AI sprint: a working agent MVP from €5,000

Elia Studio builds tailored AI solutions so your team can stay focused on its own work. From €5,000, an initial sprint includes development and delivery of a working agent MVP within an agreed scope. The aim is a usable first implementation that can be evaluated, without presenting an MVP as a company-wide production rollout.

What does the first sprint deliver?

The sprint includes development and delivery of a working agent MVP. It is not just a workshop, presentation or visual mock-up. Elia Studio has confirmed the starting price; the proposal defines the scope of each engagement.

Definition: an MVP is a first functional implementation limited to the capabilities needed to examine a use case and decide what should happen next.

A first version should perform a defined task. It does not need to cover every tool, user and exception in the organisation immediately.

Think of equipping a workshop. Before expanding an entire line, verify that one workstation does its job. Limiting scope should preserve functionality, not substitute a convincing presentation for a working implementation.

Keep business experts focused on their expertise

Business teams understand the situations, documents and decisions. They should not need to become application developers and maintainers to benefit from AI.

The studio’s role is to turn that knowledge into an appropriate implementation. Business participation remains essential for explaining needs, authorising data and evaluating outcomes. That participation should centre on expertise rather than technical construction.

Start with a task rather than a technology list. What work should become easier? Which output can a person verify? Which decisions must remain with a human?

Define the MVP boundary before building

We propose making the scope readable before development. The following framework is a scoping method, not an automatic expansion of the starting-price offer.

The €5,000 starting price does not imply a universal integration count or fixed duration. Model usage, hosting, licences and maintenance must be addressed explicitly in the proposal. This article does not describe them as always included or always excluded.

Example: preparing a document-backed response

Consider a fictional team that regularly consults documentation to answer internal requests. An initial agent could prepare answers from an authorised collection and show the references used.

The scope could exclude autonomous sending, document changes and commercial decisions. The team would test representative questions, including questions without answers and contradictory documents.

This illustrates a possible boundary, not a promise to deliver every document assistant for €5,000. Feasibility, access and acceptance criteria need review before agreement.

Evaluate usefulness, not just fluency

A working agent should not be assessed solely on polished language. We propose examining output relevance, corrections required, visibility of references and behaviour outside the agreed scope.

Include the user’s total effort. A response delivered quickly but requiring a complete rewrite is not automatically an improvement. Any benefits need measurement rather than assumption.

Our guide to evaluating an agent before launch helps frame that conversation. For consequential actions, human approval should represent a real responsibility, not a decorative confirmation button.

Tailored does not mean rebuilt from scratch

The studio adapts business rules, user experience, data and integrations. Where suitable, reusable components avoid rebuilding the same foundation.

Nemrut, our foundation for tailored AI, supports that approach. A platform does not remove the need for client-specific scoping, controls and validation.

Clin illustrates a different studio creation: a product for LinkedIn presence and outreach. A public product, a platform and a delivery engagement have distinct roles and should not be presented as interchangeable commitments.

Decide what happens after the MVP

Delivery should inform a decision: continue, change the scope, correct a problem or stop. A delivered MVP does not automatically establish readiness for every business use.

Expansion may require additional access management, integrations, monitoring, broader evaluation and maintenance commitments. The actual requirements depend on the intended implementation. Our POC-to-production roadmap separates those concerns.

Start with Elia Studio

The initial sprint provides a concrete entry point: development and delivery of a working agent MVP from €5,000, within an agreed scope. No universal delivery duration or quantified performance improvement is promised here.

Explore our tailored AI services or contact the studio. We start with your work and constraints, then specify what will be developed, delivered and evaluated.