Software Engineer / Agentic Workflows / Full-stack

Ranger: the first AI platform built for autonomous procurement. September 30, 2026 "This contract expires in 30 days. The vendor's quarter ends in 12. Here's what I recommend." The message shows up in Slack on a Tuesday morning with the analysis attached - renewal terms, usage trend, three options priced out. Nobody asked for it. Nobody set a reminder. An agent was watching the contract, and it started the work before anyone knew there was work to start. That's the moment procurement changes. For decades, procurement software recorded your work and waited for you to do it - even the newest copilots only help when you ask. What's new is an agent that owns the workflow: it watches, it acts, and it brings you the decisions that deserve a human. It isn't waiting for instructions. It's already on it. Two weeks ago, Levelpath launched Ranger, the first AI platform built for autonomous procurement. Not a copilot bolted onto a system of record, but a completely new platform where agents run entire workflows end to end. Today, Levelpath is launching five distinct autonomous procurement workflows that Ranger can run end-to-end. To truly understand what makes Ranger different, it helps to understand the levels of autonomy - and where a platform sits on that ladder changes everything. The four levels of autonomy for procurement workflows. Autonomy in procurement works like autonomy in cars: driver assistance keeps you in your lane, and a self-driving car takes the route. Procurement has the same ladder, and the level describes how much of the workflow an agent owns and which decisions stay with you. * Level 0, no automation. Manual work with no AI in the loop: spreadsheets, inboxes, and whoever remembers. * Level 1, AI assisted. The agent helps with a few steps when asked, and a human runs the workflow. Drafting a supplier email or summarizing a contract sits here. Most AI procurement platforms sit here today. * Level 2, largely automated. The agent owns the workflow. It runs the happy path end to end and watches for work to do, and a person approves the decisions that carry weight. Renewals, invoice processing, change orders, and requisition checks run at this level. * Level 3, fully automated. The agent runs the whole workflow continuously, exceptions included, with no one in the loop. Supplier and contract cleanup, accruals, and burndown alerts live here - high volume, rare judgment calls. You choose the ceiling for every workflow. Some categories should be fully autonomous, and some never should be. That would be your call, not the software's. Where agentic procurement stops and autonomous procurement begins. Most procurement platforms today offer agentic procurement: hard coded agents bolted onto a system built to record work. That's level 1, and it's where the market sits right now. Level 2 is a structural leap. An agent can only run a workflow end to end when it can see everything the workflow touches: the contract, the supplier, the spend, the policy, the risk - all in one place. A bolt-on agent cannot. Ranger was rebuilt from the ground up so its agents can. Autonomous procurement is levels 2 and 3, and Ranger runs there today across sourcing, contracts, supplier onboarding, risk review, and invoice processing. Here's what that feels like. "This contract expires in 30 days. Here's what I recommend." Ranger computes the notice window on every contract from the end date and the termination notice period, launches the renewal review 30 days ahead of expiry on its own, and can trigger early when conditions favor you, such as a vendor's end of quarter or a drop in usage. It recommends renew as is, renegotiate, terminate, or do nothing - each with a rationale. Low-value tail contracts can renew without a person. On a six-figure contract, the stakes are too high for autopilot: every path reaches the owner, with the analysis already done and time still on the clock to act. A renewal never sneaks past anyone again. "Tell me what you want to buy. I'll build the event." A stakeholder asks for what they need. Ranger clarifies budget and timing, then builds the event: the questionnaire, the pricing sheet, the weighted scorecard, and the supplier invitations. As bids arrive, Ranger scores each bid against what suppliers actually submitted and recommends an award. Handing the decision over to the sourcing manager to make. "Matched, approved, and pushed to NetSuite." Forward an invoice and Ranger takes it from there: it checks for duplicates, then matches three ways against the purchase order. Invoices that match cleanly can clear approval without a person, and an approved invoice pushes to your ERP as a vendor bill automatically. Exceptions reach a person with the evidence attached - they make the judgment call. As they should. "I cleaned up the supplier records while you were in meetings." Supplier record cleanup, contract data cleanup, accruals, and burndown alerts run continuously with no one in the loop, exceptions included. Level 3 is for high-volume work with rare judgment calls. Places where nobody wants to spend their day. And these are just a few of the pre-built autonomous workflows. Ranger Studio lets anyone describe an agent and workflow in plain language and put it to work in seconds. You set the ceiling. Ranger earns the trust. With agents, trust is everything. Trust is what makes Ranger different. Every agent action lands in an append-only log, attributed to the agent. An auditor can always tell an automatic approval from a human one. An agent holds strictly less authority than the person it acts for: it can approve, but it structurally cannot reject. Your agent can say yes for you. It can never say no for you. And agents can be turned on and off at each step of every workflow. None of this shrinks a procurement team. Ranger hands procurement back its real business: negotiations, supplier relationships, and complex deals. Agents carry the routing, the chasing, and the status checks. How to Get started with Ranger. In a world where every company has access to the same intelligence, the advantage goes to the teams that put it to work first. No other function touches more of the company's spend, suppliers, and risk. Ranger is how procurement leads that change instead of chasing it. Its team would be delighted to set up a meeting to show you how Ranger can run procurement end-to-end. Frequently asked questions. What is Levelpath Ranger? What is the difference between agentic procurement and autonomous procurement? Does autonomous procurement replace procurement teams? Which procurement workflows can Ranger run autonomously today? 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The agentic org chart, in action: takeaways from Gartner. September 17, 2026 Levelpath came to the Gartner Procurement Conference ready to show what Autonomous Procurement looks like in practice. Everyone else came ready to see it. This was its first conference since introducing Ranger, the Autonomous procurement platform and the response told Levelpath the market is ready. The session filled to standing room only, and conversations at the booth ran for two days without a break. Nearly every one of them started the same way. Show me what the agents can actually run on their own. That question is the story of the session. Every role in procurement carries a list of jobs, and one by one, on stage, each of those roles got a teammate to take them on. Thank you to the Gartner team for a wonderful event, and to everyone who stopped by to see Ranger for themselves. The agentic org chart gives every role in procurement its own agent: a dashboard agent for the leader, the AI Front Door for the stakeholder, an RFx builder and evaluator for the sourcing manager, a clause review agent for legal, and a workflow builder for procurement operations. Stan Garber, Levelpath Co-Founder and President, and Libby Sestak, Head of AI Solutions and Enablement, presented to a standing room only audience. The agents ran step by step on stage so the room could follow each decision. Teams can configure the same agents to run straight through. Procurement leaders at the booth asked which seat to hand over first, what the guardrails look like, and how to measure the result. That is the agentic org chart, and it ran live in San Diego in front of a standing room only crowd. Stan Garber opened with the shift that made it possible, compressed into less than four years. In 2023, AI answered questions. In 2024, it helped with tasks. In 2025, it completed them. In 2026, it takes autonomous action, and the jump in the last six to nine months has been the sharpest yet. Every procurement process carries a long list of jobs, from routing requests for approval to chasing supplier documents, re-keying data between systems, and building the dashboard someone asked for last week. Those jobs are the ones AI agents are ready to own. The question in the room was not whether an agent can hold a seat. Libby Sestak settled that in the first five minutes. The question every leader brought to the booth afterward was which seat to hand over first. The agentic org chart. The leader's seat: answers without a queue. The leader owns visibility. Contracts, spend, renewals, and risk, in whatever cut the board asked for this quarter. The dashboard agent holds that seat. Libby asked for a dashboard built for a CEO audience, focused on contracts with no evergreen agreements. The agent asked a clarifying question, proposed a layout, and built the dashboard while she kept talking to the room. She gave it feedback, asked for the KPIs at the top, and it adjusted. No analyst queue, and no pivot tables. The stakeholder's seat: self-service that actually serves. The stakeholder owns one thing: getting an answer and getting a request in. The AI Front Door holds that seat. A question gets asked in natural language rather than entered into a form. Someone asking about an invoice receives the status and a direct route to the document, with no ERP login and no message to the accounts payable team. Intake works the same way. Libby uploaded a contract and every field on the request form populated on its own, standard fields and custom fields alike, the pattern Levelpath calls AI intake and prefill. Stakeholders submit complete, accurate requests without typing them. The sourcing manager's seat: blank page to scored responses. The sourcing manager owns the event from the first question to the final recommendation. Three agents hold that seat. Libby started from a blank questionnaire and described what she wanted: a request for proposal questionnaire for project management software with a matching evaluation scorecard. Seconds later she had both, with full sections, varied question types, and a scorecard tied back to the questionnaire. That is an afternoon of thoughtful work returned to the team. The room then jumped forward a few weeks, past publication and supplier responses. Suppliers had replied the way suppliers actually reply, in a mix of Excel files and PDFs. The analysis agent read every response and returned a side-by-side comparison in the exact format Libby requested. The AI evaluator scored every section for every supplier with a written explanation of each score. This is the picture of Autonomous Procurement that landed hardest in the room. One agent can build the event, run it, read the responses, score them, and recommend a path forward. Legal's seat: A review that starts before you open the file. Legal owns the paper, clause by clause, against a playbook that lives in people's heads as often as it lives in a document. The clause review agent holds that seat. It is trained on your playbook and compares every incoming contract against it. Each clause receives a verdict, and each flag arrives with its location in the contract, the reason for concern, and proposed replacement language. Some customers route low-risk, low-spend agreements through it automatically, so contracts that clear every clause never reach a desk. A second agent rebuilds contract families, the relationships that sit at the center of contract lifecycle management. Point it at a supplier and it reads every related agreement to determine which document is the parent, which is the child, which amends another, and which statements of work belong where. Procurement operations' seat: describe the process, watch it build. Procurement operations owns the process itself, and process design has historically meant manual point-and-click configuration. The workflow builder in Ranger Studio holds that seat. Libby described a contract renewal workflow with the steps needed for a successful renewal, watched it build, and then asked for a VP approval step running in parallel with finance and legal. The workflow adjusted immediately. Which seat to fill first. Stan made a point worth repeating. The demo was deliberately slowed so the room could watch each step, and teams can configure these same agents to run straight through. Thresholds, guardrails, and approval routing stay with the procurement team, so agents act inside boundaries people define. Libby framed the choice well on stage. Some agents take work off your plate entirely. Some augment the work you do today. Both give the time back to the part of the job people were hired for: negotiation, strategy, and the relationships that hold supplier performance together. Start with the seat where the work is highest in volume and the judgment is most repeatable. For most teams that is intake and the AI Front Door, because every other seat gets cleaner inputs the moment those two are filled. See every seat running end to end in a Ranger demo. For more from the road, follow Levelpath on LinkedIn. Frequently asked questions. What did Levelpath present at the Gartner Procurement Conference 2026? What is the agentic org chart? Which procurement roles got an AI agent in the session? Can procurement agents run without a person watching each step? What outcomes does an agentic org chart deliver? TABLE OF CONTENTS Get notified about industry insights, customer updates, and more. Capabilities

Levelpath, an AI procurement platform, has launched Agent Orchestration Studio, a no-code tool enabling procurement teams to create custom AI agents and multi-agent workflows without technical expertise. The platform automates procurement processes including intake, sourcing, contracts and stakeholder management. The studio builds on Levelpath's existing library of AI agents, which handle tasks like routing purchase requests, drafting RFPs and analysing supplier pricing. Built on a proprietary supplier graph, the agents understand organisations' full supplier relationship history and workflows. Customers can deploy unlimited AI agents at no additional cost, unlike competitors who charge per agent or prompt. The platform includes automated governance with timestamped activity logs for compliance. Levelpath also expanded its AI Assistant to execute real workflow actions like approving steps and generating documents. The company is backed by Battery, Benchmark and Redpoint Ventures.