For decades, finance organisations have been striving towards the “self-service revolution”. Yet, despite all the efforts, a significant “human integration layer” remained – with teams spending their lives sourcing data, reconciling and manually building reports.
Today, that era of stagnation is over – the revolution is no longer a distant horizon; it is being delivered – not because dashboards have become prettier, but because AI has made self-service reporting genuinely intelligent. Instead of simply enabling users to pull their own reports, AI now acts like a shadow business partner, rapidly equipping finance with the strategic insights they once spent a disproportionate amount of time compiling themselves.
The shift is profound: reporting is no longer a retrieval exercise but an intelligent, insight on-demand capability – serving as the right hand of the finance business partner and supporting the organisation’s strategic agenda.
From pulling data to shaping questions
The “good news” is well documented: conversational AI allows any user to ask, “What will the impact be on my cash flow?” and receive an answer in seconds. But as many finance leaders are discovering, there is a catch.
Data models remain complex. AI can’t always bridge the gap between a raw query and a nuanced, multidimensional structure without a human guiding the way. This is where the role of the finance business partner evolves.
Instead of merely providing answers, we are now in the business of shaping the questions. We apply years of business context to ensure the right question is being asked in the right way. It marks a shift from data-entry to high-level advisory – a “hand-holding” function that ensures the AI’s speed is matched by human accuracy.
The productivity dividend
The impact of leveraging technologies like conversational AI isn’t just theoretical; it’s quantifiable. According to The Hackett Group’s 2026 Digital World Class® Finance research, top-quartile organisations are already seeing the gap widen:
- 44% lower operating costs
- 42% less time spent collecting data
- 2.07X more time spent on high-value analysis
Case example: the death of the slide deck
Imagine a global technology organisation where finance was stuck playing translator for a sea of disconnected systems. Now, imagine that model replaced by:
- Natural-language Q&A for leaders to interrogate revenue and pipeline trends directly.
- Real-time scenario modelling during C-suite reviews (e.g. “What happens if North American demand dips 5%?”).
- Automated narratives that explain the “why” behind the variances before the meeting even starts.
And here is the plot twist: This isn’t a vision of the future. It’s a real success story. This organisation eliminated over 300 legacy reports and saved more than one million labour hours annually. They now conduct performance reviews directly “on the glass” – no slide decks, no manual cut-and-paste.
The leadership mandate: engineering strategic capacity
If 30-50% of manual reporting work disappears, where does that capacity go? It is the ‘Transformation Dividend’ that must be reinvested to finally bridge the gap between back-office reporting and true strategic partnership.
While the opportunity is vast, it isn’t automatic. In The Hackett Group’s 2026 Finance Key Issues Study, finance leaders reported organisational resistance to change, resource budget constraints and data complexity as the top three barriers to finance transformation, therefore finance leaders must:
- Prepare the organisation: Finance must move from “answering the mail” to proactively challenging business assumptions.
- Become a talent magnet and retain top performers: This isn’t just about efficiency; it’s about retention. The next generation of finance talent doesn’t want to spend their weekends reconciling data. They want to exploit technology to do the heavy lifting so they can focus on strategy.
- Establish a robust EPM strategy: AI lowers the barrier to entry, but it doesn’t eliminate the need for clean data and disciplined stewardship. Governance remains the foundation.
The moment is here
While we are still in the early days, The Hackett Group’s study indicated that 86% of finance organisations report having a major AI initiative planned this year, but the Digital World Class® leaders are already accelerating. In fact, a significant 41% of the organisations reported that they have scaled or piloted AI across planning and forecasting, demonstrating that AI no longer represents a niche capability or a distant future for finance.
However, this acceleration is only possible for those who have modernised their underlying EPM strategy and architecture. You cannot “prompt” your way out of a fragmented data architecture; the conversational AI we see today is effectively the “last mile” of a robust EPM strategy. For the 86% of leaders prioritising AI, the first step isn’t just a new interface – it’s ensuring their EPM platform provides the governed, unified data model that AI requires to be accurate. AI will not replace finance, and the human expert will always need to be in the loop. But it will absolutely replace the version of finance that prioritises data wrangling over strategic action. The tools are here. The benefits are measurable. The only question left is: is your organisation ready to move beyond traditional reporting and step into a future of insight-driven enablement – one where you don’t just report
Learn more at thehackettgroup.com
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