New teammate
Starts from the proven method
ProductsUse case · AI onboarding by doing
Do not give a new teammate a blank AI.
Give them the company context, proven skills, active projects, approved tools, agent teammates, and working standards your strongest people already use.
Start free. Help one teammate complete a real shared workflow.
The company starting pointContext, skills, projects, access
Shared in HQRole-ready HQ workspace
Manager
Reviews a real first output
Team
Keeps one shared standard
The teammate learns the company by completing useful work from the same shared system.
Role-ready context from day one
Training through real company workflows
Less dependence on repeated expert rebriefing
The broken workflow
The AI tool is ready. The teammate is still starting from zero.
A new hire can open Claude, Codex, or ChatGPT immediately, but they do not yet know which sources to trust, how the company works, or what good looks like.
Generic training misses the job
The teammate learns features and prompting without practicing the real workflows their role will own.
Experts become the interface
Strong operators repeatedly explain context, find examples, check access, and repair work that began from the wrong standard.
Early mistakes do not become system improvements
Corrections stay in one onboarding conversation instead of improving the starting point for the next hire.
The HQ workflow
Onboard into the way the company already works.
HQ combines role-appropriate access with company knowledge, proven skills, active project context, tools, and review so learning produces useful work.
- 01Manager / operations
Assign the role and boundary
Invite the teammate into the right company, group, knowledge, tools, and projects without exposing unrelated context.
- 02Functional expert
Give them a proven workflow
Share one real skill with its examples, method, source context, and quality checks instead of an empty prompt box.
- 03New hire and manager
Review the first contribution
Have the teammate complete the same useful task as an experienced peer and save the correction for future onboarding.
Why HQ
AI access is immediate. Company judgment has to be transferred.
HQ gives new teammates a maintained company starting point while the AI tool remains the interface they use to learn and contribute.
The layerNew AI accountWith HQ
Starting pointBlank chat and generic model knowledgeRole-appropriate company context and active work
MethodPersonal experimentation and shadowingShared skills, examples, tools, and quality checks
LearningCorrections help one new hireImprovements strengthen onboarding for the next person
What the team can inspect
Onboarding succeeds when a teammate can contribute to real work.
The evidence is a role-appropriate workflow completed from the shared system and reviewed against the same standard used by experienced teammates.
Role-ready access
The teammate receives the right company, group, knowledge, projects, and tools from the start.
Proven first workflow
A real skill includes the inputs, examples, method, and checks the job actually requires.
Reviewed contribution
The manager evaluates useful output and saves learning back into the onboarding system.
What changes
New teammates reach useful work faster.
- 01
Reduce repeated setup and explanation
- 02
Teach the role through company workflows
- 03
Keep quality consistent as the team grows
Your first win
Help one teammate complete the standard workflow.
Start with one role, one shared skill, one active project, and one review that proves the new teammate can continue company work.
Onboard your first teammate- 1
Invite one teammate and assign role-appropriate access
- 2
Share one company skill and one real project
- 3
Compare their output with the experienced standard and save one correction
Built for company work
Onboarding access should match the role.
HQ helps companies give new teammates a useful starting point without making every file, credential, customer, or project universally available.
- Role-appropriate knowledge and project access
- Governed tools and credentials
- Human review during the first workflow
A shared system accelerates context transfer. It does not replace manager judgment, coaching, or the experience required for sensitive decisions.
Start with one workflow
Make the first AI workflow look like the way your company works.
Start with one teammate, one proven skill, and one real contribution another member of the team can review.