In our last blog, we discussed the importance of responsible AI implementation. But as AI becomes more embedded in finance workflows, the challenge shifts from adoption to accountability. So, how can organisations build trust in AI systems while maintaining transparency for finance teams, regulators, and wider stakeholders?
At Mysoft, we believe building that trust starts with strong governance, continuous improvement, and the right platform foundation. Here, we explore practical strategies — and how Sage Intacct supports them.
Why Trust and Transparency Matter
1. Meeting Regulatory Expectations
- Governments and regulators are watching closely. The EU’s AI Act, the OECD’s AI principles, and the UK’s ICO guidance all emphasise transparency and accountability in AI decision-making. For finance teams governed by IFRS or GAAP standards, this means AI tools must be explainable and auditable to avoid risk and ensure compliance.
2. Gaining Internal Buy-In
- CFOs, auditors, and analysts need confidence in how AI arrives at its conclusions. Clear reporting and intuitive models — like decision trees or rule-based logic — make AI outputs easier to trust. That trust is essential for broader adoption.
3. Securing External Confidence
- Investors and stakeholders are asking more questions about AI governance. Being transparent about how AI is used in reporting, forecasting, or decision-making shows ethical leadership and boosts your organisation’s credibility.
4. Enabling Cultural Change
- AI adoption is as much about people as it is about platforms. Training, upskilling, and open communication build a finance culture that’s ready to embrace AI responsibly. Embedding ESG values into AI usage reinforces this shift.
Strategies For Building Trust
Set a Clear Governance Framework
- Responsible AI isn’t a one-off project — it’s a continuous process. Appoint ownership at the senior level (like the CFO), and adopt proven frameworks such as COSO ERM or EU AI ethics guidelines to guide your governance approach.
Adopt Explaiable, Auditable Models
- Choose models that provide clarity, even at the expense of complexity. Keep audit logs, use version control, and document changes so outputs can be traced and verified. Think of it like an AI audit trail.
Engage Stakeholders Proactively
- Share regular updates on AI tools in use, model accuracy rates, or risk assessments. Involve teams beyond finance — like IT, operations, or HR — to create balanced governance boards and holistic oversight.
Upskill Finance Teams
- Encourage training in data literacy and AI fundamentals, with certifications from ACCA, CIMA or similar. Empower your finance professionals to become AI champions — not just users, but interpreters and collaborators.
Engage Stakeholders Proactively
- Share regular updates on AI tools in use, model accuracy rates, or risk assessments. Involve teams beyond finance — like IT, operations, or HR — to create balanced governance boards and holistic oversight.
Balance Risk and Innovation
- Too much red tape can slow progress, and too little can invite risk. The key is thoughtful, flexible governance that adapts to business needs and supports scalable growth.
How Sage Intacct Supports Trustworthy AI
Centralised, Consistent Data
By unifying your financial data in a secure, cloud-based environment, Sage Intacct reduces the risk of fragmented inputs — improving the reliability of any AI system built on top.
Compliance-Ready Infrastructure
With built-in audit trails, permission-based access, and strong data controls, Sage Intacct supports compliance with frameworks like GDPR, IFRS, and industry-specific rules.
Real-Time Insights and Integration
Sage Intacct’s open APIs let you plug in AI tools and data analytics platforms seamlessly. You can display AI-driven insights alongside KPIs via real-time dashboards, helping teams validate outputs and act with confidence.
Scalable, Supported Adoption
Its modular design means you can scale at your own pace — from automating workflows to integrating advanced analytics. Ongoing support and training resources also keep your team ahead of the curve.
Building trust and transparency in an AI-driven financial future isn’t just about technology—it’s about people, processes, and principles. From fostering a culture of openness and continuous learning to implementing robust governance frameworks, responsible AI adoption calls for thoughtful planning and execution. With platforms like Sage Intacct providing a secure and scalable foundation, finance leaders can confidently unlock AI’s transformative power while maintaining the highest standards of integrity.
This concludes our three-part blog series on AI in Accounting and Finance. By adopting AI responsibly, governing it ethically, and embracing transparency, your organisation can thrive in this new era—delivering enhanced value to customers, shareholders, and society alike.
