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Free AI check
Twelve questions, about two minutes, no login. You will see where you stand, what makes sense first, and which AI agents fit the way you work.
It will be in your inbox within a few minutes. Your full result is right below.
Whether using AI has a goal and someone decides on it.
There is no shared goal yet. That is normal, but it makes every tool decision arbitrary.
Whether using AI has a goal and someone decides on it.
The direction is visible but not committed to. Half a day of clarity saves months.
Whether using AI has a goal and someone decides on it.
The goal and the decision path are clear. You can start on something concrete right away.
Whether the processes involved run often enough and are written down.
Your processes live in your team’s heads. Writing them down comes before automating them.
Whether the processes involved run often enough and are written down.
The main steps are known, the details are not. For a first agent that is usually enough.
Whether the processes involved run often enough and are written down.
Frequent, documented processes. That is the best possible starting point for an AI agent.
Whether someone in the business works with AI and can carry a project.
AI has not reached day-to-day work yet. Start small and visible, not with the biggest project.
Whether someone in the business works with AI and can carry a project.
Some people already work with it. That knowledge can be turned into the standard.
Whether someone in the business works with AI and can carry a project.
Your team is practised and can carry a project. That shortens the rollout considerably.
Whether rules exist and it is clear which data is involved.
Without rules, tools appear that nobody knows about. A one-page policy is enough to start.
Whether rules exist and it is clear which data is involved.
Rules exist but are not known everywhere. Close that gap before you roll out.
Whether rules exist and it is clear which data is involved.
Clear rules and an awareness of sensitive data. You can take on delicate processes too.
A customer support agent answers recurring enquiries by email and chat and hands only the complex cases to your team.
A back-office agent drafts standard documents from your templates and data, so your team only reviews and approves.
An operations agent connects your systems, moves data and keeps it in sync instead of someone retyping it.
A business analyst agent produces up-to-date reports from your data and answers questions about them.
An operations agent schedules appointments and jobs by your rules and flags conflicts before they become problems.
A back-office agent reads receipts, reconciles them with your systems and surfaces only the discrepancies.
A customer support agent takes standard requests over chat, email and phone and escalates the rest to your team.