Skip to content

Platform category

Platform

A structured view of the foundation, runtime, data, security and agentic execution layers.

View pricingTalk to sales
Team discussing an operating model workflow on a shared screen.
Category pages should help people choose a direction.These pages now behave like curated hubs instead of single product feature pages.

Explore this area

Choose the page that matches your problem

Use this hub to move into specific capabilities, use cases, services or implementation paths.

Accounting Hub

Explore Accounting Hub within the Platform area.

Open

API Services

Explore API Services within the Platform area.

Open

App Builder

Explore App Builder within the Platform area.

Open

BI Builder

Explore BI Builder within the Platform area.

Open

Cybersecurity

Explore Cybersecurity within the Platform area.

Open

Cybersecurity Platform

Explore Cybersecurity Platform within the Platform area.

Open

Data Resilience Recovery

Explore Data Resilience Recovery within the Platform area.

Open

Dataservices

Explore Dataservices within the Platform area.

Open

Developers

Explore Developers within the Platform area.

Open

Development Acceleration

Explore Development Acceleration within the Platform area.

Open

Document Management

Explore Document Management within the Platform area.

Open

Foundation

Explore Foundation within the Platform area.

Open
Enterprise architects and product leaders reviewing a platform architecture together.
The structure matters because buyers need routes, not generic claims.A strong hub clarifies what belongs together, why it matters and which page to open next.

How to use this hub

Start with the operating problem, then select the capability

Advanze category pages are designed to connect business outcomes, platform foundations, product capabilities and pricing routes without forcing visitors through disconnected product descriptions.

Agentic use case

Where Platform becomes governed execution.

Teams want to use AI more widely.

What makes it harder in the real world: The cost of enterprise AI is not only token price. It includes context packaging, orchestration, approvals, safety layers, retries, evaluations, auditability and operations support.

What Advanze changes: Control AI execution by routing tasks to the right model, setting run budgets, applying permissions, stopping loops and reporting usage by use case.

Router AgentSelects the smallest capable model or workflow path for the task.
Budget AgentTracks per-run and monthly use-case budgets.
Evaluation AgentChecks output quality, policy fit and repeated failure patterns.
Runtime Control AgentStops loops, retries safely and escalates when budget or quality thresholds are breached.
OwnerReviews value, adoption, cost and exceptions.
Challenge

The cost of enterprise AI is not only token price. It includes context packaging, orchestration, approvals, safety layers, retries, evaluations, auditability and operations support.

Orchestration

Control AI execution by routing tasks to the right model, setting run budgets, applying permissions, stopping loops and reporting usage by use case.

Success

Control AI execution by routing tasks to the right model, setting run budgets, applying permissions, stopping loops and reporting usage by use case.

Related execution patterns

Complex products usually touch more than one governed workflow.

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
GRC, Security, Operations

Incident Response with Governed Escalation
Coordinate incident intake, severity classification, evidence collection, stakeholder notification, escalation and remediation tasks through governed agentic workflow.

Explore pattern
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
Platform and governance team reviewing AI execution, controls and architecture.
AI runtime control 28Platform, architecture and governance teams controlling agentic execution, cost and operational risk.
Platform and governance team reviewing AI execution, controls and architecture.
AI runtime control 29Platform, architecture and governance teams controlling agentic execution, cost and operational risk.
Platform and governance team reviewing AI execution, controls and architecture.
AI runtime control 30Platform, architecture and governance teams controlling agentic execution, cost and operational risk.

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.

  • The cost of enterprise AI is not only token price. It includes context packaging, orchestration, approvals, safety layers, retries, evaluations, auditability and operations support.
  • 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