Procurement Agent
Procurement Agent that automates procurement workflows using your data and tools.
The challenge
Requisitions arrive as free text and get routed by whoever recognises the category. Buyers rekey quotes into a comparison spreadsheet, off-contract spend leaks through unnoticed, and proving why one supplier won means reconstructing the decision from an email thread months later.
The outcome
A Microsoft Foundry agent classifies the requisition against contracts held in Azure AI Search, Azure AI Document Intelligence reads the quotes, and Azure Functions normalise them for a like-for-like comparison. Catalogue and framework orders raise automatically; off-contract spend reaches a buyer with the risk assessed.
At a glance
- Type
- ai agents
- Category
- business
01 — Architecture
End-to-end architecture
A requisition enters, is classified to a category and contract, and routed down the right sourcing path. Quotes are read by Document Intelligence and normalised for a like-for-like comparison, supplier risk and sanctions are screened, and a named buyer awards anything off-contract or over threshold.
- Requester: Requester / Buyer
- Intake: Dynamics 365 / ERP, Azure Logic Apps
- Sourcing: Azure API Management, AI Document Intelligence
- AI & agent: Microsoft Foundry Agent, Azure OpenAI models, Azure AI Search, Azure AI Content Safety
- Data & records: Azure SQL, Azure Cosmos DB, Azure Key Vault
- Approval & insight: Buyer approval, Approval workflow, Power BI / Fabric
02 — Workflow
Process & decision workflow
How a need becomes a compliant purchase order — classify, source, compare and check, then branch. Catalogue and framework purchases raise automatically against contract, while off-contract or over-threshold spend goes to a buyer with the options, the risk and the rationale.
- Request: Need, budget, category and urgency captured
- Classify: Mapped to a category, contract and cost centre
- Source: Catalogue, framework or quote route selected
- Compare: Quotes normalised on price, terms and lead time
- Check: Supplier risk, sanctions and policy validated
- Award: Purchase order raised against the right contract
- Path 1 · catalogue or framework — Auto-raise the order: Purchase order issued against contract
- Path 2 · off-contract or over threshold — Buyer approval: Options, risk and rationale presented
03 — Components
Key Microsoft components
Procurement decisions have to be defensible — sourcing, comparison, screening and award all stay on the Microsoft stack.
Dynamics 365 / ERPRequisitions, purchase orders and the system of record.
Azure Logic AppsIntake, approval routing and supplier notifications.
Azure API ManagementSecure gateway for supplier, catalogue and ERP APIs.
Azure AI Document IntelligenceReads quotes, contracts and supplier documentation.
Microsoft Foundry Agent ServiceClassification, sourcing and comparison orchestration.
Azure OpenAI modelsTerms summarisation and like-for-like comparison notes.
Azure AI SearchRetrieval over catalogues, frameworks, contracts and policy.
Azure AI Content SafetyProbity guardrails on supplier communication and criteria.
Azure FunctionsNormalisation, threshold rules and savings calculation.
Azure SQLSpend, supplier master, awards and approval records.
Azure Cosmos DBRequest state, sourcing events and comparison history.
Azure Key VaultERP and supplier portal credentials and secrets.
Azure Blob StorageQuotes, contracts and award evidence packs.
Power BI / Microsoft FabricSpend, savings, compliance and supplier dashboards.
04 — AI
What the agent consumes
The capabilities the agent applies to every requisition, and the line it does not cross.
AI capabilities embedded in the agent
- Requisition classification
- Catalogue matching
- Quote extraction
- Like-for-like comparison
- Supplier risk screening
- Sanction and exclusion checks
- Retrieval-augmented generation
- Terms summarisation
- Delegation routing
- Maverick-spend detection
- Savings attribution
- Workflow orchestration
AI responsibility boundaries
The agent sources, compares and prepares; a named buyer awards anything off-contract, over threshold or single-sourced. It never selects a supplier on unpublished criteria, changes bank details or bypasses the delegation matrix. Every award records the options considered, the criteria applied and the approver.
05 — Personalization
Personalization & evolving process
The same methodology applies to every agent in the catalog. Tune the categories, the sourcing template, the thresholds and the value model — the page structure stays identical.
Category & supplier profile
Define the spend categories, frameworks, preferred suppliers, currencies and regulatory obligations in scope. The personas are the requester, the category buyer, finance and the compliance officer.
Sourcing template
One consistent flow for every procurement agent: request, classify, source, compare, check risk, approve, award, receipt and measure the realised saving.
Policy & thresholds
Declare the contract coverage, competition thresholds, delegation matrix, exclusion lists and probity rules. Award criteria are published before quotes are compared, never after.
Value model
Capture baseline metrics first, then map the expected benefits: requisition cycle time, on-contract spend, realised savings, supplier risk coverage and audit readiness.
06 — Impact
Key outcomes & business impact
Starting targets for the value case — validate each one against the customer baseline during discovery.
- On-contract spend85%+Requisitions routed to the right agreement automatically.
- Cycle time−50%Catalogue and framework orders raise without a queue.
- Realised savingsTrackedBenefit measured against the baseline, not the quote.
- Award traceability100%Every award stores its options, criteria and approver.
Illustrative improvement index
Manual baseline = 100. Illustrative targets, not a commitment — confirm against the customer baseline.
- Requisition cycle time: manual baseline 100, AI-assisted target 50
- Off-contract spend: manual baseline 100, AI-assisted target 40
- Sourcing hours: manual baseline 100, AI-assisted target 45
Related & recommended
Derived automatically from our solution knowledge graph.
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Related quick wins
Ready-made Azure AI to start fast.
Technologies
What powers this solution.
Azure AI
Managed AI services for vision, speech, language and document.
Microsoft Copilot Studio
Low-code platform to build custom copilots and agents.
Azure AI Foundry
Platform to design, evaluate and operate AI apps and agents.
Azure Functions
Serverless compute for event-driven workloads.
Related managed services
Keep it running and optimised.
AI Managed Services
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DevOps Managed Services
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