Our methodology
There is no magic. Years of large-scale projects distilled into a process that's clear, business-focused, and honest with the customer.
Design. Implementation. Education. Value sharing.
How we approach data & AI projects, from first conversation to last handover.
Usual timeline for data & AI projects
1-2 weeks
Architecture design and technology validation.
1 month
Proof of Concept to validate that the solution works in your environment and delivers measurable value.
3-6 months
Full implementation for production.
1-6 months
Handover, training, and ongoing support until your team is fully autonomous.
Design
We start with the big picture, then take a holistic, technology-agnostic
approach to build the data architecture that best fits your goals.
AS is analysis
We understand your current footprint, discuss your different blockers, and see where you want to get.
To be design
We draft optimal architectures taking into account the different aspects analyzed in the “AS IS”.
Workshops
On complex/sensitive topics, we organize workshops to gain clarity and be aligned on the steps forward.
Proof of Concept
We show things in action with your data on a reduced solution.
Technical Design document
Exhaustive document that details everything regarding the solution, reasons behind the different technical choices, etc.
Proposal
Includes delivery roadmap and budget for the different stakeholders to make the final call.
Education
The true measure of your project's success is your team's ability to use the solution autonomously.
Achieving this level of independence is our principal objective.
