--- title: "AI for SMEs: AI agents and automation" description: "AI agency for SMEs: we design, build and run AI agents connected to your tools, with a person signing off where it matters. Free quote within 48 hours." canonical: https://sdk.enterprises/en/ai-for-smes language: en --- # AI for SMEs: agents that do the repetitive work. Sorting incoming email, preparing quotes, chasing invoices, summarizing files: in a small or mid-sized company these tasks eat hours every week. We design AI agents and automations that handle them inside your own tools, with written rules and a person signing off wherever you want one. We build them, put them into service, then look after them. - Free quote within 48 hours - Free AI audit: a 45-minute video call and a written summary - Our engineers built AI-driven internal tools at NorthStar Network [Book a call](https://sdk.enterprises/en/book-a-call). [Free AI audit](https://sdk.enterprises/en/free-ai-audit). ## What AI can actually fix in a small company - **Inboxes that overflow**: Customer requests, orders, attachments: an agent reads each message, files it, pulls out what matters and prepares the reply or the task in your tool. - **The same data typed twice**: The same details copied from email to spreadsheet, then from spreadsheet to invoicing. An automation moves them once, without typos. - **Documents to read end to end**: Contracts, tenders, meeting notes: the agent summarizes, finds the clauses and dates that matter, and flags what needs your attention. - **AI tools tried, never adopted**: Everyone tries ChatGPT on their own, with no shared rules and nothing to measure. We start from one precise task, with a result your team can check. ## An agent running in production, not a prototype left in a corner - **A well-chosen first task**: Frequent, easy to check, and worth automating. We pick it with you, from the work your team actually does. - **An agent or workflow in service**: Connected to your tools (email, CRM, spreadsheets, business software) and tried on your own examples before it goes live. - **Written guardrails**: What the agent can read and do, what it logs, when it asks a person: agreed with you and documented. - **Follow-up after launch**: We watch the results, correct what drifts and add tasks one at a time, when the team is ready. ## How an AI project with us runs - **Free AI audit**: A 45-minute video call to understand your business and spot the tasks to automate, then a written summary of 3 options. - **Free quote within 48 hours**: For the option you pick: scope, tools involved, data used and price, in writing. - **Build and try**: We build the agent, try it on your real examples and adjust it with the team that will use it. - **Launch and follow-up**: The agent goes into production with its logs and sign-off rules. We stay responsible for it working. ## Tasks AI handles well in a small company A few examples by team. The right first case depends on your business: that is what the audit is for. - **Customer service**: Answer frequent questions from your own documents, and hand anything the agent cannot handle to a person. - **Admin and finance**: Read supplier invoices, match them to orders and prepare the bookkeeping entry for approval. - **Sales**: Qualify incoming requests, complete CRM records and prepare follow-ups. - **Operations**: Write meeting notes, track contract deadlines and alert the right person at the right time. ## A general AI assistant, or an AI agent connected to your tools? For one person's drafting, a general assistant is enough. For a task the whole team repeats, here is what changes. | Question | General AI assistant | AI agent connected to your tools | | --- | --- | --- | | What it knows about your company | Whatever each person pastes into the chat. | The documents and data you give it access to, no more and no less. | | What it does | It drafts, summarizes and answers; someone then copies the result into your tools. | It acts in your tools under written rules, with a person signing off where you want one. | | Oversight | Everyone uses it their own way, with no shared record. | Every step is logged: you see what the agent did, and why. | | Data | Depends on each account's settings and plan. | Model provider and data access agreed with you before we build. | | When to choose it | For individual use: drafting, research, ideas. | For a task the team repeats, whose result can be checked. | ## What our engineers have already shipped At NorthStar Network, an international sports media platform whose APIs serve 50M+ monthly users, our engineers built AI-driven internal tools that automate recurring engineering tasks. We also build SDK Pilot, our own AI agent, which shows its plan before acting and logs every tool call. - [Re-architecting APIs for a sports media platform with 50M+ monthly users](https://sdk.enterprises/en/work/northstar-sports-media-apis) ## What SME leaders ask us about AI ### Where should a small company start with AI? With one task: frequent, easy to check, and costing your team time. The free AI audit is there to find it: a 45-minute video call, then a written summary of 3 options. ### Do we need our own data or tech team? No. You mainly need someone who knows the task and can check the result. We handle the technical side: connecting your tools, choosing the model, hosting and follow-up. ### Where does our data go? Each agent is designed around your data policy: which systems it can reach, what it logs and which model provider processes what. We agree it with you before we build, with GDPR in mind. ### Which AI models do you use? We integrate the OpenAI and Anthropic Claude APIs, and choose task by task for quality, speed and your data rules. ### How much does an AI project cost? It depends on the task, the tools to connect and the volumes. We do not publish a price list: after a first conversation, you get a free quote within 48 hours, with the scope in writing. ## Start from your need - [Free AI audit](https://sdk.enterprises/en/free-ai-audit): A 45-minute video call to find what AI can automate in your business, then a written summary of 3 automations or AI agents to start with. - [n8n automation](https://sdk.enterprises/en/n8n-automation): n8n workflows that connect your tools and take over repetitive work, with AI where it adds something. - [Fractional CTO](https://sdk.enterprises/en/fractional-cto): A part-time technical director for your technical choices, team, suppliers and hiring, without a full-time hire. - [AI agents](https://sdk.enterprises/en/services/ai-agents): AI agents that take repetitive work off your team, with people in control. - [Technical audit and consulting](https://sdk.enterprises/en/services/consulting): Straight technical advice: architecture, AI strategy, due diligence and project rescue. - [Hire AI agent developers](https://sdk.enterprises/en/hire/ai-agent-developers): Vetted freelance developers who build AI agents on OpenAI and Anthropic Claude, with logs and human approval. - [Hire software architects](https://sdk.enterprises/en/hire/software-architects): Senior freelance architects and tech leads, or an architecture review or fractional CTO from our own engineers. - [How to build an AI agent for your business](https://sdk.enterprises/en/insights/building-an-ai-agent-for-your-business) - [Using AI agents safely for code review, tests and deploys](https://sdk.enterprises/en/insights/ai-agents-engineering-workflows) - [Evaluating an AI agent proof of concept before you scale it](https://sdk.enterprises/en/insights/evaluating-an-ai-agent-proof-of-concept)