

Data Privacy and Compliance Concerns​

As Gieni AI accesses sensitive internal and market data to inform its insights, robust data handling standards must be both implemented and audited. Enterprises considering vertical AI solutions within Microsoft 365 should scrutinize:

• Data Residency Policies: Ensuring sensitive market and customer data remain within appropriate jurisdictions.
• AI Governance: Transparent reporting on how AI-generated recommendations are synthesized, particularly for compliance-sensitive industries.
• User-Level Permission Models: Enforcing granular access controls to prevent information leakage.

Model Bias and Hallucination Risks​

All AI agents, including those leveraging zero-shot reasoning and vector search, risk introducing false insights or amplifying hidden biases. Independent validation and human-in-the-loop feedback mechanisms remain essential—especially when market-moving or regulatory-critical decisions are at stake.

Vendor Lock-In and Ecosystem Dependence​

While the MCP standard opens new horizons, it also entrenches the role of Microsoft’s ecosystem as the foundation for AI-driven productivity. For businesses with complex multi-cloud or hybrid application stacks, strategic review of potential vendor lock-in is necessary before deep reliance on MCP-native solutions.

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The Road Ahead: Vertical AI Agents Reshape Enterprise Intelligence​

Gieni AI’s moment in the spotlight at Microsoft Build 2025 is more than just a vendor showcase—it signals a broader trend toward the granular tailoring of artificial intelligence for vertical use cases. As the MCP protocol gains adoption, expect a flurry of industry-specific agents to emerge, each engineered to deliver actionable context in real time.
Enterprises able to harness these innovations stand to benefit from greater agility, insight, and operational efficiency. However, the promise must be balanced with vigilant attention to oversight, ethical governance, and measured implementation.
In a landscape where the difference between information and actionable intelligence defines industry winners, the seamless fusion of vertical AI agents like Gieni AI within everyday workflows is poised to become a new competitive baseline. As businesses seek every edge in a rapidly changing world, intelligent, deeply contextual AI is no longer a luxury—it’s quickly becoming an essential standard.

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Source: MarTech Cube Microsoft Showcases Gieni AI as Vertical AI at Build 2025