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Professional services firm

Wipro

Wipro, an NYSE-listed Indian firm, offers finance and accounting services and AI finance solutions, including Cognitive Finance and a Finance Studio.

2 offerings in the directory Last verified

Ownership
Public

American Depositary Shares listed on the New York Stock Exchange; incorporated in India, with principal executive offices in Bengaluru, per its Form 20-F for fiscal 2026.

SourceWipro Limited, Annual Report on Form 20-F for the fiscal year ended March 31, 2026
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 · Accelerator

Wipro Cognitive Finance

Directory recordLast verified Compare with othersBuild questions for this vendor

Wipro describes Cognitive Finance as infusing AI into the finance value stream to optimize operations and strengthen control and compliance across the finance and accounting value chain. SourceCognitive Finance

Listed capabilities include forecasting financials with a deep neural net on historical data, flagging contract discrepancies after extraction, detecting duplicate and fraudulent invoices and high-risk transactions, and answering vendor queries through a virtual conversational agent. SourceCognitive Finance

Wipro pairs it with an Enterprise Intelligent Quotient framework that scores a finance organization from 0 to 10 and sets a roadmap. SourceCognitive Finance

Where it fits

CoE analysis A set of AI use cases and an assessment method that Wipro brings to finance engagements, rather than a standalone product.

CoE analysis The anomaly and duplicate-invoice detection sits close to payment controls, so evidence of how flags are reviewed matters.

What it does

Offering type
Accelerator

Classified as an accelerator by CoE analysis; the page does not say how it is sold.

SourcesCognitive FinanceWipro Limited, Annual Report on Form 20-F for the fiscal year ended March 31, 2026
Workflow areas
  • Planning and FP&A
  • Accounts payable
  • Finance data and analytics
SourceCognitive Finance
Customer size
Not stated

AI

Kind of AI
  • Established machine learning and rules
  • Agents and automated actions
SourceCognitive Finance
Suggests or acts
Suggests and acts
SourceCognitive Finance
Availability
Not stated

The page describes the solution as offered; no availability terms.

Models named
Not stated

Control

Who controls it
Professional services firm
SourceWipro Limited, Annual Report on Form 20-F for the fiscal year ended March 31, 2026

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 2
  • 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
Wipro's 20-F says it has invested in IP across business solutions, products, platforms and service accelerators, and that "our customers generally own the IP rights in the software and solutions that we develop for them under customer contracts." Neither the filing nor the offering page states licensing terms for Wipro's own accelerators after an engagement. [C-5122]
SourceWipro Limited, Annual Report on Form 20-F for the fiscal year ended March 31, 2026
Savings claims (firm-stated)
Not stated

Not stated in the sources read. The page says the solution supports "cost savings" but gives no figure.

Alliance partners
Not stated

Not stated in the sources read.

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. Neural-net financial forecasting

    Predicts future financials with a deep neural net using historical data.

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

    Control: Not stated.

    SourceCognitive Finance
  2. Anomaly detection

    Detects anomalies such as duplicate and fraudulent invoices, late payments and high-risk transactions.

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

    Control: Not stated.

    SourceCognitive Finance
  3. Contract extraction and discrepancy flags

    Flags discrepancies in contracts after extracting important information.

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

    Control: Not stated.

    SourceCognitive Finance
  4. Virtual conversational agent for vendor queries

    Automated resolution of vendor and supplier queries.

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

    Control: Not stated.

    Kind: Kind is CoE analysis: a task-specific agent that resolves vendor queries, not a general-purpose assistant.

    SourceCognitive Finance

Questions to ask

For this offering

  • Is Cognitive Finance delivered as part of a Wipro-run service, licensed to us, or used only during an engagement?
  • 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 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?
  • How is the E-IQ score calculated, and is the scoring method shared with us?

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?

Offering · Accelerator

Wipro AI & Gen AI Finance Studio

Directory recordLast verified Compare with othersBuild questions for this vendor

Wipro describes its AI & Gen AI Finance Studio as positioning AI as a co-worker in the CFO's office. SourceAI & Gen AI Finance Studio

Generative AI uses it lists include answering internal and external queries, extracting and classifying information from contracts and policies, ad hoc database search, and writing commentary on earnings calls, board reports, variance analysis and cash flow statements. SourceAI & Gen AI Finance Studio

Wipro says its generative AI offerings are governed by the WeGA framework, with responsible AI controls and guardrails such as fine-tuning, hallucination reduction and query rephrasing. SourceAI & Gen AI Finance Studio

The page also presents AI agents as teammates that take action. SourceAI & Gen AI Finance Studio

Where it fits

CoE analysis A set of generative AI and agent use cases for the CFO's office rather than a licensed product, on the evidence of the page.

CoE analysis AI-written commentary for earnings calls and board reports is disclosure-adjacent, so review and sign-off evidence matters more than speed.

What it does

Offering type
Accelerator

Classified as an accelerator by CoE analysis; the page does not say how it is sold.

SourcesAI & Gen AI Finance StudioWipro Limited, Annual Report on Form 20-F for the fiscal year ended March 31, 2026
Workflow areas
  • Reporting and disclosure
  • Planning and FP&A
  • Finance data and analytics
SourceAI & Gen AI Finance Studio
Customer size
Not stated

AI

Kind of AI
  • General-purpose assistant
  • Agents and automated actions
SourceAI & Gen AI Finance Studio
Suggests or acts
Suggests and acts
SourceAI & Gen AI Finance Studio
Availability
Not stated

The page describes the studio as offered; no availability terms.

Models named
Not stated

Control

Who controls it
Professional services firm
SourceAI & Gen AI Finance Studio

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 3
  • 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
Wipro's 20-F says it has invested in IP across business solutions, products, platforms and service accelerators, and that "our customers generally own the IP rights in the software and solutions that we develop for them under customer contracts." Neither the filing nor the offering page states licensing terms for Wipro's own accelerators after an engagement. [C-5122]
SourceWipro Limited, Annual Report on Form 20-F for the fiscal year ended March 31, 2026
Savings claims (firm-stated)
Not stated

Not stated in the sources read.

Alliance partners
  • SAP
  • Infor
  • ThoughtSpot
  • Incorta
  • Kognitos
  • BlackLine
  • ServiceNow
  • Salesforce
  • Pega

Logos in the Technologies & Partnerships row of Wipro's finance and accounting practice page, not the Studio page. Three have alt text (ThoughtSpot, Incorta, Kognitos); Salesforce has a title attribute; SAP, Infor, BlackLine, ServiceNow and Pega are identified from image file names.

SourceWipro Finance Transformation Solution for Modern CFO Strategy (Finance and Accounting)

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. Generative AI commentary drafting

    Writes commentary on earnings calls, board reports, variance analysis and cash flow statements.

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

    Control: Not stated.

    SourceAI & Gen AI Finance Studio
  2. Document extraction and classification

    Extracts and classifies information from contracts, policies and other documents.

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

    Control: Not stated.

    SourceAI & Gen AI Finance Studio
  3. Query response generation

    Generates responses for internal and external queries, including sentiment analysis.

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

    Control: Not stated.

    Suggests or acts: The page does not say whether responses are reviewed before they are sent.

    SourceAI & Gen AI Finance Studio
  4. AI agents

    Presented as high-performing teammates that take action.

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

    Control: Not stated.

    SourceAI & Gen AI Finance Studio

Unclear or conflicting statements

Where the sources are unclear or disagree, both statements are shown with their links.

WeGA / WEGA description

Statement A

Finance Studio page: "Our GenAI offerings are governed by the WeGA framework, offering responsible AI controls and guardrails"

wipro.com/business-process/finance-and-accounting/ai-gen-ai-finance-studio/

Statement B

Form 20-F for fiscal 2026: "Build AI, powered by WEGA, our agentic platform for all build & transform"

sec.gov/Archives/edgar/data/1123799/000119312526253514/wit-20260331.htm

Unclear whether these name the same thing; recorded, not resolved (D-143).

Recorded, not resolved (D-143) · Both statements are published as found; CoE draws no inference about which governs.

Questions to ask

For this offering

  • How is generated commentary for earnings calls and board reports reviewed, approved and evidenced before use?
  • Is WeGA a governance framework, an agentic platform, or both, and which controls does it apply to the finance use cases?
  • 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?
  • 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?

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-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?