A self-service AI readiness assessment — enter your company URL, answer a branching questionnaire, receive a branded readiness report with scored opportunities and an executive summary. Built on the same pipeline architecture that powers Iron Pine's internal strategic assessment engine, available free to anyone.
AI governance has moved from voluntary guideline to operational necessity. Here are the five questions Legal, Compliance, and risk-aware executives should ask before signing off on any AI deployment — and the answers that should give you confidence.
A custom community platform for fire service professionals — independently validated by an external strategy partner against $200K–$350K commercial alternatives. The analysis found no off-the-shelf SaaS option matched its capability set, and the custom build operated at roughly one-fifth the total cost of ownership.
A Phase 1 Integration Assessment is not a strategy deck. It's a structured map of the operational, data, identity, and governance reality that determines whether AI integration will work in your environment. Here's what we actually map, and why each layer matters.
A national fire agency registry organized by county — built to solve a specific operational pain point that no commercial dataset addressed. Six working sessions produced a 33,872-agency dataset with automated jurisdictional boundary mapping that did not exist before.
RAG is not a feature you add. It is a system you operate. Here are the five things that separate the prototype that wowed the executive team from the production deployment that's still working in eighteen months.
Salesforce just rebuilt its entire platform around a protocol most mid-market leaders have never heard of. Here's why that matters for your business.
Your CEO probably thinks AI-assisted development and vibe coding are the same thing. They're not, and that confusion will cost you money.
The biggest AI failures aren't happening in the model. They're happening in the org chart.
How we built a multi-tenant lab staffing intelligence platform end-to-end in twelve working sessions — from registry construction through Bullhorn CRM integration — for a PE-held laboratory staffing company now operating it as a live SaaS.
The chart shape is consistent across every mid-market AI deployment we've seen. Adoption climbs through the launch wave, peaks somewhere between weeks six and ten, and then bends downward. The root cause isn't the AI.