Are You a Future Ready Company?

June 21, 2021

How being prepared for the future benefits your company today and tomorrow...

Being prepared for the future is key to ensuring the long term success of your firm. Despite this, only 22% of companies are considered “future ready”. To be future ready is to be innovative, dynamic, and customer oriented, yet still operationally efficient and cutting costs. While that may sound daunting, Kona Kai specializes in optimizing your processes in order to achieve just that. To do it, we find new ways for your company to work, as well as positively changing the culture to be centered around the customer. Additionally, we bring in a platform mindset that encourages sharing data from top to bottom.


As MIT Research Scientists Kristine Dery and Stephanie Woerner say, future ready firms are empowered problem solvers. This will not only better serve your company’s long term success, but also in the short term. Future ready firms are better prepared to solve problems that may arise by being proactive and creative in their response. Also, they are shown to perform almost a full 20 percentage points better in revenue growth compared to the rest of their respective industry. Kona Kai is prepared to help you take that next step through our powerful partnership with Pega. Reach out to us today to invest in your future and start your evolution!


For more details on the MIT webinar series "Pathways to digital business transformation,"  click here

INSIGHTS

By Paul Benvenuto July 29, 2026
Every governance and workflow framework most organizations are running today was built for AI that waits for a human to ask it something. Agentic AI doesn't wait. It initiates, executes, and chains actions across systems on its own, and the workflows built around human initiated, human reviewed steps simply don't have
By Paul Benvenuto July 27, 2026
Education was the number one way companies say they adjusted their talent strategy in response to AI. And yet most organizations still treat training as an event. A workshop. A certificate. A box that gets checked once and never revisited.
By Paul Benvenuto July 20, 2026
Most organizations think they have AI governance because someone in legal drafted a policy and got it signed off. They don't. A policy sitting in a shared drive doesn't know where your AI is actually running. It doesn't flag it when a model drifts. It doesn't do a single thing when an employee routes a client file thro
By Paul Benvenuto July 20, 2026
Governance, people, data, and process are not sequential steps. They are four load-bearing walls, and in regulated industries, a crack in any one of them shows up as risk somewhere else. Here is where each pillar actually breaks down today, and what the data says about the gap between where most organizations sit and w
By Carly Whitte July 1, 2026
AI success depends on more than technology. Governance, regulation, and operational oversight are helping organizations turn AI pilots into scalable business capabilities.
By Carly Whitte June 27, 2026
Healthcare AI adoption depends on more than technology. Governance, accountability, and AI readiness determine whether AI delivers measurable business value.
By Carly Whitte May 24, 2026
AI-powered “vibe coding” is accelerating enterprise software creation, but governance and security controls are struggling to keep pace. Learn the hidden risks of AI-generated applications and why responsible AI governance is critical for scalable enterprise adoption.
By Carly Whitte May 6, 2026
Why does AI adoption stall in healthcare? Discover how accountability, governance, and risk management influence success beyond change management.
By Carly Whitte April 28, 2026
AI adoption in healthcare often stalls due to unclear accountability, not resistance. Learn how governance design, risk management, and liability structures impact successful implementation.
By Carly Whitte April 5, 2026
Learn the most common enterprise AI implementation challenges and how to overcome them. Improve data, governance, and adoption to drive real business value.