Pricing group
AI & Multi-Agent Execution
Compare suites and focused products in this commercial category.
AI agents, agent building, orchestration and AI-powered workflows
Pricing category
Choose by suite coverage or focused product need
AI agents, agent building, orchestration and AI-powered workflows
Standalone products
Focused product plans for teams that want to start with a narrower capability.
Why this pricing path matters
AI & Multi-Agent Execution pricing should be understood through the work it helps govern.
It starts with a person trying to get agent builder work done without losing context. They need the next action to be clear, but they also need confidence that the platform has checked the risk, evidence, permissions and downstream impact.
What makes it harder in the real world: Agent builder work looks straightforward until it crosses people, systems, policies, approvals and customer impact. In practice, the work may require the right customer or employee context, policy checks, data quality, approvals, exception routing, integration updates and a clear audit trail.
What Advanze changes: Agent Builder turns agent builder activity into governed execution by connecting agent, prompt, tool, policy, approval and cost context to agents, workflow, permissions, approvals and audit evidence before work is completed.
Agent Builder starts as a single app experience, but the real work usually depends on context from other teams, policies, data and systems.
Advanze treats Agent Builder as part of a governed execution fabric. The app captures the work, agents gather context, workflow routes approvals and the control model determines what can safely happen next.
Agent Builder becomes more than a screen. It becomes a reliable path from intent to controlled action, with people still responsible for judgement and the platform carrying evidence.
Control model
Useful AI execution needs pricing, permissions and governance to move together.
Agent Builder is valuable when it participates in the Advanze control model: identity, permissions, workflow, policy checks, data context, audit evidence and human approval boundaries sit inside the execution path.
- Agent Builder work needs the right agent, prompt, tool, policy, approval and cost context before an agent or user can act with confidence.
- The process often crosses handoffs, approvals, exception paths, SLAs and downstream system updates.
- Different actions need different permission levels: read, draft, update, approve, send, pay, create, close or escalate.
- The business needs evidence of what was requested, what was checked, who approved, what changed and why.
