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Genpact

Genpact, an NYSE-listed Bermuda company, provides finance and accounting services and offers agentic AI suites for the close, payables and FP&A.

3 offerings in the directory Last verified

Ownership
Public

Common shares (G) listed on the New York Stock Exchange; organized under Bermuda law, per its Form 10-K for 2025.

SourceGenpact Limited, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
Headquarters
Bermuda

Based on the 10-K, which gives Hamilton, Bermuda as the principal executive office and registered office; Genpact's press releases carry a New York dateline.

SourceGenpact Limited, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
Audit firm
No

No statutory audit practice is described in the sources read; the flag is false on that basis, not on an independently sourced negative.

Subprocessor list
Not stated
Contract terms
Not stated

Offering · AI agent

Genpact AP Suite

Directory recordLast verified Compare with othersBuild questions for this vendor

Genpact's AP Suite applies agentic AI to accounts payable through four modules: AP Capture, AP Advance, AP Trace and AP Assist. SourceGenpact AP Suite

Genpact says its agents read and validate invoices, manage matching, exceptions and auto-posting, route to people when needed, and learn from feedback over time. SourceGenpact AP Suite

AP Trace looks for duplicate invoices and unusual patterns, and AP Assist handles supplier queries in several languages. SourceGenpact AP Suite

Genpact says client data stays in the client's environment under the agreed deployment model and is not used to train models for other clients. SourceGenpact AP Suite

Where it fits

An accounts payable agent layer that Genpact says sits over existing ERP and cloud AI platforms rather than replacing them. SourceGenpact AP Suite

CoE analysis Auto-posting and duplicate detection touch payment controls, so the thresholds and approval points deserve as much scrutiny as the touchless rates.

What it does

Workflow areas
Accounts payable
SourceGenpact AP Suite
Customer size
Not stated

AI

Kind of AI
  • Agents and automated actions
  • Established machine learning and rules
SourceGenpact AP Suite
Suggests or acts
Suggests and acts
SourceGenpact AP Suite
Availability
Not stated

No availability, edition or regional terms on the product page.

Models named
Not stated

Control

Who controls it
  • Professional services firm
  • Customer finance team
SourceGenpact AP Suite

Commercial

Pricing model
Not stated
Public price
Not stated

Evidence

Independent outcomes
None found in the sources read.
Sources read
  • Vendor-stated 5
  • Independent market evidence 4
  • Independently verified outcomes None read
  • Pricing None read
  • Known limitations None read
Coverage
Directory record
Last verified

Delivery and lock-in

Delivery model
Not stated
Run service offered
Not stated
Team qualifications published
Not stated

Not stated in the sources read.

IP and post-engagement license
Genpact's 10-K says its solutions often include proprietary methodologies, software and reusable knowledge capital, and that "our agreements with our clients govern the ownership of such intellectual property." No terms for this product, or for use of its agents after an engagement ends, are published in the sources read. [C-5108]
SourceGenpact Limited, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
Savings claims (firm-stated)

Stated by the firm, not verified

  • up to 99% of discount opportunities captured

    A share of available discount opportunities, not a monetary amount; marked on the page as a projected estimate. No baseline, population, period, or treatment of service fees is stated.

SourceGenpact AP Suite

Security and control

Single sign-on
Not covered in this record
User provisioning
Not covered in this record
Role-based access
Not covered in this record
Administrator controls for AI
Not covered in this record
Audit logs
Not covered in this record
Certifications
Not covered in this record
Data retention
Not covered in this record
Data residency
Not covered in this record
Training on customer data
Not covered in this record

AI features

As the vendor or firm describes them. Notes in small print record what the sources leave open.

  1. AP Capture

    Agentic AI extracts supplier data across invoice formats and classifies, enriches and cleans it.

    Kind
    Established machine learning and rules
    Suggests or acts
    Not stated
    Who controls it
    Professional services firm
    Availability
    Not stated

    Control: Not stated.

    SourceGenpact AP Suite
  2. AP Advance

    Three-way matching, exception handling and non-PO invoices, with AI-led auto-posting and recommended actions.

    Kind
    Agents and automated actions
    Suggests or acts
    Suggests and acts
    Who controls it
    Professional services firm
    Availability
    Not stated

    Control: Not stated.

    SourceGenpact AP Suite
  3. AP Trace

    Algorithms identify duplicate invoices and unusual patterns, using feedback to reduce false positives.

    Kind
    Established machine learning and rules
    Suggests or acts
    Suggests
    Who controls it
    Professional services firm
    Availability
    Not stated

    Control: Not stated.

    SourceGenpact AP Suite
  4. AP Assist

    Handles supplier queries across languages, identifies intent and automates responses.

    Kind
    Agents and automated actions
    Suggests or acts
    Acts
    Who controls it
    Professional services firm
    Availability
    Not stated

    Control: Not stated.

    SourceGenpact AP Suite

Questions to ask

For this offering

  • Which steps do agents or automation complete without a person approving them (for example posting entries, clearing reconciliations or releasing payments), and how are those thresholds set, changed and evidenced?
  • Which invoices can AP Advance post without human approval, and how do AP Trace alerts block or release a payment?
  • Will you provide a SOC 1 Type 2 report for the outsourced finance processes, and does its scope include the AI platform and agents used to deliver them, including changes to models and prompts?
  • Is our data used to train, tune or improve any model, rule or shared knowledge base, including one used for other clients, and where is it processed and retained?
  • Which model providers and sub-processors sit behind the AI features, and how will you notify us when they change?
  • Can you show the population, baseline and period behind the outcome figures you publish, and will you commit to any of them in the contract as service levels?

From the diligence question set

  1. DQ-31 Who, by name and role, will design, build, test and run the AI in our finance process, and what AI has each of those people personally put into production?
  2. DQ-32 How does your firm decide that someone is qualified to build or govern AI for financial reporting, and who outside the delivery team reviews model risk before anything goes live?
  3. DQ-33 When the engagement ends, what will we own and be able to run ourselves, and what will work only with your firm? On what terms are your accelerators licensed afterward, and what does it cost to leave a run service?
  4. DQ-34 What will this cost in years two to five, including run fees, platform licenses, AI usage fees and change requests, and how does that compare with the savings case once the internal oversight roles we keep are counted?
  5. DQ-35 Do you receive fees, rebates, resale margins or other incentives from the software you are recommending, and do you, or will you, audit our financial statements?
  6. DQ-36 What results from clients like us can you show that someone other than your firm has verified, and by what method?

Offering · AI agent

Genpact Finance Actions Hub

Directory recordLast verified Compare with othersBuild questions for this vendor

Genpact describes Finance Actions Hub as agentic AI-assisted decision support for FP&A. SourceGenpact Finance Actions Hub

It names four agents: forecasting and scenario, insight and diagnostics, anomaly detection, and an insight narrative agent that drafts commentary for reporting packs. SourceGenpact Finance Actions Hub

Genpact says human-in-the-loop review is built in at every step and that the product uses a proprietary, industry-specific fine-tuned model rather than a generic large language model. SourceGenpact Finance Actions Hub

Where it fits

CoE analysis Decision support for FP&A that drafts analysis and commentary for people to review, not a planning system of record.

CoE analysis Teams would still need to establish which data the model was tuned on and how generated narratives are checked before they reach a reporting pack.

What it does

Workflow areas
  • Planning and FP&A
  • Finance data and analytics
  • Reporting and disclosure
SourceGenpact Finance Actions Hub
Customer size
Not stated

AI

Kind of AI
  • Agents and automated actions
  • General-purpose assistant
  • Established machine learning and rules
SourceGenpact Finance Actions Hub
Suggests or acts
Suggests
SourceGenpact Finance Actions Hub
Availability
Not stated

The page invites contact with an expert; outcomes are to be validated during project initiation.

Models named
Not stated

Control

Who controls it
Professional services firm

Genpact says human-in-the-loop review is built in at every step; who can change configuration, prompts, data connections or behavior is not stated.

SourceGenpact Finance Actions Hub

Commercial

Pricing model
Not stated
Public price
Not stated

Evidence

Independent outcomes
None found in the sources read.
Sources read
  • Vendor-stated 3
  • Independent market evidence 4
  • Independently verified outcomes None read
  • Pricing None read
  • Known limitations None read
Coverage
Directory record
Last verified

Delivery and lock-in

Delivery model
Not stated
Run service offered
Not stated
Team qualifications published
Not stated

Not stated in the sources read.

IP and post-engagement license
Genpact's 10-K says its solutions often include proprietary methodologies, software and reusable knowledge capital, and that "our agreements with our clients govern the ownership of such intellectual property." No terms for this product, or for use of its agents after an engagement ends, are published in the sources read. [C-5108]
SourceGenpact Limited, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
Savings claims (firm-stated)

Stated by the firm, not verified

  • up to 40% reduction in manual reporting effort

    Labeled "indicative targeted outcomes only"; the page says actual potential outcomes must be validated during project initiation. No baseline, population, period, or treatment of service fees is stated.

SourceGenpact Finance Actions Hub

Security and control

Single sign-on
Not covered in this record
User provisioning
Not covered in this record
Role-based access
Not covered in this record
Administrator controls for AI
Not covered in this record
Audit logs
Not covered in this record
Certifications
Not covered in this record
Data retention
Not covered in this record
Data residency
Not covered in this record
Training on customer data
Not covered in this record

AI features

As the vendor or firm describes them. Notes in small print record what the sources leave open.

  1. Forecasting and scenario agent

    Runs what-if models to estimate potential outcomes.

    Kind
    Established machine learning and rules
    Suggests or acts
    Suggests
    Who controls it
    Not stated
    Availability
    Not stated

    Control: Not stated. Finance users run scenarios; who controls configuration is not stated.

    SourceGenpact Finance Actions Hub
  2. Insight and diagnostics agent

    Answers ad hoc natural-language queries and generates structured reports using generative AI.

    Kind
    General-purpose assistant
    Suggests or acts
    Suggests
    Who controls it
    Not stated
    Availability
    Not stated

    Control: Not stated. Users query it; who controls configuration is not stated.

    SourceGenpact Finance Actions Hub
  3. Anomaly detection agent

    Scans financial data to flag patterns and unusual values and trigger alerts.

    Kind
    Established machine learning and rules
    Suggests or acts
    Suggests
    Who controls it
    Professional services firm
    Availability
    Not stated

    Control: Not stated.

    SourceGenpact Finance Actions Hub
  4. Insight narrative agent

    Automates narratives and commentary for standard reporting packs.

    Kind
    General-purpose assistant
    Suggests or acts
    Suggests
    Who controls it
    Professional services firm
    Availability
    Not stated

    Control: Human-in-the-loop review stated for every step.

    SourceGenpact Finance Actions Hub

Questions to ask

For this offering

  • What data is the proprietary model fine-tuned on, does it include other clients' data, and which base model does it build on?
  • How are generated narratives and commentary reviewed and evidenced before they reach a reporting pack or board material?
  • Is our data used to train, tune or improve any model, rule or shared knowledge base, including one used for other clients, and where is it processed and retained?
  • Which model providers and sub-processors sit behind the AI features, and how will you notify us when they change?
  • Can you show the population, baseline and period behind the outcome figures you publish, and will you commit to any of them in the contract as service levels?

From the diligence question set

  1. DQ-31 Who, by name and role, will design, build, test and run the AI in our finance process, and what AI has each of those people personally put into production?
  2. DQ-32 How does your firm decide that someone is qualified to build or govern AI for financial reporting, and who outside the delivery team reviews model risk before anything goes live?
  3. DQ-33 When the engagement ends, what will we own and be able to run ourselves, and what will work only with your firm? On what terms are your accelerators licensed afterward, and what does it cost to leave a run service?
  4. DQ-34 What will this cost in years two to five, including run fees, platform licenses, AI usage fees and change requests, and how does that compare with the savings case once the internal oversight roles we keep are counted?
  5. DQ-35 Do you receive fees, rebates, resale margins or other incentives from the software you are recommending, and do you, or will you, audit our financial statements?
  6. DQ-36 What results from clients like us can you show that someone other than your firm has verified, and by what method?

Offering · AI agent

Genpact Record-to-Report Suite

Directory recordLast verified Compare with othersBuild questions for this vendor

Genpact presents the Record-to-Report Suite as agentic AI for the close, in three modules: Journal Entry, Reconciliation and Intercompany. SourceGenpact Record-to-Report Suite

Its agents ingest data from ERPs, sub-ledgers and bank files, apply self-learning rules to match transactions and classify exceptions, and route anything needing a human decision. SourceGenpact Record-to-Report Suite

Genpact says the Reconciliation agents verify evidence, score confidence and classify open items, with a full audit trail of every action. SourceGenpact Record-to-Report Suite

It positions the suite as a finance domain layer over the client's existing ERPs and cloud AI platforms. SourceGenpact Record-to-Report Suite

Where it fits

CoE analysis A close-focused agent product from an outsourcing firm, sitting between the ERP and the reconciliation or close tools a team already runs.

CoE analysis Its value depends on how the auto-matching and journal thresholds are set and who signs off on them, which the page does not specify.

What it does

Workflow areas
  • Close
  • Reconciliation
SourceGenpact Record-to-Report Suite
Customer size
Not stated

AI

Kind of AI
  • Agents and automated actions
  • Established machine learning and rules
SourcesGenpact Record-to-Report SuiteGenpact Limited, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
Suggests or acts
Suggests and acts
SourceGenpact Record-to-Report Suite
Availability
Not stated

The product page offers demos; no availability, edition or regional terms.

Models named
Not stated

Control

Who controls it
  • Professional services firm
  • Customer finance team
SourceGenpact Record-to-Report Suite

Commercial

Pricing model
Not stated
Public price
Not stated

Evidence

Independent outcomes
None found in the sources read.
Sources read
  • Vendor-stated 5
  • Independent market evidence 4
  • Independently verified outcomes None read
  • Pricing 1
  • Known limitations None read
Coverage
Directory record
Last verified

Delivery and lock-in

Delivery model
Not stated
Run service offered
Not stated
Team qualifications published
Not stated

Not stated in the sources read.

IP and post-engagement license
Genpact's 10-K says its solutions often include proprietary methodologies, software and reusable knowledge capital, and that "our agreements with our clients govern the ownership of such intellectual property." No terms for this product, or for use of its agents after an engagement ends, are published in the sources read. [C-5108]
SourceGenpact Limited, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
Savings claims (firm-stated)

Stated by the firm, not verified

  • up to 40% lower workload during close cycles

    Marked on the page as a projected estimate. No baseline, population, period, or treatment of service fees is stated.

SourceGenpact Record-to-Report Suite

Security and control

Single sign-on
Not covered in this record
User provisioning
Not covered in this record
Role-based access
Not covered in this record
Administrator controls for AI
Not covered in this record
Audit logs
Not covered in this record
Certifications
Not covered in this record
Data retention
Not covered in this record
Data residency
Not covered in this record
Training on customer data
Not covered in this record

AI features

As the vendor or firm describes them. Notes in small print record what the sources leave open.

  1. Journal Entry module

    Turns almost any input into a standardized journal template, learns from every entry and catches anomalies.

    Kind
    Agents and automated actions, Established machine learning and rules
    Suggests or acts
    Not stated
    Who controls it
    Professional services firm
    Availability
    Not stated

    Control: Not stated.

    SourceGenpact Record-to-Report Suite
  2. Reconciliation module

    Self-learning agents verify evidence, score confidence, classify open items and route exceptions to people, with a full audit trail.

    Kind
    Agents and automated actions, Established machine learning and rules
    Suggests or acts
    Suggests and acts
    Who controls it
    Professional services firm
    Availability
    Not stated

    Control: Not stated; routing rules for human decisions are not described.

    SourceGenpact Record-to-Report Suite
  3. Intercompany Assistant

    Agents align multi-entity transactions, reconcile goods receipts against financial records and answer balance questions.

    Kind
    Agents and automated actions, General-purpose assistant
    Suggests or acts
    Suggests and acts
    Who controls it
    Professional services firm
    Availability
    Not stated

    Control: Not stated.

    SourceGenpact Record-to-Report Suite

Questions to ask

For this offering

  • Which steps do agents or automation complete without a person approving them (for example posting entries, clearing reconciliations or releasing payments), and how are those thresholds set, changed and evidenced?
  • Is the suite delivered as software we operate, as part of a Genpact-run service, or both, and who configures matching rules and auto-posting thresholds?
  • Will you provide a SOC 1 Type 2 report for the outsourced finance processes, and does its scope include the AI platform and agents used to deliver them, including changes to models and prompts?
  • Is our data used to train, tune or improve any model, rule or shared knowledge base, including one used for other clients, and where is it processed and retained?
  • Which model providers and sub-processors sit behind the AI features, and how will you notify us when they change?
  • Can you show the population, baseline and period behind the outcome figures you publish, and will you commit to any of them in the contract as service levels?

From the diligence question set

  1. DQ-31 Who, by name and role, will design, build, test and run the AI in our finance process, and what AI has each of those people personally put into production?
  2. DQ-32 How does your firm decide that someone is qualified to build or govern AI for financial reporting, and who outside the delivery team reviews model risk before anything goes live?
  3. DQ-33 When the engagement ends, what will we own and be able to run ourselves, and what will work only with your firm? On what terms are your accelerators licensed afterward, and what does it cost to leave a run service?
  4. DQ-34 What will this cost in years two to five, including run fees, platform licenses, AI usage fees and change requests, and how does that compare with the savings case once the internal oversight roles we keep are counted?
  5. DQ-35 Do you receive fees, rebates, resale margins or other incentives from the software you are recommending, and do you, or will you, audit our financial statements?
  6. DQ-36 What results from clients like us can you show that someone other than your firm has verified, and by what method?