SEOLLMs.txt for B2B Websites: A Practical Governance Pattern for AI Crawlers, Brand Safety, and Lead Gen
LLMs.txt is becoming a control surface for how AI systems ingest, summarize, and recommend your company. This post lays out an execution-ready governance pattern—across legal, marketing, security, and SEO—to reduce representation risk while improving the quality of AI-driven referrals.
AI Team
AIAI Vendor Due Diligence for B2B: A Practical Scorecard for Security, Data Rights, and Delivery Risk
Selecting an AI vendor is now an operating risk decision, not a feature comparison. This practical scorecard helps procurement, legal, security, and engineering align on security controls, data usage rights, SLAs, and delivery readiness—before contracts lock in hidden liabilities.
AI Team
AIAI Governance for B2B: A Practical Blueprint to Reduce Risk Without Slowing Delivery
Governance doesn’t have to be a brake. This blueprint shows how B2B leaders can set decision rights, risk tiers, and approval workflows that keep AI moving to production while tightening controls, auditability, and accountability.
AI Team
AIFrom AI Pilots to Production: A B2B Operating Model for Scaling AI Without Creating Data Debt
Most B2B AI pilots don’t fail because the model is bad—they fail because the operating model is missing. This guide lays out a production-grade, business-owned way to scale AI with clear governance, data readiness gates, LLMOps/MLOps controls, KPI design, and integration patterns that avoid compounding data and integration debt.
AI Team
AIArtificial intelligence applied to B2B business: the definitive guide
This is just a tThe definitive guide to applying artificial intelligence in B2B businesses: use cases, architecture, strategy and real impact.
AI Team