Whether in-house or outsourced, a contact center operates under constant pressure: service levels to meet, agent turnover, unexpected spikes and cost per call to control. Contact center automation — front-line voicebots, dynamic IVR, automated callbacks, conversation analytics — lets you resolve simple requests without an agent and gives agents better tools for everything else.
Voxivra designs these building blocks to measure and integrates them with your existing environment. With more than 20 years of telephony and VoIP engineering and deep Asterisk expertise (AGI, ARI), we know how to make new technology work alongside the infrastructure you already have.
Contact center challenges
- Hold times and abandoned calls during peaks, with a direct hit on satisfaction.
- Rigid multi-level IVR menus that misroute and annoy callers.
- Repetitive requests that tie up skilled agents.
- Agent turnover and high training costs.
- Lost context on transfers: customers repeat their issue.
- Limited visibility: quality monitoring covers only a small sample of calls.
- A patchwork tech stack: PBX, ACD, CRM and reporting tools that don’t talk to each other.
High-value use cases
Front-line voicebot
An AI voicebot greets callers in natural language, identifies their intent, resolves simple requests through self-service and transfers the rest to the right queue with context.
Dynamic IVR and smart routing
Replace “press 1, press 2” trees with an IVR that recognizes the caller, looks up their data and routes based on profile, history or an open order. DTMF and speech recognition are combined as needed.
Automated callbacks and queue management
Offer a callback instead of hold time while keeping the caller’s place in line, and run automated outbound campaigns for confirmations and follow-ups.
AI call analytics
Transcription, intent detection, sentiment analysis and pain-point detection across every call. Our AI call analytics service feeds your dashboards and quality program.
Agent assist
Customer record displayed on pickup, automatic CRM logging and an AI-generated call summary afterward: less after-call work, more time for the customer.
| Building block | Expected effect |
|---|---|
| Front-line voicebot | Fewer simple calls handled by agents |
| Data-driven IVR | Better routing, fewer transfers |
| Automated callback | Fewer abandoned calls during peaks |
| Call analytics | Visibility into 100% of conversations |
| CRM integration | Less data entry, context preserved |
Compliance and data
Contact centers process large volumes of personal information, and call recordings are personal data in their own right. Depending on your situation, Québec’s Law 25, PIPEDA, U.S. federal and state rules, the GDPR in Europe and industry rules such as PCI-DSS for payments may apply. Outbound calling must follow telemarketing and robocall rules, such as CRTC rules in Canada and the TCPA in the U.S. Your exact obligations depend on your context, so legal advice is recommended.
Common technical measures:
- Caller notice about recording and the use of AI.
- Redaction of sensitive data in transcripts and recording pause during payments.
- Defined retention periods and automatic purging.
- TLS/SRTP encryption and access control on recordings.
- Speech engine hosting chosen to match your data residency requirements.
Integration points
- Telephony platform and ACD: Asterisk, FreePBX, traditional PBXs or cloud platforms, over SIP.
- CRM (Salesforce, Dynamics, HubSpot or in-house): screen pop, call logging, ticket creation.
- Workforce management and reporting tools: volume and performance data.
- Knowledge bases the voicebot draws on to answer.
- Client business systems for outsourced centers, through APIs.
These connections rely on a telephony orchestration layer that exposes APIs and webhooks to control calls.
Modernize without ripping and replacing
Most contact centers have neither the need nor the appetite to switch platforms overnight. Our approach is to add the highest-value building blocks around what you already run, measure, then expand. When migrating an aging PBX or IVR becomes necessary, we plan it to avoid service interruptions.
Our case studies in financial services, healthcare and logistics show what this approach delivers in practice.
Choosing what to automate first
The right starting point usually sits where three things overlap: high call volume, a predictable conversation and data the system can reach. Password resets, order or account status, appointment changes and payment reminders are common candidates. Calls driven by emotion, negotiation or judgment — complaints, retention offers, complex troubleshooting — should stay with agents, ideally with better context and tools. Analyzing a representative sample of transcribed calls is the fastest way to rank call reasons by automation potential.
How we work
- Audit of call flows, call reasons and current metrics.
- Selection of priority use cases based on volume and automation potential.
- Design and integration with your platform and CRM.
- Pilot on one queue or call reason, with measured results.
- Rollout and continuous improvement.