™AI built into how you work
We don't sell AI tools. We build AI into your organisation: we identify, design and implement automations that solve real operational problems, then hand them over so you own them.
The gap
You know AI could help. You just don't know where to start. Most teams sense the opportunity, but between the hype, the tools and the technical complexity, nothing gets built. That's the gap this division fills.
“We're wasting hours on repetitive work”
Your team spends valuable time on tasks that follow the same pattern every day, tasks AI could handle in seconds.
“We've tried AI tools, but nothing fits together”
ChatGPT here, a Zapier there: disconnected tools that add complexity instead of removing it. You need a coherent system.
“We don't know what's actually possible”
The field moves fast. It's hard to tell which uses are genuinely valuable for you, and which are just hype.
What we build
End-to-end automations that connect your existing tools and remove manual hand-offs.
n8n · APIsLanguage-model agents that read, classify, draft and route work, with a person approving anything important.
LLMsExtract, compare and check information across PDFs, contracts and databases, with structured reports.
PythonOn-brand drafting, formatting, approval and scheduling for social and editorial content.
PipelinesEnrich, score and prioritise enquiries; classify replies and draft contextual responses.
CRMWe don't hand you a strategy deck and leave. You get a working system, not a presentation.From the Kubair automation playbook
Example engagements
These are illustrative patterns based on typical engagements, not named client testimonials. Figures show the kind of results custom automation can unlock when scoped well.
Automated commission finder
A marketplace was losing unreported commissions. The system matches public signals against enquiry data, flags gaps and alerts support to recover revenue. Example impact: €10k–€15k a month recovered.
Product compliance analyser
Multi-database regulatory checks cut from hours of manual review to minutes, with structured PDF reports generated automatically. Example impact: around 95% faster review.
Brand-safe social content pipeline
End-to-end creation and scheduling of LinkedIn and Instagram posts to brand guidelines: draft, format, approve, publish. Example impact: hours saved weekly.
Lead intelligence & reply handler
Enrich, score and prioritise inbound leads; classify campaign replies and draft responses with the right attachments. Example impact: faster follow-up, cleaner pipeline.
How an engagement runs
- Step 01First conversation
We map where you're losing time, what your stack looks like and where AI can realistically help. You leave with a specific use case and a recommended approach.
- Step 02Onboarding
A clear checklist of access and context, coordination with your IT if needed, and the infrastructure stood up: workflows, model integrations, hosting.
- Step 03Version 1 in about five business days
A working automation, not a slide deck. We demo it live, gather feedback and iterate towards the final version, typically within about three weeks of kickoff.
- Step 04Handover
You own everything. Logins and code transfer to you, with an optional walkthrough video and team training.
- Step 05Optional retainer
Ongoing improvements, new opportunities and priority support as the landscape changes.
The stack
We pick what solves your problem, not what's trending. EU-based hosting and GDPR-minded set-ups are available where needed.
Questions before we start
Do I need a technical background?
Not at all. You explain the business problem; we handle the technical side and translate it into a working system.
How quickly will I see results?
Version 1 is typically delivered within about five business days of onboarding. The refined version is usually ready within about three weeks of kickoff, depending on feedback and access.
Who owns the automation afterwards?
You do, completely. Logins, code and infrastructure are transferred to you at handover, and we remove our access unless you want ongoing support.
What if I'm not sure which process to automate?
That's what the first conversation is for. We'll identify the highest-impact opportunities together. You only need a sense of where time is being lost.
Can you build GDPR-friendly solutions?
Yes. We can advise on EU-based hosting, self-hosted workflows and EU-compliant model options such as Azure OpenAI, matched to your regulatory environment.
Is the first conversation free?
Yes. In about 30 minutes you'll know which parts of your work AI can automate, how we'd build it and a realistic sense of scope and cost, with no obligation.