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Agaton

Agaton

Agaton began as Astrid, a voice-based EdTech product with strong traction in classrooms.

As Design Lead, I led the transition from consumer education to enterprise AI — reframing the product, defining the strategy and shaping how proprietary speech technology could be applied in a commercial B2B context.

Role

Design Lead

Partners

Founders · Product Director · CTO

Focus

Zero-to-one product strategy · AI interaction models · Product reframing

Timeframe

2022 - 2023

The core challenge wasn’t technical capability. Agaton’s speech recognition technology was already proven in the classroom, with strong engagement and reliability.

The challenge was product-market fit. The existing interaction model, tone, and value proposition didn’t translate to enterprise use. For sales teams operating in high-stakes conversations, the product needed to feel predictable, trustworthy and clearly supportive — not playful or exploratory.

Working closely with the founders, I helped reframe the company’s direction from consumer education to enterprise AI. This meant redefining the audience, clarifying the commercial use cases and deciding how the technology should show up in a professional sales environment.

The focus shifted from demonstrating technical possibility to enabling real adoption — aligning product decisions with how sales teams actually work, communicate and assess risk.

A central part of the work was defining new interaction models for AI in a professional context. We deliberately reduced cognitive load, keeping attention on the conversation rather than the system.

Transparency and restraint became core principles. The AI was positioned as assistive rather than authoritative — augmenting human judgment instead of replacing it.

Throughout the process, I acted as a bridge between technical complexity and human understanding. Close collaboration with engineering was essential to translate probabilistic AI behaviour into interactions users could understand, trust, and rely on.

Decisions were made under high uncertainty, with limited precedent. Progress depended less on process and more on judgment — knowing when to prototype, when to commit and when to simplify.

Impact

Product-Market Fit

Successfully navigated the pivot from education to a commercially viable enterprise AI product.

Commercial adoption

Drove a significant increase in sales conversion for global telecom partners by reframing the product around trust, clarity and real-world sales workflows.

Operational efficiency

Enabled sales teams to work faster and more confidently, reducing churn and improving internal efficiency.

Impact

Product-Market Fit

Successfully navigated the pivot from education to a commercially viable enterprise AI product.

Commercial adoption

Drove a significant increase in sales conversion for global telecom partners by reframing the product around trust, clarity and real-world sales workflows.

Operational efficiency

Enabled sales teams to work faster and more confidently, reducing churn and improving internal efficiency.

Impact

Product-Market Fit

Successfully navigated the pivot from education to a commercially viable enterprise AI product.

Commercial adoption

Drove a significant increase in sales conversion for global telecom partners by reframing the product around trust, clarity and real-world sales workflows.

Operational efficiency

Enabled sales teams to work faster and more confidently, reducing churn and improving internal efficiency.