How long does it take to build a custom AI agent?

2-6 weeks depending on complexity. A website chatbot can ship in under 2 weeks. Database-connected agents with complex logic typically take 4-6 weeks. You'll see weekly progress demos throughout.

What AI models do you use to build agents?

GPT-4, Claude, Gemini, Llama, and others. We pick the best model for your use case based on performance, cost, and any compliance requirements you have. We can also fine-tune models on your data.

How do AI agents handle data security?

AES-256 encryption, TLS 1.3, zero-trust architecture, role-based access, and full audit logging. We can also deploy on-premises or in your own cloud if needed. Your data never touches our servers unless you want it to.

Can AI agents connect to our existing database?

Yes - PostgreSQL, MySQL, SQL Server, MongoDB, Snowflake, BigQuery, and more. The agent understands your schema and respects your access controls.

What if the AI agent gives wrong answers?

We build in guardrails: confidence scoring, source citations, and escalation paths to humans. Agents can be configured to say 'I don't know' instead of guessing. You also get monitoring dashboards to catch issues early.

How much does it cost to build a custom AI agent?

We quote based on your actual needs - number of agents, complexity, integrations required. No hidden fees. Reach out and we'll put together a transparent proposal within 48 hours.

Do we own the AI agent code?

Yes. Everything we build for you is yours - the code, the models, the configurations. No lock-in, no proprietary dependencies.

Can we white-label the AI agents?

Absolutely. Full custom branding - name, personality, UI, everything. Your users will never see our name unless you want them to.

What is the difference between an AI chatbot and an AI agent?

A chatbot follows scripted responses. An AI agent connects to your real systems - databases, APIs, CRMs - and takes autonomous actions like processing refunds, updating records, transferring teams, and generating reports. It understands context, makes decisions, and executes with human approval when needed.

AI Agent vs Chatbot: What Is the Difference?

An AI agent is software that connects to your real business systems -- databases, APIs, CRMs -- and takes autonomous actions like processing refunds, updating records, and generating reports. A chatbot follows pre-written scripts and can only answer questions it was programmed to handle. The difference is action versus conversation.

What is a chatbot?

A chatbot is a conversational interface that responds to user input based on predefined rules or simple pattern matching. Traditional chatbots use decision trees: if a user says X, respond with Y. More advanced chatbots use natural language processing to understand intent, but they still only talk -- they cannot take real actions in your systems.

Chatbots work well for simple FAQ-style interactions: answering store hours, return policies, or routing customers to the right department. They fail when a customer asks something outside the script, or when the interaction requires pulling live data from a database.

What is an AI agent?

An AI agent is an autonomous system powered by large language models (GPT-4, Claude, Gemini, or open-source models like Llama) that can reason about tasks, access real data, and execute multi-step workflows. Unlike chatbots, AI agents connect to your actual infrastructure.

A custom AI agent built by AgentSolutions can:

Query your PostgreSQL or MongoDB database and return live business data
Process a refund by connecting to Stripe or your payment gateway
Update a CRM record in Salesforce or HubSpot based on a conversation
Route a support ticket to the right team based on context, not keywords
Generate reports by pulling data from multiple sources and summarizing them
Handle document processing: extract data, classify, route, and archive

Key differences: AI agent vs chatbot

Feature	Chatbot	AI Agent
Data access	Static FAQ only	Live database queries
Actions	None -- talk only	Refunds, updates, routing, reports
Intelligence	Rule-based / simple NLP	LLM-powered reasoning
Integrations	Limited or none	APIs, databases, CRMs, any system
Handles edge cases	Breaks or loops	Reasons and escalates
Setup time	Hours to days	2-6 weeks (custom-built)

When to use a chatbot

Chatbots are a good fit if your needs are simple: answering FAQs, collecting basic lead information, or providing store hours. If you do not need the agent to access live data or take actions in your systems, a chatbot is cheaper and faster to set up.

When to use an AI agent

Use an AI agent when you need software that actually does work -- not just talks about it. If your support team spends hours answering questions that require looking up data, if your operations team manually processes documents, or if you want to automate multi-step workflows, an AI agent is what you need.

AgentSolutions builds custom AI agents for e-commerce, healthcare, finance, education, real estate, and SaaS companies. Each agent is purpose-built for your industry, connected to your data, and deployed with enterprise-grade security.

Bottom line

A chatbot answers questions. An AI agent does the work. Most businesses that think they need a chatbot actually need an AI agent -- they just did not know the technology existed until now.

If you are not sure which one fits your business, AgentSolutions offers a free AI integration report that analyzes your operations and shows exactly where AI agents can save you time and money.