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Intake, sourcing, quote-comparison and purchase-order agents, designed around your approval limits and the systems you already run — so the agent proposes and your policy decides.
This page is for procurement and finance-operations leaders who are weighing whether AI agents belong anywhere near sourcing and purchasing. Our answer is yes, with one condition: the controls come first. Procurement is where software commits real money to an outside party, so the useful question is not whether an agent can raise a purchase order but what stops it raising the wrong one. We design procurement agents that do the assembly work — reading requests, finding and shortlisting suppliers, comparing quotes, checking a proposal against policy, drafting the purchase order — and we design them to sit behind the approval hierarchy you already run for people. They work around your ERP, your source-to-pay tooling, your supplier portals and the mailbox where most requests still arrive, rather than replacing any of them. The agent proposes; a policy engine owned by finance decides; a named human signs where your delegation of authority says one must.
High-leverage workflows where autonomous reasoning, when bounded correctly, returns real hours back to your team.
Each agent is a scoped, typed, evaluable piece of software — not a prompt. We design them to run behind approval gates and to be measured continuously.
Turns a request into a structured requisition, asks the requester when a detail is missing, and routes it. Produces data, never a commitment.
Searches approved suppliers first, widens the search only where policy allows, and returns a shortlist with quotes, lead times and contract coverage.
Issues structured requests, normalises the responses into one comparison, and drafts counter-proposals within bounds the buyer sets.
Reviews a proposal against contract coverage, budget, supplier risk and category policy. A separate agent from the one that built the deal.
Performs the three-way match and prepares each mismatch for a human to adjudicate.
Sequences the work and holds the state of each requisition. It routes by the decision of the policy engine and never approves spend itself.
A procurement agent is safe to the degree it respects the controls your organisation already applies to people. We design from those controls: spend bands that decide who may approve what, segregation of duties so the agent that raises a purchase cannot approve it, three-way match before payment, and a rule that spend with no current contract forces a review. The bands live outside the agent as versioned, audited policy owned by finance, because a number in a prompt can be argued past. Approval is enforced at the point where the agent calls a system, so a tool will not commit spend without an approved decision, and every proposal and decision is logged with its rationale. Each agent gets the narrowest credentials its role needs. Our write-up of how the approval and policy layer works sets this out in detail.
Illustrative scoping patterns — not testimonials or client disclosures. Every real engagement is shaped by the customer's data, team, and regulatory posture.
Begin on paper, before any agent exists: map your delegation-of-authority bands, segregation-of-duties rules and three-way-match process, and decide which controls become an external policy engine. The first deliverable is that policy layer and the list of actions an agent may and may not take.
Pick one spend category and run the agents in propose-only mode: they draft requisitions and purchase orders, people approve. Measure how often the proposals would have passed policy cleanly before any approval band is allowed to auto-approve.
Add the RFQ and comparison agents for a category with many small, repeatable buys. The agent normalises quotes and drafts the ask; the buyer commits. Widen scope only once the proposals are consistently usable.
Start by testing whether an off-the-shelf procurement suite already does what you need. If it does, use it. Custom agents earn their place where your approval hierarchy, systems or categories do not fit a packaged product, and we would say so before proposing any build.
Most procurement engagements combine one or two of our service lines.
Deep-dives from the Inductivee Intelligence engineering blog that go deeper on the patterns behind the agents above.
Software agents that use a language model to plan and take actions through tools on procurement tasks: turning a request into a requisition, finding and shortlisting suppliers, requesting and comparing quotes, checking a proposal against policy and drafting a purchase order. The safer design is several narrow agents, each with limited permissions, coordinated by an orchestrator.
An operating model in which agents carry out defined parts of sourcing and purchasing inside limits that people set in advance, such as spend bands, approved suppliers and policy, while people handle strategy and the exceptions those limits flag. It is a spectrum, not a switch.
Not in a design we would build. The agent may raise and route a purchase, but the approval is made by a different actor: a named human, or a policy engine the agent cannot influence. An agent that can both propose and approve its own spend has no segregation of duties.
Finance owns the bands as versioned policy outside the agent. The orchestrator maps each proposal to its band and routes it: in-band, on-contract proposals can follow the auto-approval rule you set, and anything above a threshold, off contract or flagged for risk goes to the named approver.
Buy where a packaged suite already fits your process. Build where your approval hierarchy, systems or spend categories do not fit one. We would assess that first and tell you which it is.
We design them to work around the systems you already run, typically an ERP, a source-to-pay tool, supplier portals and shared mailboxes, through their APIs or database views. Which connections are practical is settled in the first assessment, against your actual systems.
Gates sit where the risk is: committing significant spend, onboarding a new supplier and paying against a mismatched invoice always go to a person. Lower-risk steps such as drafting a requisition or requesting quotes run without a gate, and everything is logged.
We would start with your existing controls and decide which become an external policy engine, then pilot the agents in propose-only mode on one category before any approval band is automated. Scope and timing depend on your systems and categories.
We scope in weeks, not quarters. Tell us the workflow that costs you the most hours and we will come back with a buildable plan.
