Organizational context layer for AI agents

Theinfrastructurelayerbetweenyourorgandyour
AI agents

Holo captures how your company really works — through voice, enriched with your tools — and turns it into a live knowledge graph any AI agent can query.

Trusted by forward-thinking European enterprises

Capgemini
Sopra Steria
EY
Julhiet Sterwen
Deodice
Artefact
Onepoint
Capgemini
Sopra Steria
EY
Julhiet Sterwen
Deodice
Artefact
Onepoint

Your organization, structured for AI

The first platform where any AI agent can navigate your entire org — from teams and tools down to individual process steps.

holo-backoffice.vercel.app/app/graph
Graph
TeamsToolsProcessesFinanceHRITDocuments
499 nodes1,518 relations
Processes
Supplier payment processing8%
Director alignment meetings8%
Multi-horizon cash forecasting8%
HR mission management via files9%
Customer receivables recovery9%
Strategic initiative piloting10%
Stakeholder consultation10%
Continuous data improvement10%
The problem

Your agents are smart. They just don't know your company.

Because existing AI tools were built for generic knowledge — not your org chart, processes, or tribal knowledge — your agents operate blind.

Agents search documents, not operations

RAG and vector search give agents access to files. They still miss how work actually flows between teams, tools, and people.

80 % of how your org works lives in people's heads

Processes, exceptions, and tribal knowledge aren't in Confluence. They're in the minds of the people who do the work every day.

Without context, agents hallucinate decisions

Agents that don't know your org structure or constraints will suggest generic or wrong actions. Context is the guardrail.

One graph. Every layer of your organization.

From org structure to deep process detail — all connected, all queryable.

Layer 1 — OrganizationLive
DepartmentsTeamsOwnersHolo CoreCRMERPITSM

Your entire org in one graph

Departments, teams, tools and external partners — all captured as nodes in your knowledge graph. See who owns what, which tools support which team, and how information flows across your company.

  • Org structure: departments, teams, roles
  • Tool ownership and team dependencies
  • External partners and data flows

How it works

From first interview to queryable context in hours

Three simple steps to give every AI agent deep organizational context.

Capture via voice interviews

Guided 30-minute voice interviews with key collaborators map your real operational landscape. The AI structures every answer into a queryable graph — no manual tagging, no lost transcripts. Just speak, and your org starts to take shape.

Structured by AI, not left as transcripts.

Let's discuss your organization
Holo

Hi! I'm Holo, your discovery agent. We'll spend the next few minutes mapping how your company works.

Ok, I'm ready to start.

Holo

How would you describe the company's mission? And your main priorities — growth, profitability, innovation…?

Connect with your tools

Your context is ready

Context makes agents more effective

more effective

20% → 20%

Agent task completion accuracy

0 min

Time to first organizational graph

0x

Faster than traditional consulting diagnostics

0

Lines of code needed to give agents context

Integrations

Connects to your entire stack

Start with voice. Layer in data from any source. One unified, queryable graph.

Salesforce

Salesforce

SAP

SAP

Workday

Workday

HubSpot

HubSpot

ServiceNow

ServiceNow

Snowflake

Snowflake

Databricks

Databricks

Zendesk

Zendesk

Microsoft 365

Microsoft 365

Pennylane

Pennylane

Custom connectors available for any enterprise system via REST, GraphQL, or webhooks.

Ready to make your organization readable by AI?

Book a 20-minute demo. See your first organizational graph in action.

No commitment. No 6-month project. Just results.