Use Cases

How AI shows up inside a working AV company.

Six situations integrators describe most often. No invented metrics, no fictional customers.

A wood-panelled media room with a wall-mounted touch panel and keypad, ceiling track lights, and a large display above an equipment credenza.
Today
One programmer, every jobFour new home projects queue up for a single senior programmer. Each one starts with the same manual setup block before any real work begins.Job 1setupJob 2setupJob 3setupJob 4setup1 programmerday 1 = setup
Residential · Crestron dealer

The senior programmer is the whole department

Every new home starts with the same manual setup — and stalls when that one programmer is out.

With AI
  1. 01Learns your programs
  2. 02Generates job scaffolding
  3. 03Surfaces similar rooms

Realistic outcome: Setup is drafted and reviewed fast. No single point of failure.

Today
Same system, three structuresThree engineers each build the same type of Q-SYS design, but each structures it differently, so the drift shows up later in service and handoff.Eng AEng BEng C3 builds, 3 styles
Commercial · Q-SYS integrator

Scaling standards across more projects than people

Each engineer structures Q-SYS designs a little differently, and the drift shows up in service and handoff.

With AI
  1. 01Encodes your patterns
  2. 02Checks work against them
  3. 03Scopes from past jobs

Realistic outcome: Every project starts from one company-standard foundation.

Today
Knowledge stuck in one officeThe original office holds years of solved problems in people's heads and old project files. Two newer offices in other cities hit the same problems with no way to reach that knowledge.Original office?City 2?City 3
Multi-office integration company

Knowledge trapped in one location

Newer offices keep hitting problems the original team solved years ago.

With AI
  1. 01Captures past fixes
  2. 02Searchable in every office
  3. 03Keeps standards as you grow

Realistic outcome: Expertise stops depending on which building you work in.

Today
Standards slowly erodingThe company's standards sit in a document nobody opens mid-project. As headcount grows, each new project drifts a little further from the standard layout.StandardsunreadP1P2P3P4team grows
Growing firm · standards drift

Excellent standards, slowly eroding

As headcount doubled, projects drifted from standards that live in documents nobody reads mid-project.

With AI
  1. 01Learns your standards
  2. 02Shows them while you work
  3. 03Flags drift for review

Realistic outcome: Quality stays recognizable as the company scales.

Today
Hunting through old ticketsA service technician digs through a tall stack of past tickets, spending close to an hour looking for how a colleague fixed the same problem six months ago.Techsame fixnearlyan hoursolved6 months ago
Service department

Re-solving problems the company already solved

A tech can spend most of an hour finding how a colleague fixed the same issue months ago.

With AI
  1. 01Searches tickets & manuals
  2. 02Spots recurring fixes
  3. 03Drafts the service notes

Realistic outcome: Less hunting, more fixing — and each fix speeds up the next call.

Today
Proposals wait on one engineerThree salespeople each need a system sized before they can send a proposal. All of them queue behind the one engineer who can scope accurately, so proposals wait.Sales1 engineerqueue: 3Proposalwaiting
Sales engineering

Scoping bottlenecked on one engineer

Proposals wait on the one engineer who can size a system accurately.

With AI
  1. 01Scopes from your standards
  2. 02Surfaces comparable systems
  3. 03Engineer confirms scope

Realistic outcome: Accurate first-pass scoping, with engineering reviewing what matters.

By Category

The work these scenarios have in common

Every scenario maps back to six kinds of work.

Book an AI Workflow Review

Which of these sounds like your company?

Tell us where your team's time goes. We'll show you what AI can realistically take on.

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
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  • An honest read on what's automatable
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