Autonomous Workflows
Agents handle multi-step tasks end-to-end — research, decide, act, report — without a human at every step.
AI Agent Development
Custom AI Agents That Handle Real Work Autonomously
DTS designs and builds AI agents that don't just answer questions — they take action. Autonomous workflows, RAG-powered assistants, LLM integration, and multi-agent systems that read your data, make decisions, and complete tasks without constant human oversight.
Built With
OpenAI GPT
Claude
LangChain
LangGraph
Pinecone
Agents that reason, decide, and act.
What It Is
Not a chatbot. A system that does the work.
A chatbot answers questions. An AI agent reads instructions, understands context, makes decisions, calls APIs, writes to your systems, and completes multi-step workflows — autonomously. It's the difference between a tool that talks and a tool that works.
Gartner predicts 40% of enterprise applications will integrate AI agents by the end of 2026. The companies building them now are pulling ahead. DTS builds custom AI agents that connect to your data, your tools, and your workflows — so repetitive knowledge work gets handled by a system that never tires, never forgets, and scales infinitely.
Benefits
What an AI agent gives your business.
Knows Your Business
RAG architecture means the agent reasons over your documents, data, and knowledge — not generic internet text.
Takes Real Actions
Calls APIs, updates CRMs, sends emails, writes files — the agent doesn't just suggest, it executes.
Scales Instantly
One agent or a thousand simultaneous tasks — no hiring, no training, no fatigue. Pure leverage.
Use Cases
AI agents DTS can build for you.
Lead & Sales Agents
Qualify leads, draft personalized follow-ups, update CRM, and route hot opportunities — autonomously.
Support & Helpdesk Agents
Triage tickets, summarize issues, suggest resolutions from your knowledge base, and escalate intelligently.
Internal Knowledge Agents
RAG-powered assistants that answer employee questions from your documents, policies, and data — accurately.
Document Processing Agents
Extract, classify, and route data from invoices, contracts, forms, and emails — no manual data entry.
Research & Reporting Agents
Gather data from multiple sources, analyze, and generate structured reports on a schedule or on demand.
Multi-Agent Systems
Coordinated teams of specialized agents that handle complex workflows together — each with a defined role.
Technology
The AI stack DTS builds with.
We choose the right model and framework for your cost, accuracy, and privacy needs.
OpenAI GPT-4
Anthropic Claude
LangChain
LangGraph
Pinecone
pgvector
Node.js
Python
Supabase
Vercel
FAQ
Common questions about AI agent development.
What is an AI agent?
An AI agent is a software system powered by large language models that can understand instructions, make decisions, take actions, and complete multi-step tasks autonomously. Unlike a chatbot that only answers questions, an AI agent can read your data, call APIs, send emails, update records, and handle real workflows without human intervention.
How much does AI agent development cost?
Pricing is customized per project and never quoted publicly. Share your goal through the contact form and DTS will reply personally with a tailored quote within 1 business day.
What can an AI agent do for my business?
AI agents can handle lead qualification and follow-up, customer support triage, document processing, report generation, data entry, appointment scheduling, internal Q&A over company knowledge, and any repeatable workflow that currently requires a human to read, decide, and act.
How is this different from a chatbot?
A chatbot answers questions based on scripted responses or simple retrieval. An AI agent reasons through multi-step tasks, takes real actions (sending emails, updating CRMs, calling APIs), and operates autonomously once configured. Agents handle workflows; chatbots handle conversations.
What technologies does DTS use to build AI agents?
DTS builds AI agents using OpenAI GPT models, Anthropic Claude, open-source LLMs, LangChain and LangGraph for orchestration, vector databases (Pinecone, pgvector) for RAG, and Node.js or Python for the agent runtime. We choose the model and stack that fits your cost, accuracy, and latency requirements.
Is my data safe with an AI agent?
Yes. DTS builds agents that run on your infrastructure or private cloud, with role-based access, audit logging, and no unnecessary data exposure. We can use enterprise API tiers with zero data retention, or self-hosted open-source models for maximum privacy and compliance.
Related Services
Explore related DTS services.
Start a Project
Build an AI agent that works for you.
Tell DTS what workflow you want to automate with AI. You'll get an instant confirmation and a personal reply within 1 business day.
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