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Published 30 Apr 2025· via AWS· Blog post

FloQast builds an AI-powered accounting transformation solution with Claude 3 on Amazon Bedrock

FloQast · Professional Services · United States

Headline result

−44%

time

As reported by the source; not independently verified.

Summary

FloQast built an AI-powered accounting transformation solution using Anthropic Claude 3.5 Sonnet on Amazon Bedrock.

The platform supports accounting transaction matching and AI Annotations for audit evidence, combining S3, Textract, Step Functions, Lambda, Bedrock Agents, and Guardrails.

The article says the solution is integrated into the FloQast platform and designed to automate reconciliation and audit workflows at scale.

The problem

  1. 01Accounting teams face complex, manual reconciliation and audit processes at scale.
  2. 02Teams need accurate matching across bank statements and ERP data, plus controlled generation of audit annotations and rules.

What they built

  1. 01FloQast embedded Amazon Bedrock into its platform for AI Transaction Matching and AI Annotations.
  2. 02The solution uses natural-language rule generation, Amazon Bedrock Agents for multi-step orchestration, Amazon Textract to extract data from uploaded evidence, and Amazon Bedrock Guardrails to filter outputs.
  3. 03Users can upload supporting documents to S3, have Textract extract the data, and then use Claude 3.5 Sonnet on Bedrock to apply audit rules and generate pass/fail annotations.

Reported results

  1. 01The article reports a 38% reduction in reconciliation time, a 23% decrease in audit process duration and discrepancies, and a 44% improvement in workload management.
  2. 02FloQast says the automation saves accounting teams countless hours and helps them focus on higher-value activities.
  3. 03The solution improved efficiency for reconciliation and audit workflows within the FloQast platform.
  • Automated reconciliation and audit workflows
  • Added AI transaction matching and annotations
  • Freed accounting teams for higher-value work
  • Improved workflow management at scale

Source

AWS

Blog post · 30 Apr 2025 · Published by a vendor

How this deployment compares

Computed from the library · data 10 Nov 2026

This is the only FloQast deployment in the library. It is one of 67 document automation deployments, 4 of them in Professional Services. Its reported 44% reduction is within the typical range (median 40% across 22 figures).

FloQast in the library

The only FloQast deployment in the library

Same pattern, whole library

One of 67 document automation deployments

  • Professional Services accounts for 4 of them (6%), ranking #4 of 12 industries.
  • 21 records of this pattern came before it; 30 have been published since.
  • Only 26 of the 67 put a number on the result (39%).
  • Distinctive claim: Employee experience outcomes are reported by only 10 peers (15%).
Provider mix
  • GCP37%
  • AWS36%
  • Microsoft27%
Most-used technology
  • Amazon Bedrock 19
  • Vertex AI 17
  • BigQuery 12
  • Amazon Textract 10
  • Azure OpenAI 9
  • Gemini 9

Outlined: used in this record.

Shares describe this library, not the whole market.

Results against peers

44% reduction is within the typical range

Across 22 time & speed figures (Professional Services), the median reduction is 40%; the middle half falls between 25% and 77%.

This recordMiddle half of peers

  • Productivity & throughput91 figures, all industries · middle half 25%–70%40%median increase
  • Adoption & scale8 figures, all industries · middle half 134%–1100%250%median increase

Peer figures are as reported by their sources; percentage claims only.

How we checked this record

Evidence tier: supported

A credible source with a named customer, but not the organization's own account.

Named organization
FloQast
Who published the source
The technology vendor
Deployment status
Scaled Production (confidence 95%)
Quantified result
The source reports at least one figure
Summary checked against source
5 / 5 agreement

Last re-checked 13 Jun 2026.

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