AI consulting
What it is and when it pays off
AI Consulting for Business: What to Automate First?
We help you decide where to apply artificial intelligence in your company and in what order. Hábito 1 audits your processes and data, builds a roadmap prioritized by return and supports your teams.
AI consulting: what it is and when you need it
No company needs an artificial intelligence project because it is in fashion. AI consulting is there to separate what is worth doing now from what still makes no sense, with both technical and business judgment.
From enthusiasm to a plan
We turn the team's loose ideas into a plan with scope, owners and concrete deadlines.
Technical and business judgment
We look at the whole process, not just the tool. AI pays off when the process underneath is healthy.
No vendor lock-in
We pick technology you can change. No getting tied to a closed platform.
AI audit: where you stand today
Before automating you need to know which processes are candidates and what data you have available. The audit puts that in writing, case by case, with the estimated effort and return of each one.
Process mapping
We map the repetitive tasks, who does them and how long each one takes.
The state of your data
We review where your information lives, what format it is in and whether it is enough for a model to use.
Prioritized cases
You leave with a list of candidate cases, each with its effort, its risk and its estimated return.
AI roadmap prioritized by return
With the cases on the table we set the order. First what delivers quick results and funds the rest, then what needs deeper integration or a bigger change in habits.
High impact first
We start with the high-impact, low-complexity cases, to show results early.
Architecture and integrations
We define how AI connects to the systems you already use, without rebuilding what works.
Governance and security
We set what data goes into the model, who has access and how each use is logged.
Support and training for your teams
A plan nobody uses changes nothing. We train the people who will work with the tools and stay close through the first months, until AI is part of the team's routine.
Training by role
We train each team on the cases from their own day, not on a generic lab demo.
Mentoring your internal lead
We train the person who will own this in house, so you do not depend on us.
Measure and adjust
We review what gets used and what does not, and adjust the roadmap with real usage data.