Three ways to work with AI. Find the one your problem is asking for.
Three distinct ways of working — not three steps.
Which one fits depends on where your problem sits, not on how far along you are.
Our thinking.
The work we publish — our proof of caliber.
Sierra at $15.8 billion — what the agent-platform tier looks like up close, and how to think about build-vs-buy from the AU/NZ side
Bret Taylor's Sierra closed $950M Series E at ~$15.8B in May 2026, ~$165M ARR, more than 40% of the Fortune 50 as customers. What's actually under the hood, what they get right, what they cost, and the questions to ask yourself if you're weighing them against alternatives at mid-market scale.
The Claude Opus 4.7 enterprise upgrade playbook — what to migrate Monday, what to leave alone
Adaptive thinking, 1M-token context (beta), and the Compaction API. Most enterprises shouldn't migrate every workload yet. Here's the pre-production, staging, canary checklist we walk through with every managed-agent client the week after a flagship lands.
Agentic architecture — building production multi-agent systems on Claude
The real shift in enterprise AI isn't smarter models — it's coordinated agent fleets running document-heavy workflows for hours, with governance, audit trails, and human oversight by exception. The architecture that holds up in production.
Start with a conversation.
A scope call to frame your problem together — no deck, no hard sell.