Applied-AI partner vs traditional consultancy
Choosing between an applied-AI partner and the traditional consultancy model comes down to who ends up running the system: with an applied-AI partner, the logic is to come in, build on what you already have, and leave when your team runs it alone —not to chain together endless projects.
The difference is not about size or rate, but about model. The classic big-consultancy approach tends to add phases, grow teams and keep knowledge of the system in the hands of whoever built it, so the dependency drags on. An applied-AI partner works the other way around: it researches where AI creates real advantage, builds in production on top of the tools your team already uses, and hands the system over so you operate it without us.
Comparison
| Dimension | Traditional consultancy (model) | Applied-AI partner |
|---|---|---|
| Duration | Long projects that tend to chain together | Scoped: ends when your team runs it alone |
| Team | Large teams billing by the hour | Small team focused on building and handing off |
| Ownership | Knowledge of the system stays outside | Your organization owns the code, the prompts and the configuration |
| Starting point | A predefined catalog or framework | The problem and what you already have in place |
| Success | Deliverables and billed hours | One business metric agreed before we start |
When each one fits
The traditional consultancy model fits when an organization wants to cover a capability on an ongoing basis and prefers a third party to manage it over the long term, accepting the dependency that implies.
An applied-AI partner fits when you want to take AI to production and have your own team run it afterward: when it matters to you to own the system, to connect AI agents to your real data and tools, and to measure the result against a concrete business goal rather than against billed hours.
When Codara is NOT the right fit
If what you want is to outsource the operation permanently —to have someone manage the system indefinitely while your team never takes on ownership— our model is not the right one. Codara comes in to build and hand off, not to stay running the system in perpetuity. We are also not the right fit if you need a closed, off-the-shelf solution with no adaptation: we start from the problem, not from a fixed product. In those cases it is more honest for us to say so before we start.
How we approach it at Codara
We work with a five-phase method that ends when your team runs the system without us: we listen, diagnose, design, build and scale, with a single business metric agreed up front and ownership of the code inside your organization from day one.
Preguntas frecuentes
How does an applied-AI partner differ from the traditional consultancy model?
The traditional consultancy model tends to chain together long projects with large teams and leaves the dependency with whoever built the system. An applied-AI partner comes in, builds on what you already have, and leaves when your team runs the system without help; the code, the prompts and the configuration stay inside your organization.
When is it NOT the right fit for Codara?
When what you want is to outsource the operation permanently and have a third party manage the system indefinitely. Our model ends with the handoff to your team; if your goal is to never take on ownership or operation, a different kind of provider will fit better.