The Center of Agentic platform

Build, test and operate enterprise agents

From the first business outcome to the next governed release. One platform to create useful agents, check their authority and manage the work they do.

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01Build 02Test 03Operate

01 / Build

Business context becomes a working agent.

Describe an outcome, start with a domain pack, and connect the approved knowledge and systems the work needs. Agent Builder guides you through six steps, from definition to release.

Six-step Agent Builder
Domain packs and knowledge sources
Marketing Cloud and Jira connections

Set the least authority the work needs

Domain model

The concepts, terminology, workflows and risks shared by agents in a business area.

Campaign briefs, audience definitions and release checks.

Business context

Company policies, approved claims, systems and data models that describe how your organization works.

Brand guidelines, product catalogs and Marketing Cloud schemas.

User and task context

The active role, workspace, approved data access and purpose of the current task.

A coordinator prepares a campaign within their granted scope.

02 / Test

Test what must never happen.

Check the boundaries before release. Policy simulations use the same engine as governed runs, without calling a model. Required tests and domain-pack baselines can block publishing.

Policy What-If Simulator
Datasets and regression experiments
Required tests and publish gates

Authority tests ask whether an action is permitted. Output-quality tests ask a separate question: whether an allowed answer is useful.

Explore the release controls

The actual Policy Simulator refuses a Delete record request with PKG_CEILING_NO_GRANT and shows every placement blocked. — Actual product screen with an example configuration in a local test environment. A policy simulation, not customer activity or a measured business result.

03 / Operate

Keep the work visible.
Keep the business in control.

Run agents in Studio. Review held operations. Inspect run receipts and changes in authority across the fleet. Turn reviewed feedback into future tests.

Understand the run evidence

Run and review

Studio, Monitoring and Review Queue bring the work and its exceptions together.

Inspect the evidence

Separate the policy verdict from the execution outcome. See available usage and accounting gaps.

Improve with oversight

Reviewed corrections become tests. Agents do not silently change their own permissions.

Where it works

One platform. Clear availability.

Use the right surface for the work. Available capabilities, alpha experiences and planned surfaces are identified here.

Web workspace

Available

Build, test, run and review agents in the browser, with tenant-scoped access and approval workflows.

macOS desktop

Alpha

Project-scoped local files and cloud-proxied model calls. Restricted or local-only context is withheld from cloud inference; this is not offline AI.

API and webhooks

Available

Tenant-scoped API access and governance-event webhooks. General external-agent governance adapters remain planned.

Slack and email

Notifications

Configured governance alerts can reach Slack or email. Conversational agent execution in these channels is not offered here.

Microsoft Teams

Planned

A collaboration surface is proposed. It is not currently an available agent runtime or approval channel.

Complete model-spend accounting remains in progress. The 420 use case explorer entries are proposals, not deployed agents or verified integrations.