Decisions applied consistently, at scale.
Decision Engine and Business Logic
Automate complex decisions with accuracy, consistency, and control.
The Decision Engine embeds structured business logic directly into workflows so every automated action follows the right rules, policies, and thresholds. Decisions are applied consistently, evaluated against context, and recorded for transparency, allowing organisations to scale automation without losing oversight or accountability.
By combining rule based logic with AI assisted insight, the Decision Engine ensures outcomes remain compliant, explainable, and aligned with organisational objectives even as process complexity grows.
By combining rule based logic with AI assisted insight, the Decision Engine ensures outcomes remain compliant, explainable, and aligned with organisational objectives even as process complexity grows.
Who it is for?
The Decision Engine supports organisations where outcomes depend on consistent application of rules, policies, or judgement across high volume processes. It enables teams to embed decision logic directly into workflows while maintaining transparency and control.
Operations teams
Apply consistent decision criteria across operational processes, reducing reliance on individual interpretation and improving outcome reliability.
Risk and compliance functions
Ensure policies, thresholds, and regulatory requirements are enforced automatically within workflows, supporting governance and oversight.
Finance teams
Automate approval decisions, exception handling, and policy checks across financial processes while maintaining traceability.
Customer operations
Support consistent decisions in onboarding, servicing, and case handling scenarios where outcomes must reflect defined rules and context.
IT and automation teams
Embed decision logic within orchestrated workflows so automated processes can evaluate conditions and respond appropriately.
Decision critical processes
Where outcomes impact risk, compliance, cost, or customer experience, the Decision Engine provides structured logic to support confident automation.
Key Benefits
Apply rules consistently
Decisions without variation.
Rule based decisioning
The Decision Engine applies defined business rules and policies automatically, ensuring outcomes remain consistent regardless of volume or complexity.
Support compliance
Policies enforced automatically.
Governance aligned decisions
Regulatory requirements, internal policies, and risk thresholds can be encoded into decision logic, supporting consistent compliance across processes.
Context aware outcomes
Decisions that reflect reality.
Context driven evaluation
Inputs, conditions, and supporting data are considered during decision execution so outcomes reflect situational context rather than static logic alone.
Explainable outcomes
Understand why decisions occur.
Decision transparency
Each decision can be traced to the rules, data, and conditions that influenced it, helping teams evidence outcomes and investigate exceptions.
Reduce manual judgement
Less interpretation needed.
Automated decision logic
By embedding decision criteria within workflows, organisations reduce dependency on individual interpretation while maintaining controlled outcomes.
Adapt logic easily
Change without disruption.
Flexible rule management
Decision logic can be updated as policies or business requirements evolve, allowing organisations to refine outcomes without rebuilding workflows.
What does it do
The Decision Engine evaluates conditions, applies business rules, and determines outcomes within automated workflows. Rather than relying on manual judgement or scattered logic across systems, decision criteria are centralised and executed consistently wherever they are required.
Inputs such as data values, thresholds, policy rules, and contextual information are assessed during workflow execution to determine the appropriate path, action, or response. This enables processes to handle complexity, manage exceptions, and adapt behaviour based on defined logic without interrupting operational flow.
By embedding decision capability directly into automation, the Decision Engine helps organisations move from process execution alone to intelligent process outcomes. Decisions become repeatable, visible, and aligned with organisational policy, supporting confident automation across high impact scenarios.
Inputs such as data values, thresholds, policy rules, and contextual information are assessed during workflow execution to determine the appropriate path, action, or response. This enables processes to handle complexity, manage exceptions, and adapt behaviour based on defined logic without interrupting operational flow.
By embedding decision capability directly into automation, the Decision Engine helps organisations move from process execution alone to intelligent process outcomes. Decisions become repeatable, visible, and aligned with organisational policy, supporting confident automation across high impact scenarios.
Core Features
How it works
The Decision Engine provides the tools needed to define, execute, and manage decision logic within automated workflows, enabling organisations to apply structured judgement while maintaining visibility and control.
Rule definition and management
Create and maintain business rules, thresholds, and policy logic that can be applied consistently across workflows and decision scenarios.
Conditional workflow routing
Direct workflows dynamically based on evaluated conditions, ensuring processes follow the appropriate path according to inputs and context.
Policy and compliance enforcement
Embed regulatory requirements and internal policy checks directly into decision logic so workflows operate within defined governance boundaries.
Decision traceability
Record decision inputs, rules applied, and resulting outcomes, providing transparency that supports review, investigation, and audit readiness.
Embedding decision logic directly into workflows allowed us to automate complex scenarios without losing control or visibility.
Dawson James -
Why ELIE Composer matters
As organisations automate processes, the quality of outcomes increasingly depends on how decisions are made within those workflows. When decision criteria are informal, distributed across systems, or reliant on individual interpretation, inconsistency and risk can emerge even within otherwise efficient processes.
Complex environments often require decisions that reflect policy rules, contextual information, and organisational thresholds. Managing this manually or through fragmented logic can create variability, limit transparency, and make it difficult to demonstrate how outcomes were reached.
The Decision Engine addresses this by providing a structured approach to decision making within automation. Rules are defined centrally, evaluated consistently, and applied in context as workflows execute. This enables organisations to scale automation while maintaining confidence that outcomes remain aligned with policy, explainable when reviewed, and adaptable as requirements evolve.
Complex environments often require decisions that reflect policy rules, contextual information, and organisational thresholds. Managing this manually or through fragmented logic can create variability, limit transparency, and make it difficult to demonstrate how outcomes were reached.
The Decision Engine addresses this by providing a structured approach to decision making within automation. Rules are defined centrally, evaluated consistently, and applied in context as workflows execute. This enables organisations to scale automation while maintaining confidence that outcomes remain aligned with policy, explainable when reviewed, and adaptable as requirements evolve.