Proprietary engineering
Analyze a codebase, generate a change, run approved tools, and prepare a reviewable result without broad repository or infrastructure authority.
Use AI on sensitive work. Keep authority request-specific.
Assemble selected files, models, tools, compute, sandboxes, and endpoints for one request. Keep private work, review, and publication under explicit boundaries.
See where Agentic Workspace fitsCustomer fit
Give the request what it needs. Avoid ambient authority.
Infrastructure analysis
Use selected telemetry, models, tools, and diagnostic endpoints to investigate a bounded operational question.
Sensitive-data analysis
Work with a defined financial, healthcare, legal, scientific, or business dataset and govern what becomes shared output.
Selected execution
Assemble the work for one request. Keep durable authority outside the runtime.
An agent’s effective authority can extend beyond the model call. Service identity, credentials, files, mounts, tools, network routes, applications, endpoints, and output paths can combine into access broader than any one permission suggests.
Admin is intended to resolve that combined scope for the task. The selected Resource Edge and Site would materialize eligible data, model, tool, compute, sandbox, application, or endpoint resources; the agent and runtime do not determine their own durable permissions.
Selected for the work
- Approved model, sandbox, application, or endpoint
- Private files, scoped data views, and tools
- Bounded compute and task context
- Request-specific capability and publication path
Kept outside the runtime
- Durable policy and eligibility decisions
- Reusable credentials and route ownership
- Lifecycle and protected-resource authority
- Authoritative evidence relationships
Private work and publication
Work privately. Publish deliberately.
Agentic Workspace separates work in progress from shared state and treats publication as a distinct governed operation.
Private Session
The person or approved agent explores, executes, and refines within request-scoped private work state.
Shared Workspace
Approved participants collaborate around explicitly shared artifacts and state. Private Session content does not become shared merely because it exists.
Publication
An allowed result crosses from private Session state to the shared Workspace or another approved destination through a separately attributable operation.
Illustrative workflow
Prepare a proprietary engineering change for review.
Illustrative workflow pattern, not customer evidence or a product demonstration.
- Required result
- Analyze a defined codebase, prepare a proposed change, run approved checks, and return a reviewable result.
- Actors
- Approved engineer or AI agent, code owner, and reviewer.
- Selected capability
- Scoped repository view, approved model and tools, bounded compute, private work state, and allowed result path.
- Authority to avoid
- Broad repository access, reusable infrastructure credentials, unrestricted tools or network reach, and automatic publication.
- Crossings
- Selected source input, tool and model operations, review, proposed patch publication, and closure.
- Evidence
- Request, resource selection, execution route, material operations, artifact reference, review decision, publication, and closure.
Product boundary and current fit
Govern the bounded request. Keep adjacent controls in view.
Agentic Workspace governs selected resources, execution, private work, review, publication, lifecycle, and attributable evidence. Normal administration is metadata-first; any private-content inspection requires a separately authorized, reasoned, scoped, time-limited, and attributable path.
AI runtimes, model gateways, identity controls, data systems, and surrounding security controls retain their own responsibilities. Exact boundaries and available integrations vary by implementation.
Start with the work
Bring the sensitive result. Define the request around it.
Describe the actors, selected data, models, tools, execution, private work, review, publication, evidence, and ambient authority the workflow should avoid.
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