AI Chatbot Development Services: Custom Chatbot Development Company

Updated September 2026 · Written and maintained by the Progression Agency strategy team

Progression Agency is a chatbot development company that builds custom AI chatbots grounded in your own content and connected to your systems: for websites, apps, support desks and internal teams. A real estate AI chatbot, for example, can answer questions about current listings and book showings with the right agent. Our AI chatbot development services cover conversation design, retrieval over your documents, integrations, guardrails, analytics and handoff to people.

What is AI chatbot development?

AI chatbot development is designing and building a conversational interface powered by a language model that answers questions and performs simple tasks from approved sources, integrated into a website, app or internal tool.

Modern chatbots use retrieval-augmented generation: they search your documents for relevant passages and answer from them, citing sources, which keeps them accurate about your business. Our AI automation agency page covers packaged chatbot setups for small businesses; custom development suits larger content sets, integrations and brand requirements.

Custom chatbots we develop

Our custom chatbot development services cover customer-facing and internal assistants. Scope varies widely within one field: a health AI chatbot that explains clinic hours, coverage and intake steps is a far smaller project than a medical AI chatbot that clinicians consult, which must answer from approved references and leave every decision to a licensed professional.

Website chatbots

Answer visitor questions from your site and documents, qualify leads and book appointments. A lawyer AI chatbot on a firm’s site is a good example: a packaged widget can collect contact details, while a custom build can run practice-specific intake questions and stop short of anything resembling legal advice. Utah’s disclosure rule for chat windows is covered in our Salt Lake website design review.

Customer support chatbots

Resolve order, account and policy questions with order-system lookups and handoff to agents with context.

Internal knowledge assistants

Help staff find answers in HR policies, SOPs and product documentation. An enterprise AI chatbot tends to outgrow packaged licenses when answers must respect each employee’s permissions across document stores, HR and ticketing systems, which a custom retrieval layer can enforce.

Ecommerce shopping assistants

Recommend products, answer specification questions and check order status. A packaged ecommerce AI chatbot can cover FAQs and tracking links. Answers that depend on live stock, bundles or your own returns rules need custom work.

Voice and phone bots

Handle calls, answer common questions and route callers.

In-product assistants

Help users inside your SaaS or app with contextual guidance. A few companies go further and commission a standalone AI chatbot app under their own brand, adding sign-in, saved conversations and billing that an embedded widget was never designed to carry.

Resolve order, account and policy questions with order-system lookups and handoff to agents with context.

Instagram AI chatbot for direct messages

The bot answers through Meta’s messaging API, using your catalog, policies and booking calendar as its source. For a brand whose sales start in DMs, that usually means sizing and availability questions, order status and appointment requests, with a person taking over when a question gets personal or the bot is unsure of its answer.

Meta publishes rules on when and how a business account may send automated messages, and apps go through its review process, so we design conversation flows around the current policy from the start. Conversations can be logged to your CRM along with the post or ad that started them, which shows which content actually leads to sales.

What features should a custom chatbot have?

These features separate a useful chatbot from a frustrating one.

Systems chatbots integrate with

Integrations turn a chatbot from an FAQ into a service channel.

Accuracy, safety and privacy

Chatbots speak for your brand, so safeguards are essential. Regulated settings raise the bar past what a general-purpose widget offers: a bank AI chatbot needs audit trails and strict limits on account data, and a healthcare AI chatbot has to keep patient information inside approved systems.

• Answers restricted to approved sources, with citations.
• Refusals and handoff for out-of-scope or sensitive requests.
• Protection against prompt injection.
• Privacy notices and data-retention settings appropriate to your industry.
• Enterprise model endpoints that do not train on your data.

Our chatbot development process

We identify the questions and tasks that matter, audit and clean the content, design conversations and handoff, build retrieval and integrations, evaluate against real questions, then launch and improve weekly from analytics.

Choosing an AI chatbot development company

An AI chatbot development company should be able to explain how the chatbot gets its answers, what it is allowed to say and what happens when it does not know. Ask to see how it handles source documents, hand-off to a person, logging and privacy before anything is built.

Agree a first release small enough to test with real users: one or two tasks, a clear success measure and a review of every failed conversation. Expand only after the first release behaves well.

How much does AI chatbot development cost?

At market rates, a grounded website chatbot commonly costs $10,000-$30,000, an integrated support chatbot $30,000-$80,000, and an enterprise assistant across several systems $80,000+. Model usage is billed separately by volume.

Technology for AI chatbots

We choose models and retrieval per use case.

What AI chatbot software includes beyond the model

The model gets most of the attention and is often the easiest part to swap. Most of the engineering sits around it: an ingestion job that re-reads your documents when they change, a retrieval index that respects permissions, conversation memory, and tool calls that look up an order or open a ticket.

Two parts tend to get left out of early budgets. An admin console lets your team read transcripts, correct a bad source and see which questions went unanswered without calling a developer. An evaluation set, a fixed list of real questions with agreed answers, runs before each release, so a model upgrade or content change cannot quietly make the bot worse. Ask any vendor to show you both.

Chatbot mistakes to avoid

These are why many chatbots get switched off. An AI chatbot website widget can earn that fate before anyone types, by slowing the page or covering mobile buttons and checkout, so we load ours after the content renders and keep it clear of both.

• Letting the bot answer from general knowledge instead of your sources.
• No path to a human.
• Launching without testing real questions.
• Stale content feeding the bot.
• Hiding the bot’s limitations.
• Not reviewing analytics after launch.

Why choose Progression Agency for chatbot development?

We build chatbots as part of your customer experience and marketing. Buyers who want AI chatbot development in the USA tend to care most about working hours that overlap theirs and a plain statement of where conversation data lives and which staff can open transcripts. As an app development company for chatbots, we can place the assistant inside your mobile app, where it uses the signed-in user’s account context instead of asking for details the app already has.

• Content audit and grounding first.
• Integrations with help desks, CRMs and ecommerce.
• Evaluation before launch.
• Lead capture tied to your marketing analytics.
• Packaged options through our AI automation agency when custom is not needed.
• Headquartered in New York City.

Related AI services

See AI agent development, AI integration services and AI customer service.

Frequently asked questions