Planoda Research
Original, first-party analysis on AI in work management — landscape assessments, frameworks, and maintained comparison data. Methodology-transparent and free to cite.
What this is
An assessment of how the leading work-management tools actually deliver AI in 2026 — scored across governance, agent autonomy, and surface coverage.
Read the reportA practical framework for letting AI agents take real action on work while keeping humans in control — propose, approve, act, audit.
Read the reportA maintained, dated comparison of how the major work-management tools price their paid tiers and where AI sits in the plan — compiled from public pricing pages.
Read the reportA vendor-neutral trial protocol for evaluating AI in any work tool — four tests you run yourself, no feature-list checkboxes.
Read the reportHow the major work platforms govern their AI agents in 2026 — scored on per-action approval, audit trail, scoped permissions, and cost transparency — compiled from public product documentation.
Read the reportHow seat-plus-credit stacking turns AI in work tools into an unpredictable bill — and why a transparent per-workspace ledger is the honest alternative. A worked cost analysis from public pricing.
Read the reportFrom research to product
See governed AI agents work across every surface — free for small teams.