Custom AI assistant development is building an AI assistant around one team's real work. We choose the tasks, connect a large language model to your documents and tools, set permissions and approval steps, test it on real requests and keep improving it after launch. The result is an assistant that knows your business, not a general chat tool.

A custom AI assistant is software built on a large language model that understands plain-language requests, uses your company's own knowledge and connects to your tools. It can answer questions, draft content, look up records and complete tasks for a specific team, while following your rules about data and actions.

A Starter assistant for one role usually costs $7,000 to $15,000. A Business assistant with several tasks and approval steps costs $15,000 to $35,000, and an Enterprise assistant with SSO and private hosting starts around $35,000. After 2 weeks of free support, an optional Care Plan starts from $750 a month. LLM usage fees are billed separately by the provider.

Most custom AI assistants go live in 4 to 10 weeks. You see a working demo on your own data by the end of week 2. Enterprise assistants with many departments, private hosting and strict security take about 10 to 16 weeks.

We work in five steps: discover the tasks worth automating, design the assistant and show a demo, build and connect it to your tools, test it on real tasks and launch to a pilot group, then measure hours saved and improve it. Every launch includes 2 weeks of free post-launch support.

A chatbot mainly answers questions, often for customers on a website. An AI assistant works alongside your team: it drafts, looks things up, summarizes and takes actions when asked. An AI agent goes further and completes multi-step goals on its own. Most of our assistants use agent features, but keep a person in the loop for anything risky.

Tools like ChatGPT, Microsoft Copilot and Gemini are good general helpers, and they're the best AI personal assistant choice for many individuals. For a business, the best AI assistant is usually one that knows your own data, works inside your tools and follows your security rules. That's what a custom assistant adds on top of the same models.

Yes. We connect it to your wikis, drives, policies, tickets and CRM using retrieval augmented generation (RAG), so it searches your content first and answers from it with sources. It only sees the data each person is allowed to see.

Yes. Through function calling and MCP connections it can create tickets, update deals, book meetings and draft emails. You decide which actions need a person to approve first, and every action is logged.

Yes. We add speech-to-text and natural text-to-speech so people can talk to the assistant on a phone line, in an app or hands-free in the field. For full phone receptionists and call automation, see our Voice AI work.

We pick the model for your task and budget: GPT, Claude, Gemini, Llama or Mistral, and often more than one, with a smaller model for simple steps to save cost. Because we build model-independent, you can switch models later without rebuilding the assistant.

Yes. It can live in Slack, Microsoft Teams, Google Workspace, a web app, a browser extension, your SaaS product or a mobile app, with the same brain behind every channel.

It can be. For custom AI assistant development for enterprise we add single sign-on, role-based access, personal data masking, audit logs and private hosting in your own cloud. Your data isn't used to train public models. Our builds follow GDPR principles and are HIPAA-ready when the right hosting and agreements are in place.

We ground answers in your own sources, show where each answer came from, test the assistant on 100+ real tasks and attack prompts before launch, and require approval for risky actions. After launch we review failures every week and fix the prompts, data or tools behind them.

You own the code, prompts, data and cloud accounts. Every launch includes 2 weeks of free post-launch support to fix issues and tune the assistant on real use. After that you can choose a monthly Care Plan or run it in-house with our handover training.