Professional services firm
Cognizant
Cognizant, a Nasdaq-listed firm based in Teaneck, New Jersey, runs finance and accounting services that it says combine agentic AI and automation.
Function
- Ownership
- PublicSourceCognizant Technology Solutions Corporation, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
Class A common stock (CTSH) listed on the Nasdaq Stock Market; incorporated in Delaware, per its Form 10-K for 2025.
- Headquarters
- United StatesSourceCognizant Technology Solutions Corporation, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
- SEC reporting
- YesSourceCognizant Technology Solutions Corporation, 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 · Managed service
Cognizant Digital Finance and Accounting Services
Cognizant's 10-K says its business process outsourcing services build in AI use cases to run functions including finance and accounting. SourceCognizant Technology Solutions Corporation, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
Its finance and accounting page describes services combining agentic AI, intelligent decision-making, business process automation and global talent across source to pay, quote to cash, record to report and FP&A. SourceDigital finance and accounting solutions
Cognizant describes AI-driven execution with human-in-the-loop governance, citing an automaker engagement that it says reached over 90% touchless processing. SourceDigital finance and accounting solutions
Separately, Cognizant describes a platform, Neuro AI Enterprise Core, for governed multi-agent automation across ERP and SaaS systems; its finance page does not name it. SourceCognizant Neuro AI Enterprise Core
Where it fits
CoE analysis An outsourced finance and accounting service with an agent orchestration platform available alongside it.
CoE analysis The finance page does not name the platform, so which Cognizant or third-party tooling runs a given engagement is a question for the proposal.
What it does
- Offering type
- Managed serviceSourcesCognizant Technology Solutions Corporation, Annual Report on Form 10-K for the fiscal year ended December 31, 2025Digital finance and accounting solutions
- Workflow areas
- SourceDigital finance and accounting solutions
- Spend and procurement
- Accounts payable
- Receivables and collections
- Close
- Planning and FP&A
- Customer size
- Not stated
AI
- Kind of AI
- SourcesDigital finance and accounting solutionsCognizant Neuro AI Enterprise Core
- Agents and automated actions
- Established machine learning and rules
- Suggests or acts
- Suggests and actsSourcesDigital finance and accounting solutionsCognizant Neuro AI Enterprise Core
- Availability
- Not stated
The pages read describe the services and platform as offered; no availability terms.
- Models named
- Not stated
Control
- Who controls it
- Professional services firmSourceCognizant Neuro AI Enterprise Core
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 2
- Independently verified outcomes None read
- Pricing 1
- Known limitations None read
- Coverage
- Directory record
- Last verified
Delivery and lock-in
- Delivery model
- Service you rentSourcesCognizant Technology Solutions Corporation, Annual Report on Form 10-K for the fiscal year ended December 31, 2025Digital finance and accounting solutions
- Run service offered
- YesSourceCognizant Technology Solutions Corporation, Annual Report on Form 10-K for the fiscal year ended December 31, 2025
- Team qualifications published
- The page says the services combine agentic AI, intelligent decision-making and business process automation with "highly experienced global talent". It names no delivery roles and publishes no qualification criteria or team size. [C-5120]SourceDigital finance and accounting solutions
- IP and post-engagement license
- Not stated
Not stated in the sources read.
- Savings claims (firm-stated)
- SourceDigital finance and accounting solutions
Stated by the firm, not verified
60% improvement in productivity
Displayed under "What you could achieve". No baseline, population, period, or treatment of service fees is stated.
20%+ DSO improvement and 55% dispute reduction in quote to cash
No baseline, population, period, or treatment of service fees is stated.
ERP integration saves $25M (Manufacturing case-study tile)
A case-study headline under Featured work, on a tile labeled Manufacturing and separate from the "Streamlining functionality at PostNord" tile; the linked case study was not read, and the page does not say how the figure relates to finance and accounting services. No baseline, population, period, or treatment of service fees is stated.
- Alliance partners
- SourceDigital finance and accounting solutions
- Anthropic
- AWS
- Basware
- BlackLine
- Coupa
- Google Cloud
- ServiceNow
- Microsoft
- Oracle
- SAP
- Salesforce
- UiPath
- Workday
Names are read from partner-logo alt text in the Our partners section of the digital finance and accounting page. The page does not say that any partner's technology or model is used in the service.
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.
Agentic AI in F&A delivery
Agentic AI, intelligent decision-making and automation with human-in-the-loop governance; an automaker case automated invoice validation, billing and compliance.
- 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: Human-in-the-loop governance stated; specifics not stated.
SourceDigital finance and accounting solutionsNeuro AI Enterprise Core
AI orchestration platform connecting ERP and SaaS systems with governed multi-agent automation, a service catalog with MCP integrations, a process agent studio and a multi-agent accelerator.
- Kind
- Agents and automated actions
- Suggests or acts
- Acts
- Who controls it
- Professional services firm
- Availability
- Not stated
Control: Role-based access and policy enforcement are stated; who administers them in a client deployment is not stated. A cross-functional platform; the finance page does not name it.
SourceCognizant Neuro AI Enterprise Core
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 platforms, Cognizant's or third parties', would run our processes, and is Neuro AI Enterprise Core part of the finance and accounting service or a separate engagement?
- 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
- 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?
- 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?
- 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?
- 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?
- 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?
- DQ-36 What results from clients like us can you show that someone other than your firm has verified, and by what method?