AI-assisted decision making for critical operations.
We combine your operational data with AI, forecasting, simulation and optimisation so your people can understand what is happening, see what comes next, weigh the trade-offs and make better decisions.
Mining. Manufacturing. Logistics. Agriculture. Supply chain. Utilities.
Throughout your business are key operational decisions made everyday with a lot of uncertainty. Often the necessary data exists in another system or spreadsheet, or is too complex to consider given the time. We work with your team to model the data, quantify the options and tradeoffs, and give you a system that optimises that decision.
From evidence to action
A complete decision loop.
Systems expand what you can see and compare. Accountable humans decide. Approved actions and measured outcomes close the loop.
- 01
Perceive
Bring operational signals together with their source and freshness.
- 02
Understand
Explain drivers, definitions and the context behind a change.
- 03
Forecast
Estimate what is likely next, with confidence ranges.
- 04
Simulate
Compare scenarios, assumptions and second-order effects.
- 05
Optimise
Compare feasible options against costs, constraints and objectives.
- 06 / HUMAN DECISION
Decide
The accountable human weighs the trade-offs and records their rationale.
- 07
Act
Route the approved action to the people and systems responsible.
- 08
Learn
Compare outcomes with expectations and review what should change.
Operational decisions
Types of decisions we've improved.
Assets & Maintenance
Repair, replace or defer? Compare downtime, maintenance cost and asset life.
Explore decision support →Demand & Inventory
How much should we hold? Weigh service levels, stockout risk and working capital.
Explore decision support →Production & Capacity
Where should capacity go? Compare demand scenarios, bottlenecks and resource constraints.
Explore decision support →Supply Chain & Procurement
Which exception needs intervention? Assess lead times, alternatives and downstream effects.
Explore decision support →Pricing & Margin
Which price protects margin? Compare volume, cost and customer response.
Explore decision support →Capital & Investment
Where should the next dollar go? Compare options, cashflow and downside scenarios.
Explore decision support →Customers & Commercial
Where should people focus? Prioritise opportunities using evidence and commercial judgement.
Explore decision support →See the decision, compare two or three credible options, record rationale and approval, then measure the result.
Confidence bands, model drivers and auditable human overrides put uncertainty inside the planning process.
Capabilities
The methods behind the decision.
What is likely to happen?
What is likely to happen? Forecast ranges make uncertainty part of the plan.
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What changed for them.
“The prediction engine has fundamentally changed how we operate our business.”
- Decision before
- Spreadsheet analytics were used to prioritise sales targets.
- Intelligence added
- A prediction engine identified leads most likely to convert.
- Decision after
- Human effort was reallocated to those leads, with managers freed to train their teams.
Reported outcomes
- Human effort re-allocated to leads most likely to convert — 40% YoY revenue increase
- Staff morale boost from a more effective, less grinding sales process
- 95% reduction in time spent on spreadsheet analytics to prioritise targets
- Managers freed up to train their teams more deeply
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Questions about AI-assisted decisions
What is AI-assisted decision making?
It combines operational evidence, AI and quantitative models to help people compare options and consequences. Accountable humans decide; systems can then route approved actions and record outcomes.
What does critical operations mean?
Operations where a poor decision carries a material cost: mining, manufacturing, logistics, agriculture, supply chain and utilities. It describes the consequence of a decision, not a legal critical-infrastructure classification.
How do forecasting, simulation and optimisation differ?
Forecasting estimates what is likely to happen. Simulation explores what could happen under different assumptions. Optimisation compares feasible options against defined objectives and constraints. All depend on assumptions and should expose uncertainty.
What is decision intelligence?
Decision intelligence connects data, models, decision processes and feedback. Beyond Data applies these ideas through AI-assisted decision making for critical operations, with human accountability and traceable evidence.
Start with one consequential decision.
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