AI-Powered Project, Program & Portfolio Governance Platform
PMO Intelligence Suite
Run projects and portfolios with AI-assisted governance
PMO Intelligence Suite helps organizations structure projects, programs and portfolios, select an appropriate delivery approach, establish governance, manage evidence and documentation and improve executive visibility.
Run projects and portfolios with AI-assisted governance
A PMO may manage predictive, agile, hybrid, enterprise agile and AI/ML work at the same time. The challenge is not just tracking tasks; it is knowing what governance, evidence and executive attention each initiative actually needs.
intake → methodology → governance → artifact → portfolio
- 01Understand the initiative
- 02Select the delivery model
- 03Establish governance
- 04Manage execution
- 05Maintain project evidence
- 06Give leadership visibility
PMOs need more than status dashboards. The product focuses on how work should be governed, what evidence should exist and what leadership needs to know.
intake → methodology → governance → artifact → portfolio
Product State
Engineering & Product Evidence
Predictive, Agile, Hybrid, Enterprise Agile and AI/ML delivery models
Project, Program and Portfolio work levels
Governance across health, risk, issues, dependencies, assumptions, changes and decisions
Artifact generation, versioning and traceability
Automated quality validation including build, smoke, browser and end-to-end checks
Current Product Boundaries
- Enterprise SaaS V2 remains in development.
- Planned SSO, SCIM, integrations and agentic capabilities are not represented as live until their gates close.
- Deployment equivalence for the exact technically validated baseline remains pending.
- PMI-aligned design does not imply PMI certification, endorsement or assurance of the product.
- LOCAL-CERT, when referenced in technical evidence, means internal/local technical validation of software state; it is not third-party certification, endorsement or assurance.
- No customers, revenue or production-at-scale claims are made.
The engineering repository, internal schemas, prompts, business rules and sensitive implementation details are not publicly distributed. Public evidence demonstrates capability and maturity without exposing the implementation.