AI in finance

AI Readiness Scan

  • Find out if your finance function is ready for AI in just five minutes.
  • Identify bottlenecks across your people, processes, data, and governance.
  • Define clear, actionable next steps to build your AI transformation roadmap.
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A professional woman wearing glasses and with curly hair points to a computer screen displaying a financial document, illustrating the AI readiness scan in finance.
Stéphanie Struelens
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Expert Practice Leader Transformation Solutions

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  1. Finance Process Landscape

    1. Which finance processes currently absorb the highest volume of manual, repetitive tasks?

Most finance teams have experimented with AI by now. Far fewer have built it into their core workflows. The hard part is rarely the technology or tool itself. The true challenge lies in generating reliable results from systems and data that were never built to work together, across processes your team counts on every day.

Our free self-check AI readiness scan gives you a first read on where your finance function stands today, in about five minutes. You get your assumed level on the AI maturity model, and the key aspects that will hold you back if you do not deal with them first.

What is the AI readiness scan?

Designed as a quick online AI readiness assessment, this scan goes beyond technical infrastructure alone. It gives you a first indication of where your team stands on our AI maturity model, across the four foundational pillars of digital finance transformation:

  • People & culture: Assessing team appetite, executive sponsorship, vulnerability to tacit knowledge loss when key staff leave, and whether saved time is reinvested into higher-value analysis.
  • Process & workflow: Mapping the standardization of your core financial workflows, current automation levels, exception handling, and manual handoffs.
  • Data & systems: Evaluating data readiness, the structural quality of your finance stack, reporting automation, and connectivity across primary applications.
  • Governance: Reviewing clear usage guidelines, alignment with IT and security, data privacy standards, and model auditability.

By completing this AI readiness check, you get an immediate overview of your AI maturity level, giving you a clear, objective starting point for scaling AI in finance.

More about our approach to AI in finance

Who is this AI assessment for?

This AI assessment is tailored for financial leaders looking to get an initial, objective reading on their team's readiness for AI adoption.
It is ideal for:

  • CFOs & finance directors: Wanting a quick, high-level pulse check on AI readiness and foundational bottlenecks before setting internal AI priorities or defining a transformation roadmap.
  • Finance operations managers & controllers: Seeking to identify where their team is spending too much time on repetitive tasks—like AI in accounts payable or reporting—to spot automation opportunities and potential AI use cases.
  • Finance transformation leads: Looking for a practical benchmark to start alignment discussions, evaluate current AI readiness, and prepare the ground for a structured AI strategy framework or AI operating model.

Whether your team is taking its very first steps or currently evaluating an AI proof of concept (AI PoC), this AI quick scan provides a realistic starting point to gauge where you stand.

What to expect from this AI maturity assessment

Upon completing the 5-minute quick scan, you receive a direct evaluation placing your team in one of four stages of our AI maturity framework. This provides a clear indication of your starting point:

  • Level 1: Not started
    Core workflows depend heavily on manual spreadsheets and undocumented knowledge stored in the heads of key team members.
  • Level 2: Awareness
    Process bottlenecks are recognized and interest for AI is high, but daily operations still rely on manual workarounds without formal execution capabilities.
  • Level 3: Developing
    Key workflows are standardized, data sources are centralized, and active AI use cases in finance return measurable hours to the business.
  • Level 4: Leading
    Automated pipelines and predictive insights are deeply embedded into strategic decision-making, supported by robust governance.
Discover our AI maturity model

From initial insight to sustainable AI implementation

Our free AI readiness scan provides a fast, realistic picture of where your finance function stands today. It serves as a practical starting point to spot opportunities across your people, processes, and systems.

To take the next step in your digital transformation, TriFinance helps you:

  • Elevate your AI maturity level by transitioning from manual workarounds to structured, data-driven financial operations.
  • Build an execution roadmap with a clear AI strategy framework aligned with your existing software stack.
  • Deploy high-impact use cases by evaluating, testing, and integrating targeted AI use cases in finance.

 

From thorough operational diagnostics to hands-on execution, TriFinance is ready to guide your team every step of the way.

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FAQ

Frequently asked questions about AI readiness in finance

  • Why take the AI readiness scan

    This AI readiness scan is designed to give finance leaders a first self-assessment on AI readiness to help define clear, actionable next steps. It is particularly valuable if you recognize one of these situations:

    • You need a grounded AI plan: You are being asked for an AI roadmap, and you want to respond with a clear operational assessment rather than a superficial list of software tools.
    • You need a realistic casis for your AI budget: You need to build a grounded business case that prioritizes spend around high-impact use cases where your team, data, and processes will deliver real business value.
    • You see friction, but not the root cause: You know where your core finance processes get stuck, but cannot pinpoint whether the bottleneck lies in your processes, your data readiness, or your team's current setup.
    • Your AI momentum has stalled: You successfully ran an initial AI pilot, but cannot explain why the second one is failing to move into daily finance operations.

    By taking this quick assessment, you move past guesswork and get a clear insight into how to organize your next steps.

  • Is this AI readiness scan useful if our department hasn't started using AI yet?

    Yes. In fact, most finance organizations are currently at Level 1 (Not started), relying on manual spreadsheet workarounds and undocumented institutional memory held in the heads of key team members. Mapping your baseline at this stage is often the most valuable step you can take. It highlights where process vulnerabilities and data siloes sit today, giving your leadership team a grounded, realistic starting point before allocating time or capital to technology.

  • Do we need all our data clean before launching AI initiatives?

    Not all of it. A common misconception is that AI requires a massive, enterprise-wide data cleanup before you can begin. What actually sinks AI initiatives is launching a tool on a workflow where the team still disagrees on which numbers are right, which leads directly into the classic  'garbage in, garbage out' trap (GIGO).

     

    For the specific process you choose to tackle first, your data must be clean, consistent, and properly governed. That is what practical data readiness is about, rather than fixing every dataset in your organization. Crucially, AI can also accelerate that cleanup: automatically detecting anomalies, resolving formatting errors, and maintaining continuous data hygiene over time. Evaluating whether your data is dependable enough for that first step is one of the core insights our AI readiness scan provides.

  • How does AI adoption impact our existing finance team and required skills?

    AI adoption in finance [link to #5] is not about turning accountants or controllers into software engineers. The core objective is to reduce time spent on repetitive manual processing, allowing your team to apply their financial domain expertise toward strategic analysis and decision support. Sustainable adoption requires an honest AI skills assessment to identify training needs, followed by structured AI change management. This ensures your team builds the confidence and capability to work effectively alongside automated workflows, evolving from number cruncher to context architect. 
     

Contact us to discuss your AI maturity and next steps

From thorough operational diagnostics to hands-on execution, TriFinance is ready to guide your team every step of the way.

Stéphanie Struelens

Get in touch with our expert Stéphanie Struelens

As Expert Practice Leader Transformation Solutions, Stéphanie helps organizations improve operations and successfully deliver business transformation.

Connect on LinkedIn

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