Archos LabsThe Translation Layer
Where AI programs break.
The Translation Layer is the only AI newsletter written by someone who has broken these programs from the inside and is building the replacements.
Data as a Decision Infrastructure
Your AI Agent Is Lying Because Your Data Is Broken
Before you build an AI agent, audit the data it will actually use. Four failure modes founders miss and the checks that catch them before the rebuild.
3 min read · Published
AI as Strategy
Your AI Tool Isn't Broken. Your Data Is
Switching AI platforms won't fix bad output if your data is the problem. Here's how founders can tell the difference between model failure and data failure.
3 min read · Published
AI as Strategy
Why AI Tools Don't Build Capability On Their Own
Most organisations own AI tools they can't use well. We name the 4 non-technology investments that build durable AI capability and the order to make them.
3 min read · Published
The Execution Layer
MIT AI research: Vendor vs Internal Builds (2025)
MIT NANDA found vendor-led AI projects succeed 67% of the time vs 33% for internal builds. Here's when that gap is real and when it isn't.
4 min read · Published
Data as a Decision Infrastructure
Data Fluency Is The Skill Your Dashboard Won't Teach
Executives fail at data-driven decisions not from lack of data but from weak judgment. Learn how to interrogate evidence, spot bias, and decide better under…
3 min read · Published
Human-Centered Transformation
AI Training Tracks Completion Not Capability
Most AI training programs count completions, not capability. Here's a performance-linked design measures AI fluency where it shows up — in real decisions.
3 min read · Published
AI as Strategy
AI risk gaps your board register is missing
AI systems fail in ways traditional risk registers don't name. A practical AI risk taxonomy covering model, data, operational, and reputational risk for boards.
3 min read · Published
The Execution Layer
Why AI Pilots Succeed But Never Reach Production
Your AI pilot worked. So why is it still a pilot? Four structural reasons enterprise AI stalls between demo and deployment, and the questions that fix it at…
3 min read · Published
Data as a Decision Infrastructure
Data Silos Are An Accountability Failure
Data silos persist because no one is accountable for sharing, not because systems fail. A root-cause diagnostic for leaders in divisional organisations.
3 min read · Published
Human-Centered Transformation
Why AI Adoption Stalls And What To Fix First
AI adoption resistance clusters around five specific concerns. Each one needs a different response from leaders before rollout, not after the team disengages.
3 min read · Published
