Cooperly's People Context Layer is the technical layer of its Human Operating System. It keeps the context behind roles, working relationships, and team signals current. Give the same trusted context to the AI tools your team already uses. Access stays selected, permissioned, and read-only.
Input
A plain prompt sent without Cooperly people context.
You · 09:41
Help me prepare for tomorrow's planning sync. It looks like Ben and John are not working well together, and the current project is critical for this quarter's OKR. Give me a plan for how to address this and help Ben and John work through it.
Output
A useful answer, but generic and not team-aware.
AI assistant · 09:42
Cooperly turns profiles, recurring signals, goals, and team memory into a current team picture. Where access is enabled, approved AI surfaces can request the selected context needed to prepare the work.
Step 01
Cooperly brings together working profiles, assessments, recurring check-ins, goals, team memory, and hiring context.
Step 02
Those inputs become structured team context, helping leaders see what is changing, where friction may be building, and what needs attention next.
Step 03
Approved AI access stays read-only and bounded by the workspace, user permissions, OAuth scopes, and team grants.
Step 04
Approved AI surfaces can request the selected context needed to prepare a brief, handoff, conversation, or plan.
People Context Layer
Claude chat and code access
Contextual chat and commands
Linear, Notion, and compatible clients
Use cases
Use selected context to prepare a brief, a handoff, a 1:1, or an onboarding plan. AI helps with noticing, remembering, and preparation; people make the decision.
AI workflow integrations
Frame work and delegation with the right level of detail, ownership, and workload awareness for the teammate receiving it.
Prepare follow-up, planning notes, 1:1s, and difficult conversations with better tone, framing, and context.
Bring role fit, candidate context, and working preferences into the workflows that shape how a new hire lands.
Prepare cleaner handoffs with the right ownership, timing, pressure, and relationship context in view.
Cooperly connects working profiles, relationships, recurring signals, goals, and team memory. Approved tools receive the relevant slice instead of a broad copy of the people system.
| What leaders need | Cooperly | Generic AI | HRIS | Survey tools |
|---|---|---|---|---|
| Understand how the team really works | Connects working profiles, roles, goals, team memory, candidate fit, and recurring signals to show how people are likely to work together. | Uses the context supplied in the conversation or through connected tools. | Keeps employee records and administrative history. | Collects responses at specific points in time. |
| Spot issues before they hurt execution | Combines working profiles with Pulse, Fundamentals, feedback, and team changes so leaders can notice friction, overload, misalignment, and fit risks earlier. | Can reason about a moment from the context it receives. | Reflects changes recorded in people administration workflows. | Tracks changes through recurring survey responses. |
| Know what to do next | Turns connected team context into a leadership roadmap: what to address, what to try, and where to follow up. | Can suggest actions from the context it receives. | Supports people administration and formal workflows. | Surfaces scores, comments, and survey findings. |
| Bring context into approved AI tools | Makes selected, permissioned, read-only context available to approved AI tools for planning, drafting, and preparation. | Context depends on the conversation and the tools connected to it. | Access follows the system's records, roles, and integrations. | Access follows the survey product's reports and integrations. |
Understand how the team really works
Cooperly
Connects working profiles, roles, goals, team memory, candidate fit, and recurring signals to show how people are likely to work together.
Generic AI
Uses the context supplied in the conversation or through connected tools.
HRIS
Keeps employee records and administrative history.
Survey tools
Collects responses at specific points in time.
Spot issues before they hurt execution
Cooperly
Combines working profiles with Pulse, Fundamentals, feedback, and team changes so leaders can notice friction, overload, misalignment, and fit risks earlier.
Generic AI
Can reason about a moment from the context it receives.
HRIS
Reflects changes recorded in people administration workflows.
Survey tools
Tracks changes through recurring survey responses.
Know what to do next
Cooperly
Turns connected team context into a leadership roadmap: what to address, what to try, and where to follow up.
Generic AI
Can suggest actions from the context it receives.
HRIS
Supports people administration and formal workflows.
Survey tools
Surfaces scores, comments, and survey findings.
Bring context into approved AI tools
Cooperly
Makes selected, permissioned, read-only context available to approved AI tools for planning, drafting, and preparation.
Generic AI
Context depends on the conversation and the tools connected to it.
HRIS
Access follows the system's records, roles, and integrations.
Survey tools
Access follows the survey product's reports and integrations.
Automate noticing, remembering and preparation. Never human judgement. Access stays bounded by the workspace, user permissions, OAuth scopes, and team grants.
Read-only access stays bounded by team, role, scope, installation, and team-level permissions.
Approved tools request current Cooperly context instead of relying on a background note copied into every prompt.
Cooperly helps people notice, remember, and prepare. The manager remains responsible for the decision.
Cooperly supplies current people context to approved AI tools while your existing systems keep their own jobs.
Cooperly is a context provider for approved AI tools. It keeps working profiles, team signals, goals, and team memory current, then supplies the relevant slice for the task.
Cooperly keeps working profiles, recurring signals, goals, team memory, and hiring context in one current layer. With selected, permissioned, read-only access, approved AI tools can help prepare the work while people remain responsible for the decision.
