Voiceagentsyoucantrustinproduction.
Deploy CallingScout with confidence. Define guardrails in plain language, protect customer data automatically, and monitor every call, with layered protection at every level.
Keep responses safe and on-brand
Define guardrails in plain language. Independent checks run in parallel to every response, adding no perceptible latency.
Custom Guardrails
Never mention competitors by name, make unauthorized price exceptions, or issue refunds without confirmed eligibility.
8 ActiveNever give medical advice, diagnoses, or treatment recommendations. Book appointments and escalate clinical questions only.
3 ActiveNever recommend specific investment products, provide tax guidance, or offer individualized financial planning advice.
4 ActiveTrusted by revenue teams at
Setupyourvoiceagentstobehavesafelyandpredictably.
Define well-scoped guardrails, evaluate behavior before launch, and stay reliable in real-world calls at scale.
Layered protection for every conversation
Guardrails keep agents focused in complex calls, block manipulation attempts, and evaluate every reply against your policies. If a boundary is hit, you can retry, escalate to a human, or end the call.
Guardrails
Focus
Manipulation
Content
Harassment, Profanity, and Politics and religion
Custom
Medical Advice Guardrail, Legal Advice Guardrail, Retail and Refund Guardrail
Validate before you deploy
Simulate real calls to test workflows, tool calls, and guardrails before going live. Define success criteria so you know your agent handles every scenario as intended.
Test status
Failed Test (1)
Passed Test (3)
Hi, I'm calling because I'd like some guidance on how my financing is possible.
Absolutely, I can help with that! At First Bank, we look at your financial goals, time horizon, and risk tolerance to recommend a mix of financing and investment products tailored to you.
Ensure safety and reliability at scale
Track live agent behavior, latency, cost, resolution, sentiment, through enterprise-grade analytics. Catch regressions the day they happen, not the day a customer complains.
Overview
Calls
77,258
Avg. duration
2:51
Total cost
33,402credits
Avg. cost per call
77,258credits
Solved user enquiry
88.2%
Product category
GainfullvisibilityandcontroloverhowyourAIoperates.
Understand how your voice agents perform, improve them with ongoing iteration, and rely on expert support to achieve measurable outcomes.
Audit historical interactions
Every conversation is logged and searchable. Teams can review transcripts, trace tool calls, and validate compliance without leaving the console.
Conversation history
- Ongoing
Nov 27, 2025, 1:11pm
Support Agent
- Success
Nov 27, 2025, 1:08pm
Sales Agent
- Failed
Nov 27, 2025, 1:04pm
Sales Agent
- Success
Nov 27, 2025, 12:49pm
Support Agent
Iterate and improve
When issues arise, update prompts, knowledge bases, or models, then re-run your eval set to confirm the fix before it ships to production.
Success Rate Drop
More customers are asking about SKU1ab32, but the agent is missing context.
Partner with our experts
A CallingScout launch engineer pairs with your team in Slack and sprint reviews. Same person from scoping through go-live.
- cs-deployed-eng
- team-design
- team-growth
- team-sales
- team-org
Brandon Dokidis
Hi, we'd like to setup a redirect the user to a different agent. Could you help us with…
CallingScout team
We should be able to do all the necessary debugging and we'll tackle it within the…
Buildsecure,compliantAIsystems.
Maintain full visibility into how your agents handle, process, and store information. Control how sensitive data is managed through regional data residency and Zero Retention Mode configurations.
- Meet compliance standards
- Maintain reliability
BuildsecurevoiceagentsatscalewithCallingScout.
Partner with CallingScout to build voice AI that stays predictable, safe, and ready for real-world scale.
Trust
Frequentlyaskedquestions.
Three layers. First, guardrails defined in plain language run as independent checks in parallel to every response, they block manipulation, off-topic drift, and policy violations without adding perceptible latency. Second, an eval harness runs the full guardrail set against new prompts, models, or knowledge updates before any change reaches production. Third, live agent behavior is monitored against the same metrics you ship on, so regressions surface in minutes rather than weeks.