Custom-trained on your content
Answer recurring questions using your approved content so visitors receive consistent starting information.
Products
Hewar AI
Make the conversation useful, including the handover.
Hewar AI connects routine questions with the information your team has approved. A good conversation also handles missing context and a question the assistant cannot answer. Plan clarification, source ownership and a route to the right person so the user understands how to get help.
A chatbot workspace should make routine questions easier to answer while giving customers a straightforward route to staff.
Inside the workspace
Hewar AI: a closer look
Explore how the product could bring its tools and working records into one view. Review the workflow design during your product walkthrough.
Features & client solutions
What this helps your team solve
Connect each capability to a day-to-day task and a practical result your team can evaluate.
Web, WhatsApp & app deployment
Offer the same support entry point across agreed web, messaging and app channels.
CRM & helpdesk integration
Pass customer context into the CRM or helpdesk so follow-up does not start from zero.
Bring one example from your daily work. We can review the records involved, who owns each step and which integrations are needed before defining the implementation scope.
Discuss your workflowProduct fit
Hewar AI for the way your team works
Approved content, conversation context and unanswered requests need to stay manageable, so the team can improve the experience after launch.
Areas to assess in a walkthrough
- Custom-trained on your content
- Web, WhatsApp & app deployment
- CRM & helpdesk integration
- Human handoff configuration
- Conversation analytics
In practice
Hewar AI: a practical example
Ask the assistant a routine question, a question missing context and one outside its approved knowledge. Inspect when it asks for clarification or hands over to a person. The conversation should make its limits clear instead of inventing a confident answer.
An illustrative scenario to discuss when planning your project.From records to decisions
How your team works with Hewar AI
The people involved include customer service teams, content owners and channel administrators. Begin with a small, representative set of approved answers, support intents, handoff rules and customer fields, then identify the decision or action each role needs to complete. This helps shape a useful first release and avoids collecting information that nobody uses.
Make review part of the workflow.
Start with a narrow task and representative examples, including difficult cases. Define what the system may do, when a person must review its output and how corrections are recorded. Measure usefulness against the task itself, rather than treating a confident-looking response as proof that it is correct.
Implementation approach01 02 03 04
From agreed scope to everyday use
Review the starting point
Identify the current sources of approved answers, support intents, handoff rules and customer fields. Check data quality, shared references and required fields before agreeing what will be migrated, connected or recreated.
Define roles and connections
Review the needs of customer service teams, content owners and channel administrators. Document permissions, required integrations, the authoritative system for each record and what happens when information cannot be exchanged.
Test an end-to-end case
Use safe sample data to answer a common enquiry and pass an unresolved conversation to support with its context. Agree expected results, review exceptions and record acceptance decisions before widening access.
Prepare the operational handover
Name the configuration owner, change decision-maker and support contact. Plan training and documentation around ordinary tasks, then review early use under the agreed support arrangement.
Practical details
Questions before getting started
What should we bring to the first walkthrough?
Prepare examples of approved answers, support intents, handoff rules and customer fields, with confidential details removed. Explain the step that takes the most effort or causes confusion, and identify who needs to review the result.
How do we decide whether it fits our work?
We define a scenario that lets your team answer a common enquiry and pass an unresolved conversation to support with its context. Compare the result with the current process and document requirements and gaps before approving the implementation scope.
Can it connect to our existing systems?
The required systems and data sources are reviewed first. The integration plan covers access, field mapping, transfer timing and responsibility for errors. The proposal identifies included connections and any custom work needed.
How are pricing and support agreed?
The proposal considers features, users or workload, the operating environment, integrations and migration. Training, operational ownership and the support arrangement are agreed alongside the implementation scope.