Decision Engines
Turn business rules, constraints and priorities into consistent decision logic that can be executed and verified.
DECISION & OPTIMISATION SYSTEMS
Software for decisions with too many variables for manual work.
Some operational and commercial decisions depend on many variables, constraints, priorities and scenarios. Link2Leap designs software that makes this logic explicit, repeatable and usable in the process as it actually runs.
When this becomes relevant
When an important decision can no longer rely on manual work
It starts with a recurring decision whose quality, speed or transparency is under pressure. An algorithm comes later, if at all.
- 01
Teams use spreadsheets, manual calculations or individual expertise for recurring important decisions.
- 02
The same decision must be made repeatedly while inputs, conditions or available options change.
- 03
Multiple constraints and priorities compete, making an apparently simple choice complex.
- 04
Scenarios must be compared before committing capacity, inventory, timing, resources or capital.
- 05
Existing operational software contains the data but not the decision logic the process requires.
What we build
Executable logic for decisions, scenarios and constraints
The form follows the decision. Sometimes explicit rules and comparisons are enough; sometimes focused optimisation is needed to weigh choices properly.
Optimisation Models
Find or compare better choices when many variables and constraints interact, using mathematical optimisation where the problem warrants it.
Scenario & Planning Systems
Make the consequences of different assumptions, timings or allocations visible before the organisation acts.
Embedded Decision Logic
Bring decision logic into existing applications and workflows so it becomes part of daily operations.
From judgement to explicit logic
Make visible how a decision is reached
We make repeatable logic explicit, so people can understand, test and use it deliberately.
Human judgement remains where context, exceptions or risk require it.
- 01
Expert judgement
Capture the knowledge and trade-offs currently held mainly in people’s heads or manual work.
- 02
Rules & variables
Make inputs, exceptions and decision rules explicit.
- 03
Constraints & priorities
Model limits, preferences and competing objectives.
- 04
Scenario evaluation
Compare possible outcomes under different assumptions.
- 05
Decision output
Provide a recommendation, selection or executable decision with traceable logic.
- 06
Workflow integration
Connect the outcome to the process, systems and people who work with it.
How we work
From decision to validated software logic
We model only what the decision requires and test outcomes against domain knowledge and how the process runs in practice.
- 01
Define the decision
What is being decided, by whom, how often and why does the decision matter?
- 02
Variables & constraints
Which inputs, rules, limits, exceptions and priorities determine the choice?
- 03
Model
We encode the logic, scenarios and any objectives in a testable model.
- 04
Validate
We compare outcomes with reality, historical situations and the knowledge of relevant experts.
- 05
Integrate
We connect the model to source systems, interfaces and the operational workflow.
- 06
Improve
We adjust logic and assumptions in a controlled way as conditions or insights change.
Technical depth
What must work beneath a reliable decision system
A useful outcome needs more than a calculation. Data, logic, integration and testability must be designed as one system.
- Business logic
- Capture rules, exceptions and decision behaviour explicitly and maintainably.
- Constraints & priorities
- Model limits, preferences and conflicting objectives in a verifiable way.
- Scenario modelling
- Compare assumptions and alternatives systematically without presenting outcomes as certainty.
- Algorithms & optimisation
- Apply suitable algorithms when simpler logic is insufficient, without making optimisation an end in itself.
- Data modelling
- Structure inputs and outputs around their meaning in the decision process.
- Integrations & APIs
- Connect reliably to the systems that supply data and execute actions.
- Testability & traceability
- Test important behaviour reproducibly and show which logic led to an outcome.
Where this can create value
Decision problems that may call for explicit logic
The same technical principles can be relevant across different processes. The exact approach always depends on the decision, the available data and the surrounding process.
Examples of problem types, not client claims
- Planning & allocation
- Inventory & purchasing
- Capacity & scheduling
- Pricing & commercial rules
- Routing & sequencing
- Resource or capital allocation
- Exception prioritisation
Within Link2Leap
A Software Engineering proposition centred on the decision itself
Decision & Optimisation Systems sits within Software Engineering. If the decision depends on existing systems, modernisation, integrations or technical assessment, Link2Leap can connect those disciplines around the same problem, without adding more technology than necessary.
Explore Software EngineeringWhere we are less likely to fit
Not every choice needs a decision system
We are usually not the best fit when:
- The decision is simple and a standard rule in ERP or reporting software already supports it adequately.
- A black-box ‘AI answer’ is wanted without explicit objectives, rules or constraints.
- Required inputs are missing or unreliable and there is no practical route to improve that foundation.
- The primary need is a dashboard or report rather than executable decision logic.
A decision process too important for spreadsheets and manual work?
Tell us which decision is being made, which variables and constraints matter and which systems the process depends on. We can assess whether explicit decision logic, scenario software or optimisation is the right route.
Discuss the decision you want to support