Earlier career

A fast-growing food-tech platform that kept quality as it scaled

Quality coverage rose from 3% to 25–30%, and new agents ramped up 30–35% faster.

Led by Amir Nair before he founded Amanstra. This was not an Amanstra engagement.

Data and AI

In numbers

3% to 25–30%quality coverage
40–50% lowervariance in evaluation
30–35%faster ramp-up for new agents
< 24 hrsfeedback, from 7–10 days

The situation

A food-tech platform expanded across cities and partner vendors, with thousands of tickets a day. Manual audits covered only about 3% of interactions and varied between internal teams and partners. Feedback arrived 7–10 days late. New hires had no structured way to be certified as ready.

What we did

  • Introduced an AI quality system that monitors and evaluates interactions daily.
  • Built scorecards, evaluation rubrics and automated feedback.
  • Built one dashboard covering accuracy, errors, agent trends and partner quality.
  • Added an automated onboarding and certification module.

The result

  • Quality coverage rose from 3% to 25–30%.
  • Variance in evaluation fell 40–50%.
  • Feedback cycles fell from 7–10 days to under 24 hours.
  • New agents ramped up 30–35% faster.

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