Vera brings clarity to customer conversations
Intelligence That Brings Clarity to Every Customer Call
We analyze every customer call to deliver automated quality checks, match support SOPs and performance intelligence.
How Vera Fits Into Your Workflow
A simple way to review every conversation for quality and compliance — without changing how your team works.
Analyzing ongoing
call…
SOP Followed
Regulation Violations
Average Hold Time
Customer Sentiment
User Queries Resolved
Analyzing ongoing
call…
SOP Followed
Regulation Violations
Average Hold Time
Customer Sentiment
User Queries Resolved
Analyse
Smart Analyzing
Vera analyses conversations end-to-end, checking SOP adherence, risk, resolution quality, and customer sentiment.
Designed Around Your SOPs
We configure Vera around your SOPs, compliance requirements, and edge cases, so every evaluation matches real expectations.
- Customer Support Call SOP v2.3
- Agent must greet the customer andclearly state their name anddepartment within the first 10 secondsof the call.
- Agent must verify customer identitybefore discussing account-specificinformation.
- Agent must not promise refunds,reversals, or timelinesoutside documented policy.
- If the customer expresses frustration,confusion, or dissatisfaction morethan once, the agent mustacknowledge it explicitlybefore proceeding.
- Any payment, refund, or billing-relatedissue must be followed by a clearsummary of next steps beforeending the call.
- Mandatory disclosures must beread verbatim when discussing
- financial products, pricing,or eligibility.
- Agent must escalate the call if:
- The customer asksfor a supervisor
- Legal or regulatory languageis used
- The issue cannot be resolvedwithin defined scope
- Agent must confirm resolutionand ask if there is anything elsethey can help withbefore closing the call.
- Call notes must accuratelyreflect the outcome and anycommitments made.
- Customer Support Call SOP v2.3
- Agent must greet the customer andclearly state their name anddepartment within the first 10 secondsof the call.
- Agent must verify customer identitybefore discussing account-specificinformation.
- Agent must not promise refunds,reversals, or timelinesoutside documented policy.
- If the customer expresses frustration,confusion, or dissatisfaction morethan once, the agent mustacknowledge it explicitlybefore proceeding.
- Any payment, refund, or billing-relatedissue must be followed by a clearsummary of next steps beforeending the call.
- Mandatory disclosures must beread verbatim when discussing
- financial products, pricing,or eligibility.
- Agent must escalate the call if:
- The customer asksfor a supervisor
- Legal or regulatory languageis used
- The issue cannot be resolvedwithin defined scope
- Agent must confirm resolutionand ask if there is anything elsethey can help withbefore closing the call.
- Call notes must accuratelyreflect the outcome and anycommitments made.
- Customer Support Call SOP v2.3
- Agent must greet the customer andclearly state their name anddepartment within the first 10 secondsof the call.
- Agent must verify customer identitybefore discussing account-specificinformation.
- Agent must not promise refunds,reversals, or timelinesoutside documented policy.
- If the customer expresses frustration,confusion, or dissatisfaction morethan once, the agent mustacknowledge it explicitlybefore proceeding.
- Any payment, refund, or billing-relatedissue must be followed by a clearsummary of next steps beforeending the call.
- Mandatory disclosures must beread verbatim when discussing
- financial products, pricing,or eligibility.
- Agent must escalate the call if:
- The customer asksfor a supervisor
- Legal or regulatory languageis used
- The issue cannot be resolvedwithin defined scope
- Agent must confirm resolutionand ask if there is anything elsethey can help withbefore closing the call.
- Call notes must accuratelyreflect the outcome and anycommitments made.
- Customer Support Call SOP v2.3
- Agent must greet the customer andclearly state their name anddepartment within the first 10 secondsof the call.
- Agent must verify customer identitybefore discussing account-specificinformation.
- Agent must not promise refunds,reversals, or timelinesoutside documented policy.
- If the customer expresses frustration,confusion, or dissatisfaction morethan once, the agent mustacknowledge it explicitlybefore proceeding.
- Any payment, refund, or billing-relatedissue must be followed by a clearsummary of next steps beforeending the call.
- Mandatory disclosures must beread verbatim when discussing
- financial products, pricing,or eligibility.
- Agent must escalate the call if:
- The customer asksfor a supervisor
- Legal or regulatory languageis used
- The issue cannot be resolvedwithin defined scope
- Agent must confirm resolutionand ask if there is anything elsethey can help withbefore closing the call.
- Call notes must accuratelyreflect the outcome and anycommitments made.
Seamless Integration
Vera plugs into your current call stack and starts analyzing conversations without changing how agents work.
Vera
Your stack
Vera
Your stack
Turning QA Into Action
Vera surfaces QA findings in one place so teams can review issues, make decisions, and take action with clarity.
Calls Flagged
27 Pending Review
SOP Gaps
27 Questions requiring updates
Regulatory & Policy Checks
All reviewed!
Calls Flagged
27 Pending Review
SOP Gaps
27 Questions requiring updates
Regulatory & Policy Checks
All reviewed!
Benefits
Benefits
Why Teams Use Vera for Intelligence
See how Vera improves quality, compliance, and visibility across every customer conversation.
Full QA Coverage
Review 100% of calls instead of spot-checking 5–10%. Vera analyzes every conversation so nothing slips through.
Full QA Coverage
Review 100% of calls instead of spot-checking 5–10%. Vera analyzes every conversation so nothing slips through.
Full QA Coverage
Review 100% of calls instead of spot-checking 5–10%. Vera analyzes every conversation so nothing slips through.
Fewer Compliance Risks
Automatically detect missed disclosures, risky statements, and policy violations before they turn into escalations or fines.
Fewer Compliance Risks
Automatically detect missed disclosures, risky statements, and policy violations before they turn into escalations or fines.
Fewer Compliance Risks
Automatically detect missed disclosures, risky statements, and policy violations before they turn into escalations or fines.
Better Agent Performance
Spot where agents struggle, go off-script, or lose control of the conversation — and coach with real examples, not guesses.
Better Agent Performance
Spot where agents struggle, go off-script, or lose control of the conversation — and coach with real examples, not guesses.
Better Agent Performance
Spot where agents struggle, go off-script, or lose control of the conversation — and coach with real examples, not guesses.
Lower QA Costs
Cut manual review time and cost without cutting quality. Vera replaces hours of listening and reading with instant analysis.
Lower QA Costs
Cut manual review time and cost without cutting quality. Vera replaces hours of listening and reading with instant analysis.
Lower QA Costs
Cut manual review time and cost without cutting quality. Vera replaces hours of listening and reading with instant analysis.
Clearer Insights, Not Metrics
Go beyond dashboards. Understand why calls fail, where friction happens, and what actually improves outcomes.
Clearer Insights, Not Metrics
Go beyond dashboards. Understand why calls fail, where friction happens, and what actually improves outcomes.
Clearer Insights, Not Metrics
Go beyond dashboards. Understand why calls fail, where friction happens, and what actually improves outcomes.
Scales With Your Team
As call volume grows, QA stays consistent. Vera scales automatically without hiring more QA.
Scales With Your Team
As call volume grows, QA stays consistent. Vera scales automatically without hiring more QA.
Scales With Your Team
As call volume grows, QA stays consistent. Vera scales automatically without hiring more QA.
FAQs
FAQs
FAQs
We’ve Got the Answers You’re Looking For
Quick answers to your AI automation questions.
What does Vera AI actually do?
Does Vera replace customer support agents?
How is this different from chatbots or voice AI agents?
Is Vera safe for regulated or high-risk environments?
How does Vera integrate with our existing setup?
What does Vera AI actually do?
Does Vera replace customer support agents?
How is this different from chatbots or voice AI agents?
Is Vera safe for regulated or high-risk environments?
How does Vera integrate with our existing setup?
What does Vera AI actually do?
Does Vera replace customer support agents?
How is this different from chatbots or voice AI agents?
Is Vera safe for regulated or high-risk environments?
How does Vera integrate with our existing setup?

