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Business Technology Services

Agent Development

Design and build autonomous AI agents for customer support, operations, sales, HR, research, and internal workflows.

Direct answer

AI agents are suitable when a workflow needs language understanding, tool use and bounded decisions across support, sales or operations. AIERAX designs agents around one job, clear permissions, logs and human handoff instead of treating them as autonomous replacements for teams.

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.

Business problems that normally lead here

  • Customer enquiries need first-pass qualification and routing.
  • Internal requests repeat but require context from company knowledge.
  • Teams need assistance drafting, summarizing or updating records.
  • Follow-up work crosses chat, CRM, calendar and email.

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.

Who this is suitable for

  • Workflows with repeatable intent and clear escalation rules.
  • Teams that can define what the agent is allowed to read, write and send.
  • Customer or internal processes where faster response creates value.

Who this is not suitable for

  • High-risk decisions that need human accountability at every step.
  • Processes with unclear ownership or no reliable source of truth.
  • Businesses expecting an agent to fix broken operations without workflow design.

How it works

  1. Define the agent role

    We identify the job the agent should perform, the tools it needs, and the decisions it is allowed to make.

  2. Connect knowledge and tools

    We connect the agent to documents, CRMs, ticketing systems, databases, calendars, email, chat, and workflow platforms.

  3. Build guardrails

    We define escalation rules, approval points, tone, permissions, safety boundaries, and logging requirements.

  4. Test and deploy

    We run the agent through realistic scenarios, tune behavior, and deploy it into the channels your team already uses.

Expected implementation stages

  1. Role definition

    Define the agent job, allowed tools, forbidden actions and handoff rules.

  2. Knowledge and tool access

    Connect approved documents, systems, CRM fields, calendars or message channels.

  3. Scenario testing

    Test expected, edge-case and failure conversations before launch.

  4. Monitored rollout

    Launch with logs, review points and human escalation paths.

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

Human approval and operational safeguards

  • Human approval can be required before external messages or sensitive updates.
  • Tool permissions limit what the agent can access and change.
  • Logs make actions auditable and easier to improve after launch.

Industries we serve with this

Related business problems

Missed follow-ups

AIERAX helps businesses improve lead capture, WhatsApp enquiry handling, CRM updates and customer follow-up with automation, integrations and practical AI.

Scattered information

AIERAX helps businesses centralize scattered information across spreadsheets, chat, email, cloud drives and individual employees.

Repetitive work

AIERAX helps growing businesses reduce repetitive manual work with process simplification, workflow automation, integrations, internal tools and AI where useful.

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.

Related services

Workflow Automation

Automate repetitive business processes by integrating AI with existing tools and systems.

Enterprise AI Integration

Integrate AI capabilities into existing applications, CRMs, ERPs, communication platforms, and business processes.

Infrastructure & Deployment

Deploy and manage AI solutions on cloud or on-premises environments, with secure, scalable infrastructure.

Want this for your business?

Let's talk about what this looks like for your specific situation. We respond within 24 hours.

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