Artificial Intelligence

5 processes an AI agent can automate today

· 10 min read · SISCON Blog

The question isn't whether AI can automate a process — it's which ones to automate first. These are the five with the best ROI based on our LATAM projects.

1. L1 technical support

Level-1 tickets are the perfect case: repetitive questions with documented answers. An agent connected to your knowledge base resolves between 60% and 80% of tickets without human intervention. Typical resolution time: from 45 minutes down to 15.

2. New-employee onboarding

A new employee asks dozens of questions during their first days: vacation policies, how to set up the VPN, where the X manual is, who to write to for Y. An agent available 24/7 that knows your manuals and processes saves hours of HR support and shortens the learning curve.

3. Tender and RFP analysis

Reading a 200-page RFP, extracting technical requirements, identifying risks and preparing a draft response takes a human team days. An agent does it in hours and lets your experts focus on strategy, not on reading.

4. Technical pre-sales consulting

An agent that compares AWS vs Azure vs GCP services, recommends architectures and generates cost estimates turns a junior consultant into a producer of senior-level proposals. We've seen it cut proposal preparation time from 3 days to 4 hours.

5. Internal knowledge management

Every company older than 5 years accumulates scattered documentation: wikis, Confluence, shared folders, archived emails. An agent on top of all that information is search engine, summarizer and synthesizer at the same time — and eliminates the "where was that document?" that wastes hours every week.

How to choose where to start

All five have good ROI, but not all of them apply to every company. The practical criterion: pick the process with (1) highest repetition volume, (2) existing documentation and (3) a clear success metric. If you want a systematic evaluation, our AI Strategy Consulting helps you prioritize.

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