Insights

What we're learning, as we build.

Field notes, client stories and considered perspectives on putting AI to work, from the team building co-CEOs.

Client stories
Client storyBTG Advisory14+ agentsbuilt by one marketing team, in six weeks
BTG Advisory · Client storyHow BTG built team-wide AI adoption capacity in six weeksBTG's marketing team went from individual AI experimentation to deploying 14+ purpose-built AI agents across their core workflows. This is what happened when a leading advisory firm committed to building capability as a team.
Tim BondTim BondRead the story
Change who does the steps, not every step.
Reality check2 Aug 2026 · 6 min read
AI value doesn't start with a redesign programmeThe assumption is that value from AI requires redesigning the organisation, re-engineering the workflows and retraining everyone first. It doesn’t. Augment the people and processes that work today, and adopt a platform in which the redesign thinking has already been done.
Six things to get right.
Reality check24 Mar 2026 · 6 min read
The end of business as usual: six things enterprises must get right with AILast week I spoke at Stockholm Fintech Week. The talk covered what we've learnt at CogniScale helping enterprise teams build AI agents. Here are the six things most organisations are getting wrong.
Find your sensible place with AI.
Future signals1 Feb 2026 · 6 min read
Find your sensible place with AIIt's not often I hear an interview that genuinely reframes a familiar subject. Marc Andreessen's recent conversation with Lenny Rachitsky did that for me.
Success creates its own problems.
Reality check7 Jan 2026 · 11 min read
The problem AI success createsThe biggest risk in AI transformation is no longer adoption. It's success. When transformation works, new challenges emerge: governance, control, discoverability, and ROI visibility.
Sequence, not supremacy.
Industry insight6 Jun 2025 · 8 min read
AI-first: let's clear up the confusion once and for allDuolingo's AI-first backlash. Klarna's chatbot disaster. The public thinks AI-first means mass redundancies. Here's what it means - and why it matters for your team.
What Microsoft’s AI report tells leaders
Reality check10 Jan 2025 · 5 min read
What Microsoft’s AI report tells leadersMicrosoft's research on AI at work finds a gap between adoption and productivity gains. What separates the two, and what it means for your team.
Guides and stories
Executive briefingWhat leaders need to decide before everyone gets an AI colleague.Read →How we workThe seven steps, from the first conversation to organisational intelligence.Read →The full platform guideHow co-CEOs, Connected Colleagues and permissions work.Read →AI Opportunity ReportFind out where the pressure sits in your organisation.Start →SimCorp86% time reductionSimCorp's marketing programme, client story.Read →
The co-CEO character
Everyone gets a co-CEO.Start with one team and one pressure point. We'll show you what it does on a normal Monday.
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