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02 · Insights— The analysis

Finance & Banking

430 documented deployments, 10.9% of the record. What they do, what they report and how they are built.

Data updated

430
deployments
on record
28%
use AI agents
120 deployments
3.1
average innovativeness, 1 to 5
Differentiated
110
published in the last 6 months
61 in the 6 months before
§ 1

The read

Written 19 Jun 2026 from 40 representative deployments. The figures on this page are live.

Finance AI adoption is clustering around a few repeatable workflows: fraud detection and investigation automation, customer service agents, and document-heavy processes such as trade finance, complaints, onboarding/KYC, and back-office operations. These use cases map directly to the sector’s biggest pressure points: alert overload, manual data gathering, high false positives, fragmented systems, and the cost and complexity of unstructured documents and compliance review. The evidence suggests the market is past experimentation in service and document processing, with agentic and copilot patterns becoming operational, while more autonomous research and decisioning agents remain earlier-stage.

§ 2

What is distinctive about Finance & Banking

Digital banking platform is 12.2× more common here than across the whole record.

Lift compares a pattern’s share of deployments here with its share everywhere. 1× means no difference.

  1. Digital banking platform12 here of 12 in total
    12.2×
  2. Trading platform modernization11 here of 11 in total
    12.2×
  3. Digital banking10 here of 10 in total
    12.2×
  4. Fraud detection41 here of 61 in total
    8.2×
  5. Investment research15 here of 24 in total
    7.6×
  6. Risk assessment39 here of 81 in total
    5.8×
§ 3

The most common patterns

Fraud detection leads with 41 deployments from 37 organizations.

  1. Fraud detection37 organizations · 8 in the last 6 months
    41
  2. Risk assessment33 organizations · 4 in the last 6 months
    39
  3. Customer service automation24 organizations · 3 in the last 6 months
    29
  4. Document automation25 organizations · 2 in the last 6 months
    26
  5. Compliance automation19 organizations · 5 in the last 6 months
    21
  6. Customer support automation15 organizations · 2 in the last 6 months
    17
  7. Cloud migration14 organizations · 6 in the last 6 months
    16
  8. Investment research14 organizations · 3 in the last 6 months
    15
8 of 20 patterns
§ 4

Across business functions

Operations accounts for the most deployments here: 373.

A deployment can serve several functions.

  1. Operations87% of this dossier
    373
  2. Legal & Compliance63% of this dossier
    271
  3. Finance61% of this dossier
    264
  4. Human Resources40% of this dossier
    173
  5. Customer Service38% of this dossier
    162
  6. Research & Development32% of this dossier
    136
  7. Marketing19% of this dossier
    82
  8. Supply Chain18% of this dossier
    79
§ 5

What deployments here report

170 Finance & Banking deployments publish a quantified result.

Compare with all industries

  1. Time & speed

    156 metrics

    Reduction · median and middle half
    −60%Median reduction −60%, middle half −40% to −75%, from 37 metrics
    Increase · median+77%14 metrics

  2. Cost savings

    37 metrics

    Reduction · median and middle half
    −45%Median reduction −45%, middle half −30% to −80%, from 22 metrics
    Increase · median+47%1 metric · few

  3. Quality & accuracy

    24 metrics

    Reduction · median and middle half
    −28%Median reduction −28%, middle half −21% to −38%, from 6 metrics
    Increase · median+40%9 metrics

  4. Productivity & throughput

    19 metrics

    Reduction · median and middle half
    −60%fewMedian reduction −60%, middle half −60% to −60%, from 1 metric
    Increase · median+40%11 metrics

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

§ 6

How it is built

Microsoft appears in 36% of these deployments.

  • Custom-built75% · 242
  • Low-code6% · 19
  • Bought12% · 38
  • Mixed7% · 22

The build approach is known for 321 of 430 deployments (75%). The rest are left out.

Cloud providers named

Compare providers across all industries
  1. Microsoft156 deployments
    36%
  2. AWS127 deployments
    30%
  3. GCP100 deployments
    23%
  4. Alibaba38 deployments
    9%
  5. IBM7 deployments
    2%
  6. OpenAI2 deployments
    1%
§ 7

The highest-ranked deployments

The top 10 of 208 ranked deployments, by innovativeness adjusted for age.

Only records with high or medium evidence strength are ranked.

All 430 deployments
  1. 15 Oct 2025
    Finance

    Canadian real estate firm streamlines finance with AI copilots

    Leading Canadian Real Estate Capital Firm · Risk assessment · Microsoft

    A leading Canadian commercial real estate capital firm partnered with ALIANDO to overhaul its underwriting, compliance, and finance operations. Facing significant manual processing bottlenecks and siloed data, the firm worked with ALIANDO, a Microsoft partner, to develop a unified AI strategy centered on coordinated copilots. This project leveraged Microsoft Fabric, Azure AI, Power Platform, Azure OpenAI Service, and Copilot Studio to automate document summarization, risk scoring, regulatory validations, audit preparation, and provide real-time analytics. The solution integrated multiple departments’ workflows, increased collaboration, and positioned the company for scalable future innovation. The immediate outcomes were notable improvements in speed, throughput, and revenue, showcasing the value of AI-driven modernization in the finance industry.

    Multi-agentProduction

    −30%
    time
  2. 18 Jun 2026
    Finance

    PitCrew verifies AI agent decisions with Automated Reasoning on AWS

    PitCrew · Workflow automation · AWS

    PitCrew provides an agentic AI platform for financial services that maps systems and configures agents against customer data and policies. The solution uses Amazon Bedrock Guardrails automated reasoning to convert regulations and business policies into logical statements and verify AI outputs with transparent explanations. PitCrew also uses Amazon Bedrock AgentCore, AWS Lambda, Amazon S3, and Amazon RDS to run production agents and orchestrate policy build workflows.

    Multi-agent

    40
    Automated Reasoning policies
  3. 24 Jun 2026
    Finance

    Dojo uses Gemini Enterprise to deploy 680+ AI agents for payments operations and customer workflows

    Dojo · AI agents · GCP

    Dojo is a UK-based payments provider that built a cloud-native payments platform on Google Cloud and adopted Gemini Enterprise across the organization to deploy more than 680 AI agents in about two months. The agents support customer operations, sales, marketing, talent acquisition, onboarding, compliance, and chargeback processing, with examples including an operations triage agent, a sales daily brief agent, a document parsing agent, and a chargeback agent.

    Multi-agentProduction

    −70%
    chargeback processing time
  4. 17 Mar 2026
    Finance

    NLB scales AI agents with enterprise agentic governance

    NLB Bank · AI governance · Microsoft

    Nova Ljubljanska Banka (NLB), Slovenia’s largest banking group, partnered with Adastra to deploy a centralized enterprise agentic AI platform for scaling internal AI agents under bank-grade controls. The platform standardizes agent design, approval workflows, role-based access, policy enforcement, dedicated experimentation/testing/production environments, cost controls, and observability while preserving model choice across cloud GenAI services. NLB says the approach enables safe, scalable AI adoption across departments with full traceability and predictable costs.

    AgenticProduction

    −80%
    AI use case implementation time and cost
  5. 27 May 2026
    Finance

    Worldbox & AllCloud — agentic AI-powered sales distribution via MCP and AWS Marketplace

    Worldbox · Automotive operations automation · AWS

    Worldbox is a Swiss business intelligence company with a database of more than 400 million businesses worldwide. It partnered with AllCloud to design a secure, two-tiered data distribution model on AWS Marketplace that lets customers search, discover, and purchase data using agentic AI tools. The solution adapts Worldbox’s existing API interface to agentic AI workflows through a Model Context Protocol (MCP) server.

    AgenticExploring

  6. 26 May 2026
    Finance

    Junson Capital automates global investment reporting with Vertex AI, Gemini and Document AI

    Junson Capital · Intelligent document processing · GCP

    Junson Capital is a global investment management firm that built an AI-native data engine on Google Cloud to extract structured intelligence from high-variance, unstructured documents. The firm uses Vertex AI, Document AI, and Gemini models to process private bank statements, inspection testing reports, and handwritten documents with a proprietary six-layer recognition framework. The implementation also supports regional hosting for data residency and powers an AI-native digital employee workflow for operational tasks.

    Production

  7. 17 May 2026
    Finance

    Transparently.AI detects accounting manipulation and fraud using Vertex AI and Gemini (Singapore)

    Transparently.AI · Fraud detection · GCP

    Transparently.AI, based in Singapore, built a managed AI platform to detect accounting fraud and manipulation in corporate financial statements. The platform helps investors and financial institutions make more informed decisions by identifying red flags in financial data. The solution uses Google Cloud Vertex AI, a fine-tuned Gemini 2.0 Flash model, and BigQuery for analysis. Transparently.AI trains about 200 financial models on decades of data across 85,000 companies to replicate the work of forensic accountants, short sellers, credit and equity analysts, and academics.

  8. 8 May 2026
    Finance

    ABN AMRO Bank enhances AI capabilities with Microsoft Copilot Studio

    ABN AMRO Bank · Customer service automation · Microsoft

    ABN AMRO Bank, one of the largest banks in the Netherlands, enhanced its customer and employee interactions using Microsoft Copilot Studio with Azure services, as part of their digital banking innovation strategy. The bank migrated its chatbots Anna (customer-facing) and Abby (employee-facing) to Microsoft Copilot Studio, integrating Azure AI Language CLU for improved intent recognition and entity extraction, supporting over 3.5 million customer conversations annually. They implemented continuous integration and delivery with Azure DevOps and used Power BI for monitoring and analyzing key performance indicators. The new AI-driven agents handle complex queries with higher accuracy and reduced operational costs, improving customer and employee satisfaction significantly.

    AgenticProduction

    +7%
    accuracy
  9. 8 May 2026
    Finance

    Cognizant and Microsoft AI Automate Document Processing for Global Bank

    leading multinational banking organization · Document automation · Microsoft

    A leading multinational banking organization partnered with Cognizant to implement an AI-driven key information extraction solution to automate document processing. The solution drastically reduces the time needed to extract information from printed, scanned, and handwritten documents, improving operational efficiency and customer experience.

    Production

    ↓ ≤30 min
    time
  10. 10 May 2026
    Finance

    Starling Innovates Customer Banking Experience with Google Cloud Generative AI

    Starling · Fraud detection · GCP

    Starling, a UK digital bank, enhanced customer financial management, fraud detection, and customer support by leveraging Google Cloud AI technologies including Vertex AI, BigQuery, Gemini, and Model Armor. The bank migrated its data warehouse to BigQuery and developed AI features such as Scam Intelligence, Spending Intelligence, and automated call transcript summarization using Gemini multimodal models and Vertex AI pipelines. Starling offers its capabilities to other banks via the Engine by Starling platform, enabling safe, scalable generative AI deployments for improved banking services globally.

    Production