AI Voice Intelligence
AI voice intelligence turns business conversations into structured information your team can review and act on. Innovista builds conversation analysis and follow-up workflows around your sales, support, and operational requirements.
What can a conversation workflow produce?
Call summaries, action items, topic tags, coaching signals, and draft CRM updates. The scope defines which outputs are reviewed by people and which can be written to connected systems. Recordings, transcripts, and summaries may need different retention and access policies.
Can it work during a call?
Live assistance is an option when the call platform, streaming access, latency requirements, and evaluation results support it. Post-call analysis is often a more practical first release. We assess the required experience before selecting the architecture.
How do we approach sensitive conversations?
Agree on recording permissions, data handling, access, retention, and vendor responsibilities before deployment. Regulated workflows require review by the client’s legal and compliance teams; a particular model or cloud setup alone does not establish compliance.
Should we use an existing platform or custom software?
Compare your current platform’s capabilities with the required integrations, analysis criteria, deployment model, and total operating cost. Custom delivery is useful for specific gaps, not an automatic replacement for every conversation intelligence platform.
How we measure progress
- Summary accuracy and reviewer corrections
- Time spent on call review and CRM follow-up
- Action completion, operating cost, and adoption
Common questions
Can we use our own quality criteria?
Yes. Evaluation criteria and review workflows can be designed around your team’s process and tested against representative calls.
Are savings guaranteed?
No. Establish a baseline and measure results against the agreed scope, including integration, model, and support costs.