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96%of more than 37,000 credit applications, evaluated with no manual intervention.

We built the technology behind Toperty's operation, from first contact to managed property: a credit engine, an in-house CRM, WhatsApp and voice agents, market data and contracts.

Client
Toperty
Industry
Financial services and housing
Country
Colombia
Services
Processes and decisions · AI agents · Custom software · Documents and filings
Scope
All the technology behind the operation, from first contact to managed property

Families

100+

families financed

Capital

USD 10M

deployed

CRM

8,300+

leads across 11 programs

Funnel

60%

of funnel movements are made by automations

Fig. 01 — Rent-to-own

01The client

Home financing through rent-to-own.

Toperty is a Colombian home financing company. Families live in the home they are buying while they save for the down payment. We built all the technology behind its operation, from first contact to managed property.

02The challenge

A full credit operation, run by a team of 11.

Every family goes through prospecting, application, credit review and contract, and every home needs a valuation. Doing all of that by hand doesn't scale with a team that size.

Toperty team

11

people for the whole operation

03What we built

How the process connects.

From first contact to managed property, every piece of the process has a system working on it.

Tap each piece to see what we built there.

  • An in-house CRM holds the leads from 11 programs. Automations make most of the moves in the funnel.

    60% of funnel movements, automated

    Automatic

Fig. 02 — Toperty's process map

Five systems in production

  1. 01

    Credit engine

    Evaluates every application and runs the credit review: AI reads the documents and the policy is applied as rules.

    96% with no manual intervention

  2. 02

    In-house CRM

    Leads from 11 programs, dashboards for partner builders, and automations that move the funnel.

    8,300+ leads

  3. 03

    WhatsApp and voice agents

    They talk with leads and families, following rules defined with the legal team.

    WhatsApp and voice

  4. 04

    Market data

    Close to 1 million listings in 40 cities, and a comparables-based valuation for every home.

    40 cities

  5. 05

    Contracts

    Contracts with about 200 variables, generated in seconds.

    ≈ 200 variables

04How it works

One application, from first contact to managed property.

Rules handle what's predictable. AI reads the documents. A person reviews whatever doesn't fit.

  1. 01First contactThe lead lands in the CRM and the WhatsApp and voice agents take it from there.With AI
  2. 02ApplicationThe credit engine evaluates the application against the policy, written as rules.Automatic
  3. 03Credit reviewAI reads the documents and the rules decide. What doesn't fit is reviewed by a person.A person approves
  4. 04ValuationThe home is valued against comparables, using data from close to 1 million listings.Automatic
  5. 05ContractThe system generates the contract, with about 200 variables, in seconds.Automatic
  6. 06Managed propertyThe family lives in the home it is buying, and the property is managed in the same system.Automatic

05Results

More than 100 families financed, with a team of 11.

Applications

37,000+

credit applications evaluated

No intervention

96%

evaluated with no manual intervention

Market

≈ 1M

listings analyzed in 40 cities

Team

11

people across Toperty's whole operation

Before

Without the system, every application, valuation and contract would depend on someone on the team.

After

96% of applications are evaluated with no manual intervention, and every contract comes out in seconds.

06Time and team

Scope
First contactManaged property

All the technology behind the operation, for a team of 11.

07Technology

  • WhatsApp
  • Voice agents
  • AI document reading
  • Rules engine
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