
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 consultation80+
Projects delivered
2021
Founded in Karachi
10+
Countries served
Benefits
Why teams choose this service
- 01
Tool-use against your real APIs, not a demo that only searches the web
- 02
Written policies for what the agent may spend, send, or change
- 03
Human approval on irreversible steps such as refunds or customer emails
- 04
Traces you can read when the agent takes a wrong turn
- 05
Sandbox runs on historical tickets before anything touches production data
- 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.
01
Workflow capture
Shadow the team and write the steps, exceptions, and systems they already use.
02
Tool inventory
Expose only the actions the agent needs, with tight schemas and auth.
03
Policy and memory
Define stop conditions, escalation, and what the agent is allowed to remember.
04
Sandbox
Replay past cases and score completion, safety, and time saved.
05
Limited production
Start on a queue or a team that can tolerate mistakes, with a human in the loop.
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.
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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.
