Consouer / Private AI platform

Consouer

A private AI operating platform for building and running a connected company workspace.

Consouer helps a business define its workflow, map agents to roles, connect tools and company knowledge, and run AI work with approvals, visibility and control. It is designed as a structured operating layer, not just a chatbot or prompt tool.

Structured AI org Create a working team of agents instead of relying on one assistant or one prompt window.
Connected workspace Bring together company documents, systems, approvals and live workflows inside one controlled layer.
Connective layer

Makes a company legible
to AI by default.

Consouer connects the artifacts a company already creates, turns them into an AI-readable operating model, and feeds every new output back into a self-improving loop.

Company artifacts
DOC
Docs and policiesOperating knowledge, process notes, rules and handbooks.
CRM
Customers and pipelineSales context, account notes, service history and deal motion.
OPS
Tasks and workflowsRepeating work, approvals, handoffs and team activity.
OUT
Outputs and decisionsReports, actions, completed work and what changed.
Connective layer Consouer Normalizes artifacts into context, memory, permissions and workflow signals.
AI-readable company
Operating modelRoles, responsibilities, dependencies and current state.
Shared memoryReusable context that agents can safely reference.
Action boundariesPermissions, review paths and approval requirements.
Outcome graphWhat happened, why it mattered and what should improve.
CaptureEvery artifact becomes usable context.
InterpretAgents read the business through structure.
ActWork moves through governed workflows.
ImproveOutputs return as better memory and rules.
Legible by defaultCompany knowledge becomes structured context instead of scattered documents and conversations.
Connected artifactsDocs, tools, workflows and decisions stay connected to the operating model.
Governed actionAgents can read and act through defined permissions, review paths and boundaries.
Self-improving loopOutputs feed back into memory, rules and context so the system gets sharper over time.
What you receive

A private platform layer
built around your business.

AI operating workspaceA dedicated company workspace where your AI structure, workflows and operating logic live together.
Agent org designA mapped structure of specialist agents with defined responsibilities, handoffs and reporting lines.
Connected tools and knowledgeLinks to company systems, documents, portals, Google Workspace, Office 365 and internal context.
Controlled execution setupRules, permissions, approvals and memory so agents can assist or act without becoming uncontrolled automation.
What you benefit from

More leverage, more clarity,
less operational drag.

Clearer ownershipWork is distributed across visible agent roles instead of sitting in one overloaded assistant or one team bottleneck.
Faster executionAgents can handle repetitive and structured work faster while still following your lead and approval rules.
Better connected systemsYour tools, memory and workflows stay in one operating layer instead of being fragmented across separate AI apps.
Measurable AI operationsYou can see readiness, activity and outcomes, which makes AI adoption more useful, accountable and commercially real.
Make your own

Create a proposed
Consouer structure.

If you want to see how Consouer could be shaped around your company, use the brief below. It stays local on this page and creates a proposed AI agent operating structure tailored to the business context, workflow shape and goals you provide.

Quick brief
Local only

Create a proposed Consouer operating map for your company: which agents handle intake, orchestration, company memory, execution, governance and reporting.

Contact Everest Group Back to home
Consouer structure preview
Ready
Systems model Agent mapper Signals connect across the model, then resolve into a clearer AI agent operating structure.
01
Read company brief Pull business context, goals and structural pressure points into the model.
Pending
02
Map agent layers Translate the brief into orchestration, memory, execution and reporting layers.
Pending
03
Connect agent workflows Place specialist agents, shared context and reporting loops where they create the most leverage.
Pending
04
Reveal AI structure Build and reveal the proposed AI agent system below on this page.
Pending
Ready to generate a Consouer structure. Building structure...
Proposed Consouer structure

Consouer output

This map shows how proposed AI agents connect and hand work between layers. Zoom or drag if it feels tight on your screen.
100%
Next step

Turn this structure into a
live operating system.

Everest Group can take this proposed Consouer structure and turn it into a working operating layer with agents, memory, tool integrations and governance built around how your company actually runs.