Start with the task, not the technology
A useful automation project begins with a repeatable task: reading incoming requests, collecting details, preparing a response, or organizing information for someone else. We work through the steps with your team to identify where AI could help and where human judgment belongs. The goal is a workflow your people can understand and use.
What could an AI workflow help with?
- Email and request intake: summarize a thread and identify unanswered questions.
- Document preparation: organize supplied details into a draft for review.
- Information handoffs: prepare a structured summary for the next person in the process.
- Repetitive administration: evaluate ways to reduce copying information between approved systems.
These are examples to explore, not a catalog of ready-to-use applications. Feasibility depends on your software, access options, and agreed scope.
Choose where a person stays involved
Generating a draft and sending it are different actions. Reading a record and changing it are different permissions. Together, we decide which steps can proceed, which require review, and what the workflow should do when information is incomplete. Your team checks the output before relying on it for business decisions.
From first workflow to ongoing support
We define the inputs, the desired output, and a practical way to evaluate the result. A focused first project gives your team something specific to test. We review accuracy, exceptions, and the effort still required, then refine the setup before discussing wider use.
What affects the scope and cost?
The number of systems involved, integration options, permission requirements, usage, and ongoing support all affect a project. AskLarry discusses these requirements before you commit. Separate AI provider accounts or software subscriptions may be needed; those requirements are confirmed for your setup.