AEC Intelligent Engine — strategic bidding, fusing large models with knowledge graphs
Turn a top bidding expert’s workflow into a 24/7 AI digital-employee assembly line — now evolving into a general-purpose AI bidding SaaS platform anyone can subscribe to.
- 10× efficiency
- 80% cost reduction
- ≥98% parsing accuracy
- 100% rejection-risk detection
A digital entry point into a RMB 40-trillion industry
China’s annual bidding & tendering transactions exceed RMB 40 trillion, shifting from labor-driven to technology-driven.
The fatal flaws of traditional bidding
- Scattered credential recordsCertificates, personnel, and social-security records expire or go missing; manual retrieval is slow and error-prone.
- Weak competitive intelligenceNo systematic analysis of rivals’ track records, qualifications, or historical pricing — leaving strategy blind.
- No review mechanismExperience can’t be reused; the same flaws recur across projects.
- Hard to win the technical scoreWithout reading reviewers’ implicit preferences, even strong proposals lose points.
- Uncontrollable rejection linesFatigued review can’t catch 100% of errors; a missing seal or expired document triggers rejection and steep deposit losses.
The solution: a bidding “digital employee” (AI Agent)
An Agent that can replace an expert is built from four parts — AEC industrially optimizes every one:
| Part | What general LLMs lack | AEC’s optimization |
|---|---|---|
| Brain | No industry knowledge; hallucination | Bidding-compliance knowledge and vertical logic chains; reads front-matter constraints |
| Memory | Can’t link enterprise assets | Enterprise knowledge graph; retrieves the best historical material |
| Tools | Leaves “AI artifacts” in formatting | Layout control down to the OpenXml element and attribute level |
| Planning | Can’t orchestrate long tasks | Multi-agent assembly line mirroring a top expert’s workflow 1:1 |
The AI assembly line: how the digital employees divide the work
- 01
Intelligence parsing & document reading
Extracts key elements in seconds (approval number, tenderer, funding, schedule, quality standard); OCR pulls bills of quantities and drawing scope.
- 02
Targeted technical-bid authoring
Draws on regional reviewer-preference libraries plus the company’s high-scoring text to hit the scoring points.
- 03
Precise commercial-bid generation
Pixel-perfect PDF→DOCX (underlines, checkboxes reproduced), filling credentials and personnel data seamlessly.
- 04
Layout & final-review risk control
Auto-arranges scanned attachments, force-checks signatures and seals, scans for rejection points.
- 05
Post-bid review & asset sedimentation
Analyzes scoring gains/losses and rival deviations; best proposals archived into the knowledge graph and SOPs.
Human–AI collaboration
AI handles high-density mechanical execution; human experts make high-value strategic decisions.
Input · human-led
The project manager sets the bidding tone and pricing strategy.
Execution · AI digital employees
The agent matrix works in parallel — reading, extracting, formatting, synthesizing hundreds of pages.
Review · human risk control
The system highlights risks; reviewers confirm with one click or reject selectively.
Security & deployment
On-premise (strongly recommended)
Physical isolation, data never leaves your premises; full domestic-ecosystem support (incl. local DeepSeek deployment & fine-tuning), turned into a fixed asset.
Cloud public-API option
Zero hardware investment, fastest go-live — fit for non-confidential scenarios and quick validation.
Product form: from expert engagements to a general SaaS platform
AEC is evolving from bespoke, expert-grade engagements into a general-purpose AI bidding SaaS platform — enterprises of any size or region can subscribe on demand, turning a top expert’s capability into a cloud service. Rollout can be phased and tailored to scope.
Non-functional metrics for SOE / listed-company governance
- Parsing accuracy ≥98%
- 100% rejection-risk detection
- Peak response ≤3s
- Full logs retained indefinitely
Zero-error, zero-rejection, strongly governed, high-win
Built on a foundation already proven in industry-benchmark cases, we help you build a digital bidding-management system.