AI Automations for Business

01

Why companies are adopting AI now

In 2026 artificial intelligence is no longer a luxury reserved for large corporations: it is a competitive tool within reach of small and mid-sized businesses. Companies that automate repetitive processes today — email handling, customer support, data analysis — free up people for high-value work, cut operating costs and answer customers faster.

The risk is not adopting AI: it is waiting while competitors do. DAB helps companies choose the AI solutions that fit their real needs, without waste and without technology for its own sake.

02

Our AI automation services

AI chatbots and virtual assistants

We build chatbots based on Large Language Models (GPT-4o, Claude, Gemini) trained on your company content. The chatbot answers customers 24/7, handles FAQs, books appointments and hands complex requests over to your team.

Integration on the website, WhatsApp Business, Messenger, Teams
Training on documentation, product catalogue, company policies
Automatic handoff to human operators for critical cases
Dashboard to monitor conversations and improve the answers

Typical result: a 35–50% reduction in requests handled manually.

Business process automation (RPA + AI)

We combine Robotic Process Automation and AI to remove repetitive tasks: email classification, data extraction from PDFs, CRM updates, weekly report generation.

Process analysis and identification of bottlenecks
Workflow automation with n8n, Make, Zapier AI
Intelligent extraction from invoices, contracts and forms (OCR + NLP)
Integration with ERP, CRM and accounting systems

Typical result: 10–20 hours a week saved on administrative work.

Predictive analytics and AI business intelligence

We turn raw data into decisions you can act on. Intelligent dashboards that forecast demand, identify customers at risk of churn and suggest the most effective actions to grow revenue.

Predictive models for sales, stock and seasonal demand
Customer segmentation with machine learning (RFM, clustering)
Real-time dashboards on Looker Studio, Power BI or custom-built
Automatic alerts on anomalies and business opportunities

AI for e-commerce: recommendations and dynamic pricing

For online stores, AI raises average order value and reduces cart abandonment. We implement personalised recommendation engines and dynamic pricing driven by demand, competition and stock.

Personalised product recommendations (upsell, cross-sell)
Dynamic pricing based on demand, seasonality and competitors
Abandoned cart recovery with AI-personalised messages
Automated A/B testing on product page copy and layout

AI-assisted content generation

We speed up the production of quality content: product descriptions, blog articles, social posts, marketing emails. AI works as a co-pilot — the content is reviewed by your team before publication.

SEO-optimised product descriptions at scale (500+ SKUs)
Blog article drafts with human fact-checking
Marketing emails personalised by customer segment
AI translation and localisation plus native-speaker review

03

Our approach: pragmatic and measurable

We do not sell AI for the sake of the technology. Every project starts from a simple question: which concrete problem are we solving, and what is the expected return?

Free discovery (1–2 hours): we review processes, available data and business objectives.
Rapid prototype (1–2 weeks): we build a testable MVP before investing in full implementation.
Implementation and integration: we develop the final solution and connect it to your existing systems.
Monitoring and continuous tuning: we measure the results and improve the models over time.

04

Practical examples by sector

Manufacturing and industry: chatbots for B2B order handling and automated generation of customised quotations.
Hospitality and tourism: multilingual chatbots for bookings and FAQs, automated replies to Google reviews.
Fashion and craft e-commerce: product recommendations and abandoned cart recovery with personalised messages.
Professional firms and SMEs: automated email classification, data extraction from invoices, report generation.
Retail: predictive sales analysis to optimise ordering and reduce waste.

05

Frequently asked questions about AI for business

How much does it cost to bring AI into my company?

It depends on how many processes you want to automate, which systems you already run and the volume of data involved. That is why we always start with a free consultation: we look at your case and hand you a written quote with itemised tasks and timings, with no obligation. Write or call us to arrange it.

Do you need to be a large company to use AI?

No. AI is now accessible to small and mid-sized businesses and to independent professionals. We propose solutions that scale: even a simple chatbot on the website can cut the customer service workload by 30–40% in the first month.

How does AI integrate with the systems I already use?

Our solutions integrate through APIs with the main CRMs (Salesforce, HubSpot), ERP systems, e-commerce platforms (WooCommerce, Shopify) and communication tools (Slack, Teams, WhatsApp Business). We assess the best integration case by case.

Is company data safe with AI?

Yes. We implement AI solutions in line with the GDPR: your data is not shared with third parties for model training. We can work with on-premise models or European cloud providers depending on your compliance requirements.

How long does it take to implement an AI chatbot?

A basic AI chatbot (FAQs, simple customer support) is online in 2–3 weeks. More elaborate solutions with CRM integration and training on company data take 4–8 weeks.

Start with a free AI consultation

Let’s talk about your processes, your challenges and where artificial intelligence can make a difference to your business. No obligation, no sales pressure.

Request a free consultation Call: +44 7469 188 144