Blog — Artificial Intelligence
Insights, guides and trends on digital transformation, AI, cloud and tech talent.
MCP: how to integrate AI agents with legacy systems
How to use Model Context Protocol to connect AI agents to ERPs, databases and legacy systems with least privilege, auditing and without breaking anything.
Private AI for agents: API, your own cloud account or on-premises
When your data can't leave your infrastructure: three deployment paths for AI agents, sensitivity-based routing and what running on-premises really takes.
Harness engineering: why the model is no longer your edge
The harness around an AI agent: its 7 layers (tools, verification, context, guardrails, observability, routing, feedback) and how to evaluate one.
Guardrails and human oversight for AI agents in production
How to design guardrails and human oversight for AI agents in critical processes: autonomy levels, fast approvals and defense against prompt injection.
Evals for AI agents: separate the maker from the verifier
Why an AI agent can't grade its own work: types of evals, golden sets, regression testing in CI and an independent verifier before every action.
AgentOps: how to run AI agents in production
AgentOps for AI agents in production: what to observe, OpenTelemetry GenAI, drift, auditing, incidents, versioning and governance with NIST and ISO 42001.
What Is RPA and When to Use It (vs. AI): A Practical Guide for B2B Leaders
What is RPA, its benefits, and when to choose it over an AI agent. Tools, ROI, and decision criteria for operations and IT leaders.
AI-Powered Unit Testing: How and When to Use It
How AI unit testing tools like Copilot, Cursor, Codium AI and Diffblue fit into CI/CD, what to measure, and when they pay off.
Machine Learning in the Enterprise: 10 Real Use Cases with KPIs
10 validated machine learning use cases for enterprises, with KPIs, stack choices, and a practical implementation roadmap.
Real Impact of AI on LATAM Enterprises in 2026: Data, Sectors, and Gaps
AI adoption in LATAM enterprises 2026: adoption rates, leading sectors, gap vs. USA/Europe, real cases, barriers, and opportunities through 2028.
Generative AI for C-Level: A Practical Guide for CEOs and CFOs in 2026
A no-jargon guide for CEOs and CFOs to evaluate, govern, and fund generative AI in 2026. Criteria, KPIs, and a 7-question checklist.
AI in Enterprise Cybersecurity: Attack Vectors, Defense Stack, and SOC Roadmap
How enterprises apply AI in cybersecurity: LLM-driven threats, ML detection, Darktrace, Vectra, Defender XDR, GuardDuty, and SOC integration.