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Kronos
Ekko AI Assistant
Comparison
Both paths can work. The right choice depends on your timeline, budget, use case volume, and whether AI is core to your product or a capability you need to add.
The Real Cost
A senior AI/ML engineer commands $180–250K in base salary. Add benefits (typically 25–30% of salary), tools and compute, management overhead, and the recruiting cost itself — often 15–25% of first-year salary paid to a recruiter. Then factor in 2–4 months of ramp time before they're productive.
That's before they've written a single line of production code for your organization. And if they leave — which happens — you start over.
Consulting isn't always cheaper. But it's faster, lower-risk, and scoped to what you actually need to build. The right partner brings cross-domain experience in agentic AI and AI automation that a single hire rarely covers.
Side-by-Side
In-House Team
Hiring + building internally
AI Consulting
Ekko Innovations
Time to First Deployment
6–12 months. Recruiting takes 2–4 months. Onboarding and ramp takes another 2–4. Then they need to understand your systems before writing a line of production code.
4–12 weeks. An experienced firm starts from a production-tested foundation, not a blank page. Discovery, architecture, and build happen in parallel.
Cost Structure
Fixed overhead regardless of utilization. Salary, benefits, tools, management time — whether they're shipping or not. One senior AI/ML engineer runs $180–250K+ before overhead.
Pay for what you build. Engagements are scoped. You're not paying for idle time, recruiting failures, or ramp periods.
Expertise Breadth
One hire knows one stack, one domain, one set of patterns. Depth in their specialty, gaps everywhere else.
A firm brings cross-domain experience across industries, use cases, and technology stacks. You get the collective knowledge of every prior engagement.
Ongoing Risk
If they leave, the knowledge leaves with them. Undocumented systems, tribal knowledge, and a recruiting cycle that starts over.
Documentation and maintenance contracts are part of the engagement. The system is yours, fully documented, with ongoing support built in.
Security Posture
Depends entirely on the hire. Security experience varies widely. Most AI/ML engineers aren't security specialists.
Ekko is cybersecurity-founded. Security isn't a feature we add at the end — it's the default. Least privilege, encrypted data handling, audit logging, prompt injection mitigation.
When In-House Makes Sense
Building an in-house AI team is the right call in specific situations. Here's when it makes sense.
Keep Reading
Custom AI vs. No-Code Tools
An honest comparison of when each approach works best
What Is Agentic AI?
How autonomous AI systems plan, reason, and act
Case Study: 91% Faster Processing
How Ekko reduced processing time from 22 minutes to 60 seconds
How Ekko Builds
Our process for building custom AI automation systems
You don't have to choose between consulting and in-house on day one. Engage Ekko Innovations to build and deploy your first AI system. By the time it's running, you'll know exactly what you need.
Talk to an Expert