Return to the conversation
Review transcripts, recordings and automatic summaries to understand what the customer asked and how the agent responded.
Bring conversation records, summaries and AI assessments into one review process so your team can refine the service experience with context.
Your voice. Your knowledge. Your way of working.
Eligibility and refund approval stay with your team.
Review the conversation. Refine the knowledge. Improve the next experience.
Illustrative product experience · example data · no live actions
Review transcripts, recordings and automatic summaries to understand what the customer asked and how the agent responded.
Inspect quality, resolution and sentiment assessments alongside the underlying session. Use them as review signals, with human judgement.
Review duration, credits and estimated costs with session outcomes to help plan the next stage of your deployment.
Explore the configuration and decisions behind a useful conversation. Each step shows what you control and how it helps your customer.
Use conversation history, transcripts and summaries to inspect the experience. See recurring questions and refine the agent’s knowledge, instructions and connected workflows.
Guest: Could I check out at 2pm?
Echo: I can prepare the request for reception to check availability.
Policy explained. Request prepared. Reception approval is still required.
Use history and available filters to find the agent, status or date you want to review. Conversation duration and cost context help you understand usage.
This sample uses invented conversation content, not a customer’s session.
Workflow ideas to configure around the knowledge and systems you use.
Review repeated questions that the agent could not answer clearly, then improve the approved knowledge it uses.
Explore it with AICheck whether conversations capture the details your sales team needs, and refine the questions where context is missing.
Explore it with AISee completed, failed and pending campaign calls and open the relevant sessions to understand the follow-up needed.
Explore it with AIFrom voice and knowledge to integrations and launch. These are the details that help you choose a useful next step.
Talk through your idea with the Echo guideEcho provides conversation history with transcripts, voice recordings, summaries and session information. Post-conversation analysis can add quality, resolution and sentiment assessments for your team to inspect.
No. Assessments help direct attention and support review. Check the conversation and, where relevant, the business-system outcome before treating a request as resolved.
Yes. Enablement work can include reviewing conversation patterns, tuning instructions, updating knowledge and refining configured workflows. We agree the work within your available or additional enablement hours.
Conversation history gives your team access to transcripts, available recordings, summaries and session context. AI-generated assessments help identify conversations to inspect. Use the underlying conversation and your team’s judgment to decide what to improve.
You do not need to prepare everything alone. Use this checklist to see what you already have and where our setup team can help.
items you marked ready
A local planning checklist; nothing is submitted.Five questions customers really ask, the audience and the outcome you want.
We define the agent’s role, the first workflow and how to judge whether it works.
Example: explain returns and prepare a service request.
Product descriptions, policies, service instructions and a person who owns each source.
We organise the agent’s knowledge, clarify boundaries and test missing information.
Example: current policy, exclusions and who approves exceptions.
Your first channel, the languages customers use and the tone you want them to hear.
We configure the entry point, greeting and available voice or messaging settings.
Example: Arabic and English website chat, then a phone workflow.
The tools involved, a system owner and the specific information or action needed.
We scope permissions, identity checks and the connection or engineering required.
Example: read an allowed order status; prepare a request for review.
Who owns enquiries, who replies to exceptions and what a person must approve.
We map the messaging takeover, team responsibilities and follow-up process.
Example: AI explains policy; the service team approves the refund.
Typical enquiries, difficult cases, product names and examples in your launch languages.
We test the whole journey, review responses together and agree the first release.
Example: a normal request, missing knowledge and a rejected system action.
Setup teams are available 24/7. Engineering work and enablement hours are scoped to your plan and workflow.
Explore the platform yourself, or work with our team on your first workflow. You don’t need to have every answer before you start.
Get to know agent configuration, knowledge and channels. Choose a focused use case and begin shaping your agent.
Our 24/7 setup teams help with knowledge, languages, channels and the integrations your workflow needs.
Less time repeating the basics. More attention for the conversations that need your people.
02A better starting point for sales: what the customer needs, why it matters and where to take the conversation.
03Less re-explaining and re-entering. More context for the team responsible for getting the job done.
04A useful conversation from the first hello, shaped around the customer’s question and your business process.
05A consistent service voice across configured channels, with people ready to take over when the message needs them.
06From a customer question to the right information, a prepared request or a permitted action in your systems.
07Move from guessing what happened to reviewing the conversation and deciding what to change next.
08A platform you can use, with people to help you turn an idea into a working customer experience.
09Your information becomes part of the conversation, with a clear approach when an answer needs more context.
10A customer conversation stays visible as it moves between an AI reply and a person’s decision.
11From a contact list to conversations with a purpose and follow-up your team can understand.
12A clear customer experience starts with the right language, the right information and a thoughtful conversation.