Conversation intelligence that turnscustomer calls into action.
Sphura analyzes recorded customer conversations after the call and turns them into structured intelligence — intent, summaries, objections, outcomes, agent mistakes, follow-up requirements, and recommended next actions.
What is conversation intelligence?
Conversation intelligence is the use of AI to analyze customer conversations and turn them into structured, actionable information. Instead of relying only on call duration, recordings, or manual notes, teams can understand customer intent, objections, outcomes, follow-up needs, agent mistakes, and next actions from each conversation.
Sphura applies this as post-call intelligence. It records the conversation while it happens, then analyzes the recording after the call ends — so managers understand what mattered without listening to every recording or reading a full transcript.
Call tracking vsconversation intelligence.
Call tracking
- Who called
- When the call happened
- Duration
- Recording
Conversation intelligence
- Why the customer called
- What they wanted
- Objections raised
- Outcome of the conversation
- What the agent missed
- Whether follow-up is required
- What should happen next
Call tracking tells you that the call happened. Sphura tells you what happened inside the call.
From a recorded call to arecommended next action.
- 1
Record
Capture the customer conversation.
- 2
Analyze
Process the recording after the call ends.
- 3
Structure
Extract structured intelligence.
- 4
Act
Surface the recommended next action.
See the full workflow on the How it works page.
Signals extracted fromevery customer call.
Customer Intent
Why the customer reached out
Important Points
What mattered in the conversation
Objections
Concerns that blocked a decision
Call Outcome
Where the conversation landed
Customer Questions
What still needs answering
Agent Mistakes
What was missed or mishandled
Follow-up Requirement
Whether the next step is due
Opportunity Signals
Buying intent and momentum
Recommended Next Action
What should happen next
Operational outcomes,not vanity metrics.
- Follow up faster
- Reduce missed opportunities
- Improve conversion discipline
- Give managers visibility across customer calls
- Identify agent mistakes and coaching opportunities
- Prioritize conversations that need attention
Agent mistake vs coaching opportunity: Sphura detects an Agent Mistake. A manager may use that as a Coaching Opportunity.
Built for teams that depend oncustomer conversations.
- Real Estate
- Automotive
- Insurance
- Education
- Financial Services
- B2B Sales
See how Sphura adapts to each on the Industries section.
Questions,answered.
- What is conversation intelligence?
- Conversation intelligence is the use of AI to analyze customer conversations and turn them into structured, actionable information — customer intent, objections, outcomes, follow-up needs, agent mistakes, and next actions — instead of relying only on call duration, recordings, or manual notes.
- How does AI analyze customer calls?
- The conversation is captured while it happens, then analyzed once the call ends. From the recording, AI extracts structured signals such as customer intent, important points, objections, the call outcome, customer questions, agent mistakes, follow-up requirements, opportunity signals, and a recommended next action.
- What is the difference between call tracking and conversation intelligence?
- Call tracking tells you that a call happened — who called, when, and for how long. Conversation intelligence tells you what happened inside the call — why the customer called, what they wanted, what was missed, and what should happen next.
- What insights can conversation intelligence extract?
- Customer intent, important points, objections, the call outcome, customer questions, agent mistakes, follow-up requirements, opportunity signals, and a recommended next action — all extracted from the recorded conversation.
- Does conversation intelligence work during the call or after the call?
- After the call. The conversation is captured while it happens, then analyzed once it ends — so intelligence is generated post-call, not as live AI assistance during the conversation.
Turn every customer conversationinto structured intelligence.
Capture every call, understand what happened, and act on the next best step.