Tag: consulting
The consultant who fought to keep his client off AI
Some advisors resist letting a company connect AI to its own systems, dressed up as too risky. The Everlaw survey found 90% of legal professionals expect AI to change billing within two years. The real driver is an AI consultant protecting the gatekeeper role.
How I run my whole consulting practice with Claude
I run Blue Sheen, the firm I lead with Pravina, through Claude and Claude Code. The practice lives in a version-controlled folder that Claude reads at the start of every session, with Close CRM as the source of truth. This is the real workflow stage by stage: prospecting, proposals, delivery, and the judgment a human still has to own.
How to run entire projects with Claude Code and Cowork
Most people use Claude to write emails. I use Claude Code and Cowork from Anthropic to run entire consulting engagements with 20+ stakeholders and full deliverable tracking. Here is the project structure that makes it work.
Forward deployed engineer: Why this role demands real technical depth
Forward deployed engineers bridge the gap between software platforms and customer reality. The role, pioneered at Palantir and seeing 800% growth in job postings, fails catastrophically when filled by people without real coding skills.
AI multiplies consultant expertise without replacing consultants
Professional services firms are using AI to scale expertise rather than cut headcount. A Harvard Business School study found junior consultants improve productivity by 43% with AI tools, while experienced partners multiply their impact across more clients.
Starting an AI consulting practice - focus on outcomes, not technology
Stanford HAI reports 88% of organizations now use AI, yet most new AI consulting practices fail within a year. The winners position themselves as business problem solvers who happen to use AI, focusing on outcomes executives actually care about.
How to find a Claude Code implementation specialist who delivers
Most AI consultants fail at Claude Code because they treat it like ChatGPT with a different logo. Specialists understand MCP, context windows, and why tens of thousands of tokens disappear before you even start. Here is how to spot the difference between someone who read the docs yesterday and someone who can implement.