Overview / Description
Horizon is an AI organizational intelligence tool that interviews entire workforces at scale and surfaces operational bottlenecks for enterprise transformation teams. Where traditional employee surveys take months and deliver shallow data, Horizon deploys AI-driven voice conversations that talk to every person across an organization in days — the platform cites a case where Mercado Libre interviewed 1,300 employees in just four days. Each conversation adapts in real time, probing for root causes rather than accepting surface-level answers, and the system synthesizes responses into a prioritized map of quick wins and friction points.
Horizon targets chief transformation officers, operational excellence leaders, and strategy teams at large enterprises who need a current-state diagnostic before committing to a change program. The AI interviewer is designed to feel conversational — employees from Finance, IT, Operations, and Supply report that the interaction felt organic and that follow-up questions genuinely explored their pain points rather than following a rigid script.
The platform produces structured outputs: root-cause analysis, bottleneck identification, and prioritized action items segmented by department and role. Customers including Despegar, Sura, and dLocal cite gaining critical discovery time and clearer ROI prioritization compared to manual interview or survey programs.
For transformation and operations leaders searching for the best AI tool for organizational diagnostics, Horizon offers a deployment model that gets a company from kickoff to insight in five days — a timeline that traditional consulting or survey vendors cannot match. The tool is positioned squarely at enterprises rather than SMBs, with a "Get Started" flow that leads to a sales conversation rather than self-serve signup.
Used For
Horizon is used by enterprise transformation and operations teams to conduct AI-driven employee interviews at scale, map current-state operational bottlenecks, and identify the highest-priority process improvements — replacing slow manual discovery with a days-long diagnostic program.
Pricing
Pros & Cons
Pros
- Interviews hundreds or thousands of employees in days — Mercado Libre completed 1,300 interviews in 4 days
- AI interviewer adapts follow-up questions in real time to probe root causes rather than accepting surface answers
- Delivers prioritized quick-win recommendations segmented by department and role
- Trusted by large enterprises including Mercado Libre, Despegar, Sura, and dLocal
- Employees report high engagement scores and describe conversations as feeling like talking to a real person
Cons
- No self-serve signup — access requires contacting the sales team, adding friction for smaller teams evaluating the tool
- Pricing not published publicly, making budget assessment difficult without a sales call
- Limited public documentation on API access, data export formats, or integration with HRIS platforms
- Positioned for large enterprises; likely cost-prohibitive or over-engineered for SMBs and small teams
Questions & Answers
Alternatives
Qualtrics EmployeeXM, Culture Amp, Glint (LinkedIn), Workday Peakon, Leapsome