AI and modern digital workspaces promise massive improvements in productivity and profitability. Yet, for many organizations, these gains remain frustratingly out of reach.
Why? Because we are drowning in unstructured, fragmented data.
Are you ‘Data Rich but Insight Poor’?
Consider this: We typically lose nearly 20% of our time searching for information. This problem is escalating rapidly, with 47% of employees now actively struggling to find data. As unstructured data volumes hit 90% of all enterprise information, this “search barrier” has become the primary bottleneck for AI adoption. (1) (2) (3) (4)
There’s a lot of noise surrounding AI, but the reality is stark: You cannot scale AI on top of a mess.
To truly realize AI’s benefits, businesses must adapt their processes, reskill their workforce, and overhaul their operating models. But there’s a missing piece: an intelligent information center that transforms the storm of data into a structured, leveraged asset.
We bring structure to the chaos, and we accelerate your timeline to value.
We are proud to announce our collaboration with PR Smith, founder of the world-renowned SOSTAC® planning methodology.
By combining the strategic discipline of SOSTAC® with the operational clarity of the ROG Framework® (Refocus On Goals), we solve the “unstructured data” challenge. We bridge the critical gap between high-level strategy and daily execution within your Microsoft 365 and Google Workspace environments.
The result is far more than just “organized folders.” It is a true competitive advantage.
We transform your data environment from a bottleneck into a structured engine, primed for successful AI adoption.
As PR Smith aptly puts it: “SOSTAC® was born to simplify strategy. Today, it also provides the solid architecture required to hold the fluid nature of modern digital collaboration together.”
Don’t just manage your data—leverage it. Accelerate your timeline to value and unlock the full potential of AI.
Are you ready to structure your environment to scale your AI?
(1) Manyika, J. et al (2012); (2) Gartner (2023); (3) IDC (2024); (4) CDO 2025)