Build Consistency into AI.
ChatIntel gives Product Managers the zero-code toolkit needed to control AI variability and drive business-critical quality.
Book a demoProblem
The era of deterministic software is over.
This shift breaks traditional quality assurance and creates a massive bottleneck where AI Product Managers are drowning in technical debt and siloed metrics, unable to connect agent performance to Customer Value and Business Viability.
Broken Feedback Loop
Quality can no longer be measured by simple technical metrics. The new feedback loop requires tight collaboration between Product Managers, Engineers, and Domain Experts—but no single platform supports this cross-functional workflow.
Uncatchable Errors
Evaluating subjective AI outputs is difficult, demanding Domain Experts to design and execute evaluations that catch subtle but catastrophic errors—a process that is currently manual, slow, and non-scalable.
Solution
Beyond vibe checks: ChatIntel is the zero-code AI Product Manager toolkit.
It empowers AI Product Managers to move from raw conversation data to strategic CX insights and prompt improvements 10x faster. We give PMs and Domain Experts full control over their product analysis without relying on technical teams.
Evaluate
Qualitative analysis of agent conversations
Collect specific examples of agent failures and have human experts review, label, and categorize failure modes (e.g., hallucinations, poor tone, incorrect routing). Generate crucial insights by linking raw output to business-critical error types.
- Human expert review and labeling of conversations
- Identify and categorize failure modes (hallucinations, tone, routing)
- Business-critical error type mapping
- Domain expert collaboration tools
Measure
Translate insights into quantitative metrics
Move beyond simple technical logs to validate failure categories against large datasets and create reliable, business-focused metrics (like ChatIntel's Hybrid CX Score) to track performance over time. Establish a measurable baseline for improvement.
- Convert qualitative insights to quantitative data
- Business-focused metrics (Hybrid CX Score)
- Validate failure categories at scale
- Establish measurable performance baselines
Improve
Optimize based on data-driven insights
Take action to optimize your agent using quantitative metrics and categorized failure modes. Strategically refine prompts, update models, or adjust pipeline architecture to directly eliminate identified failure modes and drive better customer experience.
- Strategic prompt refinement
- Model and pipeline optimization
- Target identified failure modes directly
- Drive measurable CX and business outcomes
Built for collaborative teams
ChatIntel brings together everyone who shapes your AI product—from strategy to implementation to quality assurance.
Product Managers
Define evaluation criteria, track customer satisfaction metrics, and make data-driven decisions about your AI product roadmap.
Engineers
Receive prompts optimization opportunities from domain experts and business oriented team members without losing technical control.
Domain Experts
Contribute your expertise by labeling conversations, defining quality standards, and validating AI responses without technical barriers.
Trusted by forward-thinking teams
Leading AI companies rely on ChatIntel to evaluate, optimize, and scale their AI products with confidence.
“ChatIntel transformed how we evaluate our AI agents. We went from spreedsheets to automated, comprehensive evaluations that give us confidence to ship faster.”
Seamlessly Connects with Your Existing Stack
Integrate effortlessly with the tools your team already uses
+ Custom API Connections — We support any platform your team needs