01
Discover
We map the workflow the agent will own, the tools it needs, and the boundaries it must respect.
AI Agents
AI agents that take action — not just answer questions.
Autonomous agents that use your tools, call your APIs, and run multi-step work inside guardrails. Workflow automation and task agents engineered for real operations.
Overview
What is AI agent development?
An AI agent is a system that doesn't just answer — it acts. Given a goal, it can plan steps, call tools and APIs, read and write data, and work through a multi-step task with a language model doing the reasoning. AI agent development is the engineering of these systems so they're useful and safe: capable enough to do real work, constrained enough that you can trust them with it.
We build custom AI agents for workflow automation and task execution: agents that triage and route, gather information across systems, draft and take actions, and escalate to a human when they should. The craft is in the guardrails — tool permissions, validation, retries, observability, and human-in-the-loop checkpoints — so an autonomous agent is an asset, not a liability.
Because we engineer agents on the same production patterns as our shipped LLM work, they're built to run in your real operations, not a sandbox. You get an agent wired into your tools and APIs, with the controls and visibility to deploy it confidently.
How we work
Our ai agents process
02
Design
Agent architecture — reasoning, tools, memory, and the human-in-the-loop checkpoints.
03
Build
Tool and API integration, prompt and reasoning logic, validation, retries, and guardrails.
04
Deploy
Ship into your operations with observability, permissions, and audit logging on every action.
05
Optimise
Tune reasoning and tools from real runs, widening autonomy as the agent earns trust.
Benefits
Why build AI agents
Automate real work
Hand off multi-step tasks — triage, research, data entry, follow-ups — to an agent that does them.
Free your team
Take repetitive, multi-system busywork off people so they focus on judgement calls.
Guardrailed by design
Tool permissions, validation, and human checkpoints keep autonomy safe and auditable.
Works across your tools
Agents call your APIs and SaaS so action happens in the systems you already use.
Scales with demand
An agent handles ten or ten thousand tasks without proportional headcount.
Observable and accountable
Every step and action is logged, so you can see exactly what the agent did and why.
Use cases
Agents we build
Support & triage agents
Classify, route, gather context, and resolve or escalate incoming requests.
Research & enrichment agents
Gather and synthesise information across sources and systems on demand.
Workflow automation agents
Run multi-step back-office processes that span several tools and APIs.
Document processing agents
Read documents, extract and validate data, and take the next action automatically.
Sales & ops agents
Qualify, enrich, follow up, and update your CRM without manual data shuffling.
Internal tooling agents
Agents that operate your internal systems through natural-language instructions.
Tech stack
Tools and platforms we ship with
The right tool for the job, chosen on fit and reliability — not on what we're married to.
OpenAI
Function calling
Anthropic
Tool use
LangChain
Agents
LangGraph
Orchestration
Python
Core
Pinecone
Memory
pgvector
Memory
Temporal
Durable runs
Why Tackxel
AI that ships, from a team that ships AI
Agents fail in production for boring reasons — no guardrails, no observability, no validation. We build them the way we build everything: with the unglamorous engineering that makes autonomy safe and accountable. The result is an agent you can actually deploy, not a demo you have to babysit.
It's the same guardrailed, tool-using discipline behind our shipped LLM products — Lexa and My Friend among 11+ delivered — applied to systems that take real actions in your operations.
11+
Products shipped
7+
Years founder experience
1st
AI legal chatbot in Pakistan
FAQ
AI Agents questions, answered
A chatbot answers; an agent acts. An agent can plan steps, call tools and APIs, and complete a multi-step task — not just respond in conversation. Many products use both together.
Related services
Explore what pairs with ai agents
Built to ship
Ready to build with ai agents?
Tell us what you're trying to build. We'll handle the rest.