Project & portfolio intelligence

Turn complex delivery into
clear, defensible decisions.

Advani Innovation unifies project data, risk, ROM estimates and on-the-ground updates into one decision layer for construction, healthcare and technology programs.

Built for sponsors, PMOs and delivery teams who need evidence-backed plans, not static slide decks.

Four products. One data model.

Each product sits on the same underlying architecture and governance model, so information is consistent from the workface to the board report.

Wisdom AI

Project layer

A project cockpit that connects scope, cost, schedule, ROM, risks and dependencies into a single, audit-ready view. Designed around real capital projects rather than generic task lists.

Example use Capture scope in natural language, auto-generate WBS and ROM, align with risk registers, then export a sponsor-ready brief.

Scope–cost–schedule linkage Risk-aware planning Governance-ready exports
Discuss Wisdom AI

PPM AI

Portfolio layer

A portfolio view across programs, with risk clusters, ROM accuracy, funding pressure and benefit realization visible on one screen for leadership conversations.

Example use Bring in active projects, group risks by impact, surface under-resourced initiatives and build a concise portfolio narrative for steering committees.

Cross-project risk view Funding & capacity signals Executive portfolio summaries
Discuss portfolio view

PM Mini

Field layer

A lightweight interface for site teams and coordinators. Short tasks, structured status, constraints and photos feed directly into the project and portfolio views.

Example use A foreman records updates verbally, PM Mini structures them into punch-list items that immediately appear in Wisdom AI with risk and schedule impact.

On-site reporting Voice-to-task capture Aligned with PMO data
Preview PM Mini

Master AI

Decision layer

The orchestration engine across products. It reads scopes, estimates, risks, changes and delivery data to recommend options that are transparent and defensible in front of stakeholders.

Example use Allow Master AI to analyse the portfolio and ask a simple question: “Which initiatives can slip without compromising agreed outcomes?” Receive a ranked, explainable response.

Scenario analysis Explainable recommendations Portfolio-wide insight
Explore Master AI

How the platform behaves in real work.

The focus is not features for their own sake, but measurable impact on delivery confidence, risk posture and the quality of management decisions.

Capital buildout (construction / healthcare)
  • Import existing scope and cost spreadsheets into Wisdom AI.
  • Automatically align ROM, risk, training and commissioning activities.
  • Share a structured, single source of truth with project sponsors.
PMO portfolio review
  • Synchronize projects into PPM AI and apply consistent risk categories.
  • Use Master AI to highlight schedule and funding hot spots before governance forums.
  • Export concise briefing material directly into existing templates.
Vendor and contractor coordination
  • Capture vendor constraints, dates and interfaces via PM Mini.
  • Allow Wisdom AI to recalculate schedule contingencies in real time.
  • Provide vendors with targeted, filtered views of only what they need.
“What-if” and contingency planning
  • Ask Master AI to simulate scope changes, deferrals or funding shifts.
  • Compare scenarios based on risk exposure, value delivery and resource impact.
  • Lock preferred scenarios into portfolio baselines and exports.

Representative screens from the current builds.

These stylised frames are based on the working demos built to support capital projects, training facilities and IT upgrade programs.

Wisdom AI – project summary tab
Summary
Scope
Risk
Scope Schedule Risk ROM Readiness
PPM AI – portfolio risk signals
Signals
Funding
Capacity
High risk Schedule Funding Readiness

AI here means Advani Innovation.

The initials match on purpose. The platform is built to combine modern AI with disciplined project management practice, rather than replace it.

  • Clarity, not clutter.
    Screens are designed to support governance conversations: what changed, why it changed, and how it affects cost, schedule and risk.
  • Single chain from scope to ROM.
    Inputs flow from requirements to structured scope, WBS and ROM using the same logic applied on live hospital and campus projects.
  • Field data that holds up in the boardroom.
    PM Mini keeps updates practical for site teams while Wisdom AI and PPM AI consolidate them into material that can stand in front of directors and auditors.
  • Built from delivery experience.
    The model reflects work on real buildouts, labs, relocations and IT integrations, not only theoretical frameworks.
Advani Labs.
New engines and models are tested in Advani Labs against real project patterns before being released into Wisdom AI, PPM AI or Master AI. The aim is consistent behaviour, predictable outputs and a roadmap that investors and customers can understand.

Advani Innovation is led by founder Vikas Advani, a project manager who has delivered hospital ambulatory centres, laboratory integrations and technology upgrades in complex environments. The products are designed around the questions sponsors actually ask: “Can I trust this number?”, “Where are we exposed?” and “What happens if we move this decision?”—and to answer those questions with structure rather than guesswork. Contact Vikas at admin@advaniinnovation.com

Built with delivery teams, not in isolation.

We are partnering with PMOs, operators and contractors who want to raise the quality of their planning, reporting and portfolio conversations without replacing the tools they already rely on.

Explore where Advani Innovation fits.

Share a brief description of your portfolio or a single flagship project. You will reach Vikas Advani directly, and will receive a concise view of how the platform could support your delivery, governance or investment thesis.

Primary contact
Connect with Vikas on LinkedIn and mention “Advani Innovation – project intelligence” in your note.
LinkedIn: Vikas Advani