Missed-call text-back workflow
A roofing company needed faster follow-up when calls were missed. Websage built a text-back workflow that routes replies to the team.
Systems and work
This page separates working capabilities, private experiments, candidate outcome stories, live client websites, and demonstration work. Numerical outcomes stay unpublished until approved evidence supports them.
AI and automation systems
Each entry names the operating problem, the build, the role for human review, and the current evidence status.
A roofing company needed faster follow-up when calls were missed. Websage built a text-back workflow that routes replies to the team.
A scheduling and route application for mobile service professionals.
Problem: businesses need a bounded way to inspect how consumer AI products describe them at a point in time. Offer: Websage manually captures 25 fixed buyer questions in ChatGPT and Claude, verifies sources, and prepares a prioritized fix list.
Groups opted-in customers by product interest and alerts them when selected inventory arrives. Store staff select products and approve each send.
Problem: source documents need to become usable destination records without bypassing operational review. Build: documents are parsed into proposed records, staff reconciles them, and only approved records enter the destination workflow.
Website execution proof
Website work shows research, design, and implementation quality. It is separate from AI consulting outcome evidence.

Websage designed the brand mark and built the public website around the store’s location, hours, selection, and contact path.
View live site
A demonstration of how an asphalt business could present project imagery, before-and-after context, starting-price guidance, and a direct estimate path.
View demonstration
A demonstration for a garden design business, using clean typography, botanical details, seasonal context, and a consultation path.
View demonstrationProof boundary
Working tools and beta systems can demonstrate research, implementation, and operating judgment. They do not establish customer savings, adoption, or ROI by themselves.
Candidate outcome stories remain evidence pending until supporting material is reviewed and approved for publication.
Free 15-minute AI fit call
We will discuss the current problem and decide whether assessment, implementation, website work, or no project is the right next step.