AI workflow design
Define the use case, approved sources, expected output, and review step. Establish evaluation criteria and cost boundaries before expanding the workflow.
Naples · Southwest Florida
Practical AI consulting and implementation for businesses in Naples and across Southwest Florida.
The Regulars helps turn disconnected tools, repetitive tasks, and scattered information into systems your team can understand and operate. We connect AI to a defined business problem, with clear ownership and human review where judgment matters.
Talk through your workflowStart with the operating problem
An inquiry arrives in one tool. The next step lives in a spreadsheet. A manager has to reconstruct the context before anyone can act. Before choosing a model or building an agent, we map that path: the inputs, decisions, owners, and points where work stalls.
That makes the scope concrete. A project might focus on preparing an operating brief, finding approved information, routing intake, or helping a team review content. Each workflow needs a clear boundary and a way to tell whether it is working. Some steps are better handled by ordinary software or business rules; AI belongs where its output adds useful context.
Consulting and implementation
Define the use case, approved sources, expected output, and review step. Establish evaluation criteria and cost boundaries before expanding the workflow.
Connect source-grounded research, knowledge retrieval, or content support to a controlled process. Keep provenance and approvals visible so people can assess the output before acting.
Use APIs, webhooks, and business logic to connect intake, routing, follow-up, and handoffs. Define what happens on a retry, who owns an exception, and where manual intervention belongs.
Build interfaces and operating views around the workflow. Bring status, ownership, and next actions into a shared view instead of adding another disconnected tool.
How a project takes shape
Walk through a real task, the tools involved, and the exceptions your team handles. Identify the decision or handoff that needs attention.
Agree on inputs, outputs, access, ownership, and evaluation. Make the human review step and the failure path explicit.
Build the software and connections, then check output quality and operating behavior against the agreed scope. Review errors and edge cases before wider use.
Document how the workflow runs, who owns it, and how to recover when it fails. Use operating evidence to prioritize the next improvement.
The work behind the approach
Ari Sharone brings an operator’s perspective to software: timing, ownership, judgment, and recovery shape the system. The Regulars’ work spans custom software, AI workflow architecture, automation, and decision-support tools.
HospitalityRD is our pilot-stage hospitality intelligence product, designed to turn fragmented restaurant data into prioritized operating decisions. FaVela, an internal product in development, coordinates a traceable media workflow with source context and human approval gates. These projects inform the way we approach state, exceptions, and accountability.
Before we begin
We start by mapping the existing tools and data flow. Where an API, webhook, or supported connection is available, integration can be part of the scope. Access, permissions, and operating constraints need to be understood before a build is agreed.
Bring one workflow that causes repeated friction: what starts it, who handles it, which tools are involved, and what a useful outcome would look like. A clear example is more useful than a long list of desired AI features.
Our service focus is businesses in Naples and across Southwest Florida. Start with a conversation about your operation and the kind of implementation support you need.
The next move
We can start with the task, the handoff, or the decision your team has to make. From there, define a useful first step.
Start a conversationEmail Info@bearegular.tech