Built on Microsoft Fabric
Proven enterprise platform, used in production by hundreds of Microsoft customers worldwide – scale, governance and security come as standard.
Microsoft Fabric · Documents · Images · Videos
askmi
Your enterprise knowledge – semantically searchable.
Built on Microsoft Fabric – already deployed at hundreds of Microsoft customers worldwide. askmi combines structured enterprise data with AI analysis: PDFs, documents, images and videos – semantically searchable.
The Challenge
Your knowledge is probably still trapped in silos
Structured data and the spoken word of your organisation exist separately – and that is exactly where the most valuable insights are lost.
Fragmented data landscape
ERP, CRM, databases, SharePoint, cloud buckets – every system speaks its own language, every team has its own data access. Unified evaluations are laborious and error-prone.
Silent knowledge is lost
In meetings, customer conversations and team discussions, valuable insights are created every day – strategies, objections, ideas. They are spoken, but never structured or linked to the data.
AI without context
AI systems and analytics only work on the basis of data they can access. Without spoken context, the 'why' is missing – and answers remain superficial.
The Solution
Two worlds. One intelligence.
askmi adds a completely new dimension to the proven Microsoft Fabric data strategy: the human voice of your organisation.
Results & Output
Semantic Search
Power BI Reports
AI Chatbot
AI Agent Automation
askmi Intelligence Layer
Data Agent · Knowledge Graph · Voice Enrichment · Azure OpenAI · Source grounding
Microsoft Fabric IQ · OneLake
Ontology · Graph · Data & Operations Agents · Semantic Models · Purview governance · Stored once, used everywhere
Enterprise Data (Fabric Shortcuts & Mirroring)
ERP & CRM SAP, Dynamics, Salesforce
SharePoint / OneDrive Dokumente & Wikis
SQL Datenbanken Azure SQL, PostgreSQL …
Cloud Storage Azure, AWS, GCP Buckets
On-Premises Eigene Rechenzentren
Insights from speech, text, audio, image, video and all common data formats (via tellmi, talkmi, showmi, notemi)
Meetings & calls
Recording & transcript, also multilingual
Discussions
Teams chats, comments, feedback
Customer conversations
Own contributions & interview notes
Fabric Shortcuts / Virtualisation Voice Enrichment Layer Purview Governance
Fabric: No data migration required
Microsoft Fabric connects your existing systems via shortcuts and mirroring – data stays in place, no expensive and risky migration project. OneLake forms a unified, governance-ready view across all sources.
Voice Enrichment: The unique selling point
The products tellmi and talkmi (multilingual) record meetings, discussions and customer conversations and deliver structured transcripts. They identify the topics discussed, keywords and the essential elements of the conversation. For usable knowledge management, askmi links these voice insights directly to the corresponding records in OneLake – adding the meaning and interpretation expressed by people to your numbers. Direct analysis of figures with data science or business intelligence methods can thus be combined with human experiential knowledge and stored in a reusable way.
Capabilities
What askmi can do
Nine core building blocks – structured data plus content intelligence for PDFs, Office, images and videos.
Analyse PDF & Office documents (Retrieval Augmented Generation)
Content from PDFs, Word, Excel and PowerPoint is extracted, vectorised and used by Retrieval Augmented Generation (RAG) to deliver grounded AI answers – with source reference down to the exact location.
Process results from tellmi, talkmi, showmi
Transcripts from tellmi, live translations from talkmi and on-screen content from showmi flow directly into askmi – as searchable, semantically linked knowledge building blocks.
Combine tables, conversations, documents and videos into actionable knowledge
askmi combines structured tabular data with texts from conversations, documents and videos – turning them into actionable, business-relevant knowledge with context and source reference.
Semantic search across all sources
One search across structured data, documents, images and videos – in natural language, with source reference down to the exact location.
Automatic content categorisation
AI assigns documents, images and videos to topics, business areas and sensitivity classes automatically – consistent across all sources.
Full data export & download
Your data is yours: fully exportable and downloadable at any time, in open formats – no vendor lock-in.
Customer Managed Encryption
Encryption with your own keys (CMK) in Azure Key Vault – maximum data protection and full control over key rotation and revocation.
Preview from autumn 2026
askmi is available as a preview for interested customers from autumn 2026. Pilot partners actively shape the platform with us.
Platform
Built on Microsoft Fabric IQ
Fabric IQ is Microsoft's workload for a unified, AI-ready view of your business – with shared business semantics that Power BI, notebooks and agents understand alike.
currently in preview
Ontology
Business entities, relationships and rules – defined once, binding everywhere.
Fabric Graph
Native graph store with pattern matching and path queries over OneLake.
Data Agent
Custom Q&A agent that speaks your business terms – not table names.
Operations Agent
Real-time monitoring with recommended, auditable actions.
Semantic Models
Power BI models aligned with the ontology – consistent KPIs everywhere.
Real-Time hub & Activator
Stream processing with rule-based actions across all sources.
Use Cases
How askmi can be used by companies
Sales: Customer conversations + CRM data = complete customer picture
A salesperson asks: "What did customer Müller GmbH criticise in the last three meetings, and how did revenue evolve in that period?" askmi joins tellmi conversation transcripts with CRM and ERP data via the Fabric IQ ontology – consistent in your business terms instead of brittle table joins.
CRM IntegrationConversation AnalysisSales Intelligence
Product development: Customer feedback directly in product data
Product managers discuss features; tellmi captures it; askmi binds mentioned feature names via the ontology to backlog items, ticket system and usage telemetry – so context is never lost.
Product ManagementFeature TrackingTicket System Integration
Compliance: Spoken decisions as audit trail
Compliance-relevant decisions are often made verbally in meetings. askmi archives them, binds them via the ontology to documents and approval processes, and can trigger rule-based follow-ups via Fabric Activator – audit-proof and GDPR-compliant.
ComplianceAudit TrailGDPR
Supply-chain risk via the knowledge graph
Question: "Which orders are at risk if supplier X fails?" The Fabric knowledge graph traverses the supply-chain relationships across subsidiaries and OneLake shortcuts and returns a list plus a risk score – without migrating data between tenants.
Knowledge graphSupply chainCross-tenant
Real-time operations with the Operations Agent
Eventhouse stream + Operations Agent detect an anomaly (e.g. a temperature deviation in logistics). The ontology adds context (which order, which customer, which SLA) and the agent recommends or starts an audited action via Fabric Activator – with a full audit trail.
Operations AgentReal-timeFabric Activator
GDPR-compliant
Fully EU-compliant
Azure Germany
Frankfurt & Berlin
Microsoft Fabric
Hundreds of customers worldwide
Autumn 2026
Preview for early adopters
Cloud Deployment
100% SaaS – no installation
All products run entirely in the cloud. No download, no setup, no IT department needed – just open your browser and get started.
Compatible with all common operating systems:
iOSAndroidWindowsmacOSLinux
Become an Early Adopter
askmi will be available as a preview from autumn 2026. We are already working with selected companies who want to shape the platform together with us as a pilot project.
No spam. No third-party sharing. GDPR-compliant.