Give the agent a clear mandate
Name the owner, objective, tools, and stop conditions. The agent can prepare work, ask for approval, and complete only the steps it has been allowed to take.
See how agents are definedS/Runtime gives enterprise agents the context and permissions to act across business systems. Sensitive writes pause for approval, and each run keeps the evidence needed to reconstruct what happened.
The agent reads only what the user can access, asks before consequential changes, and leaves a record of what happened.
The run gathers current account context, records the proposed recovery plan, checks policy before a tool call, and holds the CRM write and customer outreach for review.
Illustrative simulation with fictional company data. Shows the intended interaction and control model — not a live customer environment.
A completed run depends on more than a good answer. It needs a clear mandate, current context, durable execution, action controls, and a way to learn from the outcome.
Name the owner, objective, tools, and stop conditions. The agent can prepare work, ask for approval, and complete only the steps it has been allowed to take.
See how agents are definedA run can survive an API failure, a waiting period, or a human review. Checkpoints prevent duplicate writes and give operators a practical way to resume or reconcile unfinished work.
Explore durable executionFetch the records and documents the current user may access, then carry source, ownership, freshness, and workflow state into the agent's working evidence.
Understand the context layerCheck identity, source permissions, data policy, model policy, and action scope at the moment each step runs. Sensitive writes wait for an accountable reviewer.
Review the control modelFollow cycle time, accepted outcomes, exceptions, and cost by workflow. Teams can see where the agent helps, where it stalls, and what needs to change.
See how outcomes are measured“Can the workflow reuse the company’s existing systems and identity model?”
“Which data was read, which policy was evaluated, and who approved the write?”
“Did the workflow finish faster, with fewer exceptions and a clear owner?”
“Can connectors, context, policies, and evaluations be reused across workflows?”
Model APIs supply inference, suite copilots work inside their own applications, and enterprise search retrieves knowledge. S/Runtime coordinates the permission checks, approvals, writes, and run evidence required for cross-system work.
Representative architecture patterns — validate against your own sources, identity model, and actions. Often evaluated alongside Glean, Copilot Studio, Agentforce, UiPath.
S/Runtime is building with design partners. This preview is deliberately honest about what is shown, what is validated in your environment, and what we do not claim.
Platform layers, threat model, solution patterns, data boundary, and the illustrative product simulation above.
Source coverage, identity mapping, retrieval quality, action safety, operator experience, cost, and measurable outcomes.
No certification, authorization, deployment, or quantified customer outcome is implied by this public preview.
We will map the systems, permissions, proposed writes, approval owners, failure paths, and measures that determine whether the workflow is worth piloting.
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