Frame
Map the workflow, confirm data sources, define controls and agree the success measure.
Decision map · Your organisation
Ranked against your BFSI context, stated pressures, and operating constraints.
Sector
BFSI
Primary pressure
Operational improvement
Timing
To validate
Workflow
Cross-functional
Priority map
Select an opportunity to inspect the reasoning and recommended first move.
High impact
More complex →
Less complex
Automated financial reconciliation
High impact · Build + Integrate
AI-assisted KYC operations
High impact · Build + Integrate
Customer servicing copilot
High impact · Integrate
Selected opportunity
Connect source systems, automate matching rules and use anomaly detection to surface only the exceptions that need human review.
Current friction
Finance and operations teams pull transaction data from core platforms, payment files and spreadsheets before manually matching exceptions.
Suggested first move
Pilot one high-volume reconciliation workflow, such as settlement or GST input matching.
Technology direction
Build + Integrate
Decision lens
High potential impact with medium implementation complexity.
90-day evidence path
A connected sequence for automated financial reconciliation, designed to create evidence—not theatre.
Map the workflow, confirm data sources, define controls and agree the success measure.
Connect priority systems and test the assisted workflow with a small real user group.
Run a controlled pilot, compare outcomes and decide whether the evidence supports scaling.
Avoid low-volume, highly variable decisions that depend on undocumented expert judgement. Improve the process and its evidence first.
Pressure-test the map
Review feasibility, constraints, controls, and the strongest first experiment with a Zerozilla architect.