Studio
A generative AI workbench for enterprises. Secure search, seamless automation, and tailored models in one place.
At a glance
Private search and Q&A
Private search and Q&A on your data with citations and source controls.
Document automation
Document automation for contracts, reports, and emails with reusable templates.
Model orchestration
Model routing and orchestration across open and commercial models.
Quality monitoring
Built-in evals, feedback loops, and quality monitoring.
Native integration
Native integration with Fabric for grounding and Guard for policy enforcement.
Why Studio
Enterprises need more than chat. They need accurate answers, repeatable workflows, and guardrails that scale. Studio turns fragmented knowledge into reliable assistants and automated processes. Teams move from searching for information to shipping outcomes.
What Studio does
Search and Q&A
Retrieval-augmented generation with granular access control and citations.
- •Retrieval-augmented generation over Fabric's semantic layer.
- •Granular access control and result filtering aligned with Guard policies.
- •Citations with page anchors, confidence scores, and source previews.
Document automation
Automated document processing with configurable policies and templates.
- •Contract review and clause extraction with configurable policies.
- •Report generation for finance, operations, and compliance.
- •Summarization, translation, redaction, and format conversion at scale.
Workflows and agents
Visual workflow builder with multi-step automation and tool integration.
- •Visual builder for multi-step flows.
- •Tools and function calling for CRM, ticketing, storage, and internal APIs.
- •Event triggers from webhooks, schedules, or Signals alerts.
Model management
Intelligent model routing with prompt libraries and versioning.
- •Choose the right model per task with routing and fallbacks.
- •Support for open models and hosted APIs through adapters.
- •Prompt libraries, variables, and persona presets with versioning.
Evals and monitoring
Comprehensive evaluation framework with quality metrics and dashboards.
- •Hallucination checks against ground truth.
- •Answer quality scoring with human-in-the-loop review.
- •Cost, latency, and success metrics with dashboards and export.
AI inside Studio
Grounded by design
Studio queries Fabric's structured layer first, then composes answers with sources.
Policy aware
Guard policies apply at retrieval and generation. Sensitive content is masked or blocked before output.
Learning loop
Feedback trains selectors, improves chunking, and tunes prompts over time.
Reasoning tools
Chain of thought is kept private. Explanations present steps, references, and assumptions clearly to users.
Architecture overview
Five-layer architecture ensuring knowledge grounding, orchestration, execution, safety, and observability.
AI workbench architecture: Knowledge, Orchestration, Execution, and Delivery. Guard enforces policy at retrieval and generation. Observability and Evals close the loop for quality, cost, and learning.
Common use cases
Knowledge assistant
Private Q&A for policy, product, and technical docs with citations.
Contract intelligence
Clause extraction, risk flags, playbook suggestions, and comparison.
Financial reporting
Narrative MD&A drafts grounded on governed datasets.
Customer support
Draft replies, summarize tickets, suggest resolutions, create follow-ups.
Engineering enablement
Summarize design docs, generate runbooks, create change logs.
Example templates
Policy Q&A
Search and cite approved documents with confidence scores.
Contract review
Extract terms, compare against playbooks, draft redlines.
Quarterly narrative
Generate MD&A drafts grounded on governed metrics.
Support summarizer
Condense conversations, propose next steps, create tickets.
Ops brief
Daily highlights from Fabric and Signals with links to sources.
How it works, end to end
Select Fabric collections and define access scopes.
Studio builds indexes and proposes retrieval settings.
Choose a starter template or assemble a workflow.
Attach Guard policies for redaction, approvals, and logging.
Publish an assistant to web, Slack, or an embed.
Monitor usage, eval quality, and iterate on prompts and tools.