03 · AI Engineering
Ask a question — and see how Claude, GPT and a local model answer in parallel. This same choice is what we build into your systems.
claude-haiku-4-5
A CRM bundles customers, leads and service tickets in one place instead of scattering them across emails and spreadsheets. That saves time, prevents duplicate work, and makes revenue, pipeline and service quality measurable.
gpt-4o-mini
With a CRM your sales and service teams always have the full customer context — sales opportunities slip less often, and you can see, with data, where to invest next.
llama-3.1-8b · Groq
A CRM holds all customer contacts, orders and open items in one place. Every department can see what is going on, instead of gathering info from ten spreadsheets.
What we do with AI
AI integration
Copilots in Dynamics, AI assistants in your software, automated classification, summarization, extraction. Right in the workflow, not in a separate chat window.
AI interfaces
Cloud LLMs, local models, mixed setups. A provider-agnostic layer that keeps switching open — and the data you want to keep, local.
Four concrete use cases
Contracts, reports, specifications — evaluated structurally.
Structuring notes, classifying email, summarizing cases.
AI in our build process — faster, more precise, documented.
RAG over internal documents — precise answers, with sources.
Data sovereignty
Local LLMs on your hardware or in your EU cloud. GDPR-clean, low latency, no dependency on US providers. You keep your data — and our consulting tells you which models really fit which use case.
// Provider-agnostic
const ai = new SoHo.AI({
primary: 'claude-haiku',
fallback: 'gpt-4o-mini',
sensitive: 'local-llama',
});
// Switch providers
// without changing code.30 minutes. Honest assessment of whether and where AI really makes sense for you.