Internal assistants
Query procedures, documents, company knowledge and team support.
Applied artificial intelligence
AI where there is real work to improve.
We do not add AI to follow a trend. First we identify the task, the data, the error risk and the expected result. Then we define whether AI, conventional automation or a mix makes more sense.
Use cases
Additional capacity for your team.
AI projects need adequate context, data and supervision. The focus is measurable operational gain.
Analysis and classification
Organization of texts, documents, requests, categories and operational information.
Intelligent automation
AI combined with rules and integrations to speed up repetitive tasks.
Assisted generation
Drafts, summaries, replies and content with human validation when needed.
Semantic search
Find information by meaning in knowledge bases and authorized documents.
AI in products
Intelligent features built into systems and portals developed by Vintelio.
Criteria before technology
Four questions before putting AI into production.
Which task?
What exactly will be sped up, automated or supported?
Which data?
Are the sources reliable, allowed and sufficient for the goal?
What risk?
How much error is acceptable and when does a person need to review?
Which metric?
How will we know the solution actually improved the process?
AI does not replace a poorly defined process. First we organize the problem; then we choose the technology.
Is there a task that consumes hours of your team's time?
Show us the process. We evaluate whether AI is really the best solution and what the safest path would be.
Contact
Evaluate AI use
Tell us the scenario, we point to the most suitable AI solution.
