AI & Automation
AI Integration Mistakes Sri Lankan Companies Should Avoid
Seven common AI project failures—no workflow owner, public tools on private data, single-model dependency, and automating chaos before mapping processes.
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Explore Capricon's AI Integration ServicesBy Manikya Searathna
Mistakes we see often
- Buying AI tools before defining the workflow and success metric.
- Pasting confidential data into public chat tools.
- Hard-coding one model with no fallback provider.
- Automating customer-facing sends without human review.
- Skipping audit logs for finance and healthcare.
- Expecting AI to fix broken data across spreadsheets.
- Launching five pilots at once with no department sponsor.
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