Semantic search and RAG
In "Enterprise knowledge & automation", the "Semantic search and RAG" capability has its own data inputs, decision touchpoint and operating controls
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Enterprise knowledge & automation
Improve search, documents and workflows with controlled AI assistants. The scope brings together semantic search and rag, document extraction, role-based assistants, human-in-the-loop controls. Before delivery, define usable sources, the output contract and the decision owner. Compare options against operating constraints and a value measure so each recommendation connects to an action the team can review.
Central decision
How can scattered knowledge become a safe answer and action?
Improve search, documents and workflows with controlled AI assistants
Explore this solutionSolution capabilities
The solution combines connected capabilities
Every component must connect to an explicit decision and action
Document extraction
In "Enterprise knowledge & automation", the "Document extraction" capability has its own data inputs, decision touchpoint and operating controls
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Role-based assistants
In "Enterprise knowledge & automation", the "Role-based assistants" capability has its own data inputs, decision touchpoint and operating controls
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Human-in-the-loop controls
In "Enterprise knowledge & automation", the "Human-in-the-loop controls" capability has its own data inputs, decision touchpoint and operating controls
Explore this solutionOur process
From question to operational use
Design, test and transfer the solution through a staged path
Discover
Understand the context
Clarify the decision, stakeholders, constraints and current data. Review a sample report and one recurring decision with its accountable owners.
Output: A shared problem framePrioritize
Select the opportunity
Compare options by value, feasibility and risk. Record assumptions, dependencies and the reasoning behind each priority for review.
Output: A prioritized opportunity portfolioShape
Design the path
Define architecture, delivery method and continue-or-stop criteria. Include required sources, responsibilities and control points in the delivery plan.
Output: An executable roadmapPilot
Test in real work
Evaluate a bounded slice in a real workflow with real users. Compare results with a baseline and consider test limitations in the next decision.
Output: Decision-grade evidenceScale
Operate and transfer
Complete controls, monitoring and capability transfer with your team. Transfer documentation, monitoring ownership and an incident path to the operating team.
Output: An owned operational solutionUsable outputs
What your team can use at the end
Outputs adapt to your systems, roles and controls
Citable knowledge base
The "Citable knowledge base" output in "Enterprise knowledge & automation" is prepared for everyday use, decision-owner review and traceability back to source
Specialist assistant
The "Specialist assistant" output in "Enterprise knowledge & automation" is prepared for everyday use, decision-owner review and traceability back to source
Answer-quality monitoring
The "Answer-quality monitoring" output in "Enterprise knowledge & automation" is prepared for everyday use, decision-owner review and traceability back to source
Why this path
Solution value is measured in everyday use
A model or dashboard is useful when the user knows what action to take and the outcome can be traced
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