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

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

Faculty 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

Faculty, headquartered in London, transforms organisational performance through safe, impactful and human-led AI. Faculty has over 10 years’ experience helping customers reap AI’s benefits whilst managing the risks. Founded in 2014 with a training programme to help academics become data scientists, Faculty now provides over 300 global customers with software, bespoke AI consultancy, and an award-winning Fellowship programme. Their expert team includes leaders from across government, academia and global tech brands. They have raised over £40m from investors including The Apax Digital Fund, LocalGlobe, GMG Ventures LP, and Jaan Tallinn, one of Skype’s founding engineers.

Summary: Rolling out Taito.ai at Faculty

Following a pilot with 20 employees in Winter 2024, Faculty rolled out Taito.ai company-wide to support the performance management process for 309 employees across all departments during Spring 2025. The goal: to flatten the curve of performance activity between review rounds via continuous feedback, while saving time on traditional review processes and continuing to enable leaders to make informed decisions with data.

In the lead up to the review cycle, Faculty saw a 50% increase in Taito.ai platform utilisation and up to 300 feedback points shared weekly among 309 people. Taito.ai now supports end-to-end performance enablement, combining real-time feedback, personalisable 1:1 templates, and performance reviews.

Now fully embedded in Faculty’s performance tool stack alongside HiBob HRIS and pay modeling platform Pave, Taito.ai powers the company’s shift from traditional reviews to an integrated, continuous model that saves time, improves calibration, and enhances employee growth at scale.

The Challenge: From rigid reviews towards continuous performance enablement

Prior to Taito.ai, Faculty’s performance reviews were run only through rigid cycles, with most evaluations squeezed into narrow timeframes twice a year, and manual setup of legacy tools. This created administrative peaks that drained manager capacity and delayed meaningful growth conversations for employees.

Incremental changes to review frequency would have only increased the burden. Instead, Faculty sought a solution that would embed feedback and growth into the everyday flow of work, one that gave individuals ownership of their development while simplifying manager tasks.

“Rolling out Taito across the organisation resulted in the smoothest performance review cycle we’ve run to date. It helped us save significant time along every part of our review process from ratings, evaluations, and calibration, and was useful for both managers and individuals.”

— Andy Brookes, Chief Technology Officer at Faculty

How Taito.ai Made a Difference: Automating the end-to-end performance enablement process using AI

End-to-end performance cycle automation

After the pilot, Faculty rolled out Taito.ai across the company, automating key stages of the review cycle with AI: self and manager reviews, post-review calibration, performance insights, and analytics.

“Our goal has always been to make performance conversations lighter, more meaningful, and more frequent. With Taito, we’ve automated the heavy lifting of reviews, while still keeping the human element front and centre. It’s helped us scale feedback across the organisation, and allow for more meaningful and data-driven calibrations without adding burden.”

— Rebecca Welch, Head of People Operations at Faculty

Review rounds remain lightweight with continuous feedback

Real-time feedback, now flowing weekly, has replaced the need for manual peer feedback collection within a strict window of time and aims to reduce recency bias during evaluations. This shift will allow Faculty to keep formal review rounds short and focused, since performance insights will have been continuously captured throughout the year.

Personalized coaching tools for managers and employees

After the reviews, Taito provided personalized growth discussion agendas for individuals and team leads. Taito.ai generates dynamic 1:1 agendas and growth discussion prompts based on each employee’s feedback and goals. This supports more focused, individualized development conversations and ensures consistency across teams, while saving time with automation.

“The requirement to write feedback down in Taito has encouraged more thoughtful approaches, ensuring encouragement and specific examples are included. The summaries are genuinely useful, and serve as a more continuous experience of feedback than we had before.”

— Individual Contributor, Faculty

“The system is intuitive and easy to use and gives me the tools to support my team effectively. I now spend less time filling in forms and more time having meaningful conversations.”

— Manager, Faculty

Integrated with Faculty’s people tools

Taito.ai fits into Faculty’s broader HR and performance toolset, working alongside their HRIS and compensation platforms. It integrates with HiBob HRIS to sync employee and organizational data, replacing HiBob’s performance module with a more flexible system. At performance review time, all ratings and promotion outcomes from Taito.ai are exported to Pave, where they’re used to model compensation. This integration ensures Faculty’s performance and pay processes are tightly aligned, without adding manual overhead.

Key Results from the Rollout

• End-to-end process automation across 309 employees
• Time savings for managers, HR, and individual contributors
• More feedback: weekly volume increased to 185-300 points per week among 309 employees
• +50% increase in usage versus the pilot phase
• Insights for 1:1 meetings: 1:1s and reviews now powered by live data and insights

What’s Next

Faculty continues to deepen its use of Taito.ai by expanding automation across key talent milestones, starting with onboarding and probation.

• Taito.ai now guides probation reviews with timely Slack nudges, task lists, and built-in checkpoints to support both managers and new joiners.
• Feedback and aligned expectations are introduced early, making continuous development a natural part of the onboarding process.
• Co-developed with Faculty, this foundation positions Taito.ai as the go-to platform for performance, coaching, and development at every stage of the employee journey.