Author
Costa
CTO, INITE
Writes the engineering half: how machine-learning models, NLP, RPA and support chatbots behave once they leave the demo and start taking real volume. Six posts, all on the part of the work that has to keep running after handover.
6 articles
Published here
Business Process Automation: From One Workflow to Production in 2-4 Weeks
BPA fails when teams pick the wrong first process. A guide to choosing what to automate, the 18-day ship timeline, and the 4 metrics that keep you honest.
Oct 9, 2025 · 5 min
Implementing ML Models in Production: The 2026 Reality of MLOps
Most ML models never reach production. The ones that do fail because of monitoring, not training. A field guide to MLOps that actually ships.
Oct 7, 2025 · 7 min
AI Security in 2026: The Threats Your Pen Test Misses
Traditional tools miss prompt injection, model poisoning, training-data leakage. The 2026 AI threat surface, OWASP LLM Top 10 lookups, and how to defend it.
Oct 6, 2025 · 7 min
AI Chatbots in Customer Service: What Actually Moves CSAT in 2026
Most chatbot deployments lower CSAT. The 30% that work share three patterns: tight scope, sub-30-second escalation, first-turn AI disclosure. Field guide.
Oct 4, 2025 · 6 min
RPA Implementation in 2026: When Bots Beat AI Agents (and When They Lose)
RPA is not dead. For deterministic workflows it beats AI agents on cost (20x) and reliability (99.5% vs 92%). 2026 guide for picking the right tool.
Oct 1, 2025 · 6 min
NLP in Business 2026: Six Use Cases That Pay Back in 90 Days
NLP is no longer sentiment analysis on tweets. Six 2026 use cases - contract review, support triage, sales call extraction - shipping in 8-12 weeks.
Sep 30, 2025 · 6 min
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