/

/

Recon Assist

Resolve the breaks others leave behind

Agentic AI for unresolved reconciliation breaks that investigates root causes, recommends actions, and helps teams close faster across cash and position workflows.

Resolve the breaks others leave behind

Agentic AI for unresolved reconciliation breaks that investigates root causes, recommends actions, and helps teams close faster across cash and position workflows.

The hard breaks remain

The hard breaks remain

First‑pass reconciliation clears what it can.
What’s left behind is where time, risk, and effort quietly accumulate. 

First‑pass reconciliation clears what it can. What’s left behind is where time, risk, and effort quietly accumulate. 

1

A meaningful share of records remain unmatched after standard reconciliation

2

Analysts spend hours chasing breaks static rules cannot explain

3

Root causes hide across custodians, internal systems, files, and email trails

4

T+1 timelines leave little tolerance for slow, manual investigation

5

Inconsistent commentary increases audit, compliance, and operational exposure

6

Volume spikes turn exception queues into immediate staffing pressure

Recon Assist is purpose built to confront the exceptions others defer

Recon Assist is purpose built to confront the exceptions others defer

1

Investigates reconciliation breaks left unresolved after first‑pass matching


2

Enriches unmatched records with context from custodians, internal systems, and reference data

3

Explains why a break exists instead of stopping at “no match”


4

Recommends next best actions - accept, override, escalate

5

Guides analysts toward faster, more consistent resolution paths

6

Learns continuously from analyst decisions to reduce recurring exceptions


From break prevention to break detection

From break prevention to break detection

1

Unmatched-break intelligence

Supports review of exception items not resolved by standard matching processes.

2

Root cause discovery

Connects custodian data, internal records, reference data, emails, and documents to explain why a break exists.

3

Next-best-action recommendations

Guides analysts on whether to accept, override, escalate, or communicate with counterparties, bringing consistency and speed to decision making.

4

Reviewer simulation engine

Surfaces recurring break patterns and helps reviewers define new rules and controls to prevent repeat exceptions and expand automation coverage.

5

Continuous learning loop

Continuously improves match logic and resolution recommendations by learning from analyst approvals and overrides.

Demo

Demo

Our experts

Gaurav Sharma

Client Partner- Consulting Financial Services

Vinoj Radhakrishnan

Principal Consultant - Consulting Financial Services

Accelerate resolution.
Improve accuracy.
Prevent recurrence.

Accelerate resolution.
Improve accuracy.
Prevent recurrence.

Recognition and achievements

Select Fractal accolades

Named leader

Customer analytics service provider Q2 2025

Representative vendor

Customer analytics service provider Q1 2021

Great Place to Work

9th year running. Certifications received for India, USA, UK, and UAE

Recognition and achievements

Select Fractal accolades

Named leader

Customer analytics service provider Q2 2025

Representative vendor

Customer analytics service provider Q1 2021

Great Place to Work

9th year running. Certifications received for India, USA, UK, and UAE