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 assistants, workflows, and canvas the context needed to reason reliably.

Deliver value to employees proactively. Don’t wait for them to ask for help. Get ahead of the needs of your people.

Clous Peer Recruitment Assistant by Clous

Personalize experiences at scale

Sources are first-class objects in Clous. They give assistants, workflows, and canvas the context needed to reason reliably.

Adapt to career preferences

Sources are first-class objects in Clous. They give assistants, workflows, and canvas the context needed to reason reliably.

Source Capabilities

Model context as structured, governed, reusable objects

Structured Source Objects

Represent people, files, links, and internal records as first-class objects the AI system can read, reference, and reuse.

Multimodal Context Layer

Combine workspace knowledge, uploaded files, live links, and product objects into one context layer for assistants 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 assistants, 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 assistants, 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

Assistants, 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.

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 assistant or workflow on top of those sources and validate the output quality

Day 2

Reuse Everywhere

Apply the same source layer across assistants, workflows, canvas, and reporting

Build lasting relationships with candidates through personalized communication and long-term talent nurturing.

Learn more

Ready to Ground Your AI in Real Context?

Build a governed source layer that makes every assistant, workflow, and artifact more useful.