Tability now makes it easier to delegate goals to AI agents while keeping managers in control of what happens next.

You can choose an active goal, assign an AI manager, and let the agent prepare the work needed to move it forward. Before agents act, they can bring proposals, decisions, access requests, and blockers back to you for review in the new Input required flow.

This means leaders can delegate follow-ups, analysis, planning, and execution support without losing oversight of important decisions.

Use it to:

The AI Importer now helps teams bring existing goals and metrics into Tability faster.

Upload a spreadsheet and Tability can detect Plans, OKRs, initiatives, KPI groups, KPIs, targets, and actuals. Nothing is created until you review the proposal, choose what to include, and confirm the import.

The importer now handles OKRs and KPIs separately, making the process faster, clearer, and more reliable when moving existing planning documents into Tability.

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AI Mode can now use more of your workspace context when answering questions.

It can work with visible KPIs, KPI values, KPI targets, KPI Views, and scheduled prompts, making it easier to ask questions about business metrics and recurring reports without manually gathering the data first.

This is especially useful for leaders who want quick answers about performance trends, team scorecards, and recurring operating updates.

You can now ask AI Mode to help with:

Workspace admins and owners can now export team details from Tability.

This makes it easier to review team structure, support reporting workflows, and keep external records up to date without manually copying information from the workspace.

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Tability now has a Skills Library for Claude and ChatGPT, with reusable workflows that help your AI assistant work with your Tability data through the Tability MCP integration.

Instead of starting from a blank prompt every time, you can pick a skill for the job you need to do: improve OKRs, review weekly progress, spot risks, prepare leadership updates, draft follow-ups, or run better goal reviews.

Each skill gives Claude or ChatGPT a clear workflow to follow, including what Tability context to gather, how to interpret goals and check-ins, how to separate recorded evidence from recommendations, and what the final output should look like.

The skills are read-only by default, so teams can explore insights and review the output before deciding whether anything should be updated.

The Plans page has been refreshed to make it easier to scan, filter, and manage plans across a workspace.

You can filter plans by name, team, and insight signals, switch between all and watched plans, hide finished plans, and take common actions such as creating sub-plans, moving, copying, exporting, archiving, or opening settings from the plan list.

This gives managers a cleaner place to review active work and keep large planning structures organized.

What is improved:

You can now create focused KPI Views to bring the right metrics together for a team, meeting, or leadership review.

Each view can include a selected set of KPIs, ordered the way you want, with its own display settings and access permissions. You can share KPI Views with specific people or teams while keeping the underlying KPIs separate from OKRs and plan cycles.

This gives managers and senior leaders a cleaner way to review operational performance without having to dig through OKR plans or rebuild the same reporting views each time.

Tability now has a dedicated KPI module, giving teams a cleaner way to track business-as-usual metrics separately from OKRs.

You can create standalone KPIs, update their values over time, import KPI data, and decide whether each KPI should be tracked against a target. KPIs also include their own permissions, so you can control access by person or team without tying visibility to an OKR plan.

This makes it easier to keep OKRs focused on strategic change while using KPIs to monitor the ongoing health of the business. Teams can review the metrics they care about without cluttering goal plans or exposing unrelated OKRs.