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ECHELON

AI operations & infrastructure

We don't advise.
We build.

You keep every decision.

Echelon builds and runs AI infrastructure inside established companies. We map how the work actually moves, build systems into the tools you already use, and launch them with approvals in place. Every build gets one set price, in writing, after mapping.

See how an install works, how pricing works, or size your project.

Built into the tools you already run

  • GoHighLevel
  • HubSpot
  • LinkedIn
  • Gmail
  • Outlook
  • Google Calendar
  • Calendly
  • Slack
  • Twilio
  • Stripe
  • QuickBooks
  • Google Sheets
  • Shopify
  • TikTok Shop
  • n8n
  • Zapier
  • Lindy
  • Apify
  • LiveKit
  • Deepgram
  • ElevenLabs
  • HeyGen
  • Bannerbear
  • Anthropic
  • OpenAI
  • LangChain
  • LangGraph

Built with

  • TypeScript
  • Python
  • Node.js
  • Next.js
  • NestJS
  • Remix
  • SvelteKit
  • Vite
  • Turborepo
  • tRPC
  • Prisma
  • Django
  • FastAPI
  • Flask
  • Laravel
  • Symfony
  • Ruby on Rails
  • Elixir
  • Phoenix
  • PyTorch
  • OpenCV
  • Tesseract
  • Celery
  • PostgreSQL
  • pgvector
  • TimescaleDB
  • dbt
  • MySQL
  • SQLite
  • Supabase
  • AWS
  • Google Cloud
  • Azure
  • Cloudflare
  • DigitalOcean
  • Vultr
  • Docker
  • Kubernetes
  • Helm
  • Terraform
  • OpenTofu
  • Ansible
  • Pulumi
  • GitHub Actions
  • GitLab
  • Bitbucket
  • Jenkins
  • CircleCI
  • Argo CD
  • Vercel
  • Netlify
  • Playwright
  • Puppeteer
  • Selenium
  • $1M+ in documented savings
  • 17 production systems
  • 70 to 80% efficiency gains
  • First build in two weeks

How it works

Six steps to a department that runs itself.

We start with how your company runs, not with software. Nothing gets ripped out, and nothing gets migrated.

The full process
  1. 01

    Map the operation

    We sit with the people doing the work and follow leads, quotes, money, and messages through the tools that carry them today.

  2. 02

    Set the scope and the price

    You get the outcome, the boundaries, and one set price in writing before anything is built. It moves only if the scope does.

  3. 03

    Connect your stack

    We build into the CRM, inbox, phone line, and payment tools you already run. The first working build is in your hands within two weeks.

  4. 04

    Run in review mode

    The system reads real events and prepares real work. Your team approves every result before it goes out, and we make a round of changes every week.

  5. 05

    Grant narrow authority

    Proven, routine actions start running on their own, inside limits, with escalation rules and a full record.

  6. 06

    Launch and run it

    We take it live, watch it in production, and stay on to run and improve it every month.

    In productionA live voice intake system on this model answers 200+ calls a day in under a second.

The work

How a department goes live.

The same four artifacts, on every install. Each console below is a mockup on sample data of what your team actually sees.

Step 1

The operating audit

Repeated work, delays, exceptions, and what each one costs. Scope and price come out of it, in writing.

Repeat work found this week

Sample data
GHLGmailOutlookStripeSheets

31

Repeat tasks logged

  • Lead waited 14 hours for a replyFound
  • Quote sat unsent for three daysFound
  • No-show never followed upFound
  • Invoice chased by hand, twiceMapped

Step 2

The system, designed and priced

What it reads, what it does alone, where it stops, and which approval sits above each action. One set price, in writing, before anything is built.

System design: Inbound Response

Sample data
ReadsDoes aloneStops atApproval

01

Set price, in writing

  • Reads new leads from every channelIn scope
  • Replies within 60 secondsAlone
  • Books the appointmentAlone
  • Quotes a priceApproval
  • Refunds or creditsHeld

Step 3

Live inside your stack

Review mode first. Your team approves every result before it goes out. Autonomy is earned one action at a time, and never for moving money.

Review mode, week 6

Sample data
GHLTwilioGmail

48

Actions prepared this week

  • Reply to a new leadApproved
  • Reschedule a no-showApproved
  • Send a quoteHeld
  • Move moneyNever

Running

Reported on every week

What ran, what it handled alone, what waits on a decision, and who owns it. Every action leaves a record.

Weekly report

Sample data
Week 09InboundFollow-up

212

Actions this week

  • Handled alone184
  • Waiting on a decision6
  • Escalated to a person3
  • Owner: sales leadNamed

Proof

Departments that already run themselves.

Three installations, names withheld, numbers we can stand behind.

All the proof

Case 01

24/7 voice intake for a multi-site urgent care group

Calls were going to hold music during the day and voicemail at night. Voice intake now answers every call in under a second, books the visit, and hands anything clinical to staff.

Capabilities

  • Answers 200+ calls a day
  • Books and confirms appointments
  • Sub-second response on every call
  • Escalates clinical questions to a person

Case 02

Medical coding worked by the system, checked by people

A hospital coding team was working records by hand, and billing moved at the speed of the backlog. Multi-agent extraction, coding, and validation now works 100,000+ records a year with a full audit trail.

Capabilities

  • 94% coding accuracy
  • About 87% faster per record
  • 100,000+ records a year
  • Every code traced to its source text

Case 03

One record per customer across a million rows

Nothing could be automated until the team knew which records were the same customer. The system resolves 1M+ records in under 30 minutes at 90%+ accuracy, and sends uncertain pairs to a person.

Capabilities

  • 1M+ records resolved
  • Under 30 minutes end to end
  • 90%+ match accuracy
  • Uncertain pairs go to a person, side by side
Documented savings
$1M+Across production systems
Production systems
17Shipped and running
Efficiency gains
70 to 80%Operating baseline versus after
Voice answer time
< 1 secLive voice intake system

Every number here comes from a system running in production. Client names are withheld.

The bench

One operator in front. A hundred-plus engineers behind the build.

Echelon's core team is small and accountable on purpose. The engineering bench behind it is not small: 100+ engineers, building since 2015, composed into a pod sized to your scope and coordinated from Los Angeles by the person who mapped your operation.

  • 01A pod sized to the scope: two engineers for a focused system, a programme team for a multi-workstream build.
  • 02Senior technical leadership on every pod, and a development manager on the same direct line as Yadel.
  • 03Introduced by name on the first call. Credentials are given in aggregate here on purpose.
Engineers on the bench
100+Composed into pods per build
Building since
2015Ten years of shipped systems
Projects shipped
500+Across three offices
Engineers per build
2 to 30Sized to the scope, staffed in phases

Echelon's engineering bench, in aggregate. The people on your build are introduced by name on the first call.

Your existing stack

We build between the tools you already run.

Read and write, both ways, into what your team already opens every morning.

  • 01Read and write both ways. The system works inside your records, not beside them.
  • 02Every connection verified before anything depends on it.
  • 03No forced migration. Nothing gets ripped out.

Connections

Verified
  • GoHighLevel
  • HubSpot
  • Gmail
  • Outlook
  • Google Calendar
  • Slack
  • Twilio
  • Stripe
  • QuickBooks
  • Google Sheets
  • Shopify
  • n8n
  • Zapier
  • LiveKit
  • Deepgram
  • ElevenLabs
  • Anthropic
  • OpenAI

Read and write, both ways. Every connection verified before anything depends on it.

The guarantee

If at least one system we deploy does not measurably save time, reduce a cost, or support revenue, we keep working until it does.

Written into the agreement, next to the set price. It is the reason we map before we scope, and scope before we build.

Questions

What people ask on the first call.

What does it cost?

We do not publish fees. After mapping you get one set price in writing, changed only by a scope change. Ongoing operation is a separate monthly line, disclosed with the build price.

How long does it take?

The first working build is in your hands within two weeks, ready to test. From there it runs in review mode on real work while we make changes, and the sprint closes with a measured launch between day 30 and day 90, depending on scope. Your dates come in writing with the price.

What about our data and security?

Least access, every connection documented, sensitive data stays in your environment, and high-risk actions wait behind a person. We build to your security requirements and document every connection.

Do we end up dependent on Echelon?

You own the outcomes, the data, and the documentation. We run the system because that is what keeps it working, not because you are locked in.

Do we have to replace our tools?

No. We build into the CRM, inbox, phone line, and payment tools you already run. Nothing gets ripped out and nothing gets migrated.

What happens when it gets something wrong?

Consequential actions wait for a person, so the usual failure is work waiting, not work sent. Every action leaves a record, so we can show you exactly what happened and why.

How much of our team's time does this take?

A few hours a week during mapping, then far less. Your team keeps doing their jobs. The build happens around them.

We tried AI before and it didn't stick.

Usually that was a tool nobody owned. We name an owner for every decision, put approvals where they belong, and report every week on what ran and what is waiting.

Your first department

Automate the first department.

Bring the one process your company still runs by hand. On the call we map it, and you leave with the system design, the price, and the date it goes live. The first working build is in your hands within two weeks.

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