Execution standards first
We define what “good” looks like in your context — decision rules, quality bars, and what must be approved — so results don’t drift over time.
About AdvantPM
We build agentic AI that teams actually trust and adopt.
AdvantPM exists to make project execution faster without sacrificing quality. We embed agentic AI directly into the tools, documents, and governance your teams already use — so outputs stay accurate, consistent, and approval-ready.
What clients get
A practical operating model for AI execution — not just a pilot.
- Rules-first output: definitions for tasks, due dates, RAID, and updates
- Deep integration: works where work already lives (notes, chat, email, docs)
- Governance built-in: approvals, audit trails, and controlled automation
- Measurable impact: reduced admin overhead and cleaner execution signals
Our approach
Adoption is the hard part. We make AI behave like your best PM — with consistent logic, accountable outputs, and rollout support that fits real delivery environments.
Built into your workflow
We connect into your existing stack and documents so teams don’t have to change how they work just to use AI.
Governed automation
Approvals, audit trails, and controls ensure the AI output is trusted — making it safe to scale beyond a demo.
Our team
A delivery-first team combining enterprise engineering, execution governance, and financial discipline — focused on turning agentic AI into dependable day-to-day operations.
Hossein Moosavi
Technical Project Manager
Hossein Moosavi (Technical Project Manager) is a PMP- and CSM-certified project management and delivery leader and Senior Technical Project Manager with 10 years in the software industry across business and engineering environments. He has led client-facing enterprise programs end-to-end—owning delivery governance, stakeholder alignment, technical implementation, and data migration workstreams through go-live and adoption. With experience in machine learning and data analytics, he founded AdvantPM to embed agentic AI directly into project management workflows, making execution faster while keeping outputs accurate, trusted, and adopted. He holds an M.Sc. in Industrial Engineering (Management Engineering) from Concordia University.
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Atefeh Ghasemi
Business Analyst
Atefeh Ghasemi (Business Analyst) brings experience in business analysis, process improvement, and data-driven planning. With an M.A. in Economics (SFU), she helps AdvantPM turn business needs into clear requirements, supports workflow optimization, and contributes to designing practical solutions that improve efficiency and measurability across project management processes.
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Ali Moosavi
Engineering Lead
Ali Moosavi (Engineering Lead) brings long-term enterprise engineering experience from SAP, where he has spent over a decade as a Senior Software Developer and contributed to widely used analytics and reporting platforms. With strong foundations from UBC (M.Sc. Computer Science), he helps AdvantPM translate agentic AI into robust software that teams can trust in production.
View LinkedInWant to see it in your workflow?
Tell us what you use today and how your team works. We’ll show a clean, governed implementation that fits your execution reality — not a generic AI demo.
Included: execution rules, integrations, approvals
Result: consistent tasks + RAID your team can trust
Prefer the main form?
Use the “Book a demo” section on the home page.