AI-POS is the decision intelligence layer for enterprise PMOs. It reads your Jira, Microsoft Project, SAP and Excel, predicts execution risk weeks before it surfaces, and gives executives the recommendations they need — not another dashboard.
Enterprises run hundreds of programs across thousands of dependencies. Every system tracks tasks. None of them tell leadership what to decide next.
By the time a red status reaches the steering committee, the slippage is already in the quarter. PMO reports lag reality by weeks.
Senior PMs and PMO analysts assemble decks instead of resolving execution risk. The work that creates value is the work no one has time for.
Manual RAID logs and weekly status calls catch issues after they've already moved scope, cost or go-live dates.
Executives see 200 projects as 200 status fields — not as one connected portfolio with dependencies, capacity limits and capital at risk.
AI-POS does not replace Jira, MS Project, SAP or Excel. It sits on top of them — unifying signals, predicting outcomes, and recommending the next decision to your PMO and executive team.
Each module is built for enterprise scale — multi-tenant, SSO-ready, with auditable model outputs and human override at every recommendation.
Predicts delivery slippage, budget overrun and scope drift 6–9 weeks ahead using cross-system execution signals.
Continuously rebalances scope, sequencing and investment across the portfolio to maximize NPV and strategic fit.
Generates one-page board and steering-committee briefings automatically — no slide assembly, no status chase.
Detects allocation conflicts, vendor over-commitment and skill bottlenecks before they hit the critical path.
Tells executives what to decide, with the trade-offs, dependencies and revenue impact already quantified.
Maps cross-program dependencies and shows the cascade impact of every delay, change or reallocation.
A closed loop between your systems of record and your executive decision cadence.
Connect Jira, MS Project, SAP, Excel, Teams and Outlook in days. No rip-and-replace, no new PM process.
Models score risk, dependencies, capacity and value across every project, every week, continuously.
AI proposes reallocations, sequencing changes and escalations with quantified trade-offs.
PMO and executives approve, override or simulate alternatives — with full audit trail.
Customers measure AI-POS by velocity of decisions and execution outcomes — not by feature adoption.
Decision packages are pre-assembled with trade-offs and impact already computed.
Predictive models surface slippage long before status turns red.
PMOs stop building decks. AI generates briefings, status and board narratives.
Continuous optimization improves on-time, on-scope and on-budget delivery.
We deploy AI-POS against a slice of your real portfolio, connect to your real systems, and deliver a quantified ROI report you can take to the board.
Illustrative customer outcomes from regulated, multi-program enterprises.
"AI-POS flagged a tooling delay nine weeks before our program board would have. We protected a $14M launch window and re-sequenced two adjacent programs without overtime."
"Our COO went from a 60-slide steering deck to a one-page AI-POS briefing. Decision cycle time on portfolio escalations dropped from 11 days to 3."
"Resource Intelligence caught a vendor over-commitment our PMO had been arguing about for months. The recommendation saved a quarter of rework on the 5G core program."
Jira is a system of record for tasks. AI-POS is a decision layer over Jira and your other systems. It does not replace what your project managers do — it tells your executives what to decide based on what every system already knows.
Dashboards show you the past. AI-POS predicts the next 6–9 weeks of execution risk and recommends specific decisions: reallocate this team, defer that release, escalate this dependency. It is the layer above your dashboards, not another one.
No. AI-POS removes the reporting work that consumes PMs and PMOs — status assembly, escalation prep, board decks. It gives your people back the time to actually resolve risk and lead delivery. Every recommendation is auditable and human-approved.
First production insight in under 30 days. A full pilot in 4–6 weeks. Enterprise rollout is staged by business unit, with SSO, multi-tenant isolation and SOC 2-aligned controls from day one.
Start with one program. Prove the ROI in 4–6 weeks. Roll out across the enterprise on the back of an executive ROI report — not a vendor pitch.