It just never made it into the log. RAID AI reads your own meetings and messages, spots the risks, assumptions, issues and dependencies buried in ordinary conversation, and keeps your RAID log current — automatically, inside your own Microsoft 365.
// PER-USER & CONSENT-BASED · RUNS IN YOUR TENANT · WRITES TO YOUR SHAREPOINT
Every PMO lead has said some version of this in a post-mortem. The RAID log isn't neglected because people don't care — it's neglected because keeping it current by hand, across every meeting and thread, is genuinely impossible. So it goes stale by week four, and the risk everyone half-remembered becomes the issue nobody owned.
RAID AI detects risks, assumptions, issues and dependencies from your own meetings and messages, and files them into SharePoint — no manual logging.
Delivery teams running real projects who know their RAID log is out of date and don't have time to fix it by hand.
The risk mentioned in passing on Tuesday is in the log by Tuesday night — with source, owner, impact and a suggested mitigation.
RAID AI is tuned for a specific taxonomy — not general summarisation. It knows the difference between a risk and a dependency, and logs each correctly.
Something that might go wrong. "If the vendor's late, we miss go-live." Flagged with impact and priority.
Something being taken for granted. "We're assuming the client sends the keys by Friday." Caught before it breaks.
Something already going wrong, right now. Surfaced and logged so it can't quietly persist unowned.
Something waiting on someone else. "This can't start until infra finishes." Tracked so it doesn't stall you.
Built for production, not just a demo — with the details that make it reliable and affordable to run.
Your meeting transcripts first — plus your own email and chat if you opt in. All via Microsoft Graph.
Low-signal messages are discarded before analysis — so it's accurate, and it doesn't burn cost on chit-chat.
Each real signal is categorised R/A/I/D with a title, owner, impact and mitigation — and a confidence score.
New items are added, duplicates skipped, existing ones updated. Your log stays current on its own.
The first question any serious buyer asks about a tool that reads communications is "whose communications?" Here's the straight answer, before you have to ask.
Not because someone maintained it. Because it maintains itself — in the SharePoint you already use.
Open your RAID register on any given morning and it reflects what was actually said yesterday — every risk, assumption, issue and dependency, categorised, sourced and prioritised.
No "I'll log it after this call." No stale spreadsheet. No risk that lived in someone's memory until it became an issue. The discipline every PMO wants and almost none sustain — finally sustainable, because a human isn't the one keeping it alive.
Risk registers are a better place to record risks. RAID AI finds the ones nobody recorded — that's a different job entirely.
| What matters | RAID AI | Risk registers & PM tools |
|---|---|---|
| Getting risks into the log | Detects them from real conversation | You type them in, manually |
| Keeping the log current | ✓ Updates itself, incrementally | Only as current as your last update |
| Catches what nobody logged | ✓ Yes — that's the whole point | No — if you forget, it's gone |
| Where it lives | ✓ Your SharePoint, your tenant | Another external platform |
| Setup effort | Runs against tools you already use | New system, migration, training |
Being straight with you: RAID AI is built and working, but it's early — we're running it on live delivery teams to measure exactly how many real risks it catches that would otherwise have been missed. We'd rather show you that number than invent one.
If your RAID logs are always out of date — and whose aren't — this is the lowest-risk way to find out whether this fixes it.
Talk about a pilot →Start with one PMO, one set of projects. Expand across the delivery org as it proves itself.
// Indicative ranges. Final pricing depends on team size, sources and integrations — confirmed on a scoping call. LLM usage is included within fair-use thresholds.
See RAID AI read a real transcript and log the risks nobody wrote down — in a fifteen-minute demo on your own projects.
See it find a risk →