All work

aRTi AI Leadership Trainer — personalized growth plans at scale

Up to 33% retention lift · 60–200% eNPS gain across customers

Every manager needs a coach. $400/hr makes sure most don't get one. aRTi is what we built instead.

The problem

Most managers never get formal feedback on how they manage. Leadership coaches cost orders of magnitude more than orgs can afford to give every people-manager. Rising Team's mission — equip every manager to lead more engaged, connected, and successful teams — required an AI that delivers something close to a personal coach for every manager.

The approach

aRTi (Rising Team's AI Leadership Trainer) is the umbrella product. It runs a manager through:

  1. AI intake. Captures team context, strengths, blind spots, and development goals.
  2. Personalized growth plan. Generated from the intake, adapted as managers complete sessions and as their team's pulse changes.
  3. Skill-building loop. Three modes — AI Roleplay (practice), AI Coaching (real-challenge problem-solving), and live Team-Building Sessions (synchronous group work).
  4. Auto-scheduling. Calendar-aware (Google Calendar, Outlook, Slack, Teams, SSO) — sessions get scheduled around the manager's actual workday.
  5. Progress + adaptation. A dashboard tracks completion and signals; the plan re-tunes as data comes in.

I'm a senior engineer on the team that ships these features against the core platform services.

Stack

Python · Django · React · TypeScript · LangChain · OpenAI · Anthropic · Gemini · Pinecone · PostgreSQL · ElevenLabs · AWS

Outcomes

Across customer cohorts using the broader Rising Team platform:

  • Up to 33% boost in employee retention.
  • 20–100% increase in manager effectiveness.
  • 60–200% increase in eNPS scores.
  • 22–75% lifts in engagement scores.
  • 9 out of 10 likelihood-to-recommend score from team members.
  • Used by leaders at Adobe, Google Cloud, Meta, Microsoft, LinkedIn, Disney, Cisco, Visa, Indeed, Bank of Hawaii, Yahoo, DXC, Hershey's, Aramark, and more.

What I learned

  1. Integration breadth drove adoption more than feature depth. Day-1 Calendar/Slack/Teams hooks meant managers stayed in the loop without context-switching. Skipping that for "more AI" would have killed adoption.
  2. The intake is the product. Every downstream prompt anchors to it. Investing in a calmer, less interrogative intake UX paid back across every feature.

Public

risingteam.com/ai-trainer →

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