AI Solutions That Do Real Work

AI solutions: voice agents, custom AI apps, and chatbots for business

AI voice agents, custom AI apps, chatbots, and autonomous agents: we design, build, and run AI that cuts cost and handles real work, not demos.

AI That Does Real Work

AI Voice Agents

Human-like voice agents that answer your phone 24/7 - handling reception, inbound support, lead qualification, and appointment booking. They speak naturally, follow your scripts and business rules, integrate with your calendar and CRM, and hand off to a person with full context when a call needs it. Capture every lead and close after-hours gaps without adding headcount.

Custom AI Apps & Agents

We design and build bespoke AI applications and autonomous agents around your workflows, connected to your CRM, ERP, email, and databases. Agents complete multi-step tasks - researching, drafting, updating records, and triggering actions - so your team offloads repetitive work. Built on leading models (OpenAI GPT, Anthropic Claude, Google Gemini, or open-source) and deployed securely with your data kept private.

AI Chatbots & Knowledge Assistants

Website and internal chat assistants grounded in your own content - product docs, policies, FAQs, and knowledge base - using retrieval-augmented generation (RAG) so answers stay accurate and on-brand. They resolve customer and employee questions instantly, in multiple languages, and escalate to a person with full conversation context when needed.

AI Automation & Integration

We embed AI into the tools you already use to automate document processing, data entry, routing, and reporting end to end. AI extracts data from invoices, contracts, and forms; classifies and routes incoming requests; summarizes long documents; and connects via API to your existing systems. Includes Microsoft Copilot rollout and governance for teams already on Microsoft 365.

AI Services We Deliver

How Businesses Use AI Today

AI Voice Reception & Booking

A multi-location dental group was missing nearly a third of inbound calls during busy hours and after closing - every missed call a lost patient. We deployed an AI voice agent that answers every call instantly, understands the caller, checks live availability, books and reschedules appointments directly in their practice software, and answers routine questions about hours, location, and insurance. Complex calls are transferred to staff with a full summary of the conversation.

Result: Zero missed calls, 30% more appointments booked after hours

Custom AI Agent for Operations

A logistics company drowned in repetitive back-office work - reading supplier emails, updating order statuses across systems, and chasing missing paperwork. We built a custom AI agent connected to their email, ERP, and shared drives. It reads incoming messages, extracts order and shipment details, updates the right records, flags exceptions for a human, and drafts replies. The team now reviews and approves instead of typing everything by hand.

Result: 60% less manual back-office work, faster order turnaround

AI Customer Support Chatbot

An e-commerce company with a 4-person support team was drowning in repetitive questions about order status, returns, and product specs. We built a RAG chatbot deployed on their website and help center, grounded in their knowledge base, FAQ documents, and product catalog. The bot answers 70% of customer questions instantly with accurate, contextual answers in multiple languages - and seamlessly escalates complex cases to human agents with full conversation context.

Result: 70% of support queries resolved by AI, 22% higher satisfaction

Automated Invoice Processing

A wholesale distribution company was manually entering data from 300+ supplier invoices per month - a process that consumed one full-time employee for 3 days every week. We deployed AI document intelligence to automatically extract vendor names, line items, totals, tax amounts, and payment terms from PDF invoices. An automated flow validates the extracted data against their vendor database and pushes approved entries directly into their accounting system for payment.

Result: 85% reduction in manual data entry, near-zero errors

Knowledge Assistant for Staff

A law firm with over 50,000 documents across file shares and email archives was spending hours manually searching for relevant case precedents and contract clauses. We built a private knowledge assistant with semantic search across all their document libraries and natural-language queries that understand legal terminology. Lawyers now find relevant case files, contract templates, and precedent memos in seconds by simply describing what they need - with citations back to the source document. Sensitive data stays protected under our governance and compliance controls.

Result: Document search time reduced by 90%, instant precedent lookup

Copilot for Productivity

A management consulting firm with 30 employees wanted an organization-wide productivity lift. We rolled out Microsoft 365 Copilot for every user, ran hands-on training workshops tailored to each department, and configured data governance policies controlling what Copilot can access. Consultants now draft client emails in Outlook, analyze data in Excel with plain language, generate report summaries in Word, and get meeting recaps with action items in Teams.

Result: 5 hours saved per employee per week, 40% faster proposals

Typical AI Outcomes

Illustrative scenarios based on typical engagements, not quotations from named clients.

The AI voice agent answers every single call now, day or night. It books appointments straight into our calendar and only puts callers through to us when it actually needs to. We used to lose patients every time the phone went unanswered - that just does not happen anymore.

Practice Manager, Multi-Location Clinic

The invoice automation alone eliminated the need for a full-time data entry hire. We now process over 500 supplier invoices monthly with near-zero errors - the AI extracts every field accurately, and our accountants just approve. What took 3 days of tedious work now runs automatically in the background.

CFO, Accounting Practice (18 users)

Our support chatbot handles the majority of routine customer and employee questions - order status, returns, policies, onboarding. My team can finally focus on the complex cases instead of answering the same question 20 times a day. Satisfaction scores have actually gone up since we launched it.

Operations Director, E-Commerce (120 staff)

They did not just sell us a tool - they built an AI agent around how we actually work, connected to our existing systems, and kept our data private. It quietly takes the repetitive work off our team every day. The ROI was obvious within the first quarter.

Managing Director, Logistics Company (50 staff)

Why Work with Us for AI?

AI is easy to buy and hard to deploy well. Many companies pay for AI tools only to see low adoption, weak governance, and no measurable return. We are model-agnostic - we pick the right model (OpenAI, Anthropic Claude, Google Gemini, or open-source) for the job and tie every build to a specific outcome: capturing more leads, cutting manual work, or speeding up a process - keeping it GDPR-compliant and your data private from day one. AI works best on a secure foundation, so we pair it with cloud security and governance.

To see how the latest models change everyday work, read our breakdown of GPT-5.2 in Microsoft 365 Copilot. If you are still choosing a productivity platform before rolling out AI, our guide to Microsoft 365 vs Google Workspace compares both on security, cost, and admin control.

For a working example of an autonomous agent rather than a chat window, see our Blog Agent: it picks the topic, writes the article in English and German, wires up the SEO metadata and deploys it, with one human approval step in the middle. It is the same pattern we build for customers - a narrow task, done end to end, with a checkpoint where the judgement call belongs.

If you have a process in mind that feels automatable, describe it to us and we will tell you honestly whether AI is the right tool for it.

AI Solutions: Frequently Asked Questions

Data privacy, model choice and where to start.

Is our company data safe when we introduce AI?

Yes — every deployment is designed with your data kept private. Assistants are grounded in your own content through retrieval-augmented generation rather than trained on it, integrations touch only the systems they need, and where requirements demand it we build on models that can run under your control.

Which AI models do you build on?

The leading ones — OpenAI GPT, Anthropic Claude, Google Gemini — and open-source models where privacy or cost favors them. The model is chosen per use case, not by loyalty: a voice agent, a knowledge assistant and a back-office automation each have different requirements for latency, accuracy and data handling.

What does an AI project cost and where should we start?

Projects are quoted on scope after a free consultation. The pattern that works: start with one concrete workflow — a phone line that misses calls, a mailbox that eats hours, a report someone assembles by hand — prove the value, then expand. If AI is the wrong tool for the job, we say so before you spend anything.