The Regulars designs and builds custom software, AI workflows, automations, dashboards, and digital infrastructure—then connects them to the way your business actually operates and grows.
Software and automation built around the way real businesses move.
From architecture through deployment, The Regulars turns messy workflows and disconnected tools into practical systems your team can understand, trust, and run.
System blueprint · 01
Custom software
A purpose-built operating layer that fits the decisions, states, and exceptions already inside the business.
Operating briefs, dashboards, exception queues, forecasts, and decision-support views.
02 · Controls
Source traceability, metric definitions, thresholds, ownership, and review cadence.
03 · Delivery path
Data model → signals → interface → operating rhythm → measured outcome.
The connected growth system
Growth works better when nothing works alone.
We start where the business actually runs. Operations creates the backbone; presence establishes the destination; attention creates demand; conversion turns that demand into measurable action.
01↗
Operations
Custom software, connected data, automation, and internal visibility.
Explore the system ↗
02↗
Presence
Website, search footprint, message clarity, and local discoverability.
Explore the system ↗
03↗
Attention
Audience strategy, content, campaigns, offers, and distribution.
Explore the system ↗
04↗
Conversion
Booking, ordering, lead capture, lifecycle follow-up, and attribution.
Explore the system ↗
CONNECTED
Selected systems
Three builds. Three operating problems.
HospitalityOS, FaVela, and our client command centers each begin by modeling the real work—then controlling handoffs and surfacing the next decision.
01Product build · Hospitality intelligenceHospitalityOSTurns fragmented restaurant data into prioritized operating decisions.Pilot-stage product
The operating problem
Sales, labor, reservations, and costs live in separate systems. Managers spend time reconstructing yesterday instead of deciding what needs attention today.
What the system does
Normalizes operating data, detects meaningful variance, ranks exceptions, and converts those findings into a role-aware daily brief with ownership attached.
Built capabilities
Restaurant operating data model
Variance and exception detection
Daily decision briefs
Action and ownership trail
Current scope
A commercial product designed for independent operators and now being prepared for early pilot environments.
02Product build · AI media operationsFaVelaCoordinates a traceable, human-reviewed media production pipeline.Internal product
The production problem
Research, scripting, generation, approvals, and publishing are usually split across tools with weak provenance and no reliable view of production state.
What the system does
Orchestrates source-grounded research through script, voice, presenter, visual production, and final render while preserving explicit human approval gates.
Built capabilities
Stateful production workflow
Claim and source traceability
Provider and spend controls
Human approval gates
Production monitoring
Current scope
An internal media operating system in active development, built for reliable short-form production without surrendering editorial control.
03Client systems · Professional operationsOperational command centersMakes intake, ownership, exceptions, and next actions visible in one place.Active engagements
The workflow problem
Paper, inboxes, disconnected software, and informal handoffs obscure who owns the work, what changed, and which item is now at risk.
What we build
Custom operating layers that capture incoming work, assign state and ownership, route exceptions, preserve review, and surface the next decision.
Typical capabilities
Workflow and state mapping
Document and request intake
Human-reviewed automation
Role-specific visibility
Audit-ready action history
Current scope
Anonymized engagements across engineering, legal, customs, and logistics operations. Each system is designed around the client’s actual workflow.
Select a project to inspect the operating problem, system logic, capabilities, and current scope. Active client details remain intentionally anonymized.
Operator-built
Technology is only useful when it survives real work.
The systems mindset comes from years of leading high-volume teams, complex venues, and live operations where accountability is not optional.
$24M+annual operations led
3,000guest event scale
150+team members led
100+major events produced
How we work
Find the friction. Fix the system. Make the result repeatable.
Purpose
Replace assumptions with a shared, evidence-based view of the current operation.
We examine
Customer and work journeys
Tools, data, and ownership
Handoffs and failure points
Constraints and success measures
You receive
A current-state map, prioritized friction list, explicit project boundary, and measurable definition of success.
Purpose
Correct the structure causing friction before adding technology or automation.
We redesign
Information and user paths
Workflow states and ownership
Exception and review logic
Interfaces and responsibilities
You receive
A target-state design, scoped build plan, and clear specifications for the workflows and interfaces that need to change.
Purpose
Turn separate improvements into one dependable operating system with explicit handoffs.
We implement
APIs, webhooks, and normalization
Routing and workflow automation
Human approval controls
Fallbacks and monitoring
You receive
A connected system that automates repeatable work, preserves judgment, and makes failures visible instead of silent.
Purpose
Close the loop between what the system was meant to do and what happens under real use.
We monitor
Meaningful events and outcomes
Variance and exception patterns
User feedback and adoption
Reliability and operating cost
You receive
A review cadence and prioritized improvement backlog based on evidence—not vanity metrics or feature accumulation.
Built by an operator
Operator / Builder
Ari Sharone bridges the floor and the system.
Ari learned systems in the least forgiving place possible: live operations—where theory disappears and timing, ownership, judgment, and recovery are what remain.
That perspective now shapes every build. He works at the boundary between people and software, translating messy, lived workflows into clear tools without automating away the judgment that makes a business human.
He is interested in the moment a good idea meets a Tuesday afternoon: when the inbox is full, the handoff is late, and the system still has to make sense.
