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May 6, 2025
It’s 9 PM. Tomorrow’s board meeting needs a clean, up-to-date structure chart and somehow the version you pulled last week is already outdated. Ownership has shifted, two subsidiaries have merged and leadership wants a second view sorted by voting power instead of equity percentage. You cancel your evening plans and start piecing it together manually.
What if that scramble never happened? What if your structure charts were always current, accurate, dynamic and ready to go?
It's possible. It's why teams managing dozens or hundreds of entities are shifting from disconnected spreadsheets and static structure charts to a living single source of truth. In today's governance landscape, centralized, real-time entity data isn't a luxury. It's a necessity.
Manual structure charts work when your organization is small. But as you grow, add entities, expand globally and bring on investors, complexity spikes. That’s where manual processes start to fail.
The first thing that breaks is accuracy. A missed change in ownership or control might not seem like a big deal until it triggers a filing error, delays financing, or causes an audit friction. Updates are easy to overlook when charts live out of sight in PowerPoint decks or tucked-away spreadsheets. Version control falls apart too. Suddenly there are five different “final” charts floating around and when the CFO needs it immediately, no one’s sure which version is the right one, resulting in a last-minute scramble to piece it together manually.
Then there’s the time sink. Legal and operations teams can easily spend hours every month redrawing charts, copy-pasting boxes and chasing the latest data. That’s a lot of work just to keep something looking right on paper.
As entity structures become more layered—adding minority shareholders, international subsidiaries, special voting arrangements—manual charts just can’t keep up. They’re either oversimplified or outdated, creating blind spots exactly where you can’t afford them.
All because manual processes don’t scale. What took an hour with five entities becomes a nightmare with fifty. Eventually, teams either fall behind or accept that the chart is never accurate (which is unacceptable).
A structure chart should be something you trust, not something you're always fixing. As ownership structures grow more layered and teams work across departments and jurisdictions, this chart becomes more than a visual. It’s a real-time reflection of your data.
A modern structure chart pulls from a single source of truth so every stakeholder sees the same, up-to-date information without manual upkeep. At a minimum, it should:
The good news is, real-time structure charts aren’t a someday feature. They are already in use. Mitratech, a global leader in legal and compliance software, recently replaced manual charting with an automated system powered by live data and cut chart creation time down to seconds.
Mitratech’s Associate General Counsel, Adrian Jackson says, “With Athennian, I can generate structure charts instantly. It used to take 45 minutes to an hour sometimes, but now it takes seconds. It’s been a very powerful feature for me.”
Beyond the clear time savings, Mitratech unlocked an invaluable strategic benefit: accuracy. With a central, real-time view of their ownership structure, teams no longer wrestle with conflicting versions or outdated visuals. Legal and compliance now operate with clarity and fewer roadblocks. Read Mitratech’s success story here.
A good structure chart doesn’t just show ownership, it keeps up with it. When charts are tied directly to live entity data, they reflect reality in real time. In a modern automated solution, charts update automatically when key changes happen, like new shares issued, mergers closed or officers appointed. No rebuilding from scratch. No outdated diagrams floating around.
Smart teams can filter views by what matters most—region, entity type, voting power—and get the right lens without redoing the entire chart. Whether leadership needs a clean overview or finance needs detailed control breakdowns, a good chart is customizable to fit the conversation.
That’s exactly how it works for teams using Athennian. Structure charts pull directly from live securities and entity records, updating automatically and adapting to different views in just a few clicks. Here’s how users save time with automated structure charts:
When structure charts don’t require constant updates or manual oversight, you stop acting as the middle layer between stale data and the people who need it. Instead, stakeholders get real-time visibility, right from the system itself. That’s not just more efficient, it’s more strategic. The less time you spend maintaining charts, the more time you have to lead with the insights they reveal.