In an era of rapid technological advancement and increasing complexity, businesses are under pressure to deliver innovative solutions at unprecedented speeds. The challenges they face often span multiple domains, from technological integration to regulatory compliance and customer experience. No single discipline holds all the answers. To tackle these multifaceted problems, companies are turning to interdisciplinary teams: groups that bring together individuals with diverse backgrounds and skill sets to collaborate on shared goals.

As a CEO who's seen their fair share of consulting engagements, I've learned what truly drives value. If you're a consulting firm looking to work with us, here's what I really, really want:

Understanding. Collaboration. Results

In today’s competitive environment, strategic decisions that shape the future of a company must be grounded in data and robust and rigorous analysis, not just assumptions and intuitions. For leaders, research enables decisions to be data-driven, forward-thinking, and aligned with market conditions. Whether it is expanding into new markets, developing new product lines, or enhancing operational efficiencies, research is not just a support function — it is a strategic asset.

There is widespread expectation that AI will transform business’s product and service offerings, strategy and operating models.

Preparing the workforce and the organisation’s data to enable and embrace the opportunities offered by AI will take some time. The sooner organisations start their AI adoption journey the better it will be for them — an opportunity to gain competitive advantage.

Two inter-related drivers have highlighted the need for corporates to fundamentally re-evaluate, re-think and re-plan their strategy to create sustainable value. These are: 1. Action on Climate Change and 2. Ineffectiveness of ESG (Environmental, Social, Governance)

In this three-part series, koralli unravels the complex relationship between artificial intelligence (AI) and intellectual property (IP), exploring what it means for you and your business. We’ll guide you through the various intersections between these two resource domains, building a comprehensive understanding of the challenges and opportunities that lie ahead. By the end, you'll be equipped with six actionable strategies to minimise risks associated with Generative AI and optimise your IP assets in this rapidly evolving landscape.

Fast-growing startups are often building the plane while flying it, but the most successful ones are those that are genuinely focused on delivering value to all of their key stakeholders. Too often, we’ve seen founders consumed by the wrong things — ones that might be rewarding in the near-term, but are insignificant and potentially detrimental for long-term sustainable success. We’ve all seen it and we know how those stories end.

Forbes, Apr 2021

It’s widely recognised that one of the top challenges for startups is hiring the best resources and building a startup team. The best resources are typically, say 10x, more valuable to an organisation compared to an “average” team member.

Whilst this diagnosis is increasingly recognised—that current LLM and GAI training methods may infringe upon large swathes of intellectual property, as discussed in part one of this series—the path to a solution remains elusive. The risks to developers, businesses, and end-users are still not fully understood, and as new advances in AI are made daily, emerging uncertainties must be navigated.

Discussions are an essential part of life and business. They are the modem of exchange and the bed from which great ideas grow. We take part in them daily, yet we do not recognise they are an art. All of us discuss, but few of us discuss well.

We receive information relentlessly. The acquisition of information is a necessity, and every decision we make is informed. Anyone and everyone can and does make informed decisions. However, the ability to make a well informed decision is reserved for those who are able to obtain good information.

Having explored the advantages of safeguarding your IP assets in Artificial Intelligence & Intellectual Property and examined the areas of possible infringement liability in How Are IP Protections Changing in a Global AI Landscape?, its clear that businesses must carefully manage how they integrate AI into their operation streams.