What does the AI opportunity assessment deliver?

It delivers an inventory of processes prioritized by impact and effort, with estimated savings for each, the data required and a staged implementation roadmap. It also flags which processes should not be automated yet and explains why.

How long does it take and how much of my team is involved?

Between two and four weeks. We need one kickoff session with the decision maker and short interviews with the people who actually run the processes being analysed. In total each person involved spends about three hours across the whole assessment.

How do you estimate savings when there is no system yet?

We measure the current process: volume, time per case, error rate and cost of correction. From those numbers we project the automated scenario and express the result in hours freed and cost avoided, stating the assumption explicitly so it can be challenged.

What if the assessment concludes that nothing should be built?

That is a valid outcome and we say so just as clearly. If volume is low, data is insufficient or the logic is simple, we recommend improving the process without AI and not running the project. We would rather lose a project than leave a tool unused.

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AI Opportunity Diagnosis

We map your processes, identify where time is lost and detect concrete opportunities where artificial intelligence can generate savings, efficiency or new capabilities.

Diagnóstico de procesos12 procesos mapeados · 4 priorizados

Asignación de pedidosAlto impacto

Ahorro 30%

Conciliación de facturasImpacto medio

Ahorro 18%

Reportes semanalesImpacto medio

Ahorro 14%

Atención nivel 1Bajo impacto

Ahorro 6%

Logística · 200 empleados · identificado en 3 semanas

01 What it includes

We map your processes end-to-end to identify bottlenecks, repetitive tasks and concrete savings opportunities with AI. We analyze operational data, workflows and friction points affecting your team's efficiency.

02 How we do it

Interviews with key stakeholders from each area
Quantitative analysis of data and process times
Identification of quick wins and high-impact opportunities
Executive report with prioritization and initial roadmap

03 Concrete benefits

Complete visibility of your current process state
Prioritized list of AI opportunities with estimated ROI
Clear action plan for the first 12 weeks

04 Real example

A 200-employee logistics company identified 12 automatable processes in 3 weeks. We prioritized 4 that generated 30% savings in operational time, starting with automated order assignment.

Frequently asked questions

AI Opportunity Diagnosis

What does the AI opportunity assessment deliver?: It delivers an inventory of processes prioritized by impact and effort, with estimated savings for each, the data required and a staged implementation roadmap. It also flags which processes should not be automated yet and explains why.
How long does it take and how much of my team is involved?: Between two and four weeks. We need one kickoff session with the decision maker and short interviews with the people who actually run the processes being analysed. In total each person involved spends about three hours across the whole assessment.
How do you estimate savings when there is no system yet?: We measure the current process: volume, time per case, error rate and cost of correction. From those numbers we project the automated scenario and express the result in hours freed and cost avoided, stating the assumption explicitly so it can be challenged.
What if the assessment concludes that nothing should be built?: That is a valid outcome and we say so just as clearly. If volume is low, data is insufficient or the logic is simple, we recommend improving the process without AI and not running the project. We would rather lose a project than leave a tool unused.

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Shall we talk about your case?

In a first conversation we review your operation and tell you plainly what can be automated and what cannot, yet.

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