The Core Problem

Which combination of projects creates the most value?

Every project in your backlog earned its place. It clears a threshold, addresses a risk, or improves performance. The real question isn't "Is this a good project?" — it's "Is this the best portfolio we can build?".

The best individual projects don't always create the best portfolio. Production impacts, resource constraints and available campaign windows change the project value equation, requiring trade-offs that aren't visible when each project is evaluated in isolation.

The problem is scale. Even a modest backlog generates thousands of possible project combinations, far too many to evaluate manually with any confidence.

The real question isn't "Is this a good project?" — it's "Is this the best portfolio we can build?"

✓ Optimised Portfolio

+18% value score

Value score

2.84

Outage cost

$5M

Prod. loss

Quantified

P-12 Pump wet end replacementFund

P-08 Substation upgradeFund

P-17 Tailings pump overhaulFund

P-04 Bearing refurbishmentFund

P-21 Cyclone relineDefer

✓ Best combination found. Production loss quantified and within threshold.

⚠ Rank & Cut Approach

Value score

2.41

Outage cost

$7M

Prod. loss

Unmodelled

P-12 Pump wet end replacementFund

P-04 Bearing refurbishmentFund

P-21 Cyclone relineFund

P-08 Substation upgradeCut

P-17 Tailings pump overhaulCut

⚠ Production loss not modelled. High-value projects excluded on score alone.

Fig 01 — Same budget, same projects. Different portfolio decision.

PORTFOLIOf(x) uses mathematical algorithms to find the optimal combination of projects that delivers the greatest business value while respecting budget, shutdown, resource and production-loss constraints.

Our Difference

Production aware optimisation

PORTFOLIOf(x) models your production process to reveal the hidden cost of portfolio decisions: lost production. By quantifying downtime impacts and balancing them against value, budget, resource, and shutdown constraints, it identifies portfolios that maximise total business value, not just project scores.

What the model captures

Production Impact — production loss across the process flow
Utility constraints — how a power or water outage throttles every line it feeds
Buffer absorption — how tanks and stockpiles reduce effective downtime
Standby coverage — whether backup exists, and whether it's itself being maintained

Fig 02 — The asset process flow models project interactions for production downtime evaluation and project selection.

How It Works

Four steps from project backlog to defensible portfolio

Score projects

Assess each project against your value metrics e.g., financial return, safety, ESG and operational continuity. Weight against your strategic priorities to produce a single, comparable priority score.

Model the plant

Build a flow model that captures how assets combine to deliver production revenue: what's critical, where standby exists, how buffers absorb downtime, how utility failures propagate.

Optimise the portfolio

Evaluate hundreds of thousands of project combinations to find the highest-value solution within budget, shutdown, resource and production-loss limits. Don't rank, search.

Explore trade-offs

Review value vs budget, value vs production loss, and portfolio sensitivity to assumptions. Flag marginal projects, identify robust ones. Compare results to reach your preferred solution.

Deep dive: how it works →

Capabilities

What PORTFOLIOf(x) does

Portfolio optimisation

Find the best combination of projects based on your objectives and constraints.

Production-loss modelling

Quantify the production loss for every combination of projects.

AI business case reports

Generate board-ready executive summaries and justifications for every project decision, automatically.

Scenario analysis

Test alternative budgets, priorities and constraints in minutes, not weeks.

Sensitivity analysis

Evaluate how sensitive the results are to changes in criteria weightings and assumptions.

Governance workflow

Draft → Review → Submit → Approve → Execute, with full audit trail.

Decision Assurance

Every selection justified. Every deferral defended.

An objective narrative engine that proves the robustness of your portfolio choices with hard data evidence.

AI Powered Decision Assurance Layer

A detailed report on why each project was selected, deferred, or rejected, the portfolio robustness, and clear recommendations ready for submission, grounded strictly in your run's own numbers.

Example explanation

"Project Deferral Explanation: IOB-PROJ-069 Structural steel remediation was deferred due to two binding constraints: 1. Budget exhaustion: Only $465,000 remains of the $11M budget, but this project requires $540,000. 2. Fitter hours ceiling: The portfolio already uses 3,480 of 3,500 available hours; this project needs 320 more, exceeding capacity by 80 hours. The trade-off: Including this project would require dropping four lower-ranked bearing overhaul and cyclone reline projects (TOPSIS scores 0.202–0.313). Although those four projects total only $725,000 in spend versus the $540,000 needed, their combined portfolio value outweighs the single project's contribution. To enable this project, either increase the fitter hours ceiling (primary constraint) or reallocate budget by explicitly deferring those four lower-value projects."

Selection narrative

Binding constraints and trade-offs in plain language.

Sensitivity read-out

Monte Carlo confidence check, explained in words.

Run comparison

What changed between two scenarios, and why.

Bring your own model

Your provider, your API key, encrypted at rest.

Built on Model Context Protocol (MCP) Live portfolio access

Connect any MCP-compatible agent directly to your portfolio and interact with your project data and dive deep into your portfolio and solver decisions.

Who It's For

Built for decision makers and the teams who plan the work

Project Directors

■Mathematically-grounded recommendation
■Survives executive scrutiny
■Why each project was funded or deferred
■Portfolio shift under alternative budgets

Project Engineers

■Production loss quantified before commitment
■Outage interactions modelled across the plant
■Value vs production loss trade-off made visible
■AI powered shutdown scheduling decisions

Planners

■Bundle projects automatically
■Compare outage window scenarios in minutes
■Resource constraints respected portfolio-wide
■Reduced mobilisation cost and total downtime

Use Cases

Different assets. One optimiser. Better portfolios.

Whether you're evaluating projects for a process plant, a mobile fleet or a linear network, PORTFOLIOf(x) has the right model to find the highest-value portfolio within your budget.

Process Plants

Process plants are connected systems

In a process plant, every asset is part of a connected production chain. Taking one asset offline can affect everything downstream through process flow, utilities, standby equipment and shared dependencies.

How PORTFOLIOf(x) helps

PORTFOLIOf(x) models your plant as it actually operates. Production impacts are calculated from the real asset connections, so every project's value reflects the true cost of taking equipment offline.

Mobile Fleets

Fleets are shared production resources

Unlike fixed assets, vehicles operate as a shared pool. Removing several vehicles for maintenance does not always reduce production. The real constraint is often workshop capacity and how many major jobs can be completed at the same time.

How PORTFOLIOf(x) helps

PORTFOLIOf(x) models fleets against production targets and real workshop constraints. Maintenance schedules reflect what can actually be delivered while balancing production, labour and workshop capacity.

Linear Infrastructure

Linear assets have flexible operating windows

Roads, pipelines and rail corridors do not always need to be completely closed during maintenance. Sections can often remain partially operational, reducing production impact and creating more scheduling flexibility.

How PORTFOLIOf(x) helps

PORTFOLIOf(x) models linear infrastructure as connected segments, allowing projects to keep parts of the network operating where possible. The optimiser values partial closures accurately instead of assuming every project requires a full shutdown.

Maximise the value of your capital portfolio.

Which combination of projects creates the most value?

Production aware optimisation

Four steps from project backlog to defensible portfolio

Score projects

Model the plant

Optimise the portfolio

Explore trade-offs

What PORTFOLIOf(x) does

Portfolio optimisation

Production-loss modelling

AI business case reports

Scenario analysis

Sensitivity analysis

Governance workflow

Every selection justified. Every deferral defended.

Built for decision makers and the teams who plan the work

Different assets. One optimiser. Better portfolios.

Process plants are connected systems

How PORTFOLIOf(x) helps

Fleets are shared production resources

How PORTFOLIOf(x) helps

Linear assets have flexible operating windows

How PORTFOLIOf(x) helps

See it run on your portfolio.