AI Services
AI Agent Development
Design and build autonomous AI agents for customer support, operations, sales, HR, research, and internal workflows.
The problem
Your team loses time to repeatable decisions and handoffs
Customer questions, lead qualification, research tasks, internal requests, and operational follow-ups often follow repeatable patterns. When humans handle every step manually, response times slow down and valuable team members spend their day on work an AI agent can assist or complete.
Task-focused agents that work inside your business
AIERAX builds AI agents that can understand goals, use tools, follow policies, retrieve business knowledge, trigger workflows, and hand off to humans when needed. Each agent is designed around a clear job, with guardrails and monitoring built in from the start.
How it works
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Define the agent role
We identify the job the agent should perform, the tools it needs, and the decisions it is allowed to make.
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Connect knowledge and tools
We connect the agent to documents, CRMs, ticketing systems, databases, calendars, email, chat, and workflow platforms.
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Build guardrails
We define escalation rules, approval points, tone, permissions, safety boundaries, and logging requirements.
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Test and deploy
We run the agent through realistic scenarios, tune behavior, and deploy it into the channels your team already uses.
A real example
A sales team needed faster lead follow-up across web forms and WhatsApp. We built an AI agent that qualifies prospects, answers common questions, schedules calls, updates the CRM, and alerts a human salesperson when a high-intent lead is ready.
Business outcome
- Faster response times across support, sales, and internal requests
- Reduced repetitive work for skilled teams
- Agents that use your real tools and company knowledge
- Human handoff for complex or sensitive cases
- Auditable logs, permissions, and performance tracking
Technologies
- OpenAI Assistants
- LangGraph
- CrewAI
- Vapi
- Twilio
- Slack
- WhatsApp Business
- HubSpot
- Zendesk
Common questions
What kinds of AI agents can you build?
We build agents for customer support, sales qualification, operations coordination, HR requests, research, reporting, and internal knowledge workflows.
Can agents take actions in our tools?
Yes. Agents can read and update approved systems such as CRMs, ticketing tools, calendars, spreadsheets, databases, and workflow platforms, with permissions and approval rules defined upfront.
How do you prevent an agent from doing the wrong thing?
We use role limits, tool permissions, approval checkpoints, fallback rules, test scenarios, and logging so the agent operates inside clear boundaries.
Want this for your business?
Let's talk about what this looks like for your specific situation. We respond within 24 hours.