AI Operating Platform for Pricing
Your Digital Pricing Companion
Fully scale agentic AI in pricing.
Automate pricing processes and workflows.
Build the connected foundation that makes it possible.
Pricedentity brings together decision-relevant information, pricing and decision logic, organisational knowledge and governance—creating the connected operating foundation for automated workflows, AI-supported decisions and agentic AI in pricing.
Pricing still operates across disconnected information, logic and processes.
Fragmented Information
Pricing-relevant information is spread across people, documents, systems and markets. It is not systematically captured, structured or connected with pricing decisions. As a result, relevant context is often incomplete or difficult to access when decisions need to be made.
Implicit & Disconnected Pricing Logic
Pricing models, decision parameters, policies and exceptions are complex and evolve across markets and commercial situations. Their underlying logic and relationships often remain implicit or insufficiently connected.
Poorly Documented Processes
Pricing execution depends on complex workflows, manual coordination, handovers and activities outside standard systems. Responsibilities, exception handling and automation opportunities often remain insufficiently transparent.
Information, pricing logic and processes are interdependent—but rarely connected in a way that consistently supports decisions, automated workflows and AI-enabled execution.
Individual automation and AI use cases are relatively easy to develop. The challenge is scaling them across pricing. Pricedentity starts with concrete use cases and builds the connected information, logic, knowledge and workflows needed to scale from there.
Core Platform Capabilities
Pricedentity builds and continuously strengthens the connected foundation through real pricing use cases—making information, decision logic, organisational knowledge and workflows reusable across people, automation and AI.
Pricing Transparency & Assessment
Map pricing structures, processes and decisions. Identify complexity, gaps, risks and improvement priorities.
Understand pricing maturity and improvement priorities
Pricing Architecture, Models & Governance
Structure and connect pricing models, price components, decision rules, responsibilities, policies and governance.
Create explicit pricing logic and guardrails
Information & Decision Architecture
Define what information each pricing parameter and decision needs, where it comes from and how it connects with pricing logic.
Define what every pricing decision needs to know
Pricing Knowledge & Organisational Memory
Capture and connect knowledge from people, documents, systems and previous decisions.
Make organisational expertise accessible to people and AI
Process Improvement & Automation
Make actual pricing workflows transparent, identify manual activities and redesign execution for people, automation and AI.
Turn manual workflows into connected, automatable execution
Start with one use case. Scale from there.
Pricedentity starts with a concrete pricing challenge where automation or AI can create value. As the use case is implemented, the required information, pricing logic, organisational knowledge, workflows and governance become part of a shared foundation that can be reused and extended across further applications.
Start with a Use Case
Solve a concrete pricing challenge with measurable decision or operational impact.
Build & Reuse the Foundation
Connect the information, decision logic, knowledge, workflows and governance required for the use case—and make them reusable for the next.
Scale Across Pricing
Extend connected decision support, workflow automation and AI agents across further pricing use cases on the same shared foundation.
Every use case delivers value while extending the shared foundation for the next.
As the foundation grows, increasingly connected automation and agentic execution become possible across pricing.
Start with the challenge that matters today.
Start with the pricing challenge that matters today. Pricedentity solves it while building a connected foundation that can be reused and extended across further pricing use cases.
How can we harmonise global and local pricing while still reflecting different market realities?
Global pricing logic, local market conditions and country-specific exceptions are connected in one structure—so local teams keep the freedom they need while global guardrails, decision rights and reasoning stay transparent.
How can we make our experts' pricing knowledge accessible and reusable across the organisation?
Pricing expertise that remains implicit or distributed across people, spreadsheets and past projects is captured as connected organisational knowledge and made available where pricing decisions are taken.
How can we make deal and exception decisions faster and more consistent?
Decision rules, approval logic, guardrails and comparable previous cases are connected, so deal and exception decisions are supported with context instead of ad-hoc escalation.
How can we move from an Excel-heavy price adjustment process to differentiated recommendations and structured execution?
Adjustment logic, relevant information and execution steps are made explicit—enabling differentiated recommendations, structured review and traceable implementation.
How do we translate how pricing actually works into our new ERP, CPQ or pricing environment?
Pricing structures, information requirements, decision logic and processes become a documented foundation that can be translated directly into system requirements and configuration.
How can we systematically use customer reactions, sales feedback and competitive signals in our pricing decisions?
Feedback from customers, sales and markets is captured, structured and connected with pricing logic, so signals become an input to decisions rather than anecdotes.
How can we bring all relevant information, pricing logic and previous experience together when a pricing decision is made?
Information, logic, knowledge and previous outcomes are brought together in the moment of decision—improving quality, speed and consistency.
How do we turn promising AI opportunities into practical, connected pricing applications?
Pricing organisations see opportunities for AI across information capture, analysis, decision support, workflow automation and agentic execution. Yet individual initiatives risk being developed in isolation. Pricedentity connects them through shared information, pricing logic, organisational knowledge and governance—creating the foundation to scale agentic AI across pricing.
Each use case delivers value while extending the connected foundation for further pricing applications, automation and AI.
Technology supported by people.
Expert guidance combines experienced pricing judgement with the same connected information, knowledge and decision logic used by the platform—bringing human expertise and AI-supported execution onto one foundation.
Flexible engagement models
Start with the challenge you have today. Build the foundation through execution. Extend it as your pricing and AI ambitions grow.
Pricing Initiative Companion
Start with a concrete pricing use case and build the relevant foundation through execution.
- Pricing assessments
- Pricing architecture & models
- Information & decision architecture
- Process improvement & automation
- Technology implementation
- Connected AI application development
Transformation Companion
Connect multiple pricing initiatives on one shared foundation and reuse information, logic, knowledge and governance across them.
- Connect pricing initiatives
- Capture pricing & decision logic
- Build organisational knowledge
- Support decisions & execution
- Track improvement & learning
Pricing Operating Platform
Continuously extend connected decision support, workflow automation and agentic AI across pricing.
- Connected pricing intelligence
- Organisational knowledge
- Decision support
- AI Companion
- Process & workflow support
- Continuous improvement & learning
Give your organisation more time for pricing.
Reduce manual operational work.
Connect fragmented pricing information.
Make pricing & decision logic explicit.
Turn organisational knowledge into decision support.
Start with a concrete use case.
Build and reuse the connected foundation.
Automate pricing processes and workflows.
Fully scale agentic AI in pricing.
Start with value. Scale from there.