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Agentic AIIn-house product

Agent Stack

A shared agent layer for knowledge-intensive operating work.

Agent Stack connects business knowledge, tools, and defined workflows so operating teams can build and review agents around real work.

Status
Active product development
Relationship
In-house product
Portfolio
Zelvora
Audience
Organizations exploring governed AI agents for knowledge-intensive operating workflows.
Approved Agent Stack product artworkActive product development

Product vision

Move AI agents from isolated conversations into governed operating workflows.

Business knowledge is usually distributed across documents, systems, presentations, and team practice.

Agent Stack is intended to provide a reusable foundation for connecting that knowledge to tools and reviewable agent workflows.

Overview

An infrastructure layer rather than a standalone chat surface.

The product organizes the elements needed to move from agent experiments toward repeatable business use.

  1. 01 / Context

    Distributed business knowledge

    Important operating context can live across documents, systems, presentations, and team practice.

  2. 02 / Users

    Operating teams

    Designed for organizations exploring governed agents for knowledge-intensive workflows.

  3. 03 / Workflow

    Connect, review, deploy

    Agents are assembled around defined knowledge, operating tools, and reviewable workflows.

  4. 04 / Product idea

    A reusable agent foundation

    A shared layer supports multiple business-ready agents without treating each as an isolated experiment.

Key capabilities

The product, understood through the work it supports.

  • Knowledge connections

    Brings relevant documents, systems, and operating context into an agent workflow.

  • Agent workflows

    Supports focused agents organized around defined business work.

  • Reviewable processes

    Frames agent activity as a workflow that teams can inspect and refine.

  • Tool integration

    Connects operating tools to the shared agent layer where the workflow requires them.

Our role & contribution

Product direction and technical delivery within the Zelvora portfolio.

Agent Stack is part of Aoun’s in-house AI product work. Public detail about the exact architecture and delivery history remains intentionally limited.

Relationship
In-house product
Role
In-house product direction and technical delivery
Organization
Zelvora

Responsibility areas

  1. 01Product direction
  2. 02Agent workflow design
  3. 03Knowledge-system integration
  4. 04Technical delivery leadership

Public boundaryDetailed architecture and the exact delivery role remain subject to public-disclosure approval.

Technology & architecture

A layered product architecture described at a public level.

Specific implementation technologies have not been published.

01Agent layer
Defined agent workflows

Organizes focused agents around operating responsibilities.

02Knowledge layer
Business knowledge connections

Connects approved operating context to agent workflows.

03Integrations
Business tools and systems

Links workflows to the tools required for the work.

Product information

The product at a glance.

Product type
Agent infrastructure
Core workflow
Connect, review, and deploy business-focused agents
Primary users
Organizations exploring governed AI agents for knowledge-intensive operating workflows.
Industry
Technology partnerships · Sales operations
Product status
Active product development
Relationship type
In-house product
Product portfolio
Zelvora

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