Rethinking Reconciliation at Scale: Where AI Actually Makes Sense

Rethinking Reconciliation at Scale: Where AI Actually Makes Sense

Rethinking Reconciliation at Scale: Where AI Actually Makes Sense

How banks, MFBs, and payment companies can eliminate reconciliation bottlenecks, revenue leakage, and operational risk.

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Why This Conversation Matters

As transaction volumes grow and financial ecosystems become more interconnected, reconciliation has quietly become one of the most material — and least visible — sources of operational risk and revenue leakage across banks, MFBs, and payment companies.

Multiple channels, switches, wallets, custodians, file formats, and settlement timelines have made reconciliation exponentially more complex. Yet many institutions still rely heavily on manual processes, spreadsheets, RPA and fragmented tools that were never designed to operate at today’s scale.

As transaction volumes grow and financial ecosystems become more interconnected, reconciliation has quietly become one of the most material — and least visible — sources of operational risk and revenue leakage across banks, MFBs, and payment companies.

Multiple channels, switches, wallets, custodians, file formats, and settlement timelines have made reconciliation exponentially more complex. Yet many institutions still rely heavily on manual processes, spreadsheets, RPA and fragmented tools that were never designed to operate at today’s scale.

The consequences are familiar to senior leaders:

The consequences are familiar to senior leaders:

The consequences are familiar to senior leaders:

• Revenue leakage that compounds quietly over time 

• Growing exception backlogs and operational bottlenecks 

• Increased audit, regulatory, and settlement exposure 

• Limited real-time visibility for finance, operations, and risk teams 

In recent years, many institutions have begun exploring automation and AI to address these challenges. Results, however, have been mixed — often because AI is applied without a deep understanding of reconciliation workflows, exception patterns, data quality issues, and control requirements.

This closed-door executive breakfast creates space to step back from day-to-day firefighting and have an honest, practical conversation about how reconciliation should be approached at scale — including where Agentic AI genuinely helps, where more traditional automation still works better, and where new risks can be introduced if applied carelessly.

Who Should Attend

Who Should Attend

Who Should Attend

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This session is curated for senior decision-makers who own outcomes, not just processes:

This session is curated for senior decision-makers who own outcomes, not just processes:

CFOs & Finance Directors 

 Heads of Finance

Heads of Operations

Payments, Switching & Settlement Leads 

 Risk, Compliance & Internal Audit Leaders

What We’ll Discuss

This is not a product pitch. It’s a working session grounded in real operational experience across complex transaction environments. 


Together, we’ll explore:

This is not a product pitch. It’s a working session grounded in real operational experience across complex transaction environments. 


Together, we’ll explore:

Why reconciliation continues to break as transaction volumes, partners, and channels increase

Why reconciliation continues to break as transaction volumes, partners, and channels increase

Where institutions typically lose money without realising it 

Where institutions typically lose money without realising it 

The operational, financial, and regulatory risks hidden in delayed or incomplete reconciliation 

The operational, financial, and regulatory risks hidden in delayed or incomplete reconciliation 

How leading institutions are approaching automation, exception management, and controls

How leading institutions are approaching automation, exception management, and controls

Where Agentic AI can improve reconciliation outcomes — and where it introduces new risk

Where Agentic AI can improve reconciliation outcomes — and where it introduces new risk

 What “good” reconciliation infrastructure looks like in today’s financial ecosystem

 What “good” reconciliation infrastructure looks like in today’s financial ecosystem

Meet the Speakers

Obum Ekeke OBE 

Obum Ekeke OBE 

Chief Executive Officer, MasteryHive AI

Ex-Google DeepMind

Ikenna Uzoh

Ikenna Uzoh

Chief Technology Officer, MasteryHive AI

Ex-Google & AWS

Rethinking Reconciliation at Scale: Where AI Actually Makes Sense

Rethinking Reconciliation at Scale: Where AI Actually Makes Sense

Register your interest (link) to secure a seat at the table.

Register your interest

12

Mar

Thursday, March 12

8:30 - 11:00 AM

Lagos Continental Hotel, 52a Kofo Abayomi St, Victoria Island, Lagos

Roundtable

+ Guided Peer Discussion

Solution

Banking & FinTech

Insurance

Reinsurance