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Professional services firm

Capgemini

Capgemini, listed on Euronext Paris, offers Frictionless Finance: AI-augmented order-to-cash, purchase-to-pay and record-to-analyze operations.

1 offering in the directory Last verified

Ownership
Public

Capgemini SE shares trade on Euronext Paris (primary exchange) and are in the CAC 40, per its investor capital-structure page; it does not file 10-K or 20-F reports with the SEC.

SourcesCapital structure (Capgemini Investors)EDGAR submissions record for Capgemini SE/ADR (CIK 0001688228)
Headquarters
France

Based on the Paris registered office of Capgemini Service SAS, which coordinates Capgemini SE's websites, and Euronext Paris as the primary listing; the registration document was not read.

SourceTerms of use (capgemini.com, US)
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 · Managed service

Capgemini Frictionless Finance (AI.Controllership, AI.Payables, AI.Receivables)

Directory recordLast verified Compare with othersBuild questions for this vendor

Capgemini describes Frictionless Finance as AI-augmented order-to-cash, purchase-to-pay, record-to-analyze and analytics, delivered through an AI-enabled framework, an AI-augmented workforce and AI-driven operating models. SourceFrictionless Finance Transformation

It makes use of Capgemini's Digital Global Enterprise Model (D-GEM), which Capgemini calls an AI-based business transformation platform. SourceFrictionless Finance Transformation

AI.Controllership infuses AI into accounting, reconciliation, close, reporting and compliance to enable continuous accounting and close. SourceAI.Controllership

AI.Payables and AI.Receivables apply AI to exception handling in payables and to cash and collections. SourcesFrictionless Finance TransformationAI.Receivables

Where it fits

CoE analysis A finance operations service packaged into named AI solutions by process tower, presented as a Capgemini-run service rather than as software.

The benefit figures are stated as 'up to' potentials and, for receivables, are worded inconsistently across Capgemini's own pages. SourceFrictionless Finance Transformation

What it does

Offering type
Managed service
SourceFrictionless Finance Transformation
Workflow areas
  • Receivables and collections
  • Accounts payable
  • Close
  • Reconciliation
  • Reporting and disclosure
  • Finance data and analytics
SourcesFrictionless Finance TransformationAI.ControllershipAI.Receivables
Customer size
Not stated

AI

Kind of AI
  • Established machine learning and rules
  • Agents and automated actions
SourcesFrictionless Finance TransformationAI.Controllership
Suggests or acts
Not stated
Availability
Not stated

The pages read describe the solutions as offered; no availability, edition or regional terms.

Models named
Not stated

Control

Who controls it
Professional services firm
SourceFrictionless Finance Transformation

Commercial

Pricing model
Not stated
Public price
Not stated

Evidence

Independent outcomes
None found in the sources read.
Sources read
  • Vendor-stated 6
  • Independent market evidence None read
  • 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
The pages profile four leaders by role (undated author biographies): the Global Head of the IFAO practice (over 15 years in F&A consulting and BPO service delivery), the Chief Innovation Officer of Capgemini's Business Services (over three decades advising on technology adoption), the Record to Analyze Global Process Owner (over 20 years in finance and accounting, the last 12 transforming clients' processes and operations) and the Forecast to Cash Global Process Owner (has led major C2C projects). They publish no qualification criteria or team size for delivery teams. [C-5111] [C-5114] [C-5117]
SourcesFrictionless Finance TransformationAI.ControllershipAI.Receivables
IP and post-engagement license
Not stated

Not stated in the sources read.

Savings claims (firm-stated)

Stated by the firm, not verified

  • up to 50% improvement in days sales outstanding (solution level)

    Stated as an "up to" potential benefit. The same page and the AI.Receivables page give 40% for AI.Receivables (recorded under conflicts). No baseline, population, period, or treatment of service fees is stated.

  • up to 40% improvement in days sales outstanding (AI.Receivables)

    Footnoted: "These outcomes are dependent on the maturity level of your finance organization." [C-5115] No baseline, population, period, or treatment of service fees is stated.

  • up to 35% increase in efficiency (AI.Receivables)

    Footnoted as dependent on the maturity level of the finance organization. No baseline, population, period, or treatment of service fees is stated.

  • up to 50% auto-certifications and reconciliation effort reduction (AI.Controllership)

    Footnoted: "These outcomes are dependent on the maturity level of your finance organization." [C-5113] No baseline, population, period, or treatment of service fees is stated.

  • up to 70% reduction of close and reporting effort (AI.Controllership)

    Footnoted as dependent on the maturity level of the finance organization. [C-5113] No baseline, population, period, or treatment of service fees is stated.

  • up to 25% increases in early payment discounting (AI.Payables)

    Stated as a "measurable potential benefit". No baseline, population, period, or treatment of service fees is stated.

  • up to 50% reductions in manual vendors master data management (AI.Payables)

    Stated as a "measurable potential benefit". No baseline, population, period, or treatment of service fees is stated.

SourcesFrictionless Finance TransformationAI.ReceivablesAI.Controllership
Alliance partners
  • HighRadius

Heading of an article tile dated March 21, 2023 on the AI.Receivables page; the article was not read, and the page states no terms.

SourceAI.Receivables

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. AI.Controllership

    Infuses AI into accounting, reconciliation, close, reporting and compliance; up to 80% automatic posting of journal entries and a one-to-two-day close are stated.

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

    Control: Not stated.

    Kind: Kind is CoE analysis: the pages do not use the word agent; agents-actions rests on the stated automatic posting of journal entries.

    SourceAI.Controllership
  2. AI.Payables

    Infuses AI into accounts payable to eliminate repetitive tasks such as exception handling and insight dashboard creation.

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

    Control: Not stated.

    SourceFrictionless Finance Transformation
  3. AI.Receivables

    Infuses AI into cash and collections processes; up to 90% increase in automatching for cash application is stated.

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

    Control: Not stated.

    SourceAI.Receivables
  4. D-GEM

    Capgemini's Digital Global Enterprise Model, described as an AI-based business transformation platform underpinning the solution.

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

    Control: Not stated.

    SourceFrictionless Finance Transformation

Unclear or conflicting statements

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

AI.Receivables days sales outstanding benefit

Statement A

AI.Receivables page: "Up to 40% improvement in days sales outstanding"

capgemini.com/solutions/aireceivables/

Statement B

Frictionless Finance page, AI.Receivables section: "up to 40% increases in days sales outstanding"

capgemini.com/us-en/services/enterprise-management/intelligent-business-operations/frictionless-finance/

Recorded, not resolved (D-143). The conflict is the wording: "improvement" on the AI.Receivables page, "increases" on the Frictionless Finance page; an increase in days sales outstanding would be adverse, and the pages do not explain the wording. The Frictionless Finance page's separate "up to 50% improvement in days sales outstanding" is a solution-level figure, a difference of scope rather than part of the conflict.

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

Questions to ask

For this offering

  • 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?
  • 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 technology platforms (Capgemini's or third parties') deliver AI.Controllership, AI.Payables and AI.Receivables in our scope, and who licenses them?
  • 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?
  • 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?
  • If we end the engagement, which assets, configurations, agent definitions and data do we keep, and in what form?

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?