You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
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[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
New Frontier: Decoding Big Four's AI odyssey - Banking & Finance News | The Financial Express

The Big Four — Deloitte, EY, PwC and KPMG—have robust AI initiatives to improve their services and offer advanced solutions to clients. Sudhir Chowdhary  takes a look at their AI gameplan.

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New Frontier: Decoding Big Four's AI odyssey

New Frontier: Decoding Big Four’s AI odyssey

The Big Four — Deloitte, EY, PwC and KPMG—have robust AI initiatives to improve their services and offer advanced solutions to clients. Sudhir Chowdhary takes a look at their AI gameplan.

Written by
Sudhir Chowdhary

October 14, 2024 13:44 IST

image: Reuters

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The integration of AI in accounting is not just a technological advancement; it marks a paradigm shift in how financial data is scrutinised, audited and reported. The Big Four — Deloitte, EY, PwC and KPMG—have robust AI initiatives to improve their services and offer advanced solutions to clients.
Sudhir Chowdhary
takes a look at their AI gameplan.

DELOITTE INDIA
Prashanth Kaddi, Partner

AI brings a heap of benefits

At Deloitte, there is a strong focus on AI to improve business outcomes and key areas of operations. “We are boosting an enterprise-wide adoption of AI and GenAI across our functions such as tax, assurance, human capital, cyber and more,” says Prashanth Kaddi, partner, Deloitte India. “We have worked on a plethora of use cases across banking, ecommerce, CPG, retail, automobile, and government sectors along with our partnership with many alliances and tech firms to get hardware and software support to build these solutions,” he points out.

Also Read
Banks may face NIM compression amid slower credit growth

For one of its banking clients, Deloitte has developed a GenAI-based customer feedback assist tool to help them in their journey to improve their services. In another use case involving automotive industry, Deloitte has implemented a GenAI solution that transformed their approach to data management and accessibility, ultimately enhancing supply chain efficiency. The firm has also helped a leading global computer services company to automate and craft personalised messages using GenAI-powered template creator for customer queries to boost customer experience by automating routine tasks.
Deloitte has trained more than 120,000 professionals via the Deloitte AI Academy and is investing more than $2 billion in global technology learning and development initiatives to boost skills in AI and other areas.

EY INDIA
Rakesh Kaul Punjabi, partner & AI Activation Leader
Innovating for human impact

A prolific user of technology, EY has embedded AI into many of its solutions. “AI has become synonymous with the EY brand in the minds of our clients, and we’re today perceived as a pioneer in being able to deliver AI-led transformation,” says Rakesh Kaul Punjabi, partner and AI Activation Leader, EY India. The firm sees sectors such as banking and financial services, manufacturing, healthcare, technology & telecom and retail experiencing greater adoption of AI technologies. Its AI platform, EY.ai, connects the vast business experience of EY teams in strategy, transformation, risk, assurance and tax with EY technology platforms and AI capabilities in supporting clients to confidently adopt AI while addressing its challenges. “We’ve taken hundreds of home-grown AI products and solutions to our clients across a host of industries & sectors over the past few years led by EY Fabric, our core platform, AI Space & the EY Generative AI Studio,” says Punjabi. The firm launched ‘AIVarsity’ to upskill 40,000+ Indian employees in AI, from beginners to experts. “Our GenAI platform EYQ, used by 200k+ staff monthly, has processed 91 billion tokens and 33 million prompts since launch,” he informs.

Also Read
Artificial Intelligence: Transforming Banking with Smart Innovations

PWC INDIA

Manpreet Singh Ahuja, chief digital officer

Building intelligence inside

PwC is charting a bold AI strategy that reshapes how it operates, serves clients, and empowers employees. It has developed over 30 AI products and solutions across sectors, addressing areas like finance, tax, cybersecurity, and customer experience. For instance, PwC’s Intelligent Spend Management Suite, with its nine proprietary AI agents, is streamlining value chains for CFOs. Its AI-powered tax suite helps manage tax compliances, while customer service platforms and cybersecurity solutions enhance both experience and safety. “Key areas seeing strong AI adoption include finance transformation, legal, contract management, and data analytics,” says Manpreet Singh Ahuja,
TMT
sector leader and CDO at PwC India. The firm is also making significant investments in AI partnerships, including collaborations with tech giants. Its GenAI Experience Lab in Gurgaon offers clients a glimpse into AI’s potential through cutting-edge exhibits. “With pervasive usage of AI, finance functions can identify and address potential risks related to contracts, non-reconciling items and tax,” feels Ahuja. “Gen AI solutions can help increase the literacy of accounting standards and best practices by being an intelligent chat buddy answering scenario questions on IndAs, IFRS, US GAAP, etc. The firm has over 12,000 active GenAI tool users,” he adds.

KPMG INDIA

Amit Patnaik, Partner

A problem-solving approach for client benefit

KPMG in India has been an early adopter of AI and GenAI across its service lines, leveraging these technologies to enhance client services. “In our advisory services, we use AI to address business challenges. While AI is not a panacea, it can significantly improve operations across various domains such as sales, marketing, manufacturing, supply chain, finance, and HR,” says Amit Patnaik, partner, KPMG in India. “Our strategy involves identifying problems across the value chain and developing customised AI solutions. This problem-focused approach has helped clients achieve benefits like improved market share and revenue, cost reductions and better margins, better safety and working conditions, and improved customer satisfaction,” he adds.

KPMG in India is witnessing strong AI adoption across all its services. According to Patnaik, AI and GenAI are revolutionising accounting work by improving accuracy and reducing workload. “Significant investments have been made to build our AI capabilities, and we actively engage with technology startups for their offerings in this space and specific solutions aligned to our needs and industry bodies for insights,” he informs. KPMG is also investing in making platforms that democratise the use of AI for problem-solving and platforms that accelerate the deployment and scaling of AI solutions. “Internally, our technology service teams focus on continuous upskilling and certifications, while strategy and business teams learn to solve business problems with AI and communicate these solutions effectively to clients,” Patnaik adds.

TOPICS
Artificial Intelligence
banking sector
Banking, Financial Services and Insurance (BFSI)
This article was first uploaded on October fourteen, twenty twenty-four, at forty-four minutes past one in the afternoon.
© The Indian Express (P) Ltd

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</reference>

<statements>
1. Major international consulting firms—including Accenture, McKinsey, BCG, Bain, IBM Consulting, Capgemini, and the Big Four (Deloitte, PwC, EY, KPMG)—have moved beyond experimentation to large-scale, multi‑billion‑dollar programs to embed AI and especially generative and agentic AI into their products, services, delivery models, and internal operations. Common themes include: sizeable capital commitments to AI practices, creation of dedicated AI units and labs, broad talent upskilling programs, and development of repeatable industry solutions for clients across sectors such as financial services, retail, healthcare, telecom, and manufacturing.
2. The Big Four—Deloitte, EY, PwC, and KPMG—have established robust AI initiatives aimed at enhancing tax, assurance, consulting, and advisory services and delivering advanced AI solutions to clients across banking, retail, CPG, automotive, government, and more. Deloitte is boosting enterprise‑wide adoption of AI and generative AI across functions such as tax, assurance, human capital, and cyber, with investments exceeding $2 billion in global technology learning and development, including the Deloitte AI Academy. PwC US has committed $1 billion over three years to expand and scale AI and generative‑AI capabilities, partnering with Microsoft and OpenAI and upskilling 65,000–75,000 US employees via initiatives like My AI.
3. Deloitte has delivered gen‑AI solutions such as customer feedback assistants for banking, data‑management and accessibility tools for automotive supply chains, and gen‑AI‑powered template creation for personalized messages for a global computer services company. PwC has developed more than 30 AI products across finance, tax, cybersecurity, and customer experience, including an Intelligent Spend Management Suite with nine AI agents for CFOs and AI‑powered tax suites; it is actively engaged in generative‑AI work with 950 of its top 1,000 US consulting clients. PwC’s agreement with OpenAI makes it OpenAI’s first reseller for ChatGPT Enterprise and the largest user of the product; the firm has identified over 3,000 internal GenAI use cases and is embedding generative AI into its own platforms and client services.
4. EY has launched EY.ai, an AI platform connecting its business experience with technology and AI capabilities, leveraging home‑grown AI products built on EY Fabric, AI Space, and EY Generative AI Studio, and focusing on sectors such as banking, manufacturing, healthcare, and retail. KPMG uses AI and generative AI across advisory services to improve operations in sales, marketing, manufacturing, supply chain, finance, and HR, investing in platforms that democratize AI for problem‑solving and accelerate deployment and scaling, while collaborating with startups and industry bodies for AI solutions and insights.
5. Deloitte has trained more than 120,000 professionals through its Deloitte AI Academy, which offers hands‑on, experiential courses in AI, generative AI, and agentic AI, and an Academy for AI that provides tailored upskilling programs for client organizations and Deloitte’s own workforce. PwC’s My AI program has delivered AI upskilling to 95% of its US employees, who collectively dedicated more than 360,000 hours to AI skills training, including responsible‑AI, GenAI prompting, and leadership in the age of AI. EY’s AI Academy supports personalized and immersive AI learning embedded in the flow of work, designed to transform culture and capabilities around responsible AI adoption. KPMG is investing in platforms and training that make AI accessible across its services, although public detail is more qualitative than quantitative.
6. Across these firms, headline investments are substantial: Accenture’s $3 billion Data & AI program; PwC US’s $1 billion generative‑AI commitment; Deloitte’s multibillion technology learning and development spend; and IBM’s internal Client Zero transformation delivering $4.5 billion in productivity gains. These figures signal a strategic view of AI as a core growth and productivity engine rather than a peripheral capability.
7. Most firms have developed proprietary AI platforms (e.g., Accenture myWizard/AI Refinery, McKinsey QuantumBlack/Lilli, BCG GAMMA/AI@BCG, Bain’s AI‑as‑a‑Service, IBM watsonx, EY.ai, PwC’s AI Studio, Capgemini RAISE and Resonance) and combine them with alliances to hyperscalers and foundation‑model providers (Microsoft, Google Cloud, OpenAI, AWS, Anthropic, etc.). Service lines increasingly bundle strategic advisory with implementation, data‑platform modernization, and managed AI operations, often delivered via centers of excellence and industry‑specific accelerators.
8. Common AI application themes include customer‑service transformation (virtual assistants, contact‑center optimization), marketing and personalization, operational optimization in supply chains and procurement, finance and tax automation, and software‑engineering acceleration. Industry‑specific cases span banking and insurance (mortgage support platforms, risk and pricing tools), telecom (call‑center AI, digital assistants), retail and CPG (pricing, inventory, and customer experience), and public‑sector and healthcare use cases.
9. Strategically, firms are emphasizing responsible AI—governance frameworks, ethics, bias mitigation, data privacy, and regulatory compliance—often as a distinct advisory offering. Agentic AI (autonomous or semi‑autonomous AI agents that act across systems) is emerging as a focal point in Accenture’s agentic‑AI investments, Capgemini’s Resonance/RAISE frameworks, Deloitte’s and PwC’s advanced automation offerings, and IBM’s orchestration models. Over the next several years, advisory services around AI regulation, auditing, and compliance are expected to become significant revenue streams for these firms.
10. Global consulting firms are converging on a model where AI—particularly generative and agentic AI—underpins both how they serve clients and how they run their own businesses. Large capital investments, proprietary platforms, extensive ecosystems, industry‑specific solutions, and workforce‑scale upskilling programs together position these firms as central orchestrators of AI adoption in enterprises worldwide. For organizations engaging these firms, the key differentiators lie in depth of proprietary tooling, strength of ecosystem partnerships, maturity of governance frameworks, and demonstrated case‑study outcomes across relevant industries.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.