Businesses are rushing headlong into adopting generative AI. But many are having to reinvent the wheel, over and over again. Each new AI solution can require its own environment, architecture, user interface and security protocols.
KPMG AVA is changing the game. Our gen AI platform provides a secure, unified space where clients can prove their use cases, and develop tools to revolutionise how they work – quickly, efficiently and safely.
AVA offers a powerful combination of capabilities, enabling you to transform your data analytics, business processes and software development:
AI innovation doesn’t stand still; neither does AVA. We’re developing new features that will take the platform’ impact to the next level:
All told, AVA gives you a ready-made starter pack for gen AI adoption. It puts the benefits of this transformative technology at your fingertips, saving you time, money and effort, while introducing new levels of insight and agility. And because it breaks down your workflows, it provides crucial transparency and explainability of your AI-supported processes.
AVA has the potential to drive millions of pounds in efficiencies for clients.
Here at KPMG, using the knowledge digitalisation and LLM functions alone is saving each user over 2 workings days per month, by automating some of their routine tasks.
It has also resulted in £76 million estimated annual savings, while freeing people up for higher-value work.
And that’s without accounting for the impact on workflows, and the benefits of more complex use cases like compliance.
AVA’s knowledge digitalisation framework slashes the time it takes to organise large amounts of data.
It can distil any volume of information into a knowledge base in two only hours: a job that can take several months without AI technology.
The tool then updates your knowledge bases daily as you feed new data into them.
AVA radically accelerates proof-of concept projects.
With its combination of as-a-service workflow and app development, you can build prototypes in 14 days, instead of four to six weeks.
What’s more, the process requires just two developers, rather than a whole team of cloud, data and software engineers – saving you time, resource and expense.
KPMG has used AVA to create Policy AI. This prototype app reads government policy documents; maps the business rules, actions, roles and responsibilities needed to follow them; and sets the KPIs required to monitor compliance.
Translating policy into practice used to take months: Policy AI completes 60% of the work in just five minutes. So your team can focus on reviewing and refining the outputs, instead of the laborious mapping process.
Preparing a hackathon traditionally involves a month or two of planning work. On AVA, we can get them up and running for clients in a couple weeks. Once multi-tenancy is launched, this will come down to a few days.
That sort of pace underpins a more agile approach to using hackathons, as you can respond quickly to new business requirements and challenges as they emerge.
Author: Louis Chan
