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FINANCIAL PRODUCT ANATOMY / 01
Microcredit Operating Model
Field relationships, operating capacity, portfolio quality and P&L — connected in one executive instrument.
Microcredit is not simply a smaller loan. Its economics depend on reconstructing informal cash flow, preserving portfolio quality and serving many low-ticket relationships through an operating model intensive in judgment, people and field execution.
The relationship is not the sales channel. It is part of the risk model.
José ÑáñezTechnology Advisor · Board Member
Published August 20, 2026Updated August 31, 202612 min read
PRODUCT ECONOMICS
Its economics are structurally different
Management does not control every driver with the same intensity. Regulation and the cycle shape some forces. Operating capacity is the one management can redesign continuously.
Cyclical
Funding
The result depends on the mix of deposits and wholesale funding — not one treasury rate.
Semi-cyclical
Risk
Origination quality, relationship knowledge, early warning and collections interact with the economic cycle.
Structural
Operations
Field visits, manual capture, branch transactions and rework determine how expensive the product is to scale.
Technology does not control rate cycles or regulatory ceilings. It can redesign how the institution originates, decides, serves, collects and scales.
OPERATING MODEL
Digitalize the work, preserve the judgment
Much of microcredit’s operating cost sits around the client relationship: broad prospecting, repeated capture, re-entry, unnecessary reviews and branch-dependent service. The opportunity is to remove that friction without erasing what the advisor learns in the field.
Management view
The objective is not to replace the advisor. It is to stop the most expensive field time from being consumed by work that does not require judgment.
Where friction accumulatesWhat should changeWhat remains
01
Prospecting
Friction
Field time is spent searching broadly for opportunities with limited prioritization before the visit.
→
Intervention
Use data and signals to prepare the visit and focus effort where the probability of value is higher.
Preserve: The decision to visit and local knowledge.
02
Field assessment
Friction
The visit produces valuable information, but part of it ends up in paper, repeated validation and re-entry.
→
Intervention
Capture once in the field, work offline when needed and synchronize evidence and validations.
Preserve: Business observation and advisor judgment.
03
Decision
Friction
Relatively standard cases can travel through the same review path as an exception.
→
Intervention
Automate rules and scoring for cases within policy and concentrate human review on exceptions.
Preserve: Human judgment when the information is not sufficient.
04
Service and collections
Friction
Payments, servicing and follow-up can pull clients or advisors back into physical channels; collections arrive late.
→
Intervention
Move routine tasks to digital or correspondent rails and use early signals to direct intervention.
Preserve: The relationship where it actually changes the outcome.
Assisted flow
Prioritize→Visit + capture→Validate→Decide / escalate exception→Disburse→Monitor
The right transformation removes friction without removing useful information.
TRACEABLE LEVERS
Three levers connect operating decisions to the P&L
A lever is not a benefit by itself. Impact appears only when the operating decision is connected to the affected variable and its economics.
| Lever | Operating decision | Affected variable | P&L impact |
|---|---|---|---|
Advisor administrative load Time → capacity → economic use Release administrative time and make the economic use of that capacity explicit rather than assuming automatic growth or staff reduction. | Reduce administrative hours and choose whether released capacity supports growth, captured efficiency or remains an operating benefit. | Released hours · incremental portfolio capacity or captured advisor cost | Portfolio income / funding / risk / operating expense, or advisor staff expense |
Transaction migration Eligible volume → channel unit cost Move routine transactions to lower-cost rails without assuming branch closures, customer growth or headcount reduction. | Define eligible branch volume, effective migration and destination-channel unit cost. | Migrated transactions and cost per transaction | Transactional / channel costs |
Funding optimization Replaced balance → rate differential Replace a defined portion of an existing funding source with an available lower-cost alternative. | Select current source, balance to replace, alternative source and both annual rates. | Funding balance replaced and rate differential | Funding cost |
EXECUTIVE INSTRUMENT
Build the hypothesis before claiming the impact
This model does not open with a seductive transformation case. It starts at zero impact. The user must construct the hypothesis, change the operating variables and judge whether the economics hold.
The objective is not false precision. It is to expose which decisions actually move profit before tax.
Live economics
Colombia · COP
Current PBT
COP 63,000.0 M
Transformed PBT
COP 63,000.0 M
Net annual impact
COP 0.00 M
Starting profile
Microcredit P&L transformation
Start with the current P&L. Each transformation must first change a real operating variable and only then, when an explicit economic decision exists, affect the P&L.
Steps 01–02 of 14
01
Country
Select the reference country.
Colombia · COP · Julio 2026
02
Funding structure
Define whether the institution takes deposits.
Deposit-taking
LIVE P&L
Each control is preserved when switching tabs and the P&L accumulates every impact.
Admin COP 0.00 MTransactions COP 0.00 MFunding COP 0.00 MInvestment OPEX COP 0.00 MTotal COP 0.00 M
Current COP 63,000.0 MTransformed COP 63,000.0 MΔ COP 0.00 M
| P&G | Current | Transformed | Δ |
|---|---|---|---|
| Average portfolio | COP 1,000,000.0 M | COP 1,000,000.0 M | — |
| Portfolio income | COP 388,000.0 M | COP 388,000.0 M | — |
| Other income | COP 0.00 M | COP 0.00 M | — |
| Funding cost | - COP 90,000.0 M | - COP 90,000.0 M | — |
| Financial margin | COP 298,000.0 M | COP 298,000.0 M | — |
| Cost of risk | - COP 55,000.0 M | - COP 55,000.0 M | — |
| Margin after risk | COP 243,000.0 M | COP 243,000.0 M | — |
| Advisor staff | - COP 60,000.0 M | - COP 60,000.0 M | — |
| Other staff | - COP 60,000.0 M | - COP 60,000.0 M | — |
| Transactional / channel costs | - COP 24,000.0 M | - COP 24,000.0 M | — |
| Other administrative expense | - COP 36,000.0 M | - COP 36,000.0 M | — |
| Transformation OPEX | COP 0.00 M | COP 0.00 M | — |
| Profit before tax | COP 63,000.0 M | COP 63,000.0 M | — |
14
Transformation decisions and impact
Review and traceability of the accumulated scenario.
Consolidated net impact · COP 0.00 M
No operating change has been applied yet in the implemented transformations.
Advisor administrative load
Measures only how much administrative time technology can return to the advisor. It does not assume more sales, more portfolio or lower headcount.
Transaction migration
Measures how the cost to serve routine transactions changes when part of branch-served volume migrates to a lower-cost channel. It does not assume branch closures, staff reduction or client growth.
Funding optimization
Measures the impact of replacing part of one current funding source with an alternative source. It does not assume that the entire liability structure can be changed or that the alternative source is available without limits.
The model calculates impact through profit before tax (PBT). It excludes taxes, profit after tax (PAT) and ROE because these depend on each institution’s tax, accounting and capital structure.
METHOD, REFERENCES AND LIMITS
How to read the model correctly
It is a decision model, not a forecast
The simulator is deterministic and built for executive scenario analysis. It is not a forecast, regulatory filing, accounting opinion or credit-risk model.
The model stops at profit before tax
Taxes, PAT and ROE are excluded because those depend on each institution’s tax, accounting and capital structure. The objective here is operating and economic clarity.
Country presets are anchors, not conclusions
Public references for Colombia, Ecuador, Peru and Bolivia provide a practical point of departure. A formal business case should replace them with institution-specific portfolio, cost, risk and funding data.