AI & Technology
AI agents for business can support repeatable tasks such as follow-up, scheduling, data entry and reporting. Seraphim Consulting uses the term AI Employees for purpose-built assistants that work within a defined business process. They are software, not people, and they should not be given unlimited authority. The opportunity is to reduce repetitive work while keeping clear ownership of decisions, exceptions and customer relationships. A useful agent starts with a specific job rather than a vague promise to automate everything.
What it is
We map the task, the information it needs and the action it is allowed to take. A lead follow-up assistant has different requirements from a reporting assistant or a scheduling workflow. Defining a clear starting point and completion condition makes the system easier to test. It also helps distinguish work that can follow rules from decisions that require human judgment, approval or a conversation about the customer's particular circumstances.
Who it's for
Teams with repeatable administrative tasks and clear completion rules are the audience. These assistants are most useful when the business knows who owns each workflow and can keep human approval for sensitive or consequential actions.
What's included
An agent may need information from your website, CRM or calendar, but access should match the task. We discuss permissions, handoffs and what happens when a connection fails or information is incomplete. The person responsible for the workflow should be able to understand what the system did and where attention is needed. Duplicate actions and conflicting instructions are operating risks, so the process needs more than a successful demonstration.
- Task scope and permitted actions
- Information sources and access requirements
- Approval boundaries and exception handling
- Workflow testing and output review
How it works
Testing should include normal requests, unexpected wording and situations where the agent must stop. Your team needs a way to review outputs and correct the underlying process when necessary. AI-generated information may be inaccurate, and autonomous actions need sensible boundaries. We discuss useful measures such as completed follow-ups or reduced manual re-entry rather than assuming any automation creates immediate savings. The workflow should fit your existing operation and customer expectations.
- Choose a defined task rather than an entire department.
- Map inputs, permitted actions and a completion condition.
- Connect appropriate tools and check approval requirements.
- Test exceptions and assign ongoing workflow oversight.