AI is changing financial work faster than organizations can govern it. As AI, automation, and increasingly autonomous workflows take on more financial activity, accountability still sits with the CFOs, Controllers, finance leaders, and auditors responsible for the outcome.
In the opening keynote of MindBridge Vision 2026, Les Rechan, Mike Maziarz, and Rachel Kirkham examine what this shift means for finance and assurance, the gaps emerging as execution accelerates, and the technology required to maintain confidence in financial integrity.
Les Rechan opens Vision 2026 by putting customer value at the center of MindBridge’s next chapter. He describes a future where AI is part of the business strategy, human accountability remains in the lead, and governance becomes an accelerator for organizations adopting autonomous financial workflows.
Mike Maziarz then examines the forces changing financial work and the growing tension they create. Enterprise finance teams face a governance gap, the widening distance between increasingly autonomous financial execution and their ability to govern financial integrity with confidence. Audit and assurance firms face a different challenge, the relevance gap, as client environments become more automated and complex while firms work to maintain audit quality, improve engagement economics, and evolve their methodologies.
The session introduces Autonomous Financial Oversight as a new model for governing this environment. Mike outlines five principles: full-population coverage, continuous oversight, explainability, governed action, and independence from the systems executing financial work. For audit and assurance firms, the same shift is expressed through Augmented Assurance, where technology expands risk visibility while professional judgment and accountability remain with the auditor.
Rachel Kirkham brings the vision into the technology. She explains how MindBridge is evolving toward more frequent financial analysis, independent risk detection, and explainable findings that show what was identified, why it matters, and the evidence behind it. She also explores how MindBridge can connect with working papers, AI assistants, and agentic workflows so financial risk findings can be used in the environments where professionals already work.
The keynote previews MindBridge’s agent roadmap, including agents designed to simplify data ingestion, configure new analyses, and explore results. Rachel also demonstrates an AI-assisted audit workflow that combines MindBridge findings with supporting documents to test selected transactions against invoices, payment approvals, and payment records, identify exceptions, and produce a supporting workpaper for auditor review.
The session closes with a look at the MindBridge roadmap across 2026 and 2027, including capabilities available today, capabilities moving through beta, and areas of continued development as finance and assurance move further into an agentic future.
Chapters
01:04 Welcome to Vision 2026
04:04 Customer value and the future of MindBridge
09:12 How AI is changing financial work
18:25 The CFO’s dual mandate
19:01 The governance gap and relevance gap
21:48 Oversight at the speed of work
24:06 Five principles of Autonomous Financial Oversight
25:27 Technology vision and human accountability
26:42 Continuous, independent, and explainable oversight
34:27 The evolution toward continuous financial oversight
42:50 Building trusted agents for finance and audit
45:29 Data ingestion, analysis design, and Explorer agents
48:40 Demo: AI-assisted audit workflows
54:31 MindBridge roadmap for 2026 and 2027
