The rise of AI agents in procurement is one of the most exciting developments in our industry.
Software that can autonomously perform tasks, analyse data, and provide actionable insights across sourcing, contract management, purchase orders, and decision-making. Unlike traditional procurement tools, these agents can actively support or even execute procurement processes. AI agents in procurement are now actively helping teams save time, reduce risk, and uncover cost-saving opportunities.
Based on a recent LinkedIn survey of procurement professionals, it’s clear that understanding which companies are offering AI agents and how they deploy them is becoming increasingly important.
Practitioners want to know not just that AI exists, but who is delivering it, and in what way, so they can evaluate solutions that truly fit their workflow needs.
In this article, we provide a brief overview of 17 leading procurement software companies with AI agent capabilities, highlighting what each agent does and the problems it solves. Below, you’ll also find comprehensive tables summarising these companies by their primary agent category, making it easier to understand the landscape at a glance.
Let’s dive in.
Established Procuretechs
We’ve split this first section into two. Firstly, we’ll cover more mature procurement tech companies who have built AI agents into their product offering.
1. ConvergentIS (Rio)
Convergentis provides AI agents that automate supplier management, including onboarding, risk checks, and compliance monitoring.
Their agents can classify spend, detect anomalies, and flag contract or invoice irregularities. They also generate insights on supplier performance, enabling procurement teams to prioritise high-impact actions. Overall, their AI helps reduce manual administration and ensures compliance across complex supplier networks.
2. Gatekeeper (LuminIQ)
Gatekeeper’s LuminIQ AI agents specialise in contract lifecycle management.
They automatically analyse contracts for risky clauses, track upcoming renewals, and highlight deviations from internal policy. The AI also provides recommendations for renegotiations and identifies opportunities for improved terms. This helps procurement and legal teams proactively manage contracts and maintain compliance at scale.
3. Aera Technology
Aera Technology’s AI agents focus on decision intelligence and autonomous procurement actions.
They continuously analyse spend, supplier performance, and market conditions to recommend or execute sourcing decisions. Agents can forecast demand, optimise workflows, and alert teams to anomalies or risks. This empowers procurement teams to act proactively rather than reactively.
4. Levelpath
Levelpath provides AI agents focused on predictive procurement insights and analytics.
Agents consolidate spend, contract, and supplier performance data to highlight risks, cost-saving opportunities, and optimisation paths. They also offer forecasting capabilities to anticipate supplier issues or potential supply chain disruptions. This allows teams to make proactive, data-driven procurement decisions.
5. Keelvar
Keelvar uses AI agents to optimise sourcing events and supplier engagement.
They can automatically select suppliers, simulate bidding scenarios, and recommend negotiation strategies based on historical performance and pricing trends. The AI can also score suppliers dynamically and adjust sourcing strategies in real time. This significantly accelerates sourcing cycles while improving decision quality.
6. Fairmarkit
Fairmarkit provides AI agents that automate spend management and bidding processes.
Agents classify procurement data, recommend suppliers, and suggest sourcing actions to reduce costs. They also monitor supplier engagement and performance to ensure competitive and compliant procurement. This helps teams scale sourcing without increasing manual effort.
7. Zip
Zip’s agentic AI focuses on autonomous procurement execution.
Agents can select suppliers, issue requests, track fulfilment, and handle exceptions automatically. They monitor supplier performance and optimise compliance workflows in real time. This reduces human intervention and ensures more efficient, error-free procurement processes.
8. Pactum
Pactum uses AI agents for autonomous supplier negotiation.
The agents analyse historical contracts, pricing trends, and supplier behaviours to negotiate optimal terms in real time. They aim to maximise cost savings and efficiency without requiring manual intervention. This approach transforms traditional negotiation cycles into continuous, automated value creation.
9. Mercanis
Mercanis offers a broad range of AI agents for end-to-end procurement automation.
Agents handle supplier discovery, onboarding, risk and performance monitoring, sourcing campaigns, and workflow orchestration. They also simulate negotiation scenarios and identify cost-saving opportunities. This allows procurement teams to operate more strategically while significantly reducing manual workload.
10. Procol
Procol’s AI agents streamline procurement workflows, including supplier onboarding, approval routing, and document management.
Agents automatically track deadlines, monitor compliance, and highlight workflow bottlenecks. They also provide actionable insights into supplier performance and spend trends. The AI is designed to reduce administrative overhead and improve process visibility.
Startups and Scaleups
Finally, let’s take a look at some younger, AI-native procuretech startups who have taken the AI agents in procurement approach from the ground up, building from scratch with AI agents at the core.
11. askLio
askLio acts as a natural-language procurement intelligence agent, allowing users to query spend, supplier, and contract data directly.
The AI interprets questions and delivers actionable insights, such as cost-saving opportunities or supplier performance anomalies. Its intial use case was the automation and improving the quality of free-text procurement requests, reducing the time spent on back-and forth between purchasing team and requisitioner, and they now offer numerous AI agents.
It can simulate “what-if” scenarios to support strategic decisions, essentially functioning as a virtual procurement analyst.
12. FlipThrough
FlipThrough.ai provides AI agents that focus on document and contract analysis.
They can read, summarise, and classify large volumes of procurement documents, highlighting risks, obligations, and key dates. The agents extract actionable insights to accelerate decision-making and ensure compliance. This is particularly useful for teams managing complex contract portfolios or large document sets.
13. Evolinq
Evolinq uses AI agents to optimise sourcing and supplier decisions.
Agents analyse historical spend, supplier performance, and contract data to recommend sourcing strategies. They can simulate “what-if” scenarios to highlight potential savings or risk mitigation opportunities. This enables procurement teams to make informed decisions faster and with higher accuracy.
14. Procure.ai
Procure.ai provides agentic AI for autonomous procurement execution.
Agents handle purchase requests, supplier selection, and approvals automatically. They also monitor supplier performance, detect anomalies, and generate predictive insights to optimise procurement efficiency. This reduces manual intervention and supports data-driven decision-making across procurement workflows.
15. Kavida.ai (Agent PO)
Agent PO from Kavida.ai automates the entire purchase order lifecycle, from creation and validation to approvals and exception handling.
The AI can auto-approve routine POs while escalating anomalies to the relevant team member. It also ensures compliance with internal policies and budget constraints, reducing manual workflow bottlenecks. This results in faster PO processing and more consistent procurement practices.
16. Purchaser.ai
Purchaser.ai’s agents automate purchasing and supplier management processes.
They create POs, match invoices, and manage approvals autonomously. Agents also provide insights on supplier reliability, cost optimisation, and workflow efficiency. The AI reduces errors, speeds up procurement cycles, and improves compliance adherence.
17. Rivio.ai
Rivio.ai offers AI agents for contract analysis and spend visibility.
Agents automatically extract key contract terms, identify obligations, and highlight risks or savings opportunities. They monitor supplier compliance and provide scenario-based decision support. This makes it easier for procurement teams to manage contracts at scale and make proactive sourcing decisions.
Now, let’s look at all of these agents by category
Sourcing & Supplier Optimisation Agents
| Company | Key Capabilities | Typical Use Case |
|---|---|---|
| Keelvar | Automates sourcing events, simulates bids, recommends negotiation strategies, dynamic supplier scoring | Faster, optimised supplier selection and sourcing strategies |
| Fairmarkit | Classifies spend, recommends suppliers, manages bidding, monitors supplier engagement | Cost reduction, scalable sourcing automation |
| Evolinq | Analyses spend, supplier performance, contracts; recommends sourcing strategies; “what-if” simulations | Optimised sourcing and risk mitigation decisions |
| Pactum | Autonomous supplier negotiation, analyses historical data, optimises pricing & contract terms | Continuous, automated supplier negotiations for cost savings |
| Mercanis | End-to-end procurement automation: supplier discovery, onboarding, sourcing campaigns, scenario simulations | Full-scale strategic procurement automation |
Contract & Document Management Agents
| Company | Key Capabilities | Typical Use Case |
|---|---|---|
| Gatekeeper (LuminIQ) | Analyses contracts for risk, tracks renewals, suggests renegotiation, highlights deviations | Proactive contract lifecycle management |
| FlipThrough.ai | Reads, summarises, classifies contracts; highlights obligations, risks, key dates | Fast contract review, compliance tracking |
| Rivio.ai | Extracts contract terms, identifies obligations, highlights risks/savings, monitors compliance | Scalable contract management, proactive decision-making |
Purchase Order & Procurement Workflow Agents
| Company | Key Capabilities | Typical Use Case |
|---|---|---|
| Kavida.ai – Agent PO | Automates PO creation, validation, approvals, exception handling | Reduce PO processing time, improve compliance |
| Zip | Autonomous supplier selection, request issuance, tracking fulfilment, monitoring compliance | Fully autonomous procurement workflows |
| Procure.ai | Automates purchase requests, supplier selection, approvals; detects anomalies; predictive insights | End-to-end procurement execution |
| Procol | Supplier onboarding, approval routing, document management, compliance monitoring | Streamline workflows, reduce admin overhead |
| Purchaser.ai | Creates POs, matches invoices, manages approvals, monitors supplier reliability & cost optimisation | Faster cycles, improved compliance |
Decision Intelligence & Analytics Agents
| Company | Key Capabilities | Typical Use Case |
|---|---|---|
| Levelpath | Aggregates spend, supplier, contract data; provides risk/savings insights; forecasting | Data-driven procurement planning, proactive risk management |
| Aera Technology | Analyses spend, supplier performance, market conditions; recommends/executed sourcing; forecasts demand; alerts anomalies | Proactive decision-making, workflow optimisation |
| AskLio | Natural language querying of spend, suppliers, contracts; scenario simulation; actionable insights | Virtual procurement analyst, decision support |
