Kavanah - 2026 Pricing, Features, Reviews & Alternatives

Kavanah is a multi-tenant SaaS work management platform that consolidates project and task management, team collaboration, client communication, time and billing, planning, reporting, and a governed AI agent into a single shared data model. Designed for agencies, professional-services firms, technology and software engineering teams, financial services organizations, and internal delivery operations, Kavanah eliminates the status-copying and manual assembly that result from running delivery across disconnected tools. The platform is available on web, native desktop (macOS, Windows, Linux), and native mobile (iOS, Android), all built from one codebase so capability and policy changes reach every surface simultaneously.

Work is organized through projects, tasks, and sub-tasks with status, assignees, due dates, dependencies, custom fields, and attachments, viewable across board (Kanban), list, and timeline (Gantt) layouts. Cross-project portfolio planning, sprint planning, capacity and resourcing, goals, and estimate calibration from the workspace's own completion history support planning at scale. Engineering delivery teams gain repository, pull request, deploy, incident, and observability alert visibility alongside the plan through GitHub and GitLab sync. Client portals provide branded, scoped, live project state to external stakeholders without requiring a workspace seat, removing the need for a parallel status document. Time entries logged against tasks and projects are reportable by client, project, or member, with budget tracking and finance-system integration. Reporting surfaces productivity and portfolio dashboards, workspace usage analytics, and recurring scheduled reports delivered to individuals or dynamic groups.

Kavanah's AI agent layer is built on a tool-calling loop with approximately 896 registered agent tools. Named agent personas, called AI Employees, carry their own instructions, model selection, capability scopes across nine capability groups, per-persona tool limits, and member access control lists, making them assignable by any workspace member. The agent can create and update tasks, draft and send correspondence, route and follow up on work, plan sprints from the backlog, triage incoming work, draft pull requests on AI-eligible tasks, and deliver status updates on a schedule or on demand. Spec-to-Tasks converts a markdown specification into a sequenced task plan with estimates and dependencies. Governance controls include safe mode (which strips write tools entirely), an action-policy engine that holds risky actions for human approval before execution, a full action ledger, and an undo stack. AI usage is metered in credits with a per-seat monthly allowance, keeping spend attributable and capped by default. Per-seat pricing starts at $3 per seat per month; a free Starter tier supports up to five members with no seat cap on paid plans.