Consulting Library

Operating models, value creation theses, portfolio moves.

Cashflow, FP&A modernisation, cost-to-serve and value capture.

S/4HANA, Oracle Cloud, NetSuite—playbooks from strategy through go-live.

Use-case roadmaps, governance, safety, and full-stack adoption patterns.

ICP focus, packaging, pricing, and revenue architecture that sells.

Portfolio-level AI thesis, use-case scoring, 90-day capital cadence, and value tracking.

Minimal viable data posture, pipelines, governance, and platform patterns for AI scale.

Policy kits, model risk, explainability thresholds, human-in-the-loop, and audit trails.

Copilots, automations, decision-centric reviews, and measurable cycle-time reduction.

Role redesign, skills pathways, enablement kits, adoption metrics, and risk controls.

Learning how algorithms think — from linear models to transformers — without drowning in jargon.

Understanding where data comes from, how it’s cleaned, and why the “boring work” shapes results.

Small, testable changes that make a big difference — and how to measure if they really work.

Walking through real scenarios — from chatbots to diagnostics — and unpacking what works and why.

Exploring creativity, ethics, and collaboration when machines become part of our daily work.