How it works
The intelligence behind the agents
AgentrixAI combines language models with your procurement data, category expertise and market intelligence in one shared working environment. Agents use this commercial context to coordinate multi-step tasks, use tools and check outputs, with evidence, permissions and human approvals keeping your team in control.
Under the hood
The intelligence behind the agents
External · Layer 1 of 5
Category intelligence
Market evidence interpreted with category expertise: what prices, specifications and suppliers look like beyond your own records.
Feeds shared intelligence directly. It does not depend on your internal data.
Sources
- Supplier catalogs
- Market indices
- Published benchmarks
Internal · Layer 2 of 5
Commercial context
Your own purchasing records, connected to the suppliers and items they describe.
Feeds shared intelligence on its own path, independently of category intelligence.
Sources
- Transactions
- Contracts
- Technical specifications
Combined · Layer 3 of 5
Shared intelligence
Your commercial context and category knowledge, combined so every agent works from the same picture.
Takes in both inputs independently. Neither is derived from the other.
Combines
- Category intelligence
- Commercial context
Work · Layer 4 of 5
Agent execution
Tools, workflow state, checks and handoffs carry multi-step work from one agent to the next.
Works from shared intelligence and passes results up for review.
Includes
- Tools
- Workflow state
- Checks
- Handoffs
Delivered · Layer 5 of 5
Approved work
Results are passed on once your team approves them.
Delivered to your existing systems, which stay in place.
Destinations
- Procurement applications
- ERP systems
Governs every layer
Human control
Permissions, approval points and evidence your team can inspect, across every layer.
Nothing reaches approved work without review.
Includes
- Permissions
- Approvals
- Review
Why use AgentrixAI when you already have an LLM?
Language models provide the reasoning. AgentrixAI adds the procurement expertise, business context and execution environment needed to put that reasoning to work.
| What the work requires | What AgentrixAI adds |
|---|---|
| Understanding your business | Shared context connecting your suppliers, purchases, specifications and agreements. |
| Knowing what matters in the category | Category data, expert-developed models and relevant market intelligence. |
| Completing a task across several steps | Tools, persistent workflow state and coordinated handoffs between agents. |
| Checking the work | Validation rules, supporting evidence and exceptions surfaced for review. |
| Acting within your authority | Defined permissions and human approval at the decisions that matter. |
Human control
Agents do the work. You keep the pen.
People review exceptions and approve the actions that matter. Nothing moves forward on unchecked assumptions.
Scope and plan
Approved by the category owner
Low-confidence item match
Held out of the baseline until reviewed
Supplier recommendation
Evidence attached, decision with your team
Catalog and contract changes
Start only after approval
Connections
Keep your systems. Connect the work.
Start from the files and extracts your team already uses.
ExcelGoogle DriveTeamsGetting started
Start focused. Expand with evidence.
Agree a dataset or category, a business owner and the output that would make the first engagement useful.