Transforming Business with AI
A fixed-scope, fixed-price entry engagement: our structured 7-step method takes one real use case from technical clarity to a production-ready system, with success criteria scoped per pilot.
The 90-Day Production Pilot is our fixed-scope, fixed-price entry engagement. It is for teams that want to move one real use case from idea to running software without a long pre-sales cycle. We agree the scope and the success criteria up front in a scoping document, then a senior, founder-led team builds against it for a focused 90-day window. Pricing starts from 25k EUR depending on the scope we fix together. You own the code from the first commit. What you get at the end is not a prototype or a slide deck: it is a usable production slice, deployed, monitored and documented, that your team can operate alongside us.
Deep dive into your business, challenges, and objectives to design the perfect AI solution.
Discovery determines whether an AI initiative succeeds or fails. We invest heavily in this phase. The most common reason AI projects stall is not technical complexity. It is misalignment between the solution and the actual business problem. Our team conducts structured interviews with stakeholders at every level. This spans executives defining strategy to frontline employees using the system daily. We map existing workflows and identify bottlenecks and manual processes. We quantify the potential ROI of automation. The result is a prioritized opportunity matrix. It shows where AI creates the most value with realistic effort estimates and risk assessments. This rigorous upfront work means we never build the wrong thing.
Expected Outcome
Clear roadmap with prioritized AI opportunities
Begin your AI transformation journey with our structured methodology
Begin your AI transformation journey with our structured methodology
Every pilot follows the same shape: validate before we build, build the real thing, harden it for production, then set it up to scale. The durations are the typical rhythm; your scoping document fixes the exact ones. Each phase ends with an artifact you keep.
We turn the idea into a scoped plan: the one use case, the data and systems it touches, the risks, and the success criteria we both sign off on. You get a scoping document that fixes what the pilot will and will not cover, plus an architecture sketch and an honest read on feasibility.
A senior team builds the first working slice of the real system against real data where possible, in your repositories from the first commit. You get a deployed environment you can click through, demoed in short cycles so scope decisions stay visible instead of surfacing at the end.
Once the core flow runs end to end, the work shifts to making it production-grade: tests, error handling, observability, and the operational details that separate a demo from software you can trust. You get a monitored, tested system with the architecture decisions written down.
We move the slice into production and hand over the controls: documentation, runbooks, and your team operating the system next to us rather than waiting on us. You get a production deployment with monitoring in place and a written path for the next increments beyond the pilot.
The pilot is our typical focused execution window, not a generic guarantee. Milestones, deliverables, risks and success criteria are scoped individually per pilot; this is the rhythm a typical one follows.
Repositories and access live in your organization. The code is yours from the first commit.
A deployed environment you can click, even while it is still thin.
The first working slice of the real system, demoed against real data where possible.
Scope checkpoint: what holds, what moved, what we decided and wrote down.
The core flow runs end to end; hardening, tests and observability take over.
Production: monitored, documented, with your team operating the system alongside us.
Day numbers describe the typical pilot; your scoping document fixes the real ones.
The method describes the rhythm of a pilot. These are the engineering practices underneath it: how we write, prove, document and run the software, so the production slice you get on day 90 is one your team can trust and maintain.
Where the behavior is testable, we write the test first and let it drive the implementation, so the test suite grows with the code instead of being bolted on at the end. This keeps the design honest and gives us a fast signal when a change breaks something. We are pragmatic about it: not every line gets a unit test, but the core logic and the parts that are expensive to get wrong do.
We model the software around your business domain and its real language, not around a generic framework template. Entities, boundaries and workflows in the code map to how your team actually talks about the work, which makes the system easier to reason about and to change. When a domain is complex enough to warrant it, we draw clear bounded contexts instead of one tangled model.
We build in short cycles and demo working software against real data where possible, so scope decisions stay visible instead of surfacing as surprises at the end. You see progress you can click through rather than status reports, and we adjust the next slice based on what the last one revealed. The scoping document stays the reference point throughout.
The people who scope the pilot are the people who build it, and we work hands-on with your engineers rather than over a wall. We pair on the hard parts and review each other's work, both to raise quality and to transfer knowledge into your team as we go. By the end, your developers know the system because they helped shape it, not because they read a handover doc.
We record the architecture decisions as we make them, in lightweight ADRs that capture the choice, the alternatives and the reason behind it. A future engineer, yours or ours, can read why the system is shaped the way it is instead of guessing. Documentation tracks the code rather than being written once and left to rot.
We use AI tooling throughout delivery, including our own internal tools, to move faster on the parts where it genuinely helps: scaffolding, refactors, tests and research. A senior engineer reviews everything that lands; the assistant accelerates the work, it does not replace the judgment. This is part of why a small senior team can deliver a production slice in a focused window.
Every change runs through automated gates before it merges: tests, type checks, linting and build, so broken code does not reach the main branch. Deployment is scripted and repeatable rather than a manual ritual, which is what lets us ship a working environment early and keep it working. The gates are part of the repository you own, so they keep protecting the system after we hand over.
A demo and software you can run in production are not the same thing, so we build in logging, metrics and error tracking from early on rather than after launch. When something behaves unexpectedly, you can see what happened instead of guessing. The production slice arrives monitored, with the operational details handled, so your team can run it alongside us with confidence.
This describes how the 90-Day Production Pilot works and what we commit to. These are our standards, not measured client outcomes.
Client code ownership
Yours from the first commit, with documentation and architecture decision records.
Typical pilot window
From technical clarity to production-ready delivery; each pilot is scoped individually with milestones and success criteria.
Response time
Every inquiry is answered by a senior engineer within one business day.
Vendor lock-in
Open architectures and a full handover; leaving us never costs you the system.
Oronts works with serious teams that need senior delivery, not low-cost outsourcing.
Exact pricing depends on scope, responsibility, delivery speed, team size, integrations, support expectations and production risk.
Scope one real use case with a senior engineer and see how the method works, end to end.