Skip to content
AI & Automation

AI Agents

Agents that call your tools, follow a written policy, and complete multi-step work with a human checkpoint when needed.

AI & Automation

What we deliver

An agent at XiteHub is a worker with tools, not a chat window with a personality. We map the steps a person takes today, expose those steps as functions (CRM updates, ticket replies, lookups), then constrain what the agent may do. Multi-agent setups are used only when one worker cannot hold the whole job. Every production agent has logs, a kill switch, and a path for a human to take over.

Fixed-price projects, dedicated teams, or an ongoing retainer, scoped around outcomes rather than billable hours.

Book a consultation

80+

Projects delivered

2021

Founded in Karachi

10+

Countries served

Benefits

Why teams choose this service

  1. 01

    Tool-use against your real APIs, not a demo that only searches the web

  2. 02

    Written policies for what the agent may spend, send, or change

  3. 03

    Human approval on irreversible steps such as refunds or customer emails

  4. 04

    Traces you can read when the agent takes a wrong turn

  5. 05

    Sandbox runs on historical tickets before anything touches production data

  6. 06

    A single agent first; extra agents only when the workflow actually forks

Process

How we deliver

A disciplined path from first workshop to production support. Senior engineers stay on the work after launch.

  1. 01

    Workflow capture

    Shadow the team and write the steps, exceptions, and systems they already use.

  2. 02

    Tool inventory

    Expose only the actions the agent needs, with tight schemas and auth.

  3. 03

    Policy and memory

    Define stop conditions, escalation, and what the agent is allowed to remember.

  4. 04

    Sandbox

    Replay past cases and score completion, safety, and time saved.

  5. 05

    Limited production

    Start on a queue or a team that can tolerate mistakes, with a human in the loop.

  6. 06

    Scale and audit

    Widen traffic only after traces show a stable success rate.

Stack

Technologies we ship with

  • Python
  • TypeScript
  • LangGraph
  • LangChain
  • OpenAI
  • Anthropic
  • FastAPI
  • Redis
  • PostgreSQL
  • n8n

FAQ

Questions, answered

Typical timelines, engagement models, and how we work with your team on AI Agents.

A chatbot answers. An agent acts: it calls tools, updates records, and moves a workflow forward. If you only need answers from a knowledge base, we will recommend a chatbot or RAG instead.

Ready to Start Your AI Agents Project?

Book a free consultation with our solutions architects. We'll map requirements and share a clear roadmap within 48 hours.