The real comparison
Hiring in-house
Working with Echelon
RecommendedTime to first result
3–6 months to hire, onboard, and ship anything
First working system within 30 days
Cost per month
$15,000–$30,000+ (salary, benefits, equity, recruiting)
Custom pricing scoped to your project
Risk
High — one wrong hire can cost 6 months of runway
Low — fixed scope, defined deliverables, clear exit
Ownership
You own the systems but must manage the person building them
You own everything — fully documented and handed off
Ongoing support
Full-time salary required even in slow periods
Dedicated specialist available on retainer, not on payroll
What you actually get with Echelon
A dedicated AI specialist, not a shared resource
Every Echelon client gets one named AI specialist assigned to their account — someone who knows your systems, your workflows, and your goals. You reach them directly on Slack.
Production-ready systems, not prototypes
We build things that run in your business — not demos or proof-of-concepts. Every system we deliver is tested, integrated with your existing stack, and ready to use on day one.
Full documentation and complete handoff
You never have to wonder how something works. Every system comes with written SOPs, Loom walkthroughs, and full technical documentation — so your team can manage it long after we're gone.
Who should hire in-house
We'll be direct: if your company has 50 or more employees, a dedicated internal technical team, and complex ongoing AI needs that will require full-time attention indefinitely — hiring in-house makes sense. You have the resources to absorb the overhead, and the scope justifies the commitment.
But for most businesses — especially those under 50 people, or those taking their first serious steps into AI automation — the in-house path means 6 months to first result, a $200K+ annual commitment, and real risk if the hire doesn't work out.
Echelon is built for the business that wants results now — and wants to own those results without adding permanent headcount to get them.
Frequently asked
Is it cheaper to hire an AI engineer or work with an AI consultant?
For most businesses under 50 employees, working with an AI consulting firm like Echelon is significantly cheaper than hiring in-house. A full-time AI engineer costs $150,000–$250,000+ per year in salary alone, before benefits, recruiting, or equity. Echelon operates on custom project-based pricing — a fraction of that cost, with faster delivery and no long-term headcount commitment.
How long does it take Echelon to deliver results compared to an in-house hire?
With Echelon, you'll have working systems within the first 30 days of engagement. Hiring in-house typically takes 2–3 months to find the right person, another month to onboard them, and several more months before anything ships. The total timeline to first result is 4–6 months for an in-house hire vs. 30 days with Echelon.
Do I own the AI systems Echelon builds for me?
Yes, completely. Everything we build belongs to you. We deliver full source code, complete technical documentation, Loom video walkthroughs, and written SOPs for every system. You can run it yourself, hand it to an internal team, or continue working with us — but you are never locked in.