xAIa
AI employees for every department
The Challenge
Businesses wanted AI handling customer calls, lead qualification, follow-ups and appointment scheduling. But connecting a language model to a chat window produces something that answers questions, not something that books the appointment, updates the record and knows when to fetch a human. xAIa needed AI employees that could work across multiple channels and act inside the systems a business already runs.
The Engineering Strategy
HashOne Global built the xAIa platform end to end: application, backend, AI orchestration, integrations and infrastructure. Vapi carries real-time voice, the WhatsApp Business API carries messaging, and the orchestration layer we built sits between them and the client's calendars, CRMs and APIs.
That layer is the engineering. An agent receives a conversation, reads intent, applies business rules, accesses what it needs, executes the action, and escalates to a human where judgement is required. It is the difference between an AI that responds and one that operates.
The Result
- 1M+ calls handled in production
- 63 AI agents live across 90+ languages
- 350,000+ conversations every month
Now running across multiple industries, which is the harder test: the architecture holds up against workflows it was not specifically designed around.
Technology
- Vapi
- WhatsApp Business API
- LLM orchestration
- Custom backend and APIs
- Workflow engine
- Cloud infrastructure, databases and monitoring
Thinking about AI employees for your business?
We build the layer between the model and your business, the part that makes an AI agent useful rather than impressive. Tell us which workflow is eating your team's time and we will come back with an architecture proposal and a timeline within one business day.
100% IP and source code ownership · NDA before the first call · 24-hour response
