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Product Suite

Product Information

Specialist capability. Shared platform. Agentic execution.

Product Information runs as part of the Advanze Execution Platform, so the application is not isolated software. It shares the same data foundation, workflow engine, security model and agentic AI fabric as the rest of the enterprise suite. Teams get the specialist capability they need without creating another silo.

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Business team reviewing supplier, procurement and risk information.
Product Information starts with people trying to make the right call. A product master change needs attributes, taxonomy, digital assets, channel rules, quality checks and approval evidence before publishing.

Product Suite / Product Information

From application to execution capability

Advanze is positioned around the idea that enterprise software must evolve from passive systems of record into active systems of execution. In that model, this page is not just a feature description. It explains how Product Information contributes to an operating environment where people define intent, agents execute governed work, and leadership can see progress through unified data.

The value is strongest when the capability is connected to adjacent processes. Records, workflows, controls, communications and analytics should not live in separate tools. They should participate in a shared execution fabric that can coordinate work across departments while preserving human accountability.

Business team reviewing supplier, procurement and risk information.
Where Product Information becomes real work people can trust. Cross-functional supplier, procurement and financial review before work becomes a commitment.

Core capabilities

What Product Information enables

Each capability is designed to work as part of the broader execution platform rather than as a disconnected module.

Supplier Visibility

Use supplier visibility as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.

Inventory Events

Use inventory events as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.

Procurement Workflows

Use procurement workflows as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.

Risk Alerts

Use risk alerts as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.

Planning Data

Use planning data as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.

Operations Insights

Use operations insights as part of one operating model, with shared data, governed workflows, auditable actions and AI agents that can execute work while people stay in control.

The Advanze Control Model - AI Agents Execute Work Inside the Control Model

Agentic operating model

AI agents execute work inside the control model

Advanze treats AI agents as participants in the operating model. Agents can read context, call services, update records, trigger workflows, prepare decisions and escalate exceptions. Human teams remain responsible for judgement, governance and business accountability.

That distinction matters. The goal is not to add another chatbot to existing systems. The goal is to create an execution platform where work can move across functions with consistent permissions, policies, audit trails and data visibility.

Business outcomes

What becomes possible

Fewer silosShared data and workflows reduce duplicated effort.
Faster executionAgents can progress repeatable work across rules, approvals and systems.
Better visibilityLeaders see work, risk and performance in one operating context.
Lower platform sprawlSpecialised capability without another disconnected vendor.
Business team reviewing supplier, procurement and risk information.
The outcome is not just automation. It is confidence in what happens next. When Product Information runs inside a governed execution model, teams can move faster without losing judgement, accountability or trust.

Agentic use case

Where Product Information becomes governed execution.

A product master change needs attributes, taxonomy, digital assets, channel rules, quality checks and approval evidence before publishing.

What makes it harder in the real world: Procurement decisions often involve budget checks, vendor onboarding, sanctions or risk checks, contract terms, delegated authority, regional approval rules and finance controls.

What Advanze changes: Use agents to check purchase context, budget, supplier risk, contract terms and approval thresholds before procurement action is completed.

Procurement AgentClassifies request, validates required fields and identifies supplier or category rules.
Budget AgentChecks cost centre, budget availability and financial thresholds.
Supplier Risk AgentChecks supplier records, onboarding status, sanctions, performance and risk flags.
Contract AgentReviews terms, renewal obligations, payment clauses and policy exceptions.
Approval Orchestration AgentRoutes approvals according to amount, department, region and category.
Challenge

Procurement decisions often involve budget checks, vendor onboarding, sanctions or risk checks, contract terms, delegated authority, regional approval rules and finance controls.

Orchestration

Use agents to check purchase context, budget, supplier risk, contract terms and approval thresholds before procurement action is completed.

Success

Use agents to check purchase context, budget, supplier risk, contract terms and approval thresholds before procurement action is completed.

Related execution patterns

Complex products usually touch more than one governed workflow.

Finance, Accounting, Control

Finance Reconciliation and Exception Resolution
Use agents to gather statements, ledger extracts, rules and prior exceptions, then propose safe matches and route unresolved items for review without posting journals automatically.

Explore pattern
Legal, Procurement, Sales, Compliance

Contract Review and Obligation Routing
Review contracts for obligations, risks, pricing terms, renewal dates, data clauses and approval requirements before signature or operational handoff.

Explore pattern
DataServices, Data Governance, Operations

Data Quality Exception and Point-in-Time Recovery
Detect bad data, classify impact, identify the source, route approval and restore or correct records with auditable point-in-time recovery.

Explore pattern
Business team reviewing supplier, procurement and risk information.
Supplier risk 10Cross-functional supplier, procurement and financial review before work becomes a commitment.
Business team reviewing supplier, procurement and risk information.
Supplier risk 11Cross-functional supplier, procurement and financial review before work becomes a commitment.
Business team reviewing supplier, procurement and risk information.
Supplier risk 12Cross-functional supplier, procurement and financial review before work becomes a commitment.

Why AI execution needs architecture

The work needs context, controls and clear permissions before automation can safely act.

That is why the Advanze control model matters: identity, permissions, policies, workflow, audit evidence and human judgement are embedded into execution before agents act.

  • Procurement decisions often involve budget checks, vendor onboarding, sanctions or risk checks, contract terms, delegated authority, regional approval rules and finance controls.
  • The right agent must receive the right context, tools, permissions and approval path before work moves forward.
  • Audit evidence, exception handling and human judgement need to be part of the workflow, not notes added after the fact.
View related pricing Explore Multi-Agent Platform

Implementation path

How to move from concept to production

Advanze can be introduced progressively. The recommended path is to start with a visible workflow, prove the operating model, then expand into adjacent capabilities as the platform foundation matures.

  1. 1
    Assess the current operating model

    Map the workflows, systems, data sources and manual coordination points around this capability.

  2. 2
    Design the target execution flow

    Define the data model, human approvals, agent tasks, service calls and governance controls.

  3. 3
    Launch a focused implementation wave

    Start with a bounded use case that proves the operating pattern and creates reusable platform assets.

  4. 4
    Scale across the business

    Extend the pattern to adjacent workflows, more agents, more users and deeper integrations.

Next step

Build this into your execution platform roadmap

Explore how Product Information can be implemented as part of a broader Advanze platform adoption programme, from first pilot to enterprise scale.

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