From manual friction to operating systems

SHERPA EXTRACTION 3mo → 1wk
PER AUTOMATION CYCLE 10h saved
DAILY LEAD ROUTING 13 agents
HEALTH PORTAL REPORTS 2× / week

What we build

Simple systems for messy operations.

We turn scattered insurance workflows into measurable operating infrastructure: data enters cleanly, decisions move faster, and teams see what is happening before it becomes a problem.

Map your process
01 / Core infrastructure

Data Systems

Scraping bots, ETL pipelines, GHL workflows, forecasting, and dashboards.

Build the pipeline
02 / Workflow surfaces

Web Apps

Performance trackers, portals, reservations, ecommerce, and internal tools.

Design the tool
03 / Market entry

Landing Pages

Clean coded pages for teams that need a fast, credible web presence.

Launch faster

Live systems

What we actually build.

Simplified previews of production systems running today for US insurance agencies.

Agent Tracker
ACTIVE 4/6 BREAK 1 OFFLINE 1 AVG APPTS 7.2
JM

Juan Martínez

Appts: 9 Calls: 24

ACTIVE
LP

Luisa Peña

Appts: 11 Calls: 31

ACTIVE
SA

Sofia Arango

Appts: 7 Calls: 18

ACTIVE
CR

Carlos Ruiz

Appts: 5 Calls: 11

BREAK
DM

Diego Mora

Appts: 6 Calls: 16

ACTIVE
VT

Valentina Torres

Appts: 0 Calls: 0

OFFLINE
LAST UPDATED · 11:24:07 AM · AUTO-REFRESH 60s

Proof of work

Live systems.
Real results.

Production systems running today for real clients.

3mo → 1wk

Manual Sherpa extraction took 5–10 agents months of work. Our bot does the same in 7 days — and runs it daily.

BEFORE
~90 days
AFTER
7 days
DATA EXTRACTION · AUTOMATION 3mo → 1wk

Sherpa Scraping Bot

Replaced months of manual portal work by a 5–10 person team. Bot runs daily cycles that were previously impossible.

PYTHON · SCRAPING · AUTOMATION
CRM · LEAD MANAGEMENT 13 agents · daily

GHL CRM Pipeline

Daily pipeline pulls, transforms, and assigns leads by round-robin to 13 agents. Zero manual routing — every day.

GHL · RAILWAY · ETL
WEB SCRAPING · HEALTH INSURANCE 10h × 2/week

Health Provider Reports

Portal bots generate 3 member reports twice weekly. XLSX + JSON pushed live to a business dashboard.

SCRAPING · JSON · MEDICARE
FORECASTING · LIFE INSURANCE 30 · 60 · 90 days

Chargeback Forecasting Model

Maps cashflow exposure and chargeback risk per policy. Foundation for future ML risk scoring.

PYTHON · FORECASTING · ML-READY
SALES OPS · ATTRIBUTION Source → close · full visibility

Lead-to-Sale Tracker

Maps every lead from source through pipeline to close. Agent attribution, source performance, conversion rates.

TRACKING · ATTRIBUTION · SALES OPS
LEADS
100%
CONTACTED
68%
QUALIFIED
34%
CLOSED
18%

OTHER WORK — Nuba Tours · ArtHaus · Ojo Sideral · Sluggers

Process

Find the friction. Build the system.

01

Map

Manual work, data sources, ownership, and risk.

02

Build

Focused automation with a fixed outcome.

03

Operate

Deploy, document, train, and improve.

Ready

Let's see what your
data could be doing.

45-minute discovery call. We walk through your current processes, identify where automation creates leverage, and give you a written diagnosis — free, no commitment.

Three-person team based in Medellín. Working inside Medicare, Medicaid, and private insurance workflows since 2023.

Book a discovery call

Or reach us at hola@crescendolabs.co