We introduced WhatsApp and SMS-based invitations combined with automated, intelligent reminders to engage candidates directly through their preferred communication channels. This significantly increases candidate engagement and helps ensure no candidate drops out of the hiring funnel unnoticed.
Interview creation is now significantly more intuitive with drag-and-drop question ordering and a more flexible interview architecture behind the scenes.
We improved ATS synchronization reliability, expanded support for customer-generated questions, and enhanced overall integration stability.
New CSV exports, improved filtering, pagination fixes, and multiple dashboard UX improvements make data access and navigation smoother across the platform.
We introduced expanded fraud detection and interview integrity systems, including behavioral signal tracking and improved visibility into suspicious interview activity.
We’re building a new CV analysis system to help evaluate candidates beyond interviews alone.
Lizzy will be able to call candidates immediately the moment they apply and schedule or conduct the interview on the phone.
Especially for blue collar roles short WhatsApp interviews can be the best way to access some of the needed information for the application.
We’re continuing to expand SMS, WhatsApp, and voice capabilities to make candidate engagement more seamless and automated across channels.
A major focus remains on improving platform observability, fraud analysis flexibility, and internal infrastructure to support the next stage of scale.
lizzyAI achieved SOC 2 Type II certification, reinforcing our commitment to security, availability, and responsible data handling across the platform. This milestone gives enterprise hiring teams stronger assurance that lizzyAI’s systems, controls, and operational practices meet rigorous standards for protecting customer and candidate data.
We introduced deeper assessment capabilities, including Deep Assessment Mode and question-importance weighting, so hiring teams can evaluate candidates with more role-specific depth and clearer prioritization.
We strengthened platform governance and compliance readiness for the EU AI Act, including transparency, auditability, and responsible AI practices across candidate evaluation workflows.
We added a bias-free AI audit to strengthen transparency across candidate evaluation workflows. The update helps teams review AI assessment quality, support fairer hiring decisions, and keep responsible AI practices visible in the hiring process.

We introduced new fraud detection capabilities across audio and video interviews to help identify suspicious or manipulated behavior. Fraud signals are now visible directly within candidate scorecards, giving reviewers additional context and strengthening hiring integrity throughout the evaluation process.

We expanded language support at the job level, allowing companies to run interviews and candidate communications in multiple major languages while keeping a single hiring flow.

lizzyAI now integrates with several major Applicant Tracking Systems, making it easier to adopt lizzyAI within existing hiring workflows without changing your recruitment stack.

Scorecards now include enhanced visualizations that make interview results easier to understand at a glance, helping teams assess candidate performance more clearly and consistently.

You can now customize lizzyAI’s appearance to better match your company brand, creating a consistent and professional candidate experience across interviews.
We expanded platform language support to include Spanish (Mexico) and Spanish (Spain), improving accessibility for international customers.
New model released to help identify anomalous interview behavior and strengthen platform integrity.
Recruiters can upload a Job Description and lizzyAI automatically generates:
The scorecard now includes deeper evidence and explanation per question:
A consolidated view provides:
Recruiters can request or enable video recording during interviews.
Recordings are:
Used internally to strengthen lizzyAI's fraud detection model
Introduced richer insights for each interview question, enabling more accurate and contextual evaluations.
Introduced configurable voice, accent and avatar options.
New pre-interview preparation page to guide candidates before starting their session.
Automated reminders to reduce candidate no-shows.
New ATS integration for improved recruiting workflows.

Updated UI for clearer layout and improved candidate experience.

The system now generates tailored questions directly from the recruiter-provided job description.

Enhanced scoring methodology and structure for more consistent evaluations.
Added full platform support for German.
Released the new Recruiting Dashboard and Interview Room on an improved AWS infrastructure for greater scalability and stability.
lizzyAI maintains this public changelog to provide transparency on product updates.
Updates are published following internal change-management procedures aligned with SOC 2 requirements, including:
Change review and approval
Testing and validation
Controlled deployment
Customer-impact monitoring