AI & Workforce Automation

Keep investment edge in-house, buy or partner for commodity workflows, and design recordkeeping, vendor oversight and human sign-off in from day one. Reg S-P, AI-washing and architecture principles.

Build in-house for deep expertise, sensitive data or fast-changing guidelines; outsource for volume with measurable quality. Hidden costs, quality controls, EU AI Act Article 10 and a hybrid model.

Buy a specific outcome with a path to production, not an open-ended strategy. Why AI pilots stall, which engagement types are worth it, and questions that separate strong firms from slide factories.

There is no single best AI agent framework. LangGraph, OpenAI Agents SDK, Claude Agent SDK, Google ADK, Microsoft Agent Framework and others compared by design, with five questions that decide it.

Agents lack trust infrastructure, not intelligence: authorisation, authenticity and accountability. What AP2 and the Agentic Commerce Protocol do, and a safe design for business transactions today.

AI is changing what you pay a development partner for, not whether you need one. What the productivity research shows and how to renegotiate an outsourcing contract.

Most fintech AI agents are not blocked by a rule against agents. They stall because nobody can show what the agent may do, how its decisions are explained and who owns the outcome.

Reporting, indexing checks and technical crawls can run on their own. Metadata and schema can be drafted by AI with a human gate. Publishing at scale and link building should stay human.

Agent token costs vary tenfold between an easy task and a messy one. Price off p90 cost per task, cut cost with caching and routing, and pick a billing unit that moves with it.

GEO has a real research origin and about four genuinely new working practices. The rest of the course syllabus is SEO you already know. What to learn, what to refuse, and whether to put it on your CV.