How can a chatbot help my business?

A chatbot answers routine questions at any hour, collects details before a person takes over and frees your team for conversations that need judgement. How much it helps depends on how many of your questions have clear, approved answers.

Which channels can the chatbot run on?

We deploy chatbots to websites, mobile apps and messaging or social channels, with the same answers and handoff rules in each one.

How does the chatbot understand what users mean?

We use natural language processing or a large language model to work out what the user wants, ground the answer in your approved content and test the bot against real questions from your support history before launch.

Can the chatbot handle multiple languages?

Yes. We build chatbots that answer in the languages your customers use, and we test each language with real questions before launch.

Can the chatbot match our brand's tone?

Yes. We set the chatbot's tone and wording to match your brand, and keep it consistent with the content your support team already uses.

How do you handle data security and privacy?

We limit what the chatbot can see and do to what each conversation needs, keep customer data out of prompts where we can, log every lookup and action, and test against prompt injection before launch.

Can the chatbot integrate with our CRM and existing systems?

Yes. We connect the chatbot to your CRM, help desk or order system through their APIs, so it can look up records, log conversations and pass the full context to a live agent.

How long does it take to build a chatbot?

The timeline depends on how many question types the bot must handle, how much approved content exists to answer from, the systems it connects to and how many channels and languages it covers. We start with one set of questions and add more once the bot is in use.

What drives the cost of chatbot development?

Cost scales with the question types covered, the integrations, the channels and languages, and how much testing and review the answers need. We scope from your real support questions and explain what drives the estimate.

Can we start with a fixed-scope first release?

Yes. The first release covers one workflow, such as order status questions or appointment booking, in one channel with a handoff to your team. We add question types and channels once it is live.

What support do you offer after launch?

We review transcripts and handoffs, update the content and flows, monitor the integrations and keep the chatbot current as your products and policies change.

How do you use AI in delivery without risking quality?

AI tools help our engineers draft code and tests, but a person reviews every change, and it passes the same automated tests and security checks as any other code. Which tools may see your code or data is agreed with you at the start.

Person typing on a laptop beside a holographic chatbot with message bubbles

Artificial Intelligence

Chatbot Development

Customers want answers outside office hours, and support teams want fewer repeat questions. Agnotic Technologies builds chatbots that answer from your approved content, use your systems and hand off to live agents.

15-Minute Scoping Call

Customer support chatbotsAI assistants on large language modelsWebsite, app and messaging channelsCRM and help desk integration

What is chatbot development?

Chatbot development is designing, building and testing software that answers people in a chat window on a website, in an app or in a messaging channel. Agnotic Technologies builds chatbots that answer from your approved content, look up records through your systems, and hand the conversation to a live agent when a person is needed.

Customer support chatbots

Bots that answer routine questions from your approved help content, at any hour, and hand complex ones to your team.

AI assistants on large language models

Assistants built on a large language model, grounded in your documents and limited to the actions you allow.

Website, app and messaging channels

One chatbot deployed to your website, mobile app and messaging channels, with the same answers in each.

CRM and help desk integration

Lookups and updates in your CRM or help desk, and a handoff to a live agent with the full transcript.

Real-Time Projects

How do we build a chatbot?

From the questions your customers ask to a tested bot in your channels, with a handoff to your team.

Question review

We read real customer questions and agree which ones the bot answers and which go to a person.

Content and integrations

We connect the bot to your approved content and the systems it needs, such as your CRM or help desk.

Build and test

We test the bot against real questions, including attempts to misuse it, before launch.

Launch with handoff

The bot goes live in your channels with a handoff to live agents.

Review and improve

We review transcripts and handoffs, then update the content and flows.

Teams that trust our chatbot work

Global businesses trust Agnotic to deliver reliable, compliant software that drives success and fosters growth.

We Are Technology-Agnostic

With a diverse technology stack, we deliver solutions using a technology-Agnostic approach to meet your unique needs.

Wireframe & Ideation

User Experience

Voice of success

We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

“I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly.”

Aaron Phelan

Founder, Benchmark

Live chat, a chatbot or both?

Most support teams need both live chat and a chatbot: the chatbot for routine questions with clear answers, and a person for complaints, account changes and anything that needs judgement. Agnotic Technologies builds the chatbot and the handoff, so customers never repeat themselves.

The chatbot handles order status, policy questions and after-hours requests. Complaints and account changes that need identity checks go to a live agent, with the bot collecting the details first.

How should a chatbot hand over to a live agent?

A chatbot should hand over to a live agent with the full transcript and collected details, and tell the customer a person is joining. Agnotic Technologies builds this handoff into your live chat or help desk tool, so the agent starts where the bot stopped.

Customers can ask for a person at any point. Outside staffed hours, the bot says when an agent will reply, and every handoff is logged with its reason so you can see what the bot should learn next.

Facts and sources

Which frameworks guide chatbot risk?

Short facts we design, test and run chatbots around, each linked to its primary source.

The NIST AI Risk Management Framework is a voluntary framework that organizes AI risk work into four functions: Govern, Map, Measure and Manage.
Source: NIST AI 100-1
In July 2024, NIST released the Generative AI Profile (NIST AI 600-1), a companion to the AI RMF that helps organizations identify risks specific to generative AI and proposes actions to manage them.
Source: NIST AI 600-1
The OWASP Top 10 for LLM Applications (2025) ranks prompt injection first: user prompts that alter a model's behavior or output in unintended ways.
Source: OWASP GenAI Security Project, LLM01:2025
OWASP defines excessive agency as the vulnerability that lets an LLM application take damaging actions in response to unexpected, ambiguous or manipulated model output, usually caused by excessive functionality, permissions or autonomy.
Source: OWASP GenAI Security Project, LLM06:2025