Agency Distribution as a Service

Distribution infrastructure for MFIs and lenders.

mBenki ADaaS distributes financial solutions through a modern agency network and turns every customer interaction into structured market intelligence. Powered by mBenki Nexus — two agency apps and one web console.

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Agency distribution outlook in Zambia

The customer changed. Distribution has not.

Traditional operations today

Built for a customer who no longer exists

Interactions treated as sales or admin activity: a quick conversation, an answer, a paper form.
DSAs push products to customers whose needs they do not understand.
Institution-managed, exclusive agents mirror employment, cannot sustain agent economics, and churn.
Roaming DSAs give temporary presence in a field that is now dispersed and partly digital.

How the customer has changed

Informed, solution-seeking and distributed

Every interaction is a market demand signal: what customers ask, want, reject and choose.
Customers start with a need and expect a solution that fits their circumstances.
They discover and compare across providers, not one institution or one channel.
The journey runs across social media, WhatsApp, phones, platforms and agents at once.

The journey now starts with the customer, not the product

1 Need2 Preference3 Solution searching4 Engage

By the time a customer reaches an institution, the decision is already well underway. Distribution that waits at the branch door meets the customer too late. The channel is the customer's choice: digital, branch, or a person in the community.

The emerging competitive challenge

Competition is no longer about what other lenders offer

01

On the customer's terms

The comparison happens before the customer contacts anyone. Institutions are shortlisted on information they never supplied.

02

For presence, not price

The provider reachable where the customer already is gets the conversation. Rate matters second.

03

On response speed

An instant, accurate eligibility answer beats a callback. Delay is where applications are lost.

04

On what you know

An institution that can read demand can design and price for it. One that reads only its own book is guessing.

The threat is not the lender across the street. It is the customer who has already decided elsewhere.

What mBenki ADaaS is

Two functions in one distribution layer

Agency distribution must respond to how modern consumers interact with financial solutions — and must include a data-generation function that captures market demand signals.

Function 1

Demand-led solution distribution

The agent is a customer-facing access point, not a product-pushing salesperson. Distribution is built around solutions rather than product targets, and responds to customer needs instead of chasing prospects.

Function 2

Embedded data generation

Every interaction is also a data-generation event. Demand signals are captured at the point of conversation, making consumer behaviour and evolving financial needs visible to the institution.

The offering

One platform, three ways to grow distribution

Institutions take any one of these, or all three.

01

Qualified Lead Generation

Leads from two sources: recruited community agents on mBenki Pro, and consumers self-serving on mBenki Go — both running the same workflows.

mBenki Pro — agent-originated

Mobile money agents, retail businesses and consumer-facing entrepreneurs recruited as financial services agents, serving as the institution's physical touchpoints.

mBenki Go — self-originated

A direct-to-consumer app for customers who prefer to self-serve, sending leads through the same workflows.

Same intelligence either way

Every engagement generates structured customer and market intelligence data.

02

Customer Interaction Management

A mechanism for sales teams to manage everyday customer conversations and convert them into structured data packages for business intelligence.

1 — Customer engagement

A customer visits a branch, calls, or engages an agent seeking product information.

2 — Structured data packaging

Standardised workflows capture demographics, preferences, objections and intent.

3 — Business intelligence

Data packages are aggregated into insight for distribution and growth planning.

03

Agency SaaS for internal DSAs

The same technology applied to your own direct sales agents, loan officers and call-centre teams.

Generate market intelligence

Turn DSAs into an extension of the R&D function, generating market insight from their sales events.

Measure productivity directly

Monitor engagement activity per agent, rather than inferring it from applications.

Standardise the sales event

Digitise the DSA–customer conversation so points of friction become visible.

Value proposition by service

What changes in your own operations

Service	Traditional operation	With mBenki
Qualified Lead Generation	A DSA spends the week in a market and returns 40 names. The call centre works the list; most are ineligible.	An agent in that market handles inquiries all week. Each customer is profiled, matched and screened against your rules before submission.
Customer Interaction Management	A branch handles 300 conversations a month. The system records the 40 that became applications.	All 300 are captured: what was asked for, what was declined, and why the other 260 did not proceed.
Agency SaaS for internal DSAs	DSA performance is judged on applications submitted, with no view of the activity behind the number.	Engagement activity is measured per agent, sales events are standardised, and friction becomes visible.

Illustrative examples. Replaced with the institution's own volumes during a pilot scoping session.

Our distribution mechanism

What our agents actually do

Agents are not trained to master complex loan products and underwriting. They are trained to be findable, and to manage inquiries using the agency technology.

01

Solution discovery

Helping a customer identify a financial solution that suits their stated need and preferences.

02

Application facilitation

Helping the customer determine eligibility against your rules and submit a complete application.

03

Service and access point

Helping a customer access a specific institution when they already know which provider they want.

The institution owns the product expertise and the credit decision. The agent owns the customer interaction.

Traditional agency model

Product › Agent › Prospect › Pitch › Application

mBenki agency distribution model

Customer › Need › Discovery › Matching › Choice › Qualified application

Engagement mode 1

Institution mode

The customer knows the institution they want. The agent facilitates access to that institution's solutions and takes them through the application.

Engagement mode 2

Solution mode

The customer knows the need but has no provider in mind. The agent captures it, facilitates matching and discovery, then supports eligibility and application.

Network strategy

From field roaming to sustained community presence

Entrepreneurs, retail businesses and existing mobile money agents become persistent financial access points inside communities, rather than temporary sales capacity moving from prospect to prospect. Community partnerships give the network low-cost scalability, and non-exclusivity keeps agent economics sustainable.

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The technology — mBenki Nexus

Two agency apps and one web console

What an institution configures is what agents and consumers see in the field.

mBenki Lead Manager

Web application — institution side

Create a profile and configure offerings
Set eligibility and product parameters
Application calendar and pipeline records
Agent map, field activity, analytics, commission

mBenki Pro

Agency app — human agent

Facilitates access on behalf of partner institutions
Needs capture, matching, discovery, screening
Application creation, submission, pipeline

mBenki Go

Agency app — digital self-serve

For consumers who prefer to self-serve
Same workflows, same structured data
Institutions discoverable across the market

Three service modules behind the apps

01

Lead Generation

Solution matching from captured needs
Solution discovery by preference
Eligibility verification against your rules
Application with KYC and assessment documents

02

Market Intelligence

Every interaction becomes a data package
Demand signals from sales events, not just closed applications
Need first, then solutions, then preferences
Aggregated as business intelligence

03

Agent CRM

Monitoring from onboarding to productivity
Agent digital IDs for credibility
Verification by code or QR for consumer safety
Consumer ratings of agent performance

The system holds the rules, not the agent. The result is a qualified application, not a phone number.

In summary

What an institution gets

Sustained community presence

Physical touchpoints where you have no branch, built on businesses already trading in the community.

Low-cost scalability

Distribution grows by activating existing businesses as agency partners, not by opening locations.

Qualified applications

Customers arrive profiled, matched and screened against your own eligibility rules.

Market demand signals

Structured intelligence from every interaction — including the customers who did not proceed, and why.

Visibility into your own teams

Measure DSA productivity, standardise sales events, see where operations lose customers.

You keep the credit relationship

Agents facilitate access. You own product expertise, the lending decision and the customer.

Commercial proposition

You pay as the network produces

Pay for performance

Commission system

Qualified lead generation

Agents are paid commission for successful lead generation
Your own commission structure applies
Configured by you on the mBenki Lead Manager
Cost follows production

Pay for value delivered

Credit system

CIMS and Agency SaaS

Credit points applied against interaction records created
Consumed as your teams capture interactions
Usage-based, tracking real engagement volume
Balance visible on the console

Neither model asks an MFI to carry fixed distribution cost ahead of results. Rates and pricing are agreed at scoping.

Getting started

Four steps to come on board

01

Profile

Create your institution profile on the Lead Manager.

02

Configure

List offerings, set eligibility and product parameters.

03

Activate

Attach internal DSAs, agency partners, or both.

04

Operate

Receive qualified applications and read demand signals.