Turn conversations into outcomes.
AI agents that handle customer requests and take action in your business systems.
Built for customer experience teams handling high volumes of enquiries and requests.
Your team is doing more than answering messages.
Resolving a customer request often means checking systems, updating records, and coordinating the next step.
Requires someone to check internal systems and take the necessary action.
Can result in an appointment, order or support request.
Someone may have to find a document, update a record or coordinate with another team.
May need a visitor qualified, a quote prepared or a lead handed to sales.
From request to resolution, step by step.
How Yashvis agents handle a customer service request, within the permissions you define.
AI agents for email, voice, WhatsApp, and web chat.
Channel-specific agents, connected to the CRM, ERP, help desk, and scheduling tools your team already uses.
Human control where it matters. Automation where it makes sense.
Human-in-the-loop AI automation: decide which actions run on their own, which need approval, and when a conversation goes to your team.
Routine tasks can run automatically.
Sensitive or high-impact actions can require approval.
Complex conversations can be transferred to your team.
Every important action can be logged for review.
Built around real customer needs.
Support customers throughout their journey—from product enquiries and bookings to onboarding, order updates, and issue resolution.
Configured for your business. Managed by Yashvis.
How implementation works: five stages from mapping your first workflow to running it in production.
Understand the workflow
We map the conversations, systems, rules, exceptions and actions currently handled by your team.
Connect the systems
We integrate the channels, APIs, databases, documents and business applications the workflow needs — with security, access control and data boundaries in place.
Build the agent
We configure the agent's knowledge, tools, reasoning and workflows — with guardrails, permissions and human approval points built in.
Test with real scenarios
Evals run against real conversations, edge cases and adversarial inputs, so accuracy, safety and guardrail behaviour are proven before deployment.
Deploy and improve
The agent runs inside the workflow with full observability — every conversation, tool call and escalation is traced, monitored and used to improve it over time.
Start with one channel, one workflow.
Start with one recurring customer request where your team spends the most time, on the channel your customers already use.
We will help you determine what can be automated, what should remain human-controlled and what a production deployment would require.