AI Operations for Service Businesses

Your ops team
just got smarter.

Averything deploys AI agents that handle your scheduling, dispatch, lead follow-up, and client communication — so your team focuses on the work that actually grows the business.

Built for operators who move fast. Already running in transportation, logistics, and events.

Run more · Manage less

Your team is spending half their day on coordination — scheduling, follow-ups, dispatch, client updates, routing information between systems. None of it is the actual work. But all of it has to happen, and when it doesn't, jobs get missed, leads go cold, and clients leave.

Averything handles the coordination. Your team handles the business.

In Production

This isn't theoretical. It's running.

Every system we build goes into production. Here's what that looks like.

Transportation & Logistics

Real-time dispatch, running on AI.

A live transportation operation needed to stop losing jobs to slow coordination. We deployed an agentic system that handles real-time dispatch, driver scheduling, and client communications — replacing a manual process that required three full-time coordinators.

Real-time dispatch coordination automated end to end

Driver scheduling and route optimization running 24/7

Client communication handled instantly — no more missed pickups

Events & Hospitality

Thousands of concurrent users, zero wait time.

A major festival needed to handle a surge of attendee questions — directions, lineups, schedules, policies — without staffing a 50-person support team. We built and deployed a conversational AI system that served thousands of concurrent users across the event weekend.

Thousands of simultaneous conversations handled in real time

Zero queue times for attendees during peak hours

Support costs reduced by over 80% compared to staffed alternative

Platform

Everything your business needs to operate on AI.

01

Agentic Ops Deployment

Done-for-you AI agents that run your day-to-day operations — lead handling, scheduling, follow-up, client engagement, and more. Deployed and managed for you.

  • Agents handling your defined workflows
  • Integration with existing tools and CRM
  • Monitoring, alerting, and ongoing optimization
02

Custom LLM Development

A large language model purpose-built for your business. Not a generic model with a custom prompt — a fine-tuned, domain-specific AI system trained on your data.

  • Model scoping and architecture design
  • Fine-tuning, evaluation, and benchmarking
  • Production deployment and API integration
03

AI Architecture & Strategy

For leaders who want to build AI into the foundation of their business — not bolt it on later. We design the stack, map the data flows, and build the roadmap.

  • Technical architecture and documentation
  • Stack selection and vendor evaluation
  • Implementation roadmap with phased milestones
04

Web & Mobile Development

When projects call for a full product build alongside your AI layer, we connect you with vetted development partners. One trusted relationship — we handle the coordination.

  • Vetted partner network for full-stack builds
  • Single point of coordination
  • Seamless integration with AI infrastructure

How it works

From day one to always-on.

Getting AI agents into your business doesn't have to be complex. Averything handles the architecture, the deployment, and the ongoing optimization.

01

Discovery & Mapping

We start with a focused discovery session — understanding how your business operates, where the bottlenecks are, and where intelligent agents can have the most immediate impact.

02

Architecture & Design

We design the agent architecture that fits your stack, your data, and your workflows. For custom LLM projects, this is where we define model scope and integration.

03

Build & Deploy

Whether it's an agentic ops layer, a custom model, or full AI infrastructure — we own the implementation end to end.

04

Operate & Optimize

Agents don't set and forget. We monitor, optimize, and iterate based on real usage — so your AI layer gets smarter over time.

Production-proven

AI dispatch system running 24/7 for a live transportation operation — replaced 3 full-time coordinators

Custom LLM systems fine-tuned on proprietary business data and serving production traffic

Agentic scheduling and communication layer handling real-time driver coordination and client updates

Conversational AI deployed at major festivals — thousands of concurrent users, zero queue times

Built with allies

We don't operate in isolation.

We work alongside a trusted network of specialists — so every client gets exactly what they need at every stage.

Montebelle Peering Services

Automation strategy and workflow design. Our go-to partners when clients need to map their processes before deploying agents.

montebelle.com

Inara Consultancy Services

Full-stack mobile and web development. When projects require native app builds or product engineering beyond agent scope.

inaraconsultancy.com

Who's behind this

Zachary Jackson, Founder of Averything.AI

Zachary Jackson

Founder, Averything.AI

I built this because I was tired of watching good businesses drown in coordination.

Before Averything, I was deep in the operations side of a transportation company — managing dispatch, driver scheduling, and client communications. Every day was the same problem: too many moving parts, too few people to manage them, and too much falling through the cracks.

So I started building. First it was simple automations. Then it was AI agents that could actually understand context, make decisions, and handle the back-and-forth that used to eat hours of someone's day. I deployed systems that ran real-time dispatch. I built chatbots that served thousands of people at live events. I put custom LLMs into production.

What I learned is that the businesses that benefit most from AI aren't tech companies. They're service businesses, logistics operations, hospitality groups — companies where the work is coordination. That's what Averything is built for.

If your team spends more time coordinating work than doing it, we should talk.

Tell us what's eating your team's time.

No pitch deck, no 47-slide presentation. Just a direct conversation about the operations that are slowing you down and whether AI agents can fix them.