Plan Fast. Deliver Confidently.
Build a portfolio your organization can actually deliver.
PDWare connects strategic priorities, budgets, skills, and real capacity — so leaders can decide what to fund, delay, or stop before commitments become delivery failures.
Funded work
Unfunded work
Move the waterline or click a project — trade-offs update live.
Most portfolios are approved before anyone proves they can be staffed.
Strategies fail when project demand, skilled-resource availability, budgets, and delivery timelines are planned in separate systems. PDWare puts those constraints into the same decision model.
Too many “priority one” projects
Without a shared constraint, every initiative appears essential and the portfolio becomes a wish list.
Capacity is assumed, not measured
Leadership sees projects and budgets, but not the people and skills already committed elsewhere.
Conflicts surface too late
Overloads become visible during delivery, when trade-offs are expensive and deadlines are already exposed.
Plans are approved without feasibility
Task plans and roadmaps cannot compensate for a portfolio that exceeds the organization’s real capacity.
What customers report after deploying PDWare
“I considered 3 other solutions during a month of demos and trials and I'm not regretting the decision. Simplicity of the tool is refreshing and a key in quick tool adoption across thousands of users.”
“The value adding reporting, which allows Senior Management to make informed decisions.”
“The ability to morph the software into whatever you need or want. Very flexible and powerful.”
Full case studies (challenge, implementation period, quantified outcomes) are being prepared with customer approval.
The idea
Capacity draws the line. The line decides what is funded.
See what the organization can fund —
and what it can actually deliver.
Demand meets real capacity, scenarios expose the trade-offs, and the Waterline decides what is funded. The figures below are an illustrative example portfolio.
Demand
Every initiative in one structured view — programs, investment, staffing need, and priority — imported from Excel, Jira, or Microsoft Project, or entered directly.
How demand capture works →| Program | Priority | Investment | FTE ask | Requested skills |
|---|---|---|---|---|
| Atlas Program | P1 | $24.4M | 14 | AI/MLCloud |
| Falcon AI Initiative | P1 | $18.6M | 9 | AI/MLData eng |
| Quartz Platform | P2 | $15.2M | 8 | CloudSecurity |
| Delta Modernization | P2 | $14.1M | 12 | Data engCloud |
| Summit Migration | P3 | $7.6M | 5 | Cloud |
| Helix Core | P3 | $8.7M | 5 | SecurityData eng |
Capacity
Demand is tested against the people and skills that actually exist — by team and over time — so overloads and gaps surface before commitments are made.
Explore resource capacity planning →Scenarios
Alternative futures against one constraint set. Switch scenarios — the funded portfolio, shortfall, utilization, and investment recalculate in real time.
Explore scenario planning →In the balanced example scenario, 13 of 20 proposed projects are funded at $156.9M investment, with no staffing shortfall and 98% capacity utilization.
Feasible Portfolio
The output: a portfolio the organization can actually deliver — prioritized, staffed, and defensible in front of any review board.
See the Waterline method →One connected decision system, from demand to delivery.
Capacity, priorities, scenarios, and financials stay in one model — so the funded portfolio remains achievable as conditions change.
Explore the platform →Deep where portfolio decisions are made.
Flexible everywhere else.
Resource capacity planning
Skill demand + real availabilityShortfall & utilization analysisFeasible capacity planPrioritized skill demand against real capacity — shortfall, utilization, and heatmaps across portfolios, teams, and time.
See capacity planning in action →Resource management
Assignments + requestsTop-down vs bottom-up reconcileOne live resource forecastAssignments, requests, and forecasts in grid-style views; top-down plans reconcile with bottom-up reality every planning period.
Explore resource management →Portfolio prioritization
Ranked demand + capacityWaterline evaluationFunded / deferred portfolioThe Waterline funds what clears the line and defers what doesn’t — objective, data-backed, defensible.
Explore portfolio prioritization →Scenario and what-if planning
Alternative portfoliosOne constraint setSide-by-side trade-offsCompare alternative portfolios against the same constraint set before committing headcount or budget.
Explore scenario and what-if planning →Financial visibility
Rates + cost centersCost of capacity & chargebackLive portfolio cost pictureCost of capacity, demand and unused capacity, cost centers and chargeback, Waterline budget planning.
Explore financial visibility →Agile and traditional planning
Teams by % + individual assignmentsCombined demand modelOne forecast, agile + traditionalTeams allocated by percentage, people by assignment — one combined forecast across agile and non-agile work.
Explore agile and traditional planning →Open system with a secure API — typical integrations:
Bring governed portfolio data into the AI systems
your organization already uses.
PDWare MCP gives approved AI systems controlled access to portfolio and resource data through existing PDWare permissions, use rights, and business rules — without requiring a separate PDWare-hosted model.
Connect an approved AI environment
Configure an approved enterprise assistant, internal agent, or analytics workflow to access the PDWare MCP endpoint.
Apply PDWare governance
Requests are evaluated through PDWare permissions, use rights, and configured business rules.
Query and analyze portfolio data
Use natural-language workflows for reporting, analysis, capacity questions, and approved integrations.
You can ask Petey on this site today. Inside ResourceFirst, the PDWare AI Assistant — also Petey — arrives with Release 9.5 in December 2026, alongside Workflow, improved Task Management, and Scenario Optimization.
Built for resource-constrained R&D
Pharmaceutical and life sciences
Balance discovery, clinical, regulatory, and sustaining programs against scarce scientific and specialist capacity.
For: portfolio leaders, R&D operations, finance, and therapeutic-area leadership.
Model your industry constraints →Medical devices
Allocate shared, certified engineering pools across sustaining work and new-product programs without silent overcommitment.
For: PMO directors, engineering leadership, and program managers in regulated development.
Model your industry constraints →Manufacturing and hi-tech
Plan across plants, platforms, and product lines where every program competes for the same engineering bandwidth.
For: operations leadership, engineering VPs, and portfolio planners.
Model your industry constraints →See how your current portfolio fits real capacity.
Bring your own planning questions and we will model them against your real capacity in a tailored session.
Most organizations can complete a level-1 implementation in 4–6 weeks.