A suitable first task
- Recurs regularly and has a clear owner.
- Uses an identifiable set of information sources.
- Produces an overview, proposal or other reviewable result.
- Has an agreed route for exceptions.
AI Dots
Which workflows suit an AI Dot?
Choose a task that helps an employee and produces a result they can review. These examples show how to turn a broad ambition into a focused Dot assignment.
Prepare cases for review
An employee may open several documents before assessing a case. A Dot assignment could be to prepare an overview of available documents, missing information and questions for the reviewer.
- Use one agreed case folder as the source.
- Identify the source behind each point.
- Separate found facts from open questions.
- Let the employee decide whether the case is complete.
Check an internal work queue
An overview of outstanding internal actions can help a team leader focus on follow-up. Keep the assignment limited to preparing a list with the owner, status and missing information.
We agree which statuses count and when an item becomes an exception. Automatically sending messages or updating records is a separate decision, not an assumed part of preparing the overview.
Research for a recurring meeting
Within a defined assignment, a Dot can collect information for a meeting topic. The result might be a short briefing with sources, uncertainties and subjects that need attention.
- Define the topic and source selection.
- Specify the relevant time period.
- Agree the format and maximum length.
- Have the owner review the briefing before sharing it.
Choose for value and reviewability
Frequent repetition may offer time savings, but the result also needs to be reviewable. Begin with work where your employee can readily decide whether the output is useful.
If you mainly need fixed rules for exchanging information, AI & Automation may fit better. If the assignment spans several responsibilities in a broader role, compare an AI Employee. Our implementation guide explains how a chosen task is tested.
A task that needs a clearer definition
- Has no clear boundary or final result.
- Requires information from unknown sources.
- Contains conflicting working instructions.
- Includes decisions without a responsible reviewer.
Frequently asked questions
Are these examples ready-made Dot products?
No. They are starting points for an assignment. Actual capabilities depend on your information, available apps and workspace. We check these during the intake.
Can a Dot take over my employee's responsibility?
Within our focused service, an employee remains the process owner. The Dot receives an agreed task; exceptions and important decisions have a human responsible for them.
Explore AI Dots
Implementing an AI Dot: from assignment to practical trial
Scope, preparation, trial assignments and handover for your first AI Dot.
Read this guideWhich workflows suit an AI Dot?
Examples for case preparation, research, internal work queues and meetings.
Read this guideConnecting AI Dots to apps and business information
Choose sources, avoid duplicate processing and identify the connections you need.
Read this guideAccess and human review for AI Dots
Use focused access, clear approval points and an owner for exceptions.
Read this guideAI Dot pricing: monthly service or one-time implementation
Understand both BigBase prices and how a Dot differs from an AI Employee.
Read this guideManaging and improving AI Dots after setup
Review quality, time savings and changes without quietly widening the task.
Read this guideDiscuss your first AI task
Tell us which work takes time. We help you choose a service and define the scope in a proposal.