AI agent that evaluates procurement tenders at specialist level

It reads your RFP, extracts evaluation criteria, and checks each proposal against them. Findings come with quotes from the source documents. The agent runs on its own. No configuration needed.

Evidence-based
Findings reference specific text from your documents.
Specialist-level reasoning
Understands context, checks dates and amounts, cross-references across documents.
Transparent
Every evaluation step is logged. You see what was checked and why.
Autonomous
Upload documents and start. The agent handles evaluation, verification, and reporting.
The challenge

Why this exists

Manual procurement evaluation has a structural problem: the volume of documents exceeds the capacity of the team reviewing them.

  • A typical tender includes hundreds of pages across multiple documents. Not all of it gets read.
  • Compliance issues hide in details: wrong dates, expired certificates, contradictory statements.
  • A single overlooked requirement can invalidate a procurement or lead to disputes after contract award.
  • Teams apply the four-eye principle where they can, but deadlines limit how thorough the review actually is.
  • Senior specialists end up doing mechanical work (reading, cross-referencing, documenting) instead of evaluating.

The agent handles the mechanical part. Your specialists focus on judgment.

How it works

Let the AI agent work

1

Upload documents

RFP and all proposal documents. Supported formats: PDF, Word, Excel, PowerPoint, EDOC, and others. No pre-processing needed.

2

The agent evaluates

The evaluation runs in four phases: preparation (reads all documents, extracts evaluation criteria and lot structure), specialists (dedicated sub-agent per criterion and lot, all evaluated in parallel), analysis (compares requirements against proposals, checks dates, amounts, references — each finding backed by a document quote), and verification (critical findings reviewed a second time by a separate model, false positives filtered out).

3

Review results

Prioritized findings with severity levels, compliance scores per criterion and lot, evidence quotes with document references, and a recommendation. Exportable to Excel.

Deep analysis

Consistent, exhaustive analysis

The agent reads all documents with equal attention. It does not skim, skip, or deprioritize based on page count. The evaluation is the same whether the tender has 20 pages or 200.

What you get

Findings ranked by severity

Critical issues first. Each finding includes what was expected, what was found, and where in the document.

Direct quotes from your documents

The agent does not summarize or paraphrase. It references the exact text so you can check any finding against the original.

Compliance scores

Overall score, per criterion, and per lot. You see where each proposal stands before reading the full report.

Full evaluation log

Every step the agent took is recorded: what it checked, what it found, how it got there. Downloadable as XLSX.

RFP docs analysed
Requirements extracted
All proposal documents parsed
47 pages processed
Issues found
3 critical, 5 minor

Results that matter

It runs autonomously. Start the analysis, come back when it is done.

Technologies we used to create the TENDER AGENT solution:

AI & Machine Learning

AI solutions

Business critical

Software Development

UI / UX design

UI / UX design