Asimov AI requires client team leaders to complete intensive induction sessions on the nature and causes of algorithmic hallucinations in the legal domain before system use.
The AI@EC managers package targets decision-makers with governance-oriented AI modules such as rules of engagement and navigating AI Act impact.
Ingka reports leader-focused workshops on digital ethics, 649 senior leaders engaged in ethical AI sessions, and broader AI governance frameworks.
Replaced a weekly long-form update with a live dashboard and short AI brief; freed capacity for forward-looking work. Redefined responsibilities and trained teams.
Connected calendar, CRM, email/Slack and note tools so one system produces briefings, flags conflicts and routes follow-ups; others reuse it.
Every week AI aggregates calendar, attendee context and prior threads into a fixed brief; they iterate prompts and spot hallucinations against source material and can cite time saved.
Uses AI to tighten emails or summarise meetings; priority routing and judgment work are unchanged and there is no repeatable workflow or measurement.
Rebuilt how corp dev works: sourcing, screening, diligence and memo generation are AI-first. Team focuses on deal judgment and relationship work.
Connected deal sourcing, research tools and AI into one pipeline; cut time-to-IC-memo. Built a target screening workflow that scores inbound opportunities automatically.
Uses AI across deal evaluation every week: market mapping, comps, CIM synthesis and IC memo drafting. Built a repeatable diligence workflow across multiple deals.
Uses AI for basic research only, like to summarise companies or markets. Tries AI for diligence but doesn't rely on it.
Rebuilt planning, reporting and decision systems around AI. Stopped legacy static reporting entirely; reallocated capacity to forward-looking analysis.
Connected data sources, reporting tools and AI into one system. Insights surface without manual pulls and the team runs it. Built automated reporting workflows.
Uses AI across reporting, analysis and synthesis every week. Built repeatable workflows for recurring analyses, now embedded in how the work gets done.
Uses AI occasionally for note cleanup, summaries and light analysis, but doesn't rely on it. Cannot point to evidence that reporting is faster or decisions are better.