For SMEs, mid-sized companies and scale-ups
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
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
- 01
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.
- 02
Free quote within 48 hours
For the option you pick: scope, tools involved, data used and price, in writing.
- 03
Build and try
We build the agent, try it on your real examples and adjust it with the team that will use it.
- 04
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 | General AI assistantWhatever each person pastes into the chat. | AI agent connected to your toolsThe documents and data you give it access to, no more and no less. |
| What it does | General AI assistantIt drafts, summarizes and answers; someone then copies the result into your tools. | AI agent connected to your toolsIt acts in your tools under written rules, with a person signing off where you want one. |
| Oversight | General AI assistantEveryone uses it their own way, with no shared record. | AI agent connected to your toolsEvery step is logged: you see what the agent did, and why. |
| Data | General AI assistantDepends on each account's settings and plan. | AI agent connected to your toolsModel provider and data access agreed with you before we build. |
| When to choose it | General AI assistantFor individual use: drafting, research, ideas. | AI agent connected to your toolsFor 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.
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.
Tell us what you need.
Something to build, people to find or a question to answer. In a 30-minute call we listen and tell you honestly how we can help, and what it would take.