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Bringing performance management to the age of AI at Faculty: Inside Faculty AI's org-wide adoption of Taito.ai

Taito Team ·
Bringing performance management to the age of AI at Faculty: Inside Faculty AI's org-wide adoption of Taito.ai

Bringing performance management to the age of AI at Faculty

Inside Faculty AI’s org-wide adoption of Taito.ai.

Faculty AI at a Glance

  • Headquarters: London, United Kingdom
  • Employees: ~400
  • Industry: Artificial Intelligence
  • Focus Areas: Government, Energy, Life Sciences, Consumer, Defence
  • Website: faculty.ai

About Faculty

Founded in 2014, Faculty evolved from an academic training program to a provider serving 300+ global customers with software, consulting, and fellowship programs. Leadership includes veterans from government, academia, and major tech companies. Funding exceeds £40 million from investors including Apax Digital Fund, LocalGlobe, and Jaan Tallinn (Skype co-founder).

Key Results

  • End-to-end performance cycle automation across 309 employees
  • 50% increase in platform utilization versus pilot phase
  • Weekly feedback volume: 185-300 points among 309 employees
  • Significant time savings for managers, HR, and individual contributors
  • 1:1 meetings and reviews powered by live data insights

Implementation Timeline

  • Winter 2024: Pilot with 20 employees
  • Spring 2025: Company-wide rollout to 309 employees across all departments

The Challenge

Faculty faced rigid, twice-yearly review cycles creating administrative bottlenecks and delaying meaningful development conversations. The organization needed continuous feedback integration without increasing manager burden.

The Solution

End-to-End Automation

The system automates self-reviews, manager evaluations, post-review calibration, performance analytics, and insights generation through AI.

Continuous Feedback Model

Real-time weekly feedback replaced manual peer collection windows, reducing recency bias during evaluations while maintaining lightweight formal review cycles.

Personalized Coaching

AI-generated dynamic 1:1 agendas and growth discussion prompts tailored to individual feedback and goals ensure consistent, focused development conversations.

Tool Integration

Taito.ai integrates with HiBob HRIS for employee data sync and Pave for compensation modeling, creating a unified performance and pay alignment system.

What Leaders Are Saying

“Rolling out Taito across the organisation resulted in the smoothest performance review cycle we’ve run to date. It helped us save significant time…”

Andy Brookes, CTO

“With Taito, we’ve automated the heavy lifting of reviews, while still keeping the human element front and centre.”

Rebecca Welch, Head of People Operations

What the Team Is Saying

“The requirement to write feedback down in Taito has encouraged more thoughtful approaches, ensuring encouragement and specific examples…”

Individual Contributor

“The system is intuitive and easy to use…I now spend less time filling in forms and more time having meaningful conversations.”

Manager

Future Direction

Faculty is expanding Taito.ai automation to onboarding and probation processes, positioning it as a comprehensive platform for performance, coaching, and development across the entire employee lifecycle.