Skip to content

Commercial Model

Cash Bank

A simpler way to plan adoption, consolidation and scale.

Cash Bank provides a commercial view of the Advanze platform. Pricing is designed to support consolidation, predictable adoption and a clearer relationship between platform investment and operating outcomes.

Finance and operations professionals reviewing data, controls and exceptions.
Cash Bank starts with people trying to make the right call. It starts with someone trying to move cash bank work forward while knowing that the next action may affect customers, colleagues, money, delivery, compliance or downstream systems.

Commercial Model / Cash Bank

Commercial clarity for platform adoption

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 Cash Bank 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.

Finance and operations professionals reviewing data, controls and exceptions.
Where Cash Bank becomes real work people can trust. Advanze gives that person a clearer path. Agents gather context, checks happen before action, approvals are routed when judgement matters and the outcome is recorded so the business can trust the work.

Core capabilities

What Cash Bank enables

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

Multi-Bank Connectivity

Connect unlimited bank accounts across institutions for consolidated cash visibility.

Transaction Reconciliation

Automated matching of bank transactions to accounting records with AI-powered suggestions.

Cash Forecasting

Predict future cash positions based on historical patterns, invoices and payment schedules.

Fraud Detection

Real-time monitoring for unusual transactions with configurable alerts and approval workflows.

Bank Statement Import

Upload or auto-fetch statements in multiple formats with intelligent parsing.

GL Integration

Seamless integration with General Ledger for accurate financial reporting and audit trails.

The Advanze Stack - Business Services, Platform Services, Technology Foundation

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

PredictabilityPlan cost by suite, service and adoption pathway.
Consolidation economicsEvaluate savings from retiring overlapping tools.
Value alignmentConnect spend to execution outcomes.
Scale readinessSupport growth across users, agents, records and APIs.
People working through Cash Bank execution with clarity and confidence.
The outcome is not just automation. It is confidence in what happens next. Advanze gives that person a clearer path. Agents gather context, checks happen before action, approvals are routed when judgement matters and the outcome is recorded so the business can trust the work.

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
    Scope the suite

    Identify which applications, services and integrations should be included in the first adoption wave.

  2. 2
    Model value

    Estimate consolidation savings, productivity lift and execution capacity using conservative assumptions.

  3. 3
    Choose the path

    Start with a focused pilot or move directly into a platform foundation programme.

  4. 4
    Scale deliberately

    Expand suites, agents and integrations with clear governance and measurement.

Why this pricing path matters

Cash Bank pricing should be understood through the work it helps govern.

It starts with someone trying to move cash bank work forward while knowing that the next action may affect customers, colleagues, money, delivery, compliance or downstream systems.

What makes it harder in the real world: Cash Bank work can cross teams, systems, customer impact, financial thresholds, policy checks, security boundaries and audit requirements. Without a governed path, people carry too much of that risk manually.

What Advanze changes: Cash Bank becomes a governed execution path when work is classified, enriched with context, checked by specialist agents, routed through approvals and recorded with evidence.

Cash Bank Intake AgentClassifies cash bank work by intent, urgency, risk and required execution path.
Cash Bank Context AgentGathers relevant records, policies, documents, messages, metrics and prior decisions.
Cash Bank Processing AgentPrepares the recommended next action, update, workflow step or response.
Guardrail AgentChecks permissions, thresholds, policy exceptions, sensitive data and approval requirements.
Workflow Orchestration AgentRoutes approvals, coordinates handoffs, records evidence and updates systems after approval.
Challenge

Cash Bank looks like one product area, but real execution depends on surrounding context, approvals, exceptions and system updates.

Orchestration

Advanze treats Cash Bank as part of the execution fabric: agents classify work, gather evidence, route guardrails and coordinate workflow before action is completed.

Success

Cash Bank becomes a controlled path from intent to outcome, with people directing judgement and the platform carrying context, evidence and accountability.

Finance and operations professionals reviewing data, controls and exceptions.
Finance control 12Finance, data and control work made visible through review, exception handling and accountable decisions.
Finance and operations professionals reviewing data, controls and exceptions.
Finance control 13Finance, data and control work made visible through review, exception handling and accountable decisions.
Finance and operations professionals reviewing data, controls and exceptions.
Finance control 14Finance, data and control work made visible through review, exception handling and accountable decisions.

Control model

Useful AI execution needs pricing, permissions and governance to move together.

Cash Bank is strongest when it runs inside the Advanze control model: identity, permissions, data, workflow, policy, audit evidence and human judgement move together.

  • The right context has to be assembled before work can safely move.
  • Different actions require different permissions, approvals and audit evidence.
  • Exceptions must be routed to the correct specialist path instead of handled informally.
  • System updates need to be connected to workflow state, policy and human approval boundaries.

Next step

Build this into your execution platform roadmap

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