Implementations were taking 13 months.

Selector found the onboarding workflow where custom software could change that, then built the first operating foundation around implementation state, decisions, and blockers.

Problem

Implementation state was scattered.

Reconstructing state, decisions, and blockers by hand cost roughly a full-time employee per client — and kept every onboarding slow and bespoke.

Goal

From ~13 months to ~6 weeks.

Cut the time to take a sold customer live by an order of magnitude — by making onboarding work visible, reusable, and software-driven, not by adding process.

Solution

An onboarding operating foundation.

A web application, knowledge layer, data intake, templates, learning loop, and advisory support — projected to pay for itself within ~3 months.

Getting customers live took up to 13 months.

Turning a sold customer into a live, successful one depended on implementation state, decisions, and blockers that had to be reconstructed by hand every time.

Where the time went

Teams manually reconstructed customer and implementation context
Open questions, blockers, and ownership were hard to see
Repeated customer patterns never became reusable assets

What it cost

Every implementation started close to scratch — roughly a full-time employee's worth of effort per client, and up to 13 months to go live.

The reusable pattern.

This is the Selector pattern when a valuable internal workflow is too important to leave scattered across meetings, documents, tools, and memory.

Diagnose

Find where the work breaks.

Identify where teams reconstruct context manually and which workflow is worth turning into software.

Shape

Define the first useful system.

Bound the first build around state, intake, review, visibility, and reuse instead of trying to solve everything.

Build

Make it usable against live work.

Create the application surfaces, data model, knowledge foundation, workflow controls, and review loops.

Learn

Turn usage into leverage.

Use real implementation facts to improve templates, decisions, operating patterns, and the next layer of software.

You leave with a system, not just a recommendation.

Talk through a workflow