Portfolio
Most of the money lost on a technology engagement is lost in the gap between a promising pilot and a system somebody can actually run. What follows sits on the other side of that gap: 8 systems taken from an empty repository to something finished. 3 are full platforms in regulated domains, built and owned by IntellaGrow and not yet commercialized. 5 are client sites running today. All of them were built end to end by the person you would be working with.
What this page is evidence of
A stalled build costs twice. The budget is already spent, and so is the quarter of internal capacity your team gave to a pilot that never became a system. The second cost is usually the larger one, and it never shows up on an invoice. It shows up as a team that has stopped believing the next project will land.
What lowers that exposure is not a methodology. It is whether the person leading the work has taken a system all the way to production before, in a domain where the rules are not optional. Everything below was designed, built, and shipped end to end by IntellaGrow: the data model, the permissioning, the approval flow, the hosting, and the disclosure and compliance steps each domain requires.
The same hand built PresidioFlow, the record-repair system for regulated batch data exchange. It is validated in testing, and it has a page of its own.
Platforms IntellaGrow built
These are platforms IntellaGrow designed and built. They are not client engagements, and none of them is commercialized yet. Built and operating, not yet marketed: no subscribers, no revenue, and no usage figures to report. They are here as evidence of range and of delivery, and nothing more.
Read them as range rather than as results. A law practice, an elder-care agency, and a college athletics compliance office each run on rules a generic product cannot absorb, which is exactly why each of them is expensive to serve with spreadsheets and staff time. Each one here was carried through to a working system rather than a demo.
A law firm in a box: one system an attorney can run an entire practice from.
A legal practice platform built so that a single attorney, or a small firm, can run the whole practice from one system instead of stitching together a matter tracker, a document store, a calendar, and a billing tool. It was designed with direct input from a practicing attorney, so the workflow follows how the profession actually operates.
No public site published yet
Matches caregivers to clients on personality and preference fit, not on who happens to be free.
An elder-care platform aimed at the two numbers that decide whether an agency survives: employee turnover and client churn. It matches caregivers to clients on personality and preference fit rather than on availability alone, on the premise that a placement both sides are comfortable with is the placement that lasts.
Name, Image and Likeness deal management for college athletes and the administrators accountable for it.
A platform for college athletes and college sports administrators to manage Name, Image and Likeness deals in one place, with the disclosure and approval steps the governing regulations require built into the flow rather than tracked in a spreadsheet after the fact.
Delivered client work
A site that has to be rebuilt soon after launch is the most avoidable cost in this category, and the usual cause is work handed over half-finished. These went live and stay live under the client's own domain. Scope agreed, work completed, keys handed across. What follows is a description of each build. None of them carries a traffic, ranking, or conversion figure, because no such figure has been verified with the client, and an unverified number is worth less than an honest sentence.
A site for a CRM and technology services firm.
An author site built around Peter S. Parsonson and his book.
A practitioner site for a QHHT, Quantum Healing Hypnosis Technique, practice.
A travel site for a catamaran sailing operation.
A site for a fishing guide and charter operation.
This page shows that the work gets finished. The case studies show what the work was worth: the decision each system improved, what it costs to run, and what came back against that cost.