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Commercial Model

Project Planning

A simpler way to plan adoption, consolidation and scale.

Project Planning 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.

Platform and governance team reviewing AI execution, controls and architecture.
Project Planning starts with people trying to make the right call. It starts with someone trying to move delivery execution work forward while knowing that the next action may affect customers, colleagues, money, delivery, compliance or downstream systems.

Commercial Model / Project Planning

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 Project Planning 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.

Platform and governance team reviewing AI execution, controls and architecture.
Where Project Planning 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 Project Planning enables

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

Integrated Project Planning

Integrated Project Planning enables seamless coordination across the platform, with AI agents executing governed workflows while humans maintain accountability through unified data and audit trails.

Timeline and Milestone Management

Timeline and Milestone Management leverages the agentic operating model where agents assist with execution while people retain control over strategic decisions and business outcomes.

Dependency Tracking

Dependency Tracking connects to unified platform data, enabling real-time insights and intelligent automation that adapts to your business context.

Resource Planning and Forecasting

Resource Planning and Forecasting ensures compliance and security through governed processes, with full audit trails and role-based access controls across all operations.

Risk Assessment and Mitigation

Risk Assessment and Mitigation accelerates execution by automating routine tasks while escalating exceptions to human decision-makers when needed.

Agile and Waterfall Support

Agile and Waterfall Support provides visibility into platform performance, resource utilization, and business outcomes through comprehensive analytics.

People working through Project Planning 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

Project Planning pricing should be understood through the work it helps govern.

It starts with someone trying to move delivery execution 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: Delivery Execution 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: Delivery Execution becomes a governed execution path when work is classified, enriched with context, checked by specialist agents, routed through approvals and recorded with evidence.

Delivery Execution Intake AgentClassifies delivery execution work by intent, urgency, risk and required execution path.
Delivery Execution Context AgentGathers relevant records, policies, documents, messages, metrics and prior decisions.
Delivery Execution 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

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

Orchestration

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

Success

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

Platform and governance team reviewing AI execution, controls and architecture.
AI runtime control 10Platform, architecture and governance teams controlling agentic execution, cost and operational risk.
Platform and governance team reviewing AI execution, controls and architecture.
AI runtime control 11Platform, architecture and governance teams controlling agentic execution, cost and operational risk.
Platform and governance team reviewing AI execution, controls and architecture.
AI runtime control 12Platform, architecture and governance teams controlling agentic execution, cost and operational risk.

Control model

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

Delivery Execution 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 Project Planning can be implemented as part of a broader Advanze platform adoption programme, from first pilot to enterprise scale.