Custom AI Agent Development
AI agents that read requests, call your APIs and finish tasks end to end, with human approval where it matters.
AI Automation
AI Automation & AI Agent Development Services
Custom AI agents, chatbots and automated workflows that connect to your CRM, WhatsApp, email and internal data to take repetitive work off your team.
70%Avg. manual effort saved
8wkAvg. integration timeline
10+LLM models supported
24/7AI agents on duty
Overview
AI agents that do real work for your team
We are an AI agent development company that helps businesses move from AI experiments to systems that run every day. We build custom AI agents that read emails, documents and tickets and then act in your existing tools, AI chatbots for your website and WhatsApp, and internal knowledge assistants that answer from your own files.
Our approach starts with the workflow, not the model. We find the tasks that take up the most hours, build a working AI agent prototype in two to three weeks using GPT, Claude or Gemini, and connect it to your CRM, ERP and databases through APIs and the Model Context Protocol (MCP). For bigger jobs we design multi-agent systems and agentic workflows with LangGraph or CrewAI, where specialised agents handle research, triage and reporting together.
Every AI automation we ship is measurable. We log what each agent does, track cost and response time per task, test answer quality on every release and keep a human approval step for sensitive actions. You can see exactly how many hours the automation saves each month.
What We Build
AI Agent Development & Automation Services
We build AI agents, chatbots and automated workflows that plug into the tools your team already uses.
Multi-Agent Systems
Teams of specialised agents for research, triage and reporting, coordinated with LangGraph or CrewAI.
AI Chatbots & WhatsApp Agents
Support and sales assistants for your website and WhatsApp Business, trained on your own content.
RAG & Knowledge Assistants
Search and answer across your documents, wikis and databases, with a source link for every answer.
AI Workflow Automation
Agentic workflows for invoices, emails, lead scoring and data entry using n8n, Zapier or custom code.
Voice AI Agents
Voice agents that answer calls, book appointments and qualify leads around the clock.
Need something custom?Let's talk
How We Work
How We Build AI Agents and Automations
A practical AI development process that starts with your workflow and ends with measurable time saved.
01
Workflow Audit
We find the repetitive tasks costing your team the most hours and pick the best one to automate first.
02
Data & Tool Mapping
We connect the documents, databases, CRMs and apps your AI agent needs to read from and act on.
03
AI Agent Prototype
A working agent or RAG chatbot in two to three weeks, tested on your real data.
04
Guardrails & Evaluation
Accuracy tests, safety checks and human approval steps for high-risk actions.
05
Production Rollout
Deployment inside your cloud, with logging, cost tracking and access controls.
06
Monitor & Improve
We review answer quality and agent decisions every week and keep tuning prompts and tools.
Technology Stack
AI Automation Tech Stack
We pick the technology that suits your project, not whatever is trending this month.
LLMs
OpenAI GPTAnthropic ClaudeGoogle GeminiLlamaMistral
Agent Frameworks
LangGraphLangChainCrewAIOpenAI Agents SDKModel Context Protocol (MCP)
RAG & Vector DB
LlamaIndexPineconeWeaviatepgvectorElasticsearch
Automation & Ops
n8nZapierPython / FastAPICeleryLangSmithAWS Bedrock
Why Techizons
What Sets Us Apart
We work like a long-term technology partner, not a vendor that disappears after launch.
Security-First Development
OWASP practices, GDPR-ready data handling and regular security reviews are part of every project, not an add-on.
Fast by Default
We tune for Core Web Vitals from the first sprint and aim for a 90+ Lighthouse score on every build.
Dedicated Project Manager
One point of contact who knows your business, runs the sprints and keeps delivery on schedule.
Transparent Reporting
Weekly updates, sprint demos and a shared board, so there are no surprises on launch day.
Flexible Team Size
Add two engineers to your team or hand us the whole project. We fit the way you already work.
Support After Launch
Clear handover docs, a codebase walkthrough and optional maintenance plans with agreed response times.
Industries We Serve
AI Automation Use Cases by Industry
AI agents are useful wherever people read, sort and respond to information all day. These are the teams we help most.
Customer Support
Sales & Lead Qualification
Logistics Operations
Finance & Accounting
Healthcare Admin
HR & Recruitment
Legal & Compliance
E-commerce Operations
Engagement Models
Work With Us Your Way
Choose the model that fits your timeline, budget, and internal capacity.
Fixed Price
Best for projects with a clear scope and a defined list of deliverables.
Ideal for
Most Popular
Dedicated Team
A full-time team that works inside your tools and rituals, like your own in-house developers.
Ideal for
Time & Material
Pay for the hours actually worked. Good when requirements are still taking shape.
Ideal for
FAQ
AI Automation FAQs
Quick answers to what most clients ask before getting started.
A chatbot answers questions. An AI agent can also take actions: it reads an email, looks up the order in your system, updates the CRM and replies to the customer. We build agents that use your tools through secure API and function calls.
Customer support replies, lead qualification, invoice and document processing, report generation, data entry, email drafting, internal knowledge search and ticket routing. Any task where people read information and follow rules is a good fit.
We ground answers in your own data with RAG, show source links, add confidence checks and keep a human approval step for risky actions. Automated evaluations run on every release to catch problems before users see them.
Yes. We connect AI agents to WhatsApp Business, email, Slack, Zoho, HubSpot, Salesforce, Tally and custom databases, using APIs or the Model Context Protocol (MCP).
We work with OpenAI GPT models, Anthropic Claude, Google Gemini and open-source models such as Llama and Mistral, using frameworks like LangGraph, CrewAI and the OpenAI Agents SDK. We pick the model based on accuracy, speed and cost for your use case.
A focused project, such as a support chatbot trained on your documents, takes 4 to 8 weeks. Multi-agent systems or projects that need data cleanup take 12 to 20 weeks.