Case studies

Real systems, in production, measured.

Three of these are delivered, working systems with real numbers. The rest are blueprints for what we build next, clearly labeled, with typical modelled results.

Delivered

Financial services, collections

Email Automation for Collections Operations

A 15-person email team became a 2-person oversight team, and the system handles 2,400+ emails a day.

15 → 2

people on the workflow

4 min read

Operations, document processing

Intelligent Document Classifier

Routine invoice sorting and filing dropped from 2 to 3 dedicated staff to zero, at 500 to 800+ documents a day.

2-3 FTE → 0

on routine document sorting

3 min read

Non-traditional lending

AI Lending Intelligence Platform

200+ lender guideline PDFs became instant, plain-English answers, with 5-lender comparisons down from hours to under 2 minutes.

~97%

faster on single guideline questions

5 min read

Solution blueprints

What we build next, with typical results we engineer for, not delivered client outcomes.

Customer service, any vertical

AI Voice & Chat Assistants for Customer Service

A voice assistant that answers every call instantly, and a chat assistant that knows the customer's real account, not a script.

60-80%

of routine calls handled without a human

3 min read

Growing service and software companies

Company Operations OS

One system that runs the company's nervous system: every task, every call, every report, one live picture.

3-6 hrs/week

of reporting overhead removed per employee

4 min read

Any operations-heavy business

Workflow Automation Packs

The two delivered systems above started exactly this way: one painful workflow, automated end to end.

70-90%

of routine volume automated

2 min read

Have a similar problem?

Bring one painful workflow. Leave knowing if it is automatable.

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