Genpact

genpact.com

Genpact is broader than an IT consultancy: its business encompasses running and transforming enterprise operations, with Advanced Technology Solutions and Business Services identified separately. Buyers can engage it for technology advice and system implementation, rather than only purchasing software or research. Its AI delivery credentials include explicit commercial engineering offerings and customer projects involving customized language models and predictive models. Procurement should distinguish advisory work, implementation, product licensing, business-process operations, and ongoing technical support rather than treating these as one service. ^[1] ^[2] ^[3] ^[4] ^[5] ^[6]

Services and delivery

AI strategy and responsible-AI advisory

Advisory. Advises on strategic and responsible AI adoption, including AI centers of excellence and responsible-AI frameworks covering bias detection, fairness, and risk assessment. Buyers should confirm the assessment outputs and governance responsibilities included in an engagement. ^[2]

AI innovation workshops and roadmaps

Advisory. AI Value Studio offers three innovation workshops to shape AI solutions and roadmaps. This is an advisory component, distinct from the offering’s prototype and minimum viable product development work. ^[7]

Generative AI application implementation

Implementation. Builds customized enterprise language-model applications and moves pilots toward production. Documented techniques include prompt tuning, few-shot learning, and fine-tuning for business tasks, with infrastructure orchestration and continuous integration/deployment described within the AI implementation scope. ^[3]

AI prototypes, proofs of concept, and MVP development

Implementation. Develops interactive mock-ups, prototypes, focused proofs of concept, and production-ready minimum viable products through AI Value Studio. Reusable accelerators, templates, playbooks, and governance toolkits support the engagement; acceptance criteria and post-deployment support require confirmation. ^[7]

Predictive machine-learning implementation

Implementation. A specialty-underwriting engagement documents delivery of two risk-prediction models, source-system connections, a cloud blueprint, model versioning, and a dashboard incorporating underwriter feedback. The implementation used the customer’s AWS environment. ^[4]

ServiceNow procurement workflow implementation

Implementation. Implements procurement workflows and enterprise integrations. For Dropbox, documented work covered ServiceNow Sourcing and Procurement Operations, self-service intake, workflow orchestration, process standardization, and an Oracle ERP integration. This engagement does not establish delivered AI functionality. ^[8]

Data strategy advisory

Advisory. Advises on data strategy and the foundations needed for reliable enterprise data and reusable data products. The service page positions strategy separately from platform implementation; ordinary data strategy is not, by itself, an AI service. ^[9]

Data engineering and platform implementation

Implementation. Builds data foundations and platforms, improves data reliability, and enables reusable data products. Documented scope includes data engineering, intelligent data management, and data-product enablement, without establishing a particular platform stack in the supplied notes. ^[9]

Managed data services

Managed services. Offers managed services within its data-services portfolio. The supplied evidence establishes commercial availability but does not specify operating responsibilities, service levels, or coverage hours. ^[9]

Finance and accounting business services

Non-technical service. Provides managed accounting and finance operating-model consulting across accounts payable, invoice-to-cash, record-to-report, and financial planning. These business services are not classified here as technology delivery merely because technology may support the work. ^[6]

Genpact AP Suite

Software product. A product comprising AP Capture, AP Advance, AP Trace, and AP Assist for invoice intake, matching, exceptions, duplicate detection, and supplier queries. Product availability is separate from implementation services, and displayed benefit estimates should not be treated as achieved results. ^[5]

AI Maestro

Software product. An enterprise AI platform for building, deploying, and governing agentic solutions. Compatibility and component substitution depend on technical requirements, architecture, and integration; the platform description does not establish a separately scoped implementation contract. ^[10]

The gen-AI countdown report

Research. Research published with HFS Research on July 24, 2024, drawing on perspectives from 550 senior leaders. The report is thought leadership, not a technology delivery service. ^[11]

Company details

Technology and platforms

Project evidence includes AWS for predictive underwriting models and PaLM 2 for a cloud provider’s bill-of-materials application. These identify technologies used in reported engagements, not guaranteed choices for a new project. Separately, Volkswagen Financial Services deployed Cora Knowledge Assist for multilingual enterprise knowledge conversations supporting customer-service agents. ^[4] ^[12] ^[13]

Industries and client fit

Documented use cases span reinsurance underwriting, consumer-healthcare regulatory intelligence, cloud-provider component data, financial-services customer care, and procurement. These examples are most useful for buyers evaluating comparable workflows; several customers are anonymous, limiting reference validation from the published material alone. ^[4] ^[14] ^[12] ^[13] ^[8]

Track record

Genpact reports that Dropbox reduced procurement cycle time by more than 50% within eight weeks after launch. In a separate cloud-provider engagement combining NLP, OCR, machine learning, language-model enrichment, and human validation, it reports reducing part-number collection from months to weeks. ^[8] ^[12]

For an unnamed consumer-healthcare company, Genpact describes a six-week regulatory-intelligence pilot with multilingual extraction, dashboards, newsletters, and a searchable portal. It reports reducing report preparation from weeks to hours. This demonstrates application delivery, not legal advice or a guarantee of regulatory compliance. ^[14]

Scope and limitations

This profile uses only the supplied research notes. Reported customer outcomes have not been independently verified, and several cases anonymize customers.
Some service descriptions are high-level. Detailed advisory outputs, production acceptance criteria, technical support responsibilities, and managed-service coverage require confirmation.
The short Cora Knowledge Assist case does not establish integration ownership, model architecture, support commitments, or commercial packaging.
The supplied evidence does not establish an unrestricted standalone infrastructure-services scope. Technologies used in individual cases should not be assumed to be current recommendations for new projects.

Questions to ask

Which deliverables and acceptance criteria separate advisory, proof of concept, production implementation, and ongoing support?
Can Genpact provide references for comparable workflows, data sensitivity, deployment environments, and operating requirements?
Who owns integration, model evaluation, production monitoring, incident response, and subsequent model changes?
What data-use, intellectual-property, model-licensing, and product-licensing terms apply?
Which responsibilities belong to Genpact, the customer, and platform vendors, and what service levels apply after launch?

Overview