Office towers seen from below against a blue sky

More analysis, less manual review.

Agents for audit, insurance and banking that read documents, cross-check information and prepare each file so the specialist can decide.

3 scenarios · Financial services Scroll

Operations today

A specialist's judgment is valuable. Spending it on reviewing documents is expensive.

Auditors, analysts and adjusters spend much of their day reading and cross-checking documents before they can apply their judgment.

01

Line-by-line review

Financial statements, policies and files read in full by hand.

02

Manual cross-checks

Information compared across Excel, PDFs and different systems.

03

Demanding compliance

Due diligence and regulation that leave no room for errors or delays.

04

Workload peaks

Closings, audits and seasons that force extra hires or overtime.

Scenarios

Three processes an agent can run today.

Every scenario starts from a real process and is adapted to your rules and systems in the Binaria Scan.

Scenario 01
Financial review agentActive
  • 09:10Received financial statements and trial balance
  • 09:12Matched 1,240 balances against the trial balance and prior year
  • 09:14Recalculated notes, totals and financial ratios
  • 09:15Flagged 9 differences with their exact reference
Financial servicesFinancial review agent

Financial statement review for auditors

The problem. An audit team reviews each financial statement line by line: tying balances to the trial balance, checking notes and recalculating totals. It is necessary work that eats up weeks of busy season.

  1. 1Reads financial statements, notes and trial balances in PDF or Excel.
  2. 2Matches balances, notes and comparatives against the trial balance and prior period.
  3. 3Recalculates totals, variances and financial ratios.
  4. 4Flags differences with their exact reference for the auditor.
Connects withExcelPDFAudit softwareEmail
Expected impact
−60%review time per client
100%of figures cross-checked
Daysnot weeks, per report
Scenario 02
Claims agentActive
  • 10:12Received a car claim via WhatsApp
  • 10:13Asked the policyholder for a photo of the police report
  • 10:31Confirmed active policy and a $250 deductible
  • 10:32Assigned the case with a summary and recommendation
Financial servicesClaims agent

Insurance claims with a complete file

The problem. Claims arrive by email, WhatsApp and the portal, with photos, invoices and incomplete forms. An analyst takes days to get the file ready for a decision.

  1. 1Receives the claim on any channel and asks for what is missing.
  2. 2Extracts data from invoices, reports and photos.
  3. 3Validates coverage, deductible and fraud signals against the policy.
  4. 4Assigns the case to the right analyst with a summary.
Connects withPolicy systemEmailWhatsAppDocument manager
Expected impact
48 h → 6 hfirst response to the policyholder
−50%incomplete files
100%of cases arrive with a summary
Scenario 03
Due diligence agentActive
  • 10:20Received an onboarding request with 6 documents
  • 10:21Extracted identity, company and beneficial owner data
  • 10:22Screened sanctions lists and politically exposed persons
  • 10:24Built the file and rated it medium risk
Financial servicesDue diligence agent

Customer due diligence (KYC)

The problem. Onboarding a customer means reviewing IDs, articles of incorporation, beneficial owners and sanctions lists. It takes days and relies on nobody missing anything.

  1. 1Receives identity, corporate and supporting documents in any format.
  2. 2Verifies data, expiry dates and consistency across documents.
  3. 3Screens sanctions lists, politically exposed persons and public sources.
  4. 4Prepares the file with its risk level for the compliance officer.
Connects withCore bankingSanctions listsDocument managerEmail
Expected impact
−70%onboarding time
100%of files fully traceable
Same dayresponse to the customer

Implemented cases

Results measured in real operations.

We will soon publish cases with verified figures alongside the teams that use them.

Coming soon

Our first cases, with verified figures.

We are measuring results with the teams that use our agents. Each case will be published with its baseline and the result achieved.

I want to be the next case