AI & Workflow Automation

Start With The Workflow

Repeated data entry, delayed handoffs, and unanswered routine questions are useful starting points for investigation. Before choosing a tool, we map the trigger, information required, decision rules, exceptions, and person responsible for the outcome.

Predictable tasks may need simple rules rather than AI. Tasks involving variable language may suit an assistant, provided its information sources, permissions, and handoff to a person are clearly defined.

What We Review

• Task volume, time spent, error patterns, and the consequences of a mistake.
• Where information originates and which system should remain the authoritative record.
• Existing subscriptions, integration options, access permissions, and data quality.
• Exceptions, approval requirements, and situations requiring human judgment.
• Who will monitor the workflow and maintain it when the business changes.

What We Can Design

• Lead intake, routing, follow-up reminders, and CRM updates.
• Administrative assistants grounded in approved business information.
• Document classification and draft summaries with review before use.
• Notifications, approvals, task creation, and reporting across existing systems.
• Internal knowledge tools that help staff locate relevant procedures.

Build A Controlled Pilot

We document the workflow and test it on representative examples before expanding access. A pilot includes failure handling, duplicate prevention, activity logs, and a clear route back to manual work.

For an AI assistant, we test answer quality, unsupported requests, escalation, and access boundaries. The implementation scope should identify the owner of the underlying content and the approval process for future changes.

Assess Time, Quality, And Reliability

Useful measures include handling time, completion rate, exceptions requiring review, response time, and correction effort. Savings should account for supervision and ongoing software costs, not only the steps removed.

Automation is unsuitable when the process is still undefined or no one can verify the result. In those cases, we clarify the process and responsibilities first.