Third South Solutions | Find $50k of AI Opportunity or It's Free

Case Studies

Field service

How a Scaled MSP Cut Monthly Scheduling from 35 Hours to Under 3

A scaled MSP was coordinating more than 110 monthly client visits in one spreadsheet. Third South Solutions turned that 35-hour manual process into a scheduling tool the operator can run and adjust themself in less than 3 hours.

35hrs to 3 Monthly visit coordination

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Insurance

Built a Teams Bot for Accurate Sales Quoting

An insurance brokerage relied on a PDF library, OneNote files, and unwritten rules to quote new business. We built a Teams bot that answers team member questions accurately, while citing its sources. The brokerage owns the system and its rule base, with no lock-in to us.

7,000+ rules Extracted from the document library

Portfolio company

Cut a Cost-Spike Investigation From Hours to Minutes

A hung process quietly racked up thousands of dollars in AI API charges overnight before anyone noticed. With 18 AI services sharing a handful of API keys, finding the culprit meant hours of log spelunking.

2 hours to 2 minutes Time to find a cost spike

Portfolio company

Built 14 Watchdogs So Problems Get Caught Before Customers Do

A small team running a legacy platform was purely reactive: problems surfaced only when a customer emailed angry. Underpayments and stuck jobs went unnoticed for days.

14 checks Running continuously

Portfolio company

Replaced a 20-Year Legacy Platform Without Losing a Customer

A 15-year-old platform run by one irreplaceable engineer was shrinking as customers left for competitors. Outside estimates put a rebuild at $250,000 and 2 to 3 years.

-15% to +50% Change in yearly growth

Portfolio company

Turned Bug Reports Into Reviewable Fixes While the Team Slept

A four-person team was stuck waiting on itself: a customer bug meant a support agent filed a ticket, then an engineer had to drop everything to reproduce, diagnose, and fix it, often over days.

Days to 15 minutes Ticket to reviewable fix

Portfolio company

Cut a Weekly Sourcing Grind From 10 Hours to 10 Minutes

One person was manually scanning six platforms for opportunities, vetting each one, and getting it in front of the right audience.

10 hrs to 10 min Weekly review time

Who We Serve

We partner best with firms with 30+ employees and more than $5 million in revenue.
We work with businesses who see opportunities to deploy AI for good in their organization, no matter what stage of AI deployment they are in.
If you are a non-profit looking for low bono or pro bono work, please contact us.

We are not a fit for sub-$5M firms still testing whether AI is real, or for teams that want AI to replace their people.

What We Believe

AI should support people, not replace them. We build tools that help people do more work that matters. If a project's goal is cutting jobs, we're not the right firm.
Effective AI needs shared buy-in. The most effective projects create shared excitement on your team.
People in the loop. AI can save your team time, but important decisions remain theirs.
Ownership stays with you. From training to data, we believe core competencies and operations should live with your organization, not ours.
AI deployment must be thoughtful. Not all projects are a good fit for AI. We focus on the ones that are.

Where to Start

Most organizations move through four stages, and we meet you at whichever one you're in.

Stage 1: Thought partner. Use AI to ask questions, not connected to any systems. Someone pastes data into ChatGPT and copies the answer back by hand.
Stage 2: Assistant. Tools are wired into your internal systems and data, reading your source documents and learning your organization.
Stage 3: Teammate. AI runs workflows on its own, reviewed by your team at checkpoints you define.
Stage 4: System. High-impact, complex workflows run end to end and improve over time. Rare, and usually the last stage we reach with a client, not the first.

We don't charge for getting to know you. That would be ridiculous.

Book free office hours

Who's Behind This

Colin Burns, public markets and capital allocation.

Justin Duke, software engineering and SaaS.

Myles Marino, early-stage operations.

Harrison Roday, business operations, finance, and deal execution.

We find your team $50,000 of AI opportunity, or the process is free.

Case Studies

How a Scaled MSP Cut Monthly Scheduling from 35 Hours to Under 3

Built a Teams Bot for Accurate Sales Quoting

Cut a Cost-Spike Investigation From Hours to Minutes

Built 14 Watchdogs So Problems Get Caught Before Customers Do

Replaced a 20-Year Legacy Platform Without Losing a Customer

Turned Bug Reports Into Reviewable Fixes While the Team Slept

Cut a Weekly Sourcing Grind From 10 Hours to 10 Minutes

Who We Serve

What We Believe

Where to Start

Who's Behind This

Ready to Start?