GenAI consulting service

GenAI consulting service
Helping your business navigate the AI landscape

Generative AI (GenAI) is making a significant impact in the business world and is expected to contribute around USD15.7tn to the global economy by 2030. This transformative technology is already delivering tangible changes in various business functions, from operations to risk management.

At PwC, we understand the transformative power of AI and its potential to change the way businesses operate. Our investments in technology, collaborations, training engagements, and the services offerings to clients, have established PwC as a global leader in AI implementation.

We are human-led, tech-powered and committed to guide your business through every step of the GenAI adoption journey, from exploring to execution.

Working closely with you to understand your unique business needs, potential risks and shaping the vision of your GenAI journey.

Exploring

Mapping your journey by identifying and focusing on potential areas before embarking on developing and delivering an AI model.

Charting the AI path forward

Delivering a holistic and tailored framework for GenAI use cases, accompanied by a project plan covering systems, data, people and investments.

Execution

Guiding your GenAI journey end-to-end

Getting the most out of AI through ‘AI factory’ approach

GenAI offers extensive advantages throughout your business with remarkable repeatability. Its effectiveness is not confined to individual projects but extends as an organisational capability. At PwC, we guide our clients through the tangible concept of ‘AI factory’. Here are guidelines to consider when implementing GenAI into your business.

1. Adopt GenAI quickly and at scale

Use GenAI’s training and deployment patterns to streamline processes across your value chain. A single deployment pattern can be applied to various functions or lines of businesses. Start with few use cases and learn from experiences to move quickly in adoption.

2. Select AI model and organise data

Many providers offer GenAI ‘foundational models’ (models pre-trained with massive public data). Once selected, collaborate with providers to deploy a private version for your organisation. Let specialists embed your data into the GenAI model to give staff access to their expertise. To address data and privacy concerns, a business must upgrade its data governance and cybersecurity for GenAI’s potential risks.

3. Staff people for GenAI factory role

For successful and fast execution of GenAI, it is recommended that businesses identify and assess use cases to select staff based on the line of business. PwC has identified 6 distinct roles, which includes pod leader, business analyst, prompt engineer, model mechanic, data engineer and data scientist.

4. Secure GenAI and maintain ROI growth

After your GenAI factory is operating, it’s time to focus on building trust and assessing performance, risks and outputs. PwC offers a ‘Responsible AI’ framework that covers strategy, controls and responsible practices to address risks such as bias, misleading information and hallucinations.

Below are resources highlighting industry recognition of our GenAI expertise, our key GenAI investments and offerings, and key case studies where we’ve leveraged the power of Microsoft, our Alliance Partner.

Helping your business navigate the AI landscape