Choosing the right pilot and control points for browser automation
A practical checklist for AI-agent research, forms and reporting: task boundaries, permissions, human approval and recovery.
Choose one well-defined recurring task
Start with a limited workflow such as collecting information from specific sources and preparing a summary, rather than “automate our operations.” Make the input, expected output and completion condition explicit.
Write down the current steps. Separate reading information from changing a record or sending a message outside the team.
Evaluate APIs and browser workflows together
Bring the systems’ existing integration options to discovery. Assess direct integration and browser-based work against the same business objective.
Ask Glider focuses on observable workflows on real browser screens. Test its fit against the website, session model and task scope, not only whether it understands the initial instruction.
Define account access and approval boundaries
List the accounts, portals and data that an agent may access. Agree on the narrowest scope needed for the pilot; do not assume a personal session or unnecessary permissions are required.
Treat sending, purchasing, updating and deleting as separate control points. Write down where a person must approve an action and how the workflow can be stopped.
Test visible steps and recovery scenarios
Review how the agent reached its result, not only the final output. Inspect sources, completed steps and uncertainty with the team.
Include expired sessions, changed forms, missing fields and partial completion in your test plan. Agree how retries should avoid repeating a change that has already happened.
Measure savings alongside review effort
Record the current task duration. After the pilot, include human review and correction time alongside the automation’s run time.
Look for an output the team can confidently use, not only a faster run. Choose the next tasks based on the pilot results and team feedback.
Your discovery meeting checklist
- One task and an explicit completion condition
- Allowed sites, accounts and data scope
- Actions that require human approval
- Failure, stop and retry plan
- Success measurement including review effort