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VAAS · Surety Bond

We accelerate your surety bond analysis.

AI-automated balance sheet analysis for surety bonds and B2B credit. Multi-agent pipeline that delivers a human-ready decision in 30 seconds.

Analyst · Manual process
0s
Elapsed time · 60x speed for visualization
Open 32-page PDF03:00
Classify financial statements04:00
Type balance sheet into spreadsheet12:00
Type income statement into spreadsheet09:00
Map chart of accounts07:00
Calculate ratios manually06:00
Check policy matrix, set limit04:00
VAAS · AI Pipeline
0s
Running in real time
Classification3s
Extraction: BS + IS + CF8s
Account mapping (crosswalk)5s
Credit Matrix (37 codes)9s
Score, limit and rate5s
84%
Time reduction
70+
Analyses/day per analyst
+95%
Extraction accuracy
3 wks.
Contract to go-live
How it works
The problem

Three layers that turn
a boring task into a silent crisis.

Balance sheet analysis looks operational. But it controls cash flow, commercial pace, and your ability to compete.

Operational

Volume exploding, analysts overwhelmed

Each balance sheet is 45 to 70 min of repetitive work: open PDF, type into spreadsheet, calculate ratios, consult matrix. Your senior team becomes an Excel operator.

Financial

Every minute is cost and lost revenue

Long analysis = long queue. Long queue = policy not issued. Policy not issued = lost premium. Operations demand speed before the process can deliver.

Strategic

Faster competitor wins the deal

In surety bonds, the winner is whoever responds first. If your analysis takes a day and a competitor takes an hour, the principal has already closed before your decision arrives.

Case · Top 5 BR Surety Insurer

From 45 minutes to 8 minutes per analysis.

One of the largest surety bond insurers in the country processed ~1,200 balance sheets per month. 90 days after go-live with VAAS, the same team was processing 4,800.

82%
Reduction in average analysis time
4x
Monthly volume without hiring analysts
R$ 2.1M
Annualized overhead savings
Act I · Diagnosis

The invisible bottleneck

  • 22 senior analysts dedicated exclusively to balance sheets
  • 45 min average per PDF, 30 min of that just typing
  • 6-day queue at peak public procurement season
  • Competitors were directing brokers by response time
Act II · Customization

The client matrix, translated 1:1

  • Proprietary credit policy ported into Codehub, not a generic template
  • Final decision replicates the structure and language
  • Shadow mode with 500 historical analyses from the client
  • Integrated with existing systems · no forced tool swap
Act III · Results

Analysis is no longer the bottleneck

  • Average time dropped to 8 min end-to-end
  • 4x volume, same team
* Client under confidentiality agreement · metrics audited · available under NDA in demo
Multi-agent pipeline

Five specialized agents,
30 seconds, one decision.

Each agent does one thing extremely well. The balance sheet enters as a PDF, exits as a credit decision ready for human approval.

PDF
DRE_Construtora_Atlas_2024.pdf
7.2 MB · 32 pages · broker upload
1
Classification
classifies doc
queued
2
Extraction
BS · IS · CF
queued
3
Crosswalk
account mapping
queued
4
Credit Matrix
37 codes
queued
5
Decision
score · limit · rate
queued
Approval
human reviews
in queue
pipeline.stream · run_8f2c1b
t+0.0s
awaiting input...
Decision ready
in queue for human approval
Score
738
Class
B+ / IIa
Curr. liquidity1.42
Leverage0.63
Net margin8.2%
ROE14.1%
EBITDA/FD3.8
Coverage2.1
Anatomy of an analysis

What comes out of the pipeline. Fully auditable.

Every decision comes with a complete trace: which pages were read, which agent ran, which matrix rule fired, which policy version was applied.

CREDIT DECISION · SG-2024-02847 · Mar 03 14:22
Construtora Atlas S/A · 12.345.678/0001-90
Approved
Registration
Fiscal year2024 · audited
SegmentCivil construction · buildings
Product requestedPerformance · 18 months
Composite score · 37 indicators
738/1000
Class B+ · subclass IIa
Current liquidity1.42
Total leverage0.63 · WARN
Net margin8.2%
EBITDA / Financial debt3.8x
Interest coverage2.1x
+ 32 other indicatorssee trace
Decision · policy credit.yaml v3.2.1
Suggested limitR$ 4,800,000
Base rate1.18% p.a.
Eligible productsPerformance · Judicial
Execution trace
tipificacao@2.8s · extracao@10.3s (pp. 3–12, 18–27) · de-para@14.8s · matriz@22.5s · decisor@29.4s · policy=credit.yaml:v3.2.1
1
37 indicators, one composite score

The credit matrix is yours: liquidity, leverage, coverage, ESG. The pipeline computes each code and sums it with the weights your risk team defined. Swap the matrix, the score recalculates.

2
Limit and rate derived from policy

Not AI guessing a number. It is your policy.yaml rule applied to the score, term, and product. Auditable, versioned, and reproducible. The committee sees exactly which version ran.

3
Full trace, from page to decision

Which agent ran, which page was read, which rule fired, which policy version was applied. All recorded. If the regulator asks, you show the JSON.

ROI Calculator

How much is your operation leaving on the table?

Adjust the sliders to your reality. Numbers update in real time.

Balance sheets analyzed/month1,200
1008,000
Average analysis time (min)45 min
15 min90 min
Analyst hourly cost (R$)R$ 180
R$ 80R$ 400
Assumptions: VAAS reduces average time to 8 min (end-to-end, including human approval). Calculation excludes revenue gains from faster response.
Your potential with VAAS
Annualized savings
R$ 1.6M
Hours freed / month
740 h
New capacity / month
6,750
Unit time reduction
82%
Next step

Your next balance sheet, analyzed in 30 seconds.

Live demo with a real PDF. You watch the credit decision being generated, not a slide presentation.

Talk on WhatsApp
no commitment · send your own PDF in the demo