Articles & Insights

Insights on enterprise AI agents, private AI infrastructure, data security, and the economics of running AI at scale.
As AI agents move into core business operations, enterprises need control over data access, infrastructure, costs, and execution. Here’s what it takes to run agents securely at scale.
AI on old BI sounds impressive until leaders still have to connect the dots. The real gap is not more dashboards, but better decision intelligence
Enterprise AI is moving fast, but trust depends on scaling intelligence without exposing the data behind it.
AI money is flooding startups, but hype is cheap. DBTA’s 2026 watchlist points to the companies turning data, security and automation into real momentum.
Old BI waits for perfect questions. Amberd bets the next enterprise AI leap is private, auditable answers from every data source, ready for decisions.
Amberd.ai helps Procon leaders move from dashboards to instant answers across finance, operations and IoT data.
Tariff refunds should not live in spreadsheets. RL Jones is using Amberd.ai to turn customs data into faster, private answers before tight deadlines slip.
Tariff refunds move too fast for disconnected spreadsheets. Amberd.ai helps RL Jones turn customs and logistics data into private, deadline-ready answers.
Refund claims can’t wait weeks under pressure. RL Jones uses Amberd.ai to turn CBP, entry and customer data into faster filings with clear audit trails.
If your AI still needs a dashboard and an analyst, it is probably your old BI in a new suit. Real decision artificial intelligence answers
Tariff chaos is exposing the limits of manual trade ops. Amberd.ai argues AI can turn scattered customs data into refunds, compliance and real advantage.