Can teams reconcile every channel?
Reconciliation has to be automated across the app and the core ledger, with exceptions raised as assignable items. Reversals and duplicates each need their own queue and an owner.
Volume makes the case for automation. Osfin's benchmarking describes its platform processing up to 30 million records in about 15 minutes across ACH and SWIFT files, with matching rules and auto-tagged exceptions.
Reconciliation is a labor cost, so the number worth demanding from any vendor is the hours your team spends on exceptions each morning. Set that as a measurable target before signing, because it's the figure that determines whether the channel pays for itself.
Can agents manage liquidity effectively?
The platform must show each agent's cash and electronic float in real time and forecast a shortage before it happens. Commission visibility belongs in the same view, because agents who can't see what they earn stop promoting your services.
Liquidity failure is measurable and large. Oxford Policy Management reports that in traditional mobile money, one in five transactions fails because the agent lacks e-float or cash. Here's why this hits MFIs harder than mobile network operators. Loan repayment flows are one-directional, so agents serving your customers accumulate cash and drain e-float continuously, without offsetting withdrawals to rebalance them.
Check these two things:
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Whether the system forecasts float needs from each agent's own transaction history
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Whether it supports agent credit or super-agent rebalancing, which is how NMB Tanzania keeps agents from abandoning their shops to fetch float
Does reporting guide daily decisions?
Reporting earns its place when a branch manager changes something on Tuesday because of what a report showed on Monday. Require operational and regulatory reporting on collections and agent performance. Every figure needs a drill-down to the underlying transactions and an export that isn't a locked PDF.
Real-time data changes what supervision can catch. Mordor Intelligence documents one large Indian lender reporting 98% digital retail transactions by October 2025, which enabled earlier detection of delinquency risk and proactive customer contact. Early delinquency detection is the financial argument for these channels, and it only works if the reporting layer reaches field supervisors.
Ask for three things in the demo:
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A named report showing agent-level activity for a single day, with drill-down to individual transactions
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The failed-transaction report with the reason code for each failure
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Whichever regulatory return your central bank requires monthly, generated from live data
Can the vendor support rollout?
Judge the vendor on implementation ownership. Establish who configures the system and who trains agents and field staff. Localization and regulatory configuration should be their work.
Execution risk is documented. Analysis cited by Dataintelo indicates roughly 34% of large bank core banking migration programs experience significant schedule delays or budget overruns.
References matter more than case studies, and they have to come from institutions with comparable agent networks and connectivity conditions. A reference from a tier-one urban bank tells you nothing about how the vendor behaves when 400 rural agents need retraining. Ask each reference what the vendor did badly.
How should MFIs validate claims?
Validate with a pilot that uses your real devices and the exception scenarios you documented at the start. Include a reversal and an offline transaction that syncs late. Set measurable acceptance criteria before the pilot begins.
Testing discipline pays off at conversion. Hartman Executive Advisors recommends performing at least two mock conversions to confirm data migrates as expected and interrelated systems still operate.
Two mock runs work because the first one finds problems and the second one proves the fixes hold. Apply the same logic to your channel pilot: run it twice, and make the second run the one that determines whether you sign. Set numeric thresholds for transaction completion rate and core posting accuracy, then hold the contract to them.
Map workflows with Doocat before selection
Start by putting your field workflows next to the platform capabilities they depend on, then find the gaps. Doocat builds banking software for microfinance operations, with mobile and agent banking in one integrated platform, and the team has run this kind of mapping with other microfinance clients.
That review is where configuration requirements and control gaps become visible while you can still change your mind about them. It's cheaper to discover a missing offline receipt or an unenforceable agent limit during a workflow review than during a live rollout across your branch network.
Bring your documented journeys and your regulator's current requirements to that conversation. Reach out to Doocat to map your mobile and agent banking workflows before you commit to a vendor.