Analyst
Uses the approved metric
ProductsUse case · Shared AI integrations
Connect your company tools once. Let the team use them together.
Give authorized people and agents reliable access to the same systems, source-of-truth rules, metric definitions, and reusable workflows without rebuilding every connection.
Start free. Share one governed connection with two authorized participants.
Company systemsData, tools, APIs, MCPs
Shared in HQGoverned company connection
Agent
Runs the saved workflow
Leader
Reviews the same source
One connection, one definition of the data, multiple authorized workflows.
Connect once at the company layer
Reuse approved data across workflows
Keep access scoped without copying credentials
The broken workflow
The integration works for one person. The company still starts over.
A successful personal connection does not give the next teammate the right schema, metric definition, permissions, or saved workflow.
Setup repeats by user and tool
Every teammate reconnects the same system and discovers the same quirks independently.
Definitions drift
Two workflows query the same source but use different fields, date logic, or interpretations of the metric.
Credentials spread
Keys and tokens move through messages and local files because shared access was not designed into the workflow.
The HQ workflow
Make integrations company infrastructure.
HQ keeps the connection, access boundary, source rules, and reusable method together so the data can support more than one operator or AI tool.
- 01Operations / IT
Connect the approved source
Add one company system through the appropriate integration, API, or MCP without embedding raw credentials in prompts.
- 02Data owner
Define how it should be used
Capture the source of truth, important fields, metric definitions, and access boundary around the workflow.
- 03The team
Save the repeatable workflow
Let a teammate or agent run the same approved query and produce a reviewable output from the shared setup.
Why HQ
A personal connection accesses a tool. HQ makes it a team capability.
The models and AI clients still do the work. HQ preserves the company connection and operating context around them.
The layerIndividual AI connectionWith HQ
SetupConfigured separately by each userMaintained once for authorized company work
MeaningSchema and metric logic live with the operatorSource rules travel with the workflow
AccessCredentials and scopes are managed ad hocPeople and agents use governed company access
What the team can inspect
Reliable AI work begins with inspectable inputs.
A connected workflow should make the system, definition, access boundary, and resulting artifact clear enough for the next authorized participant to repeat.
Integration record
The approved system and access method are owned at the company level.
Source rules
Metric definitions and known data constraints live beside the workflow that uses them.
Reusable output
A saved skill, project, or agent run proves the connection works beyond its original operator.
What changes
Company data becomes reusable AI capability.
- 01
Reduce duplicated integration setup
- 02
Keep data definitions consistent across people and agents
- 03
Expand useful access without distributing raw keys
Your first win
Prove one governed connection end to end.
Start with one useful system and one workflow that another authorized participant can repeat without rebuilding the setup.
Connect your first company tool- 1
Connect one approved company source
- 2
Authorize a teammate or agent and define one source-of-truth rule
- 3
Run and save one repeatable output from the shared connection
Built for company work
Connection does not mean universal access.
HQ helps keep credentials out of prompts and applies company membership and permissions to shared systems and workflows.
- Credentials remain separate from workflow instructions
- Access is scoped to authorized people and agents
- Source ownership and limitations stay visible
Each external system still enforces its own capabilities and permission model. HQ does not create access a company has not granted.
Start with one workflow
Connect one system. Make it useful to the whole workflow.
Start with one approved source, two authorized participants, and a reusable result built from the same company definition.