Contracts, RFPs, renewals, negotiations: each agent takes on one precise procurement job, starts from the same file, cites its sources and leaves the decision to you.
IT managed services RFP-2027-003
Managed services · Support & operations · Internal client: IT department
Altiris Services
Lyon, FR · Claire V. (claire.v@altiris.example)
Bid analysis
analyzed on receipt · Feb 19The strongest transition plan in the panel — but reversibility isn’t priced, and the ISO certificate submitted needs checking.
Open the full analysis report
Bid V1
Complete ✓Questions / answers
Definition
A procurement AI agent is software that carries out one precise procurement task (reading a contract, scoring a bid, preparing a renewal) from the file’s context, citing its sources, and submits its work to the buyer before any decision.
It differs from a chatbot, which only knows what you paste into it, and from automation, which applies fixed rules. The agent reads the documents, reasons about the case, produces a deliverable and comes back to you with what it can’t settle on its own.
In Naigo, each agent works within a procurement workflow (contracts, RFPs, renewals, negotiation) and on the same file as the others: what one has established becomes the next one’s starting point.
Chatbot, automation, agent: what changes
| General chatbot | Automation | Naigo AI agent | |
|---|---|---|---|
| What it knows | What you paste in | A form’s fields | The file: contract, amendments, bids, need, history |
| Its sources | Rarely cited | Not applicable | Every fact points to its document and page |
| What it does | Answers a question | Triggers fixed rules | Carries out a procurement task end to end |
| The decision | Yours, with no safeguard | Frozen in the rule | Yours, at every step |
Why now
of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024.
Gartner, June 2025 ↗of agentic AI projects will be canceled by the end of 2027: costs, unclear business value, inadequate risk controls.
Gartner, June 2025 ↗the return on generative AI investments for the most advanced procurement organizations, against about 1.5x for the rest.
Deloitte, Global CPO Survey 2025 ↗The difference isn’t the model, it’s what you give it: an agent that knows the contract, the history and the need produces verifiable work. Without context, it produces text.
One file, three agents
Northwave Cloud, a cloud hosting renewal: what the first agent read becomes the next one’s starting point.
Contract reading extracts the 5% annual cap, with its article and page. It enters the file as a sourced fact.
Cloud hosting
Northwave Cloud · Cloud
Contractual reference
Important clauses
Price & commitments
Price indexation cap
Validated
5% per year
Art. 11.2 — Page 7Termination notice
Validated
90 days before expiry
Art. 3.2 — Page 2Annual price
AI — to review 3 docs
€486,000 excl. VAT
Amendment no. 3 — Page 2Service & data
Service level
Validated
99.9% a month · 10% credit below
Art. 8.1 — Page 4Data hosting
Validated
European Union
Art. 13.2 — Page 9Reversibility
AI — to review
Data returned within 30 days
Art. 13.4 — Page 9How they work
Contract in force, amendments, internal client need, bids, history: every agent reads the file’s context before producing anything.
A clause points to its page, a score to the document that supports it. What isn’t documented is said, not guessed.
Agents read, analyze and prepare. An analysis starts on your click, a proposed action is only written once approved, a message never goes without you.
Northwave Cloud
Northwave Cloud renewal 2027
File context
What Naigo passes to the model, every item with its source.
| Item | Value | Source |
|---|---|---|
| Price in effect | €486,000 excl. VAT / yr | ContractAmendment no. 3 · p. 2 |
| Indexation cap | 5% per year | ContractFramework contract · art. 11.2 |
| Notice | 90 days | ContractFramework contract · art. 3.2 |
| Supplier offer | +7.2% | OfferNorthwave offer · V1 |
| Expected volume | Stable, 240 virtual servers | NeedInternal client need |
Model Mistral AI · your key, encrypted
The library
Organized by workflow. Each agent has its mission; most have their own page, with their work shown on a real file.
The category
Procurement Intelligence is procurement intelligence powered by context. The agents are how it gets done: they work inside the workflows, on the file, under your control.
Software that carries out one precise procurement task, like reading a contract, scoring a bid or preparing a renewal, from the file’s context. It cites its sources and submits its work to the buyer before any decision.
A chatbot answers from what you give it in the conversation. A Naigo agent starts from the file (contract, amendments, bids, need, history), carries out a complete task within a procurement workflow and ties every statement to its source.
No. They read, analyze and prepare; decisions and sending stay with you. An analysis starts on your click, a proposed action is only written once approved, a message never goes without you.
Yes, through the file: what one agent extracted or analyzed becomes the next one’s starting point, with its source. Round orchestration builds on bid analysis; renewal preparation, on contract reading.
The one you choose, with your own API keys: Mistral AI (hosted in the European Union), Anthropic, Google or OpenAI. Your keys are stored encrypted.
No. Your data is hosted in France, with a French ISO 27001-certified hosting provider, isolated per customer, and never used by Naigo to train models.
No. They take on the reading, checking and preparation that take the most time. The buyer keeps what creates value: the position, the trade-offs, the supplier relationship and the decision.
Yes, each agent can be configured to fit how you work, and it already starts from what Naigo knows: your document templates, your negotiation playbook, your grids and your existing files.
Bring a contract, a renewal or an upcoming RFP: the demo runs on it.
hello@naigo.ai