From dashboards to agents that act.
Dashboards describe the past. Agents change the present. We migrate the function, not the tool.
Dashboards describe the past for a human to read on Thursday. After the Reset, that latency is the cost. We replace it in three moves:
First-party, server-side events land in your warehouse and are read continuously. No pixels, no third-party leakage.
Spend reallocated, anomalies flagged, journeys adapted in minutes, while analysts move from tending charts to judgement work.
The measurement of your business runs on sovereign inference inside the perimeter, never on someone else's API.
Budgets shifted, anomalies flagged, journeys adapted, triggered by agents, bounded by policy.
Every result is measured into the warehouse, so the agents learn on your data, for you.
Decision latency compresses from a week to minutes, and nothing sensitive ever leaves European soil.
The disruption is not theoretical. Named, current evidence, cited, not claimed.
Databricks launched Genie One, an “agentic coworker,” and Genie Code, “an autonomous AI agent that fundamentally changes how data work gets done.”
Databricks →Snowflake's Cortex Agents (GA Nov 2025) let business users “analyze, summarize, and take action”, even write back to Snowflake tables to record decisions.
Snowflake →ThoughtSpot shipped four BI agents that work as a team to “move beyond merely answering questions to actually acting on them.”
ThoughtSpot →Take enterprise analytics from static dashboards to autonomous agents that surface why, recommend what next, and trigger downstream actions. Built on first-party data architectures that never leak signals to third parties.
Per-vertical scoring of which AI workloads belong on Claude or Codex, and which belong on self-hosted open-weight models. 84 enterprise workloads benchmarked across cost, latency, sovereignty risk, and strategic value.
How leading European retailers are deploying website and native-app experiences that out-convert cookie-banner journeys, and what their first-party, on-device, AI-driven measurement stacks actually look like.
In one 90-minute working session we map it across the frontier-sovereign axis, cost, risk, and strategic value. Then we tell you what we'd do.