AI Solutions & Business Automation

Most businesses do not need a research project. They need a few specific jobs done faster: answering the same customer questions, reading incoming documents, drafting routine messages, sorting requests. The challenge is choosing the right model and approach, connecting it to real data and making sure it behaves well when it is used every day.

We work in stages. First, a short discovery to find the tasks that cost the most time and have clear success measures. Then a proof of concept, often in a few weeks, using real examples from your business so you can judge quality yourself. If it works, we move to a pilot with a small group of users, and then to production with monitoring, access controls and documentation. At each stage we measure results against the baseline, so the decision to continue rests on evidence.

The technical approach depends on the task. For answers drawn from your documents we build retrieval-augmented systems that search your content and cite it. For documents such as invoices and forms we combine text extraction with language models and validation rules. For automation we use workflow tools such as n8n and custom code to connect AI steps with your CRM, email, messaging and databases. We use models from OpenAI, Anthropic, Google, Alibaba (Qwen) and DeepSeek, selecting by quality, cost, speed and data requirements, and self-hosted options when privacy demands it.

Responsible use is part of the build. We keep a human in the loop for decisions that matter, restrict what data each task can access, log what the system does and set cost limits. We will also tell you when a task is better solved with a rule, a template or a simple script, because that is often cheaper and more reliable.