- info@devon.nl
If your engineering organization can’t keep up with business demand, you need a partner with 20+ years of experience, that can truly help.
Your business is growing. You have more features, more platforms and more digital produts. But engineering can't scale fast enough. You have questions:
You’re not alone. Every CIO eventually hits a scaling ceiling — and it’s rarely a people problem.
It’s DevOps Maturity problem, an AI adoption problem or a capacity problem.
Let’s have a further look at these questions.
You have to low DevOps maturity
Do you recognize this?
This causes inefficiencies in your process.
Before adding people or adding AI-agents, it’s crucial to get the DevOps maturity at the minimal level. We can assess your situation and come with an advice on how to grow the maturity.
You don't have AI agents
Do you recognize this?
This causes inefficiencies while competitors are moving faster.
AI is much more than code completion or simple prompts. With AI in the whole SDLC, you can gain 20% to 400% performance increase. But doing it wrong, can cause a lot of risks.
You don't have enough top-engineers
Do you recognize this?
Don’t look at hourly rates only. You get what you pay for. Look at the value per euro. One good engineer can do the job of 2 mediocre engineers. With AI, this top-engineer can do the job of 4 people.
“Spending time on improvements will further delay the deadlines?”
We hear that a lot, but wise stakeholders will also understand that you need time to improve.
“They don’t know yet how to improve”
You’re right. If they would already know, they would have already done it. Let them invest time to learn. Stop wasting time on re-inventing the wheel yourself.
“Aren’t there more risks than benefits?”
It’s good to consider the risks. But the potential is huge. Getting a secure setup is crucial.
Can you scale enough by improving the effiiency? Or do you also need to increase the capacity?
Is the bottleneck at a specific role? Or does it concern many different roles (like testers, architects, developers, analists, etc.)
Is it for only a few months? Or for the next few years?
Do your people have time to learn and discover themselves? Or do you need external help to accelerate?
Full stack? Or only frontend or backend?
And not with a solution
How we help you make the right decision
that will solve your challenges
not create new ones.
With over 20 years of experience, NPS of 95 and attritions below 3%.
We know what’s crucial in making proper choices
More details around the different levers to scale
The maturity of your SDLC is crucial. Low maturity causes unnecessary manual efforts, low quality, risks and unstable releases.
Scope
The craft of software engineering is changing rappidly. The maturity of the current AI agents is good enough to delegate tasks efficiently. But is has risks too. Doing it wrongly causes vulnerabilities, major bugs, loss of data and downtime.
Scope
Extra top-engineers can help accelerate. Increase the DevOps maturity, show how to work properly with AI and build the necessary features quickly.
Considerations
Start with advice, not execution. In a short call or assessment, we help you decide how to scale quickly (DevOps maturity, AI augmentation and/or extra Top-engineers), how to stay in control, and what timelines fits your situation.
No commitment needed — clarity first.
We use three levers:
Most customers see a jump in delivery capacity within weeks.
Absolutely.
AI is introduced across the entire SDLC, not just coding. That includes:
That’s exactly what we fix.
Start with scaling that accelerates growth