As AI and automation tools continue to expand in accounting, many boutique bookkeeping firms feel pressure to adopt new technology quickly — often without a clear way to evaluate cost, risk, or return on time invested. The result is tool fatigue, inconsistent workflows, and automation that creates more complexity than clarity.

This session introduces a practical decision-making approach for applying automation with intention. Designed for owners and managers of boutique bookkeeping firms, the session focuses on how to decide where automation fits within existing workflows, rather than which tools to use. Attendees will be guided through the QUICK framework — a simple evaluation method that examines the quality of inputs, use of professional judgment, impact of failure, controls and accountability, and whether a process is known and documented before applying AI or automation.

Using real operational examples from bookkeeping workflows, the session demonstrates how intentional automation can reduce rework, support staff, and protect capacity without increasing software costs or introducing unnecessary risk. Attendees will leave with a clear framework they can apply immediately to assess automation opportunities in their own firms and make confident, well-reasoned technology decisions.

After participating in this session, attendees will be able to:

• Apply the QUICK decision framework to evaluate whether a bookkeeping workflow is ready for AI or automation support.
• Distinguish between tasks that are currently ready for automation and tasks that require further clarification, documentation, or system maturity before automation is applied.
• Assess the operational risk and potential impact of automating a process, including the consequences of failure and reversibility of errors.
• Identify automation opportunities that reduce rework and cognitive load without increasing software costs or workflow complexity.
• Define appropriate controls and accountability for automated processes to support accuracy, reviewability, and staff confidence.