Structured Source Objects
Represent people, files, links, and internal records as first-class objects the AI system can read, reference, and reuse.
Sources for Context-Aware AI
Turn people records, documents, links, files, and workspace knowledge into reusable source objects that ground every AI action.
Built for AI, People & Ops Teams
Your Context Layer
Sources are first-class objects in Clous. They give agents, workflows, and canvas the context needed to reason reliably.
Beyond time-savings
Sources are first-class objects in Clous. They give agents, workflows, and canvas the context needed to reason reliably.
Beyond stamping AI into existing ops
Sources are first-class objects in Clous. They give agents, workflows, and canvas the context needed to reason reliably.
Human-first decisions with autonomy controls
Sources are first-class objects in Clous. They give agents, workflows, and canvas the context needed to reason reliably.
Business impact measurement for every HR action
Sources are first-class objects in Clous. They give agents, workflows, and canvas the context needed to reason reliably.
Adapts to your company and self-improves
Sources are first-class objects in Clous. They give agents, workflows, and canvas the context needed to reason reliably.
Source Capabilities
Model context as structured, governed, reusable objects
Multimodal Context Layer
Combine workspace knowledge, uploaded files, live links, and product objects into one context layer for agents and workflows.
Grounded Retrieval
Retrieve the most relevant sources at run time so answers, recommendations, and artifacts stay anchored in real company context.
Permissions & Provenance
Track where every answer came from, apply access controls, and keep sensitive context governed across the platform.
Reusable Across Clous
Use the same source objects across agents, workflows, canvas, and reporting instead of rebuilding context for every use case.
Ground Every AI Decision in Real Context
Attach people records, files, links, and notes directly to an AI run
Reuse the same governed sources across agents, workflows, and canvas
Ground summaries, recommendations, and drafts in cited company context
Preserve provenance so teams can inspect where outputs came from
Keep context current as workspace knowledge and platform objects evolve
Key Benefits
Transform how you work with powerful platform capabilities
Higher-Quality Answers
Grounded context reduces generic outputs and helps the AI respond with company-specific detail.
Shared Context Across Products
Agents, workflows, and canvas can all operate on the same source layer.
Explainable Outputs
Teams can inspect source provenance instead of trusting opaque responses.
Faster Deployment
Start with files, links, and existing records without waiting on a large integration project.
Governed Access
Respect permissions and handle sensitive context with clear access boundaries.
Durable Knowledge Layer
Build a reusable context foundation that scales across new workflows and use cases.
What Our Clients Say
'What changed for us was treating sources as objects, not feeds. Once context became reusable, every agent got sharper.'
Jennifer Park
IT Director, GlobalTech
'We can ground an answer in documents, people records, and notes in the same run. That makes the output far more trustworthy.'
Robert Kim
Data Analytics Lead, ScaleUp Inc
'Sources gave us a governed context layer we can reuse across agents, workflows, and reporting.'
Lisa Thompson
Chief Data Officer, Enterprise Solutions
From Raw Inputs to Reusable Context
Go from disconnected files and records to governed source objects that power the full platform.
Minutes
Define Source Types
Start with the objects that matter most: people, files, links, and workspace knowledge
Hour 1
Add Initial Context
Bring in the first records and documents you want the AI to reference
Day 1
Ground the First Workflow
Run an agent or workflow on top of those sources and validate the output quality
Day 2
Reuse Everywhere
Apply the same source layer across agents, workflows, canvas, and reporting
Explore Use Cases
Discover how Clous transforms specific HR challenges into opportunities
Employee Work Match
Platform feature
Employee Work Match
AI-powered matching that connects employees with roles, projects, and opportunities based on skills, experience, and readiness.
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Workforce Planning
Platform feature
Workforce Planning
Predictive analytics and scenario planning to ensure your organization has the right talent at the right time.
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Skills Assessments
Platform feature
Skills Assessments
Comprehensive skill mapping and gap analysis to identify development needs and career progression opportunities.
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Talent Comparisons
Platform feature
Talent Comparisons
Objective, data-driven comparisons of candidates and employees to support fair and effective decision-making.
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Up-skilling & Re-skilling
Platform feature
Up-skilling & Re-skilling
Personalized learning paths and development programs to keep your workforce current and competitive.
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Offboarding
Platform feature
Offboarding
Structured offboarding processes that preserve knowledge, maintain relationships, and gather valuable feedback.
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Candidate Relationship Management
Platform feature
Candidate Relationship Management
Build lasting relationships with candidates through personalized communication and long-term talent nurturing.
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Ready to Ground Your AI in Real Context?
Build a governed source layer that makes every agent, workflow, and artifact more useful.