What we have built

Case studies

• Ohana Events

  For Zapejo, Inc. Web and mobile product.

  An independent guide to the unofficial events around Salesforce conferences, with RSVPs, host‑approved guest lists, and QR check‑in at the door. One codebase runs the live web app and builds the iOS and Android apps.

  Includes

  Event guide and map; RSVPs and approval lists; QR door check‑in; Web, iOS, and Android from one codebase

  Read the case study on Ohana Events

• Website knowledge agent

  For Maple DX. Website AI agent.

  A chat‑first version of a company website. An AI agent answers questions about the firm from approved content and broader Salesforce questions from its own knowledge, gauges whether the visitor is a good fit, and offers a booking calendar.

  Includes

  Firm answers from approved content; Guardrail test battery; Fit scoring; Booking hand‑off

  Read the case study on Website knowledge agent

• CRM and lead‑enrichment integration

  For Legislative View. Systems integration.

  A service that connects a lead‑enrichment tool to a CRM. New prospects, replies to outreach, and requests from the website arrive in the CRM as linked records, and each reply or request comes with a task and a due date.

  Includes

  Enrichment‑to‑CRM sync; Follow‑up tasks for replies; Website request intake; Dry runs and canary runs

  Read the case study on CRM and lead-enrichment integration

• Website rebuild engine

  A product we built. Website product.

  A web app that runs a complete website for a local business on its own domain. Our team builds each site from the owner’s answers and the business’s details, and after launch Claude, Anthropic’s AI model, turns the owner’s plain‑English change requests into small content changes, with anything risky checked by a person first.

  Includes

  Sites built from a business’s own details; Plain‑English change requests; A person checks risky changes; Hosting on the business’s own domain

  Read the case study on Website rebuild engine

• AI outbound engine

  For Maple DX. AI sales outreach.

  A system that researches each prospect company, sets aside poor fits, drafts a first message and checks it against that research, and passes every reply to a person in Slack.

  Includes

  Account research; Fit screening; Draft fact checks; Reply alerts in Slack

  Read the case study on AI outbound engine

• AI content engine and lead‑capture website

  For Maple DX. Website and AI content engine.

  A company website with a content engine built in: it gathers industry news, scores each story, and drafts posts in the firm’s voice for a person to approve. Its forms turn each inquiry into a CRM lead, with spam screened out first.

  Includes

  News gathering and scoring; Drafts in the firm’s voice; Approval before publishing; Spam‑screened CRM leads

  Read the case study on AI content engine and lead-capture website