Enterprise AI: practical guides for getting from pilot to production
10 in-depth guides on implementing AI in large enterprise systems and using AI to accelerate enterprise growth, with the data, governance and integration playbooks behind them.
"AI to Accelerate Enterprise Growth: A Sales and R&D Playbook"
"Use AI to accelerate enterprise growth: score prospects, protect pipeline, hear customers and speed R&D. Evidence from McKinsey, BCG and Gartner, plus a plan."
Shadow AI Risk and Control: A Practical Enterprise Guide
Shadow AI is already inside most companies. See the survey data, the breach costs and how a governed, approved AI platform beats bans at controlling risk.
AI Project Manager: Meetings, Actions and Follow-Through
An AI project manager handles meeting minutes, action items, scheduling, status reports and risk tracking. See what it does well and how Higgins fits.
"Integrate AI With Legacy Systems: PLM, ERP and SharePoint"
"Integrate AI with legacy systems like PLM, ERP and SharePoint: API vs repository access, ETL, security review and federated overlay vs rip-and-replace."
Enterprise Data Readiness for AI: One Source of Truth
Enterprise data readiness for AI explained: silos, structured vs unstructured data, quality, permissions, and how federated access builds one source of truth.
"Agentic AI in the Enterprise: From Chatbots to Action"
"Agentic AI in the enterprise explained: agents vs chatbots, orchestration, guardrails, human-in-the-loop, agent-washing and a maturity model for your rollout."
Enterprise AI Governance: Security and Compliance Guide
Enterprise AI governance explained: NIST AI RMF, ISO/IEC 42001, the EU AI Act timeline, GDPR, HIPAA, SOC 2, Part 11 and the controls that keep AI safe.
"AI in Regulated Industries: A Practical SOP, QA and RA Guide"
"AI in regulated industries demands validation, audit trails and human review. See how QA/RA teams can apply AI to SOPs, CAPA and submissions with control."
Measuring AI ROI: Usage-Based Pricing vs Seat Licenses
Measuring AI ROI is hard. Learn leading vs lagging indicators, why usage-based pricing beats seat-license shelfware, and see a worked illustrative model.
Why Enterprise AI Pilots Fail and How to Reach Production
Why enterprise AI pilots fail: the 95% finding, pilot purgatory, weak adoption, poor workflow integration and data access, and a phased path to production.
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