AI services for business
Four ways companies actually put AI to work. Audit first if you are unsure, pilot first if you already know where it hurts.
- Audit
- One week
- Pilot
- 2-4 weeks
- Deployment
- Cloud or on-premises
- Coverage
- Remote, EU / UK / US
AI agents for business
Agents that read documents, answer customers and prepare quotations inside your own systems, with a human approving anything that matters.
read -> [02] auditAI readiness audit
One week, your real processes, a ranked shortlist of what AI should automate first - with hours, costs and payback attached to each one.
read -> [03] privatePrivate AI development
Private LLMs on hardware you own, for data that cannot leave the company. Or the cloud, when that is genuinely the cheaper answer.
read -> [04] ecommerceAI for e-commerce
Storefront assistants, catalog generation, stock signals and fitment checks for WooCommerce, Shopify, PrestaShop, BigCommerce and custom stacks.
read ->Which one do you need?
Read down the left column until a row describes your situation.
| Where you are | Start with | Why |
|---|---|---|
| Several candidate processes, no agreement on priority | AI readiness audit | A week of analysis is cheaper than a quarter spent on the wrong process |
| One obvious process, rules already written down | AI agents | Skip the analysis, go straight to a supervised pilot |
| Legal or contractual block on sending data out | Private AI development | The architecture decision comes before the use case decision |
| You run an online store | AI for e-commerce | The process inventory is largely known, so the route is faster |
| No product on the market fits the workflow | Custom AI software | The integration is the project, and it needs specifying properly |
How an AI project runs. Four steps, no magic.
AI audit
In one week we find the processes where AI pays back fastest, ranked by hours saved against cost to build.
Pilot
In 2-4 weeks a working solution runs in one real process, with a human approving every output.
Deployment
We integrate with your ERP, CRM and file systems, train the team on the exceptions and hand over control.
Care
SLA, monitoring and model updates, so the system gets reviewed instead of quietly aging out.
Before you pick one.
Which AI service should we start with?
If you already know which process hurts and its rules are written down, start with a pilot. If there are several candidates and no agreement on priority, start with the one-week audit. Almost nobody should start by choosing a platform or a model, because that is the last decision, not the first.
Do you work with companies outside Lithuania?
Yes. Audits, pilots and deployments all run remotely, and we work with clients across the EU, the UK and the US. On-premises hardware projects are the one case where someone eventually has to be in the building, and we plan for that in the scope.
How small is too small for an AI project?
Roughly, if no single process consumes several hours a week of somebody's time, the integration effort will not pay back yet. Under that threshold the honest advice is usually to use off-the-shelf AI tools well rather than to build anything, and we will say so on the call.
What makes you different from a consultancy?
We run our own businesses on the systems we sell: an auto parts e-commerce operation, a real estate SaaS platform and our own AI products. That means our advice comes from having maintained these things in month nine, not from a slide about industry trends. It also means we know which automations get switched off.
Not sure which one you need?
That is the normal starting position and it is what the first call is for. Thirty minutes, no deck, including the option where the answer is that you do not need us yet.
Book a free 30-minute call