AI Planned and Built
by Someone Who Runs It
Most AI projects end as a slide deck or a demo that breaks on real data. We build AI that works with real users, based on the AI service we run in production at RenovationRoute.
Three Ways We Help
Fixed scope, one senior engineer, priced on a call.
AI Assessment
Where AI is already used in your company, the data and vendor risks, and which AI ideas are worth building. A straight answer before you spend real money.
- → Risk-ranked written report
- → What to build first, ranked
- → Walkthrough with your leadership
AI Build Sprint
We pick the AI use that pays off most, build it with your team, and put it in front of real users. Working software, not a roadmap.
- → Working AI, live with users
- → Quality tests, monitoring, cost limits
- → Guides and handoff to your team
Shared AI Platform
For companies with several teams using AI. One gateway, one set of rules, shared building blocks, so each team does not start from zero.
- → One place for AI traffic and costs
- → Clear rules for data and vendors
- → Faster builds for the next team
How a Build Sprint Runs
Week 1: Pick the use
A workshop with your leaders. We list the realistic AI uses and pick the one worth building first.
Weeks 2 to 8: Build it
Prototype on your real data by week four, then connect it to your systems with cost limits, monitoring, and safeguards.
Weeks 9 to 12: Go live and hand off
Roll out to real users, tune it, and train your team so they own it after we leave.
The Proof
We Run AI in Production
RenovationRoute turns a homeowner’s plain-language project description into a scope a contractor can bid on. Real users, real money.
Quality tests first, cost caps, defenses against people tricking the AI, and a backup path when it is wrong or down.
Some problems need a rule or a script, not AI. We will tell you, even if it shrinks the work.
Talk to someone who has actually shipped this
Thirty-minute call. We figure out which option fits, or whether none do. No sales pitch.