AI systems built for AV integrators

Let AI handle the repetitive work.

AI trained on your projects and standards drafts the programming, fixes and documentation. Your engineers review it.

Book an AI Workflow ReviewSee What We Automate
AV Method // Company AI Platform
How a company AI fits into an integrator's workYour company's rack builds, touch panel layouts, project files, standards and service tickets feed one company AI. It produces drafts — a draft program, an as-built document and a likely fix for a service call — and an engineer reviews and approves each one before it is used.YOUR COMPANYRack buildsPanel layoutsProject filesStandardsService ticketsCompany AItrained on youDRAFTSDraft programDRAFTAs-built docDRAFTLikely fixDRAFTEngineer reviewsAPPROVED
The Problem

Your best people are doing work that doesn't need your best people.

The same tasks repeat on every project.

Where a senior engineer's week goes

Today
Repeat work
Craft
With AI drafts
Review
Craft

Repeats every project → AI drafts it

  • Rebuilding logic
  • Searching old files
  • Repeat questions
  • Writing docs
  • Training new hires

Needs judgment → your team keeps it

  • System design
  • Complex automation
  • Client relationships
  • User experience

Illustrative split, not a measured figure.

Re-solving a solved issueToday a technician digs through a stack of old tickets for 45 minutes. With a company AI, one search returns the fix a colleague found six months ago.TODAY45 minWITH AIno audioPast fix6 mo ago

Re-solving a fix from six months ago

The same modules, rebuilt every projectThree project folders each contain an identical block of initialization code that a senior programmer rebuilt by hand each time.Job AJob BJob CRebuilt by hand ×3

Rebuilding the same modules each job

Knowledge stuck in one headA senior engineer holds years of fixes, programs and documents in their head. Three newer employees reach for it but can't get to it.SeniorengineerNew hires

Know-how stuck in one senior head

Use Cases

What we can automate

Each one built from your own projects, standards and history.

Programming

Past projects + standards → a draft program.

Troubleshooting

A new ticket finds the past fix.

Knowledge

Senior know-how, open to everyone.

Documentation

Docs generated from the work itself.

Estimating

Scope from your past jobs.

Operations

Internal handoffs, automated.

Why It's Different

Generic AI doesn't know how your company builds systems.

It has never seen your module names, your project structure, or last spring's fix.

Generic AI

Generic AIGeneric AI only knows public documentation. It can't see your standards, past projects, preferred products or service history, so it gives a textbook answer.CAN'T SEEYour standardsPast projectsYour productsService historyPublic docsGeneric AITextbook

AV Method

Your company AIA company AI learns from your standards, past projects, preferred products and service history as well as public documentation, so its answers follow the way your team builds.LEARNS FROMYour standardsPast projectsYour productsService historyPublic docsYourcompany AIYour way
Before / After

Spend your engineering time on engineering.

A new programming project, from kickoff.

Starting a new programming project, before and afterBefore: the programmer spends most of the project setting up by hand — creating folders, copying logic from a past project, searching old programs, building initialization, adding standard modules, checking naming and writing documentation — leaving a small slice of time for craft. After: AI builds the foundation from company standards, the programmer reviews it, and most of the time goes to custom UI, complex automation, user experience and system optimization.BEFOREAFTERFoldersCopy logicSearchInitModulesNamingDocsCraftAI buildsfoundationReviewCraftCustom UIAutomationUXOptimizationPROJECT TIME
How It Works

A method, not a magic box

Your engineers stay in control at every step.

  1. 01

    Understand

    Map where your team's hours go.

  2. 02

    Learn

    Train on your projects and standards.

  3. 03

    Build

    Tools inside the way you already work.

  4. 04

    Improve

    Your team reviews; the system keeps learning.

See the full process
Our Philosophy

Automation should not make AV generic.

It should give great integrators more time to create exceptional experiences.

A dark home cinema with tiered red leather recliners, a fibre-optic star ceiling and warm LED strip lighting.

AV is a craft.

Over-the-shoulder view of a programmer's hands typing on a laptop showing code in an editor.

Programming is a craft.

Close-up of audio cables plugged into a rack patch bay with hand-written yellow tie-line labels.

System design is a craft.

Ecosystem

Built around the tools your team already uses.

No new platform. We plug into the systems you already run.

Control & AV platforms

  • Crestron
  • Q-SYS
  • Control4
  • Savant
  • Lutron

Design, estimating & productivity

  • D-Tools
  • Jetbuilt
  • Microsoft 365
  • Google Workspace
  • Slack
  • Teams

Your internal systems

  • Internal documentation
  • Project files
  • CRM
  • Ticketing systems

Platform names indicate the environments we work alongside. They do not imply partnership or endorsement.

ROI

Estimate the capacity you could recover

Plug in your own numbers. An estimate, not a promise.

$
hrs
hrs

Your assumption, not ours.

Estimated capacity recovered
48
Hours / week
2,323
Hours / year
$197,472
Annual labor value
1.2 people
≈ Full-time capacity

Capacity for more projects or onboarding — without hiring yet.

Book an AI Workflow Review

Estimate only, based on the numbers you enter. Not a guarantee of results.

Who It's For

Especially valuable where senior people are the bottleneck

We turn knowledge stuck in a few heads into shared infrastructure.

Programming teams

Same modules, every project.

Engineering departments

Design know-how that's hard to scale.

Service departments

Re-solving already-solved issues.

Operations

Repetitive internal handoffs.

Sales engineering

Scoping that needs engineering knowledge.

Growing integrators

Standards drifting as you scale.

A technician in a denim shirt dresses bundles of network cable inside an equipment rack.
The craft: dressing an equipment rack.
Credibility

Built by someone who actually works in AV.

AV Method grew out of years inside real Crestron, Q-SYS and Control4 projects — watching skilled people rebuild the same logic and re-explain the same standards.

  • Hands-on AV programming
  • Real integration workflows
  • Standards-first approach
Resources

Practical writing on AI for AV

All articles →
Book an AI Workflow Review

What would your team build with 10 more hours every week?

Let's find the repetitive work eating your team's time — and what AI can realistically take off their plate.

How a workflow review worksThree steps: we talk about your team's work, map the repetitive tasks, and give you a plan of what AI can realistically automate.TalkMapPlan
  • 30 minutes with someone who knows AV
  • An honest read on what's automatable
  • No obligation, no slide deck

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