Insights
Field observations. Frameworks we use. Arguments we stand behind. No hype. No predictions 10 years out.
What pages does a doctor's website need to appear on Google, Maps, and ChatGPT
A minimum architecture for a medical website that communicates identity, services, location, and verifiable answers on Google, Maps, and ChatGPT.
Read article
Why your medical office doesn’t appear on Google Maps and how to diagnose it
Diagnose why a medical office doesn’t appear on Google Maps: eligibility, verification, policies, information, category, website, and local rankings.
Read article
How to build a legal knowledge base with Claude without uploading the entire firm
Build a useful legal knowledge base for Claude with a defined scope, approved sources, versions, permissions, and testing, without uploading the firm’s entire archive.
Read article
How to Run a Claude Pilot at a Law Firm
Design a Claude pilot for a law firm with a limited scope, controlled documents, legal review, metrics, and continuation criteria.
Read article
Claude Team or ChatGPT Business: Which Is Right for Your Business?
Compare Claude Team and ChatGPT Business by use case, administration, data, integrations, costs, and criteria for moving to Enterprise.
Read article
A license isn’t implementation: what a company needs after subscribing to Claude or ChatGPT
Subscribing to Claude or ChatGPT makes a tool available; implementing it requires processes, data, controls, training, metrics, and accountable owners.
Read article
AI platform or API integration: how to choose for your company
Compare an enterprise AI platform with an API integration based on process, users, data, control, costs, security, and implementation speed.
Read article
What information does a consultancy need to quote an AI implementation?
Learn what information a consultancy needs to quote an AI implementation: process, data, systems, users, risks, scope, and metrics.
Read article
AI for risk management: analyzing information is not predicting incidents
Learn what AI can do in risk management, why analyzing reports is not the same as predicting incidents, and how to validate a responsible pilot.
Read article
AI for analyzing sales calls: what it can evaluate and what a person should decide
Find out what AI can analyze in sales calls, which decisions require human review, and how to design a pilot connected to the CRM.
Read article
Does AI replace employees or make them more productive? The honest answer for business leaders in Mexico
AI doesn’t replace employees; it replaces tasks. Companies that apply the “human-in-the-loop” model (a human with authority over critical decisions, with AI as an accelerator) report +25-40% productivity. The right quest
Read article
Enterprise AI trends for 2025-2026: what’s next, what’s hype, and where to invest now
The period 2025-2026 marks the transition from experimental AI to AI with measurable ROI. Three areas account for immediate returns: RAG assistants for internal knowledge, controlled automation workflows, and content gen
Read article
How to measure AI ROI in your company: metrics, formulas, and an evaluation framework
Enterprise AI ROI is calculated as: (Annual benefit − Annual investment) / Investment × 100. The trick isn’t the formula: it’s defining benefits correctly (savings + new revenue + the value of time freed up) and includin
Read article
AI adoption plan for your company: a 90-day roadmap from assessment to the first measurable result
An AI adoption plan in 90 days is carried out in three phases of 30: assessment (mapping data, processes, and prioritized opportunities), pilot implementation (one use case with defined KPIs), and consolidation (measurin
Read article
AI consulting for businesses in Mexico: what to expect, how much it costs, and how to choose the right consultant
AI consulting in Mexico typically starts at $200k-$1M MXN for an assessment + first use case, with monthly retainers of $50k-$300k. A reputable consultant requires an assessment before making a proposal, measures ROI fro
Read article
Company AI Use Policy: What to Regulate, What to Allow, and How to Protect Sensitive Data
A company AI use policy should address four areas: which data can be entered into external tools, which use cases are allowed versus prohibited, employee responsibility for errors, and enforcement mechanisms. Without ali
Read article
AI for data analysis at your company: how to get insights from your spreadsheets without being a data scientist
AI turns scattered spreadsheets into actionable insights without a data science team. The practical approach: connect your Excel/Sheets files to an LLM copilot with RAG over your tables, then validate queries against kno
Read article
More productive meetings with AI: how to automatically transcribe, summarize, and follow up on agreements
Meetings consume 37% of executive time, much of it unproductive. Tools such as Fireflies, Otter, or Granola transcribe, summarize, and generate action items automatically. The real ROI isn’t saving minutes: it’s ensuring
Read article