Automation metrics that matter in 2024
A framework to measure impact beyond time saved, including reliability, autonomy, and human oversight.
- Published on
- Jun 18, 2024
- Tags
- trendai
Research & R&D
Trend reports, technical analyses, and playbooks for teams building AI-native products.
Every piece is bilingual, reference-ready, and backed by experiments we run with partners.
Where teams blend responsible AI copilots with component libraries.
A deep dive into how distributed squads use LLM copilots to keep design and engineering in sync.
Playbooks, launch room previews, automation blueprints, and leadership signals.
Pick a mission-critical outcome, review scope and deliverables, then clone the cadence into your roadmap.
Open pageTransparent status, risk, and enablement views keep product, design, engineering, and leadership aligned without extra meetings.
Open pageSupabase, n8n, and custom services orchestrated with observability, security, and governance baked in.
Open pageMonthly outlook with the risks, opportunities, and KPIs we’re watching across AI, DesignOps, and growth.
Open pageFilter by focus area and share with your team.
A framework to measure impact beyond time saved, including reliability, autonomy, and human oversight.
Step-by-step guidance for setting policies, audit trails, and evaluation loops without slowing releases.
How to coordinate localization, QA, and analytics when shipping weekly across languages.
Practical evaluation metrics, tooling, and rituals for maintaining AI quality in production.
Architecture patterns for observing, alerting, and governing AI features after launch.
Keep distributed teams aligned with living documentation, async rituals, and multilingual tooling.
We package custom workshops and reports for leadership teams navigating AI adoption.