Plain-language briefings and whitepapers for finance and technology leaders approaching AI and enterprise agents for the first time. Each one introduces the concepts and the decisions behind a deployment that delivers, and points to the deeper research where the engineering is treated in full.
Briefings & Whitepapers
Start here. These pieces are the on-ramp to the rest of the library.
-
01
Your Board Wants AI. Where Do You Start?
Turning a board mandate into a deliverable program: the architect the work turns on, how to validate, where to begin, and how to scale by function.
-
02
Implementing Your First AI Agent Pilot
The five questions to ask a vendor, the pitfalls that sink most deployments, the economics a pilot has to prove, and how to tell when a pilot is ready to scale.
-
03
Is AI Part of IT?
Why AI delivery splits into four responsibilities with four owners, why no single function holds them all, and where the capability should sit. A whitepaper on ownership.
-
04
I Have Working AI Agents. What Do I Do Next?
Going from one working agent to many without multiplying cost and risk: learning from a few dissimilar pilots, when the data foundation pays off, make it right then make it fast, and why orchestration decides the economics. A whitepaper on scaling.
-
05
Does Your AI Agent Need a Semantic Layer?
What a semantic layer actually is, the one test for whether your agent needs one, and why a governed metrics catalog is not the same thing in finance. A whitepaper on grounding agents in business meaning.