Leaders who can plan for uncertainty, react quickly, and fully understand the impact of a new strategic plan will see their organizations outpace the market and their competition.
I’ve spent my career in enterprise planning and AI, including a period when a new architecture reshaped the category. I’ve seen what breaks at scale: brittle models only a “wizard” dares touch, multi-month change cycles, fragile scenarioing that risks production, and planning engines that choke when data or dimensionality spikes. I’ve also seen amazing business outcomes when you remove those constraints.
That’s why I joined fintastic. This is the first platform I’ve seen that was architected for the AI era, not retrofitted for it. And the innovation shows up where it matters: speed, scale, and confidence in the numbers.
Geopolitics and policy whiplash can change your operating reality overnight. Tariffs shift, foreign exchange swings, supply routes, and your short-long term plans are wrong by morning. The need to strategize, scenario planning, and stay one step ahead is real. Every leader feels it, but not every system can deliver it.
In 2025, finance leaders are stepping up as strategic operators, translating signals into decisions faster and leaning on technology to do it. According to a recent *PwC pulse survey, “They’re pressure-testing forecasts against policy shifts and adjusting planning - 65% are adjusting financial forecasts and budgets in response to current volatility and 58% are investing in AI and advanced analytics - all while breaking down silos and helping the business stay agile and grounded.”
The planning category itself has room and desperately needs new leaders like fintastic. Enterprise Performance Management (EPM) is a multi-billion-dollar market growing at ~10% CAGR this decade, according to Grand View Research. New vendors like fintastic are ushering in third-generation software and breaking free from rigid molds.
From hundreds of customer conversations (and more than a few tough proofs-of-concepts and deployments), the pain is consistent, driving the need for next-generation solutions. We’ve reached the breaking point, literally and figuratively:
Our innovation and standout features aren't bells and whistles. They are game-changers. Customers go from slowly operating with decisions derived from outdated technology to creating strategic advantages based on tomorrow’s most likely outcomes.
So, what’s under the hood?
If your plan-to-decision latency is measured in days, you’re ceding advantage to competitors who operate in minutes. And given where the world is headed, quick decision-making isn’t optional. The leaders I speak with are modernizing planning because (1) the market rewards speed, (2) AI-driven assistance is creating real value, and (3) the category’s growth shows there’s no shortage of impact to capture.
🔸 Audit your latency. Time your current cycle: build → calc → decision. If it’s days, that’s your baseline.
🔸 Understand what you can’t model in your current platform due to its limitations.
🔸 Run one high-impact pilot. Pick a model with visible upside (pricing, demand, workforce). Replicate it in fintastic, and measure time-to-scenario and time-to-decision.
🔸 Scale by version. Use independent versions to expand safely, explore new geos and SKUs, or test out constraints, without risking production.
The next wave of planning and decision-making is coming. Vendors are validating that this shift is underway, and buyers rightly expect next-gen performance. Our job is to set the bar: we are faster at scale, safer to change, and easier to adopt. That’s where fintastic is focused.
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🔸 CFOs are operating through volatility and leaning into tech to move faster and make clearer decisions. PwC
🔸 EPM/xP&A is growing—a multi-billion-dollar space compounding ~9–10% through 2032–2033. Grand View ResearchFortune Business Insights
🔸 AI adoption and value are rising, with broader C-suite use and more functions reporting revenue impact. McKinsey & Company