>99%
Bill reading · contractor payments platform
- Result
- Over 99% of bills read into structured data for pennies each; about three quarters never need a person.
- Who stays in control
- The rest reach a person with the reasoning attached.
Case studies
Results, not demos
LOGITRON AI is a new company. Everything here was built by our founders in previous roles. Client names are under NDA; what the agents did, and where people stay in control, is not.
AI agents
Where our founders’ agents work today
Minutes
Renewal quoting · insurance agency
- Result
- Each policy re-rated across carriers with the client email drafted; quoting per case cut from about half an hour to a few minutes.
- Who stays in control
- The account manager approves every send.
Same day
Lead intake · bilingual advisory firm
- Result
- Email, WhatsApp and partners’ voice notes sorted, deduplicated and handed to the right partner in Slack, the same day.
- Who stays in control
- Each request lands with the right partner in Slack.
Every line cited
Meeting agent and AI project manager · consulting firms
- Result
- Calls become briefs where every line points at the transcript, and board changes are proposed from them.
- Who stays in control
- The founder approves each change from a card.
Seconds
Voice assistant · industrial training
- Result
- A technician asks, and the headset answers in seconds.
- Who stays in control
- People approve the procedure; the agent answers only from it.
Your process next
Find your first process
A free 30-minute call with a founder.
Book a free 30-minute callFounders’ track record
What our founders built before LOGITRON AI
Up to 5×
engineering throughput
Technology company: AI-native development across 100+ engineers
- Challenge
- A large engineering organization needed to deliver more without a matching increase in headcount.
- What we did
- Introduced AI-native development practices across the engineering organization: new workflows, tooling, code-review rules and quality controls.
- Why it worked
- AI took over routine coding, while engineers kept ownership of architecture and review — so output grew without losing quality.
−65%
infrastructure cost · 99.99% uptime
Telecom: Voice AI products in production
- Challenge
- A telecom business needed to launch Voice AI products while keeping infrastructure costs under control.
- What we did
- Designed and shipped Voice AI products and rebuilt the infrastructure behind them.
- Why it worked
- Cost and reliability were treated as product requirements from day one, not as fixes after launch.
2 rounds
of funding in one year
Product startup: from idea to investor-ready product
- Challenge
- A strong product idea with no financial model, no go-to-market plan and no team to deliver it.
- What we did
- Product strategy, a financial model, go-to-market strategy, team hiring, AI integrations, and the web and mobile versions of the product.
- Why it worked
- Investors saw a working product and a model they could check — not just a pitch.
LOGITRON AI is a new company. These are the founders’ results from previous roles. Client names are under NDA; the numbers are not.
Start with one process. Two to four weeks. One AI agent live in production.
You don’t need a full transformation to see whether AI works for your business. Pick one process that eats your team’s time, and we will build, secure and launch the solution with you.