List every automation someone on your team has wished for. Score each one 0 to 5 on impact and 0 to 5 on effort. The chart sorts them into four quadrants, and the four checkboxes decide whether a build is actually ready to ship. Export the whole thing to Excel or Google Sheets when you are done.
Most AI projects stall in the gap between strategy, build, and adoption. DayNova closes that gap in one engagement, mapping AI to your operating model, building the automations, and embedding the capability in your team.
| Project | Impact | Effort | Score | Quadrant | Owner | Verified output |
Adopt‑ ability |
Failure alerts |
Status |
|---|
Check all four before anyone calls an automation shipped. Three out of four is how a working automation quietly stops working.
Assign a named person to own the automation. Not a team. A person.
Build a check into the workflow so the output is scored against a rubric before the task is complete.
Consider the new user. How will they start this task? Put the automation in their path.
Design failsafes so it can break without a path of destruction, and every failure alerts the owner.
The Excel file keeps Score, Quadrant and Status as live formulas, with dropdown checkboxes and ten spare rows — so whoever you hand it to can keep scoring without opening this page. The CSV is a flat snapshot for pasting somewhere else.
You scored the work. DayNova maps AI to your operating model, builds the automations around your team and stack, and embeds the capability through coaching, so adoption holds past 90 days when most rollouts revert. AI strategy, builds, and training in one engagement.