Skip to content
A2ZTECH
AI

AI · Service

ChatGPT apps that connect securely to your data, tools, and workflows.

ChatGPT-powered apps that connect securely to internal data. Enabling safe queries, preset functions, and workflow automation through AI.

ChatGPT apps

Overview

ChatGPT Apps allow your organisation to interact with internal data and systems securely through conversational interfaces. By connecting a Managed Connection Protocol (MCP) server to your internal databases, CRMs, or APIs, we make it possible for users to query data, execute actions, and retrieve insights directly within a ChatGPT environment or custom web app.

Each solution is built with strict permission controls and tool-based access, ensuring sensitive information remains protected. Whether employees need to check invoice status, raise a support ticket, or pull live analytics — the AI responds instantly, using authorised data and performing only pre-approved functions.

This architecture combines the conversational power of ChatGPT with the reliability of your existing infrastructure — bridging the gap between natural language and operational efficiency.

Capabilities

What we typically cover.

  • 01

    Secure Data Access

    Connect ChatGPT to internal databases and CRMs via MCP servers with strict authentication and data governance.

  • 02

    Function Execution

    Enable AI-driven workflows that perform preset actions like creating tickets, sending updates, or retrieving reports securely.

  • 03

    Custom Interfaces

    Deploy ChatGPT inside a private web app or intranet tool, maintaining brand consistency and access control.

The process

Each ChatGPT project starts by identifying which systems, APIs, or data sources will be accessed through AI. We then deploy a secure MCP server layer that mediates all interactions — defining read/write permissions and function calls. From there, a ChatGPT-based interface or custom web app is developed to handle natural-language queries.

The outcome is a conversational AI that can retrieve internal data, carry out controlled actions, and assist employees in real-time — all within a compliant, auditable, and scalable framework that grows with your business.

FAQs

What prospects usually ask.

  • Custom GPT, ChatGPT app, or full custom web app — which is right for us?

    Custom GPTs are the lightest option — quick to build, useful for narrow internal tools, but limited to ChatGPT users on a paid plan. ChatGPT apps (with MCP integration) sit in between — they live inside ChatGPT but can call your real systems via tools and serve a wider audience. Full custom web apps with embedded AI are the right call when you need branded UX, fine-grained user permissions, or the AI to reach users who don't have ChatGPT accounts.
  • How does an MCP server keep our data secure inside ChatGPT?

    The MCP server sits between ChatGPT and your internal systems as a controlled gateway. ChatGPT calls defined tools (e.g. "lookup-invoice", "create-ticket") rather than getting direct access to your database. Each tool checks the user's permissions, validates inputs, logs the action, and returns only the data it's authorised to. You decide what's exposed; the AI only sees what you allow it to see.
  • What can a ChatGPT app actually do beyond answering questions?

    Real actions in your systems. Looking up customers in your CRM, creating support tickets, retrieving live analytics, drafting and sending emails (with human approval), updating records, generating reports, raising invoices. Anything a logged-in employee could do through your application's UI can be exposed as a tool the AI calls — with the same permission boundaries the employee would have.
  • How much does it cost to build a ChatGPT app?

    A focused ChatGPT app with MCP integration against an existing API surface typically costs £10,000–£40,000 to build. More substantial builds with multiple tools, custom auth, and audit infrastructure are more like £40,000–£120,000. Ongoing API costs depend on usage patterns but typically sit between £100 and £1,500 a month for SME-scale workloads.
  • Can the app perform actions in our internal systems, not just read?

    Yes — write actions are routine, but they're wrapped in safety. Reversible actions (creating drafts, raising tickets, updating non-critical fields) execute directly. Sensitive actions (sending external email, raising invoices, deleting records, transferring money) require explicit human confirmation in the app or workflow. The MCP server enforces this regardless of how cleverly the AI tries to bypass it.
  • What happens to our data inside ChatGPT — does it train OpenAI's models?

    On enterprise and team plans, no — data isn't used to train models and is processed under enterprise terms with appropriate data-handling guarantees. We always specify enterprise or team-tier deployments for any business use case rather than the consumer plan, and document the data flow explicitly so you can satisfy your own compliance review.
  • How do you handle different user permissions inside the app?

    Each user's identity is passed through to the MCP server (typically via OAuth or signed tokens), and the server enforces per-user permission rules at the tool level. Sales reps can see their accounts; managers can see their team's; admins see everything. The AI doesn't decide — your permission system does, exactly the way it would for a normal app login.
Available for new work

Got a system worth building? Let's talk it through.

Tell us what you're trying to solve. We'll come back inside two working days with honest thoughts on scope, approach, and what a working partnership could look like.

Start a conversation
Studio
Engine Shed, Bristol
Response
Within 2 working days
Building since
2003