AI Copilot Development Services

An AI copilot is an AI assistant embedded in software that works alongside a person. It understands the context of what the user is doing, drafts content, summarises information, answers questions from company data and suggests next steps, while the user reviews and decides. Well-known examples include Microsoft 365 Copilot and GitHub Copilot; a custom copilot is built for your specific product, role or workflow.

A chatbot is usually a standalone conversation, often with customers. A copilot lives inside the user's workflow and assists them while they stay in control. An AI agent works more autonomously, completing multi-step tasks on its own. Many solutions combine them. See our AI chatbot development services and AI agent development for those use cases.

A custom copilot is an AI assistant built for your organisation, grounded in your own knowledge base and data, connected to your systems and designed around specific roles, such as a sales copilot in your CRM or a copilot inside your SaaS product. It can be built from scratch or on top of platforms like Microsoft Copilot Studio.

We start by choosing the role and tasks the copilot will support, then decide the build route: fully custom, or extending Microsoft 365 Copilot with Copilot Studio. Next we connect the copilot to your data with permission-aware retrieval, design its skills, prompts and interface, add actions and integrations, test it against real tasks, pilot it with users and roll it out.

Yes. We build custom agents in Microsoft Copilot Studio, connect line-of-business data through Microsoft Graph connectors, add actions and plugins, and publish copilots to Teams, Outlook and SharePoint, with governance and access policies aligned to your Microsoft 365 tenant.

AI copilot development cost depends on the build route (extending Microsoft 365 Copilot vs. a fully custom copilot), the number of skills and data sources, integrations, security and compliance requirements, and expected usage, which drives model and hosting costs. A focused copilot for one team costs far less than a customer-facing copilot inside a multi-tenant SaaS product. We provide a written estimate after a short discovery session.

A focused copilot pilot, for example a knowledge copilot for one team, can often be ready in a few weeks. Copilots with multiple skills, several integrations or a customer-facing rollout in a SaaS product typically take a few months. Data access and the number of integrations have the biggest effect on the timeline.

Yes. We use permission-aware retrieval so the copilot only uses content the current user can already access, connect through SSO, encrypt data, log interactions for audit, set retention limits and use model providers and settings that do not train on your data. Private or regional deployment is available where required.

We build copilots on OpenAI GPT models, Anthropic Claude, Google Gemini, Azure OpenAI and Amazon Bedrock, or on open-weight models such as Llama and Mistral for private deployments. We often route simple tasks to smaller, cheaper models and complex reasoning to stronger ones to balance quality and cost.

CodeBase Coders provides end-to-end AI copilot development services: copilot consulting, custom and in-product copilots for SaaS, Microsoft 365 Copilot and Copilot Studio extensions, data integration, UX and prompt design, fine-tuning and ongoing support. For connecting AI to more of your systems, see our AI integration services. Contact us to plan your copilot.