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02 · Insights— The analysis

Compliance automation

Automates regulatory checks and reporting so processes stay compliant with far less manual review.

Data updated

76
deployments
on record
12
industries
led by Finance
11
publish a quantified result
75 report any result
12 Oct 2026
newest deployment
publication date
§ 1

Where it is used

Finance accounts for 28% of these deployments.

  1. FinanceSurging · 5 in the last 6 months
    21
  2. ManufacturingEmerging · 0 in the last 6 months
    9
  3. Public SectorQuiet · 0 in the last 6 months
    7
  4. Tech & CommsBuilding · 1 in the last 6 months
    6
  5. Professional ServicesBuilding · 1 in the last 6 months
    6
  6. PharmaQuiet · 0 in the last 6 months
    5
  7. InsuranceRising · 2 in the last 6 months
    4
  8. HealthcareBuilding · 1 in the last 6 months
    4
8 of 12 industries
§ 2

What it delivers

11 deployments publish a number. The rest describe results in words, grouped below.

  1. Time & speed

    7 metrics

    Reduction · median and middle half
    −39%fewMedian reduction −39%, middle half −36% to −54%, from 4 metrics
    Increase · median+40%3 metrics · few
  2. Other quantified impact

    4 metrics

    Reduction · median and middle half
    −83%fewMedian reduction −83%, middle half −79% to −86%, from 2 metrics
    Increase · median+43%2 metrics · few
  3. Automation & deflection

    3 metrics

    Reduction · median and middle half
    −53%fewMedian reduction −53%, middle half −46% to −59%, from 2 metrics
    Increase · median+25%1 metric · few
  4. Productivity & throughput

    2 metrics

    No reductions reported
    Increase · median+195%2 metrics · few
  5. Quality & accuracy

    1 metric

    Reduction · median and middle half
    −50%fewMedian reduction −50%, middle half −50% to −50%, from 1 metric
  6. Sustainability & resources

    1 metric

    Reduction · median and middle half
    −28%fewMedian reduction −28%, middle half −28% to −28%, from 1 metric

Grey figures rest on fewer than 5 published metrics. Read them as examples, not as a typical result.

Results described in words

  1. Risk & compliance71% of these deployments
    54
  2. New product / capability68% of these deployments
    52
  3. Speed & agility68% of these deployments
    52
  4. Scale & capacity36% of these deployments
    27
  5. Customer experience & trust33% of these deployments
    25
  6. Cost efficiency22% of these deployments
    17
6 of 8 result types
§ 3

How it is built

Microsoft is named in 66% of these deployments.

  • Custom-built54% · 30
  • Low-code23% · 13
  • Bought13% · 7
  • Mixed11% · 6

The build approach is known for 56 of 76 deployments (74%). The rest are left out.

Cloud providers named

  1. Microsoft50 deployments
    66%
  2. AWS17 deployments
    22%
  3. GCP11 deployments
    14%

Technologies that recur

  • Azure 11
  • Power Platform 10
  • Amazon Bedrock 10
  • Dynamics 365 9
  • Vertex AI 8
  • Copilot 7
  • Azure AI 7
  • Azure OpenAI 7
§ 4

Deployments over time

13 deployments in the last six full months, against 11 in the six before. Counted by publication month since Oct 2023. 5 earlier deployments are not shown.

The lighter bar is Nov 2026, still in progress: 0 so far.
§ 5

Deployments of this pattern

  1. 12 Oct 2026
    Finance

    Fenergo builds governance-first AI agents for financial services compliance with Amazon Bedrock

    Fenergo · AWS

    Fenergo designed Agent OS, a compliance-focused governance layer for AI agents used in workflows such as client onboarding, KYC, and transaction monitoring. The system captures agent actions as causally ordered events, creates human-readable explanations of decisions, provides tenant-specific compliance context, and escalates high-risk exceptions to compliance officers.

  2. 15 Jul 2026
    Logistics

    Amazon Logistics Automates Electric Vehicle Design Reviews on AWS

    Amazon Logistics · AWS

    Amazon Logistics is the last-mile delivery arm of Amazon, and its Sustainability Engineering team manages electric vehicle charging point deployment across the delivery station network. The team built a serverless design review portal on AWS that uses Automated Reasoning checks in Amazon Bedrock Guardrails and Claude in Amazon Bedrock to extract information from heterogeneous proposals, convert technical specifications into verifiable policies, and validate engineering variables with transparent compliance explanations.

  3. 13 Jul 2026
    Healthcare

    Bluesight builds agentic healthcare compliance assistant with Amazon Bedrock AgentCore

    Bluesight · AWS

    Bluesight built Prism Assistant and a broader multi-product agentic AI platform to automate healthcare compliance workflows across its product suite. The solution uses Amazon Bedrock AgentCore, Amazon Bedrock, MCP tools, and multi-agent orchestration to gather evidence across products and produce auditable compliance determinations.

  4. 26 Jun 2026
    Finance

    Stripe: Production-grade AI agents for financial compliance using Amazon Bedrock (26% faster reviews)

    Stripe · AWS

    Stripe built a production-grade AI agent system for financial compliance on AWS to help compliance teams review thousands of transactions daily without proportional headcount growth. The system uses Amazon Bedrock with a ReAct-style agent framework, task decomposition into a DAG of sub-tasks, a dedicated agent service, and an LLM proxy with prompt caching and model fallbacks.

  5. 3 Jun 2026
    Retail

    AgeChecker.Net — age verification automation and compliance with Document AI and Vertex AI

    AgeChecker.Net · GCP

    AgeChecker.Net provides age verification solutions for ecommerce, helping merchants comply with changing regional regulations while maintaining a smooth checkout experience. The company migrated infrastructure to Google Cloud and uses Document AI to automate extraction from low-quality ID images, reducing verification time from minutes to seconds. It also plans to use Vertex AI for customer support streamlining and fraud detection.

  6. 3 Jun 2026
    Tech & Comms

    Shieldbase AI operating system using Vertex AI and Model Garden on Vertex AI

    Shieldbase AI · GCP

    Shieldbase AI is an enterprise AI operating system that unifies fragmented AI tools, data systems, and agentic applications into a single automation platform. The platform acts as an integration and orchestration layer for customers, connecting multiple data sources and centralizing and indexing data, including BigQuery, for use with Google Cloud AI models. It uses Vertex AI and Model Garden on Vertex AI to power reporting, search, and workflow automation, enabling rapid AI deployment with privacy and governance controls.