Tability is an AI-native OKR and strategy execution platform where goals can be assigned not only to people but to AI agents that check in, report progress, and flag risks on their own.
Most OKR software documents strategy and then waits for humans to keep it updated. Tability is built around closing that loop. You set goals and key results in a goal-setting module with AI suggestions and smart formatting, visualize alignment on a strategy map, and then execution is monitored continuously: integrations sync live data from Jira, Linear, and Salesforce, automated reminders chase human check-ins, and risks surface before they become misses. The distinctive piece is the agent workforce. A Tability agent is given a goal rather than a task list — guided by a job description, a set of skills, and a definition of success, it finds its own path, checks in on its own progress, and stays accountable to the same metrics as the team. Reporting is prompt-driven: build the report you want with a prompt and schedule it to send automatically, pulled from live execution data instead of being compiled by hand. Tability says more than 1,000 teams use the platform, scaling from startups to organizations of 20,000 people, and it offers an API and an MCP server so you can work with your goals and agents from the LLM of your choice. Security includes GDPR compliance and SOC 2-aligned practices, with agent data handled through OpenAI’s Enterprise API and never used for training.
Tability is freemium. Pricing starts at $6 per user per month with no hidden fees, read-only seats are free so the whole company can follow the strategy, and a 14-day free trial requires no credit card.
Tability is for leadership teams, chiefs of staff, and OKR-driven organizations that want strategy execution to report itself — and for forward-looking teams ready to let AI agents own real goals alongside people.