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AI strategy for an accessibility app

Wakari · AI strategy and an implementation roadmap

OpenKit advised Wakari’s founder on the AI side of the platform, from the first prototype through to choosing the developer who would build it. The work stayed inside the original fixed budget.

The Wakari platform: its marketing site above the review dashboard, shown in a browser window against a sculpted terracotta backdrop

Overview

The idea behind Wakari, an accessibility technology platform, was to replace a spreadsheet-based questionnaire with something people could answer in their own words. The founder knew the product clearly but had no engineering background. The budget was fixed and had to cover the whole build, so every early decision carried weight. OpenKit provided strategic AI consulting and an implementation roadmap, shaped around keeping the founder in control of what that budget was spent on.

Platform live

Wakari launched after OpenKit’s work finished, built by the developer the founder chose

Fixed budget held

The work stayed inside the original fixed budget

Prototypes first

Throwaway prototypes tested the idea before any development budget went out

WCAG 2.1 AA

The accessibility standard the project targeted

Approach

What the advice covered

  • A custom GPT and low-code prototypes that put the idea in front of real people.
  • How language models work, where they fail and what they cost to run, which is the vocabulary a founder needs to brief a developer without an engineer translating.
  • A red-flag framework OpenKit wrote for judging development partners, so the founder could test a pitch against evidence.
  • Scope documents and a staged validation route the founder could hand to a developer, with each stage proved before the next one was paid for.

Result

What the founder came away with

By the end the founder could read a quote and challenge a recommendation, and chose the developer who would build the platform.

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