Less admin, more leadership
Reduce manual note-taking and task “janitor work”. PMs spend more time on risk, alignment, decisions, and stakeholder management.
AdvantPM helps organizations embed AI into project delivery so action items are captured accurately, assigned instantly, and tracked consistently — without adding noise to your task tracker.
*Typical outcomes vary by team maturity, tooling, and governance. We validate impact with a pilot first.
Project delivery breaks down in the handoff between discussions and execution. AI closes that gap by converting unstructured information into consistent actions — at scale.
Reduce manual note-taking and task “janitor work”. PMs spend more time on risk, alignment, decisions, and stakeholder management.
AI captures tasks and RAID items from meetings, chats, and documents — even when teams move fast. Consistency improves, and details don’t slip.
We implement rules so the AI produces actionable items only — with owners and due dates — plus structured risks, issues, assumptions, and dependencies.
We don’t just “add AI”. We design a practical operating model: prompts + rules + integrations + governance — so outputs are trustworthy and adopted.
Align on what counts as a “task”, how due dates are inferred, and how RAID items should be logged. This prevents noise and keeps trackers clean.
Meetings, email summaries, chat threads, or docs become reliable inputs. Output lands where teams already work: Jira, Asana, Monday, ClickUp, or Sheets.
PMs approve and refine items before they sync. This builds trust, protects quality, and supports governance requirements.
Track key outcomes: admin time saved, follow-through rates, cycle time, and fewer missed dependencies. Then scale across teams.
We’ll run a short pilot, validate quality, and quantify ROI before scaling.
Choose a focused engagement or a full rollout. We keep it practical: fast wins first, governance baked in.
2–4 weeks
4–10 weeks
Project-based
AI isn’t the goal. Better delivery is. Here’s what improves when execution becomes systematic.
“The biggest shift wasn’t the AI — it was the consistency. Every meeting produced usable actions with real ownership and fewer duplicates.”
— Program Delivery Lead (example)We design AI workflows to fit your organization’s standards — including approval gates, access controls, and audit-friendly outputs.
Sensitive environments need control. Your team reviews and approves outputs before they sync to systems of record.
Connect only what’s required. Limit scopes, rotate credentials, and keep clear boundaries between inputs and outputs.
Tasks and RAID items are structured, consistent, and traceable — making governance and reporting simpler.
Tell us what tools you use and what slows delivery down. We’ll propose a practical pilot with measurable outcomes.