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Embedded Agents

Put graph-backed help inside your product or internal tool.

01

Bootstrap sessions through the widget API.

02

Route conversations to the right graph, workflow, and escalation path.

03

Use RAG and tool calls without rebuilding the agent stack.

Oppulence Desktop
Oppulence desktop app screenshot for Embedded Agents

Why it matters

The Oppulence widget exposes a graph-backed agent inside a product, portal, or internal tool. It uses configured projects, sources, workflows, and tool boundaries instead of a separate support bot memory.

How it works

  1. 1Create a project with sources, workflows, and tools.
  2. 2Embed the widget script or iframe in the target surface.
  3. 3Bootstrap sessions against the widget API.
  4. 4Route conversations to the right workflow and escalation path.

Embedded graph access

Customers or teammates can ask questions from inside the product while the answer path stays tied to the configured graph.

Project-aware routing

Sessions can route to the right project, workflow, and source set so answers match the domain instead of a generic assistant.

Escalation-ready

When an answer is not enough, the same workflow can propose a handoff, draft, ticket, or tool call with review boundaries intact.

Operational outcomes

A faster path to product-embedded AI support.
Consistent answers across product and internal operator tools.
Room to grow from Q&A into controlled action workflows.

Use cases

Where the graph changes the workflow.

The feature pages stay concrete: each capability maps back to work traces, graph context, and a reviewable next step.

In-product help

Answer product questions from a graph that can include docs, support context, and known workflows.

Internal tools

Give operators a focused agent inside the system where they already do the work.

Assisted resolution

Move from answer to proposed next step when the workflow requires action.

Why teams trust the queue

Built for evidence-backed action.

Each workflow keeps the same standards: source evidence, current relationship context, explicit policy decisions, and reviewable execution.

01

Every recommendation includes a reason and source evidence.

02

Verification, policy, approval, and execution remain clear boundaries.

03

Replies, meetings, edits, and revenue outcomes improve future actions.

Related

Keep following the revenue loop.