Perspectives on building AI workflows for client work — from practical tips to deep dives on architecture, ROI, and the future of consultancy automation.
Bring-your-own-key isn't just about cost savings — it's about data sovereignty, audit trails, and knowing exactly which model sees what. A practical breakdown for teams that take privacy seriously.
From intake briefs to final deliverables, these five templates cover 80% of client-facing work. Each one is ready to clone, customize, and deploy in minutes — not weeks.
The first wave of AI tools gave us single-turn chat. The next gives us repeatable, composable workflows. Why this shift matters more than model improvements for real consulting work.
A framework for quantifying what AI actually saves — billable hours, revision cycles, and time-to-deliverable. With real numbers from three consulting engagements.
Every run generates feedback. The right architecture turns that feedback into automatic refinement — so the workflow you built in January is measurably better by April.
Pre-built agents cover the basics. When you need domain-specific reasoning, a custom agent is the answer — and the barrier to entry is lower than you think.
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