Executive Health Score
The executive health score for enterprise AI agents
Your company is using AI. But is it accurate, secure, compliant, and cost-efficient?
Measure
Score every AI agent and AI user on accuracy, cost, security, and compliance.
Govern
Catch risky agent actions, data leaks, and policy violations before they spread.
Optimize
Cut token waste and weak output with concrete, model-level recommendations.
One score, every risk
The Executive Health Score
Evaloha helps enterprises measure, govern, and optimize how humans and AI agents work together — across skill, cost, security, compliance, and output quality — in one board-ready score.
73/100
Overall health82/100
74/100
68/100
71/100
59/100
77/100
80/100
Built for the C-suite
One dashboard, every executive
The same health score answers a different question for each leader — so security, cost, compliance, and operational risk finally live in one place.
CTO
Security
Which agents leak data, run risky tools, or ship insecure AI-generated code.
CFO
Cost
Where tokens are wasted and how much a cheaper model or prompt would save.
CISO
Compliance
GDPR and KVKK exposure, PII access, and policy violations across every agent.
CEO
Operational risk
Whether AI is producing accurate, accountable outcomes the business can trust.
The NeoBank scenario
Three agents, three kinds of risk
A single bank runs a support agent, a coding assistant, and a RAG analyst — each with very different ways to fail. Evaloha scores all three on the same axes.
Customer support agent
Wrong answers aren't just quality — they're trust, regulation, and reputation.
- Hallucinated balances or account status
- Policy-violating or off-script answers
- Unnecessary escalations to human agents
- Wrong access to customer records
- Inconsistent answers to the same question
Developer AI
Copilot, Cursor and Claude Code ship fast — but can leave security debt behind.
- AI-assisted PR risk score
- Security flaws in AI-generated code
- Prompt-to-code trace for every change
- Rework and bug-rate mapping
- Speed gains vs. added review load
RAG / internal data agent
Answering over customer data is the most sensitive surface of all.
- Unauthorized data access and PII exposure
- GDPR / KVKK compliance gaps
- Missing or wrong source citations
- Prompt injection and RBAC holes
- Hallucinated analytics on stale data
This agent tried to reach an unauthorized customer segment 3 times, gave 2 answers without a source, and could have resolved the same question 38% cheaper with a smaller model.
The platform
Five modules, one control plane
Score, test, optimize, and act — every module feeds the same executive health score, so insight always comes with a next step.
Executive Health Score
One board-ready score across accuracy, safety, security, compliance, cost, skill, and impact.
7 dimensions · CEO / CTO / CISO / CFO views
Agent Evaluation Lab
Scenario-based tests for support, sales, RAG, finance, HR, and coding agents — before and after they ship.
“Does it leak customer data under prompt injection?”
AI Cost Optimizer
Find token waste and model overspend, then route to the cheapest model that still passes your evals.
12.4M tokens · 41% over-long · ~28–35% reducible
Developer AI Usage Score
See AI-assisted PR risk, rework, and one-shot success — at the team level, without surveilling individuals.
We help teams use AI safely — we don't monitor developers.
Recommendation Engine
Every score comes with a concrete fix: change the prompt, swap the model, require sources, revoke PII access, add a human fallback.
Not just a number — the next action
FAQ
Questions executives ask
How do you know if our AI agents are actually accurate?
AgentHealth scores answers against expected outcomes, not just logs — measuring correct-answer rate, hallucination rate, and consistency on repeated questions, per agent and per scenario.
Can you detect when an agent leaks sensitive or unauthorized data?
Yes. We flag unauthorized data access, PII exposure, and prompt-injection attempts, and check whether each agent stays inside its role-based access limits.
Does AgentHealth help with GDPR and KVKK compliance?
It scores every agent on policy and regulatory adherence — missing source citations, out-of-policy answers, and access to data the agent shouldn't see — so compliance gaps surface before regulators or customers find them.
How does it reduce our AI and token costs?
The AI Cost Optimizer finds over-long responses and model overspend, then recommends prompt changes and cheaper model routing that still pass your evals — typically surfacing 28–35% in reducible spend.
Does AI-generated code from Copilot or Cursor create security risk?
We score AI-assisted pull requests for security issues, map rework and bug rates back to AI usage, and trace prompt-to-code — so engineering and security see risk without slowing developers down.
Do you monitor individual developers?
No. We help engineering teams use AI safely and efficiently at the team level. The Developer AI Usage Score is about workflow quality and risk, not individual surveillance.
Which agents and tools can you evaluate?
Customer support, sales, RAG assistants, finance and HR agents, internal chatbots, and coding agents — across providers — all scored on the same accuracy, security, compliance, and cost axes.
Get started
Your company is using AI. Is it accurate, secure, compliant, and cost-efficient?
Get one executive health score for every AI agent and AI user — and the recommendations to improve it.
Early access · no credit card required