AI Strategy Consulting and Enterprise Solutions

As AI consultants, it’s our job to find and develop ways for artificial intelligence to enhance the productivity of your people, processes, and technologies. From automating manual tasks (like data entry) to personalising customer experiences, we advise you on what can be streamlined with AI and where, before developing the custom tools that make it happen.

AI consulting opens the door to faster decision-making, reduced manual errors, and more efficient business operations. See how your business could benefit by speaking with one of our AI consultants.

Looking to implement AI technologies across your entire organisation? That’s an enterprise AI strategy. Remember that it’s not just a roadmap for adopting technology (like generative AI and machine learning), but a way to solve challenges and deliver high-impact insights. In a world where artificial intelligence is driving and finding new efficiencies every day, the lack of an enterprise AI strategy puts you at risk of falling behind. With the right strategy, you’ll benefit from:

• Real ROI, from cost savings to increased revenue
• Scalable AI models that automate and optimise operations
• Compliant solutions that mitigate risks

At Oakland, we take an end-to-end approach to AI. Data is at the core of any successful AI solution – and that’s where we start. We make sure your data’s ship-shape, the strong foundation any AI model or tool needs for success. By linking your data foundations with governance and engineering, we develop AI initiatives that integrate with how work actually happens and how your people actually work. The result? Practical outcomes with measurable ROI.

AI is poised to solve countless challenges that businesses face today. We find they boil down to three areas: unlocking knowledge stores, scanning high-volume alarm and alert information, and freeing insights from data.

Some of the common use cases we’ve worked on for clients include:

• Cost control: Understand your supply chain better, identify disruptions and inventory changes quicker, and then act faster and smarter to solve problems as they arise. Then, with AI-enabled demand forecasting, solve future problems before they materialise.
• Knowledge management: Combining ‘lessons learned’ documents, incident reports, policies, guidelines, and project updates in one place, AI can be used to categorise and summarise sources of enterprise knowledge. Users can then access this information using a conversational interface, broadening the access and use of this valuable data.
• Product development: Improve the speed and effectiveness of product development with AI by gathering and summarising customer feedback and market insights, then quickly and seamlessly putting them into action.
• Fraud detection: Monitor your customers and accounts, flag suspicious activity, and automatically stop anomalous activity before it can harm your business.
• Customer experience: With AI-trained customer support systems, staff and chatbots can learn more about customer problems faster. They can also ably handle unstructured complaint and feedback data, reading, summarising and categorising it to handle feedback at scale. All this helps businesses serve up more valuable support, 24/7.
• Asset management: Gain a bird’s-eye view of the vehicles, machinery, and equipment used across your entire operation. AI can monitor how regularly they’re used, chart this against component and machine lifespans, and flag when maintenance is required, letting you act before the costly shutdown.
• Understand your customers: With AI-augmented customer segmentation, predictive analytics, and personalisation, generate smarter insights you can feed into more effective campaigns.

Find out more about Generative AI use cases for enterprise like these in our expert guide: How to find Generative AI use cases for enterprise.