01 · Avoid This
Do not make the first Agent a universal assistant
A universal company assistant sounds attractive, but it is usually too broad for a first Agent. The knowledge scope is wide, permissions are complex, and expectations are scattered.
A better first Agent has a specific role: research assistant, customer material organizer, policy Q&A assistant, approval pre-reviewer, project secretary, or service knowledge assistant.
02 · Use Cases
Six enterprise Agent scenarios worth piloting first
A task is more suitable for an Agent when it requires several steps: reading materials, applying rules, generating intermediate results, calling tools, notifying owners, and waiting for approval.
These six scenarios are usually strong early pilots because they are frequent, explainable, and relatively controllable.
- Document organization Agent: meeting notes, customer files, project materials, industry updates.
- Knowledge Q&A Agent: policies, manuals, SOPs, and project documents with source citations.
- Monitoring Agent: policies, announcements, public opinion, competitors, customer updates.
- Approval pre-review Agent: contracts, expenses, procurement, credit materials, and missing items.
- Reporting Agent: weekly reports, operating analysis, research briefs, and project summaries.
- Customer follow-up Agent: interaction history, meeting prep, next steps, and reminders.
03 · Acceptance
A use case is only ready when it can be accepted
Many Agent projects fail because the requirement cannot be tested. The business wants something 'more intelligent', the technical team ships a chat box, and nobody knows whether it works.
Acceptance criteria should be concrete: whether summaries cover key points, sources are accurate, risk items are caught, output format matches the template, notifications reach the right owner, and processing time is reduced.
- Stable input: file, form, message, table, or API.
- Standard output: summary, checklist, decision, report, or reminder.
- Clear boundaries: what the Agent can and cannot do.
- Human checkpoints: actions that require confirmation.
- Fallback: how humans take over when the Agent fails.
04 · Pilot Path
Build the first Agent in 2-4 weeks, not a six-month platform
The first Agent should be small enough to use. It can serve one team, connect one knowledge base, handle one task, and call only the necessary tools.
After launch, look at three signals: whether users use it daily, whether outputs are accepted, and whether review feedback can improve the system. If those are true, expand scope gradually.
- Map the workflow: trigger, input, steps, output, and confirmation.
- Connect only the necessary documents, tables, or APIs.
- Pilot with 5-10 real users for two weeks.
- Use logs to refine knowledge, prompts, and permissions.