Wakari. An accessibility technology platform · founder-facing AI advisory
The founder knew the product and had a fixed budget to build it with, without the engineering background to buy it safely. OpenKit advised on the AI side of it, from the first prototype through to choosing the developer who would build the platform.
Advisory, no build Fixed budget held Platform live
What the founder needed.
Wakari is an accessibility technology platform. The idea was to replace a spreadsheet-based questionnaire with something people could answer in their own words, and the founder had the product clarity for it without an engineering background. The budget was fixed and had to cover the whole build, which put weight on every early decision.
OpenKit's part was strategic AI consulting and an implementation roadmap, shaped around keeping the founder in control of what the budget was spent on. Wakari launched after the engagement closed; the build was carried out by others.
- 01
The conversational pattern was tested with prototypes cheap enough to throw away, before any development budget was committed.
- 02
The founder came out of it able to read a quote and challenge a recommendation.
- 03
The engagement stayed inside the original fixed budget, which was the constraint the whole approach was built around.
How the advisory ran.
Each decision was proved cheaply before the next one was paid for.
- 01
Prototypes that tested the idea cheaply
A custom GPT and low-code prototypes put the spreadsheet-to-conversation idea in front of real people, so the concept earned its place before any development budget was committed.
- 02
AI vocabulary for a non-technical founder
How language models work, where they fail and what they cost to run, which is the vocabulary a founder needs to brief a developer and challenge a recommendation without an engineer translating.
- 03
A framework for choosing a build partner
A red-flag framework for evaluating development partners, so the choice was made against evidence the founder could check.
- 04
A staged route the budget could carry
Scope documents and a staged validation route that proves each decision before committing to the next, which is how a fixed budget survives an AI project.
What the advisory used
- Custom GPT prototype path
- Low-code prototyping
- Proof-of-concept evaluation
- Vendor-management framework
OpenKit certifications
- ISO 27001
- ISO 9001, UKAS-accredited
- Cyber Essentials
Controls on this project
- WCAG 2.1 AA target
More of the work.
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