AI Strategy
580 articles
Strategy work is where most AI programs are won or lost, long before a model gets picked. This is the planning layer: how to sequence a first year, which problems justify custom work, what to centralize versus leave to teams, how to budget when pricing shifts every quarter, and how to tell a real result from a demo. Aimed at operators at $5M+ companies who have to defend the spend.
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Short-Term vs Long-Term AI ROI: Setting Realistic Expectations
How AI ROI evolves over time: what to expect in the first 90 days, first year, and beyond, and how to set expectations that keep leadership patient through the compounding phase.
Small Business AI Consulting: What to Look For
What small business owners and operators need to look for in an AI consulting partner, including scope, pricing, and what to avoid.
SMB AI Adoption: A Realistic Guide for Small Businesses
What AI adoption realistically looks like for small businesses under $10M: where to start, what to avoid, and what success looks like without enterprise budgets.
Stages of AI Adoption: From Pilot to Enterprise Scale
The five stages of AI adoption from initial experimentation through enterprise-scale deployment, with characteristics and transition requirements for each stage.
Strategy-First vs Tool-First AI: Why It Matters
Most businesses buy AI tools before they have a strategy. Here is why that fails, what strategy-first AI actually looks like, and how to get on the right path.
Ten AI Operations Workflows to Automate First
The ten highest-value operations workflows to automate with AI first, with time recovery estimates, Foundation requirements, and a deployment sequence.
The Complete Guide to AI Consulting Services for Business Growth
Everything business leaders need to know about AI consulting services: what they are, types available, how to choose, costs, and how to measure ROI.
Can You Run Your AI Stack on Local Hardware?
Whether running your AI stack on local hardware saves meaningful money on API costs and which workflows actually benefit from running locally.
How to Scale Your Dev Agency with Claude Code
The 3 scaling levers for development agencies using Claude Code: more clients per developer, faster delivery, and higher-margin work, with an operational playbook and capacity table.
Scaling AI Implementation Across Your Enterprise
How to scale a successful AI pilot into enterprise-wide deployment: governance, infrastructure, training, and change management at scale.
The Screen/Room Distinction: The Only AI Framework You Need
One distinction answers almost every practical AI question for a $5M+ company: screen work vs room work. Here's how to apply it across every function.
Security and Privacy Risks of Using AI Tools
The real AI security risk is not hackers. It is employees pasting client data into free tools with no policy. Here is what to fix and how fast you can fix.