Applied AI

Practical thinking on AI implementation, operating architecture, and scaling professional services firms.

Operations

Avoiding common pitfalls when deploying AI

Most AI projects stall for fixable reasons. Three operational problems explain the gap between adoption and value.

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Growth

How mid-market firms use AI to scale without scaling headcount

Your board wants growth. Your ops team is stretched. The answer is leverage: redesigning work so each person's effort compounds.

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Strategy

Beyond hourly billing: how AI changes professional services economics

If AI makes your team faster and you bill by the hour, efficiency becomes a revenue problem. The fix is productised services.

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Framework

The operating architecture your AI tools need

Your AI tools are not failing. The layer beneath them is missing. Six elements that separate firms achieving real value from those running pilots.

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AI Agents

AI agents for business: where to draw the line

79% of companies now use agentic AI. Fewer than one in 20 capture real value. The difference is governance, not technology.

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