Spend under management
Shows how much spend is visible and governed. A low figure points to purchases happening outside the process.
An AI spend management agent is software that reads spend data, invoices and contracts to show where money goes, which vendors overlap and which tools sit outside procurement's view.
Agent reads card, invoice and ledger records.
Agent assigns each line to a vendor and category.
Agent surfaces duplicate tools, unmanaged subscriptions and unusual changes.
A finance analyst confirms the groupings and findings.
Agent proposes consolidation or cancellation candidates with reasons.
The IT or finance leader chooses what to consolidate or cut.
The spend management agent is a group of specialist agents: spend analysis, vendor consolidation, shadow IT discovery and M&A tech stack review, with a copilot for questions. Together they read invoices, purchase orders, contracts, card and expense records and licence data, then classify spend, group overlapping vendors, list unmanaged tools and compare two companies' software.
Each specialist hands back analyses, overlap groupings, discovery lists and proposed options, never final decisions. Finance, IT and procurement leaders review the findings and choose what to cut, merge, renegotiate or keep. Low-confidence classifications go to a reviewer first, and every classification, flag and proposal is logged so the team can trace it back to its source records.
Spend control is lost where nobody has a combined view, and that is the view an agent is built to assemble.
Inconsistent vendor names and categories make it hard to see the true total with any one supplier.
Teams buy different products for the same job, and each looks reasonable in isolation.
Software bought on cards or expensed bypasses procurement and appears only in fragments.
Analysts rebuild the same spreadsheets each quarter, so insight arrives after decisions are made.
Seats and subscriptions keep renewing because nobody compares entitlement with use.
Combining two companies' tool stacks reveals duplicates and contracts that need rationalising.
Choose what you want to know, such as total spend per vendor or software overlap. A clear question shapes which data to load.
Start with invoices, contracts and vendor records. Add card or expense data when you want to look for unmanaged tools.
Check how the agent grouped vendors and fix mistakes, since every later report depends on it.
Take a single overlap or unmanaged tool through to a decision. It shows how long follow-up takes.
Set a recurring review of the agent's findings with finance, IT and procurement so the work continues.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Data preparation | Analysts export, clean and merge sources before any analysis starts. | Agent reads the sources and normalises vendor names for the analyst to review. |
| Finding overlaps | Duplicate tools surface only when someone notices two similar logos. | Agent groups tools by function and shows where several are paid for. |
| Unmanaged tools | Subscriptions on cards or small budgets go unseen by procurement. | Agent flags recurring charges with no contract or owner on record. |
| Change tracking | Spend shifts are found at quarter end, if at all. | Agent compares periods and highlights new vendors and large movements. |
| Decision support | Savings ideas are assembled slowly and argued from partial data. | Agent lists candidates with the records behind each so leaders can judge. |
| If | Then | Who decides |
|---|---|---|
| Two or more vendors serve the same function | Group them and show cost, users and renewal date for each | Procurement lead decides whether to consolidate |
| A recurring charge has no matching contract or owner | Flag it as unmanaged and ask for an owner | Finance partner assigns follow-up |
| A vendor name appears in several spellings | Propose a merged vendor entry with the variants listed | Analyst confirms |
| Seat or licence usage is well below what is paid for | Include it as a right-sizing candidate with the usage source | Business owner and IT |
| Spend in a category rises sharply against the prior period | Surface the drivers and the vendors involved | Category owner |
| A decision would cancel or change a live service | Present it as an option only and notify the service owner | Service owner and finance leader |
The agent proposes a likely vendor from patterns and marks it unconfirmed. An analyst checks with the cardholder before it counts.
The agent shows the total and the contributing teams without assigning blame. The finance partner decides how to allocate.
The agent maps the new company's vendors against existing ones and highlights overlaps. Leaders decide which tools survive and when.
The agent notes low recorded activity and asks the owner to confirm the purpose before any action. The owner decides.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Begin with one clean vendor list across sources. Analysts review merged entries before analysis builds on them.
Run the agent on card and small-budget spend to list recurring charges with no owner. Assign owners before changing anything.
Group tools by function and review the output with IT. Confirm purposes before treating overlap as waste.
Move to a standing review of changes and candidates. Keep every cancellation or consolidation with named leaders.
Shows how much spend is visible and governed. A low figure points to purchases happening outside the process.
Indicates where consolidation might be possible. Read it with usage and contract dates before drawing conclusions.
Tracks whether analysis turns into decisions. A low figure suggests findings are not reaching someone with authority to act.
Quick answers to what people ask most about AI spend management agent.
Book a demoIt reads spend, invoice and contract data to categorise spend, report on it, find overlapping vendors and highlight tools outside procurement. It proposes actions, and people decide which to take.
A dashboard shows data you already know to look for. An agent reads the underlying records, explains what changed, flags things you did not ask about and drafts follow-ups. Many teams use both.
It can look for signs of software outside the formal process, such as card or expense payments with no vendor record, and list them. It does not remove access or cancel anything; people investigate and decide.
It can compare the tools and contracts of two companies, show duplicates and flag renewal dates that matter for integration planning. Leaders decide what to keep and when to change it.
Reasonably consistent invoices, contracts and vendor records. It can clean up naming and categories, but missing contracts or incomplete payment data will limit what it can conclude.
An AI spend analysis agent is software that reads invoices, purchase orders and contracts to classify spend, show where money goes, flag buying outside contracts and track savings and procurement KPIs.
→An AI vendor consolidation agent is software that finds suppliers and tools doing the same job, compares them on cost, usage and contract terms, and lays out options for reducing overlap.
→An AI shadow IT discovery agent is software that finds applications and subscriptions being used or paid for outside approved procurement, then shows who uses them, what they cost and what risk they carry.
→An AI M&A tech stack agent is software that inventories the vendors, applications and contracts of two merging companies, compares them, and shows where they overlap or conflict.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.