Blog
Notes on AI-native portfolio management
Posts from the founder on AI governance, integration depth, EVM, and how to evaluate the modern PPM landscape. Written in IntelliPPM’s voice — opinionated, practical, no statistics we did not source ourselves.
May 3, 2026
AI-governed PPM: what it means and why it matters
AI-governed PPM is not a chatbot bolted onto a portfolio tool. It is a decision plane that produces auditable, explainable, human-gated recommendations — and a governance model that treats AI as a first-class actor with the same provenance as any human approver.
May 3, 2026
How to evaluate enterprise PPM tools in 2026
An evaluation framework for enterprise PPM tools that reflects the 2026 landscape — AI as a first-class actor, Integration OS as a differentiator, governance defaults that match the regulated reality, and EVM that is honest under audit.
May 3, 2026
EVM in modern portfolio management: practical guide
EVM done honestly in a modern PPM platform — what BAC, PV, EV, AC really mean, the most common ways implementations get the math wrong, and how variance decomposition turns EVM from theatre into a working executive surface.
May 3, 2026
Connecting Microsoft 365 + Jira to your PPM platform
Most enterprise portfolios run on Microsoft 365 and Jira simultaneously. Connecting both to a PPM platform without losing the round-trip is a substrate problem — the canonical model, the Identity Graph, echo-loop prevention, and per-field conflict policy are what make it work.
May 3, 2026
Strategy-to-ledger traceability for portfolio leaders
Strategy-to-ledger traceability is the property that a single executive question — 'why are we spending money on this?' — has a single, auditable answer that connects the spending in the GL back to the strategic objective the portfolio leader committed to. Most enterprise PPM stacks lose that thread.