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    Will AI work with the systems you already use?

    Often it can, depending on the access each system allows, your licences and the state of your data. This guide explains the ways AI connects to existing tools and what to check first.

    Guide · Updated October 2026

    The short answer

    Replacing your existing systems is often unnecessary

    Quick answer

    AI can often connect to the systems a business already uses. Microsoft 365, Google Workspace, Salesforce and HubSpot, for example, offer built-in AI features or ways to connect other tools. Whether that works for you depends on the access each system allows, your licence terms and the quality of your data, so check those first.

    A common worry is that using AI means replacing your CRM, finance software or project management platform. In many cases the existing systems can stay, with AI added through built-in features or connections.

    We first check the systems you use, the access they allow and any licence restrictions. We then recommend a practical way to connect them, or explain where a change may be needed. Built-in AI features are not always included in your current subscription.

    How integration works

    Four ways AI connects to your existing tools

    Built-in AI features

    Some tools include AI features, such as Copilot in Microsoft 365, Gemini in Google Workspace, Salesforce Einstein, HubSpot's AI tools and Notion AI. These usually need little or no integration work, but some require an add-on or a higher plan.

    EffortLow

    API connections

    Many business systems and AI platforms offer APIs, which let software exchange data directly. These can support uses such as AI steps in CRM workflows or document processing, while your existing platforms stay in place.

    EffortMedium

    Middleware and automation tools

    Platforms such as Zapier, Make and Microsoft Power Automate sit between your existing tools and AI services, and can run automations with little or no custom code. Some tasks are handled well by ordinary automation in these tools with no AI step.

    EffortLow to medium

    Custom integrations

    For your own systems, older platforms or very specific processes, a custom integration may be needed. It takes more work and needs maintaining, and it lets AI work directly with your own data.

    EffortHigher

    Common examples

    Examples of AI connected to business systems

    AI can draft follow-up emails, summarise call notes and suggest which leads to contact next, inside the CRM, for a salesperson to check.

    CRM (Salesforce, HubSpot, Pipedrive)

    AI can draft replies, summarise threads, prepare meeting briefs and suggest meeting times from written instructions.

    Email and calendar (Outlook, Gmail)

    AI can summarise tasks, draft project updates and highlight overdue or blocked work for a project lead to review.

    Project management (Asana, Monday, Notion)

    AI can answer questions about stored documents, find relevant material and summarise long files, within the permissions each user has.

    Document and file storage (SharePoint, Google Drive)

    AI can extract data from invoices and receipts, flag unusual entries for checking and summarise figures for colleagues outside finance.

    Finance and accounting (Xero, QuickBooks)

    AI can answer routine questions, suggest replies to support staff and route tickets by content and urgency.

    Customer service platforms (Zendesk, Intercom)

    Before you start

    What to check before building an AI integration

    Does your existing system have an API?

    Many cloud software products do, though access may depend on your plan. Check the documentation or ask the supplier. If there is no API, a middleware tool may be able to connect it.

    What data will the AI need access to?

    Define this before building. Give the integration the minimum access it needs, which limits risk and keeps the integration simpler to maintain.

    Who owns the data in your existing systems?

    This matters most for shared platforms and client data. Make sure you have the right to connect AI tools to the data you plan to use, and check the licence terms of each system.

    What does success look like?

    Agree a specific outcome, such as time saved, errors reduced or steps removed, before building. It shapes the design and tells you whether the integration is worth keeping.

    Common questions

    Questions about AI integration

    Will we lose our existing data if we add AI?

    Adding AI does not normally involve migrating your data. Integrations read from and write to your existing systems. Because they can write data, test them first and limit what they can change, and keep backups as you would for any system change.

    What if our systems are old or not cloud-based?

    Older or on-premises systems are harder to connect, and some cannot be connected without changes. Some have documented APIs or can be reached through intermediary tools. We assess what is feasible during scoping.

    Can AI connect to our CRM?

    Often, yes. Many CRMs, including Salesforce, HubSpot, Pipedrive and Zoho, have AI features or are supported by integration platforms. What is possible depends on the CRM, your plan and the task you have in mind.

    How long does an integration typically take to build?

    It depends on the systems and the task. A simple connection in a middleware platform can be quick to set up. A custom API integration with testing takes longer. We agree the timing when the work is scoped.

    What if the AI tool we choose isn't supported by our existing software?

    Look for another way to connect, such as a middleware platform or a custom integration, or consider a different AI tool that your software does support. We identify these options during scoping.

    Does adding AI to our systems create new security risks?

    It can. Each integration needs access controls that give the AI only the permissions it needs, and actions that change records or contact customers may need a person's approval. Agree those controls and test them before the integration goes into daily use.

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