Kindo
Kindo is an AI platform built for enterprise companies to adopt and manage AI at scale while ensuring data security and empowering digital collaboration.
The default interface for AI experiences is the classic chat box. For Kindo, the challenge was thinking beyond that. We wanted to build a more robist experience that considered the ways in which enterprise users need structure, repeatability, and ease of access to integrate AI into their existing workflows.
We partnered with Kindo to shape a product vision that builds user trust in AI with the goal of expanding customer reach and driving enterprise adoption. Working with a start-up, we needed to be nimble, focused, and fast — getting up to speed quickly and making confident, (but well-informed) decisions so that we could get their engineers something to build and show their stakeholders.
The core design work was rethinking the interaction model. We kept the chat interface for open-ended prompts, but built a workflow system alongside it. We designed repeatable, structured AI-driven processes that teams could create, share, and build on, while still interfacing with an agent through chat when needed. The AI could surface relevant workflows contextually, offering validated help at the right moment, based on the documentaion already existing within a company’s ecosystem.
We also designed the admin layer: model management, privacy filters, security controls — the infrastructure that lets enterprise admins actually trust what’s running in their organization.
Zara Evans, Winnie Chiu, Drew Mintz