Business knowledge remains fragmented
SOPs, policies and expert judgment describe how work should be done, but do not consistently reach operational systems.
Platform › Logic Controller
BUILD ENTERPRISE DECISION INTELLIGENCELogic Controller
Turn business knowledge into decisions your enterprise can act on.
Apply how your business operates, its processes, rules, constraints and priorities, to live enterprise context. Evaluate alternatives, recommend the most appropriate course of action and make the reasoning behind each recommendation traceable.
OpenKnowra Logic Controller
WHY LOGIC CONTROLLER MATTERS
Your business has decision logic. Your systems do not share it.
Critical decisions depend on policies, priorities, exceptions and judgments accumulated over years. Much of that knowledge remains scattered across documents, spreadsheets, applications and people. The same reasoning gets reconstructed whenever a decision must be made.
Rules get implemented repeatedly
Different applications and teams encode variations of the same business logic.
Decisions wait on interpretation
People assemble facts, compare alternatives, apply exceptions and decide what happens next.
AI recommendations lack business authority
A prediction or generated response may not reflect approved rules, operating constraints or decision limits.
Logic Controller makes business decision logic explicit, reusable and applicable to the situation the enterprise is facing now.
WHAT CHANGES FOR YOUR BUSINESS
From manual judgment to scalable, governed decisions.
When business logic is explicit and applied to live enterprise context, decisions can move faster, follow consistent rules and carry the evidence needed for execution and review.
Faster decisions
Reduce time spent gathering facts, interpreting policies and comparing alternatives.
Consistent decisioning
Apply approved business logic across applications, agents and teams instead of maintaining different versions.
Less specialist dependency
Capture decision knowledge from processes and policies so routine decisions do not repeatedly depend on individual experts.
Governed automation
Give downstream systems and agents recommendations that account for business rules, thresholds and constraints.
Decision accountability
Preserve the facts, applied logic, evidence and decision lineage behind recommendations.
MEASURE WHAT CHANGESDecision cycle timeManual interventionsCost per governed decision
From business processes to decisions, in four steps.
Turn operational knowledge into approved decision logic, apply it to live enterprise context and generate recommendations that systems, agents and people can use.
- 101 UNDERSTANDInterpret how your business worksUnderstand SOPs, business processes and policies to identify how decisions are made.
- 202 COMPOSEBuild governed decision logicPropose rules, constraints, thresholds, priorities and exceptions for business users to review and approve.
- 303 EVALUATEEvaluate the available optionsApply approved logic to live enterprise context and assess alternatives against business conditions.
- 404 RECOMMENDRecommend with evidenceRank the options and provide the facts, logic and decision lineage needed for downstream action.
Two capabilities that turn business knowledge into decision intelligence.
Enterprise Logic Composer defines how the business should decide. Recommendation and Decision Tuner applies that approved logic to determine what should be recommended in the current situation.
The shiftExperts and developers manually translate business processes into rules and code→Business logic proposed from existing knowledge, then reviewed, governed and reused
REASON
Enterprise Logic Composer
Your business processes and policies become reusable decision logic.
Interpret SOPs, policies and process documentation to propose logic models containing business rules, constraints, thresholds, priorities and exceptions. Business users review and govern the logic before it is applied.
- Process IntelligenceUnderstand how decisions are described in SOPs, policies and operational procedures.
- Logic ModelingPropose reusable models containing rules, priorities, thresholds, constraints and exceptions.
- Business ReviewLet users refine, approve and govern logic before operational use.
The shiftA model score, prediction or isolated recommendation requiring further business interpretation→A contextual recommendation with approved logic, evidence and a traceable decision path
RECOMMEND
Recommendation and Decision Tuner
Go beyond predictions. Recommend what the business should do next.
Apply approved business logic to live enterprise context, evaluate available alternatives and deliver ranked recommendations supported by facts, constraints, policy and decision lineage.
- Contextual EvaluationEvaluate alternatives against current conditions, constraints and priorities.
- Decision RecommendationsRate, rank and recommend options using approved logic and relevant model signals.
- Decision LineageRetain supporting context, rules, evidence and reasoning behind each recommendation.
How the two capabilities work together
Enterprise Logic Composer
How should we decide?
Turns process knowledge into reviewed, approved decision logic.
Recommendation and Decision Tuner
What should we recommend now?
Applies approved logic to live enterprise context and ranks options with evidence.
Define the decision once. Apply it to the business situation as it changes.
WHAT YOU CAN BUILD
Build the decision intelligence your business needs.
Start with a business process, define how decisions should be made and make recommendations available to the applications, agents and people responsible for the next action.
Business logic models
Capture approved rules, priorities, thresholds and exceptions in reusable decision logic.
Ranked decision recommendations
Assess available options using live context and approved decision logic.
Decision APIs
Make contextual recommendations available to enterprise applications and connected agents.
Decision evidence and lineage
Preserve the logic, supporting facts and applicable constraints behind recommendations.
Continue to use existing applications and agents. Logic Controller provides decision intelligence they can consume through supported interfaces.
HOW IT FITS WITH YOUR STACK
More than business rules. More than AI recommendations.
Rules engines, predictive models, LLMs and workflow systems perform important jobs. Logic Controller connects approved decision logic with live enterprise context, so recommendations reflect the current business situation.
Existing approachWhat it does wellWhat Logic Controller adds
Business rules enginesExecute explicit rules deterministically.Adds live enterprise context, SOP-based logic proposals and contextual decision recommendations.
Predictive AI and ML modelsEstimate outcomes, probabilities and risks.Applies business rules, constraints and priorities to model outputs and other facts.
Generative AI and LLMsInterpret language, generate content and propose possibilities.Keeps approved business rules and controlled evaluation separate from probabilistic model output.
Decision-management platformsManage decision strategies, rules and decision execution.Adds reusable enterprise context and logic proposals derived from business-process knowledge.
Workflow and orchestration enginesCoordinate prescribed processes and activities.Recommends the course of action from current business context before downstream execution.
BI and analytics platformsAnalyze performance and provide insight.Evaluates what the business should do next under its approved rules and current conditions.
The distinction is the combination: live enterprise context, reviewed business logic, contextual recommendations and reusable decision outputs.
WHERE LOGIC CONTROLLER ADDS VALUE
Decisions that used to cross multiple systems and people.
From operational exceptions to commercial trade-offs, Logic Controller brings rules, current conditions and available alternatives together to recommend the next action.
Network maintenance decisions
Which asset should be serviced first when failures, customer impact, service obligations and technician availability compete?
Evaluate interventions using live network context, priorities, commitments and operating constraints.
Supplier selection and procurement
Which supplier should receive an order when the lowest quoted price is not the lowest total cost?
Evaluate suppliers using commercial terms, delivery reliability, contractual obligations, operating constraints and sourcing rules.
Enterprise IT incident resolution
Which recovery action is suitable given service dependencies, risk, maintenance windows and change policy?
Rank recovery options against current service context and approved change rules, with evidence and escalation needs attached.
Questions teams ask about Logic Controller
Talk to usWhy does my enterprise need Logic Controller?
Make decision knowledge reusable.
Business decisions depend on more than data or predictions. They require policies, priorities, constraints, exceptions and operating knowledge. Logic Controller makes that knowledge explicit and applies it to live context, so applications, agents and people receive recommendations backed by logic and evidence.
From enterprise understanding to governed action.
Build live enterprise context, translate business knowledge into decision recommendations, and carry approved actions into enterprise operations.
Context CompilerYour enterprise, continuously understood.Connect systems, combine enterprise data with industry understanding and maintain live context for applications, agents and decisions.Explore the Context Compiler →
Logic ControllerBusiness knowledge becomes decision intelligence.Model how your business decides, apply approved logic to live context and deliver recommendations with supporting evidence.You are here
Action BuilderGoverned decisions become enterprise action.Coordinate agents, digital workers, applications and people to execute decisions within enterprise policy and authority.Explore the Action Builder →