Choose how to hire your AI-augmented developers

Compare engagement models

How to choose

Pick a milestone-priced project when the scope is well defined and you want budget certainty. Choose a dedicated team for evolving products that need continuity and ownership. Use staff augmentation when you have a strong in-house team and just need extra capacity or a specific skill. Opt for managed services when the software is live and you want a partner to keep it patched, maintained and improving. Still unsure? Talk to us — we'll recommend the right fit.

Risk, cost and control: where each model puts them

Every engagement model is really a decision about who carries which risk. Under a milestone-priced contract — an agreed scope and an agreed price per milestone — the delivery risk sits mostly with the vendor, so the price includes a buffer for unknowns, and every change to scope becomes a change request. That is efficient when the scope is genuinely stable and expensive when it is not — the paperwork of re-scoping can quietly cost more than the work itself.

With a dedicated team or staff augmentation you pay for capacity rather than a fixed outcome. You carry more of the delivery risk, but in exchange you can change direction weekly without renegotiating anything, and the knowledge built up in the team stays with your product. The difference between the two is management: a dedicated team runs its own process and answers for results, while augmented engineers take direction from your leads, so you need someone in-house with the time to manage them.

Managed services shift day-to-day operational work — patching, updates, incident response — to the provider under a monthly retainer with agreed response times. You give up fine-grained control over how the work is done and keep control over the outcomes you are paying for. It suits software that is stable and important, where predictable running costs matter more than rapid feature change.

Signs it is time to switch models

The right model at the start of a project is rarely the right one two years later. A few signals are worth watching for:

• Change requests outnumber milestones. If a milestone-priced project is being re-scoped every few weeks, the scope was never fixed. Moving to a dedicated team usually costs less than continuing to negotiate.
• Your managers are stretched thin. Staff augmentation works only when someone in-house has time to direct the extra engineers. If that person has become the bottleneck, a self-managed dedicated team removes the load.
• The roadmap has slowed to maintenance. When a dedicated team spends most of its time on fixes and small updates, managed services typically deliver the same stability at a lower, more predictable cost.
• A new initiative has a clear boundary. Even inside a long-running engagement, a well-defined add-on such as an integration or a reporting module can be run as its own milestone-priced project.

Switching works best when it is planned: agree a handover period, keep the same people where possible, and make sure documentation and access move with the work rather than after it.

Common mistakes when choosing a model

The most frequent mistake is choosing milestone pricing for budget certainty on work that is still being discovered. The certainty is real only if the scope is; otherwise it moves the uncertainty into change requests and arguments about what was “in scope”. If you cannot yet write down the acceptance criteria, start with a short discovery phase or a small dedicated team instead.

The opposite mistake is hiring capacity without direction — augmenting a team that has no clear backlog or technical lead, and expecting extra engineers to create momentum on their own. They will not. Comparing models on hourly rate alone is a third trap: the cheapest rate on a model that does not fit your situation is usually the most expensive outcome.

What stays the same in every model

Whichever model you choose, a few things do not change. We sign an NDA before kickoff. You own the code and the intellectual property, and work lives in repositories you control. Pricing is transparent and milestone-based, agreed before work begins rather than discovered on the invoice. Your developers work with AI tools for the repetitive parts of the job and review every AI-assisted change before it ships. And when you get in touch, we reply within 24 hours. PixoBots has been building software for clients since 2008, and in that time the lesson has been consistent: the model matters less than being honest early about which one actually fits.

Frequently asked questions