Sales correspondence and offers
AI drafts offers and sales letters from CRM data. Sales rep reviews and releases.
Effekt: Faster offer turnaround, more touches per week.
GDPR-compliant Azure OpenAI architecture, works-council-ready rollout, measurable KPIs. We consult and build — no PowerPoint theater.
Without an official option, staff use private ChatGPT accounts. Customer data, internal info, sometimes financials end up in US training pipelines.
AI rollouts touch employee data, performance and workflows. Works councils want a clear architecture, no monitoring, opt-in for affected staff.
Without measurable KPIs, AI rollouts get cancelled at the next budget round. We define 2–3 numbers up front and report monthly.
AI drafts offers and sales letters from CRM data. Sales rep reviews and releases.
Effekt: Faster offer turnaround, more touches per week.
AI structures supplier emails, drafts replies, flags exceptions. Audit log per send.
Effekt: 2–4 hours per buyer per week saved.
Searchable AI assistant on internal wiki, SOPs, training material. No external data exposure.
Effekt: New staff productive in days, not weeks.
AI structures incoming applications, extracts skills, flags must-have/nice-to-have matches. Final decision stays with humans.
Effekt: First-pass screening time cut by 60%.
Workshop
Half day. Use-case prioritization, works-council prep, KPI definition.
Pilot
4–6 weeks on one use case, with measurable KPIs and works-council module.
Roll-out
Multi-department, multi-use-case rollout with continuous training.
Direkte Belege, dass Compliance-Software bei uns produktiv läuft – nicht nur in PowerPoint.
„Thanks to LiteLog we could prove we were at the right place at the right time, and that we did our job. Without that proof, we'd have paid 30,000 € in damages."
„The whole tool is well laid out and easy to use. Questions get answered quickly and without fuss. I can fully recommend it."
From around 20 people onward, almost always, because training, tool licenses and setup get spread across enough heads. Below 20 we often recommend starting with off-the-shelf GDPR-compliant tools (Microsoft 365 Copilot, self-managed Azure OpenAI) and skipping consulting.
In practice: sales correspondence and offers, purchasing and supplier comms, HR application screening, knowledge management (internal wiki search). Production and logistics rarely — those workflows are too specific and usually need custom software, not generative AI.
With clear purpose limitation (no AI-based employee monitoring), traceable architecture (what data goes where?), opt-in for affected employees, and a trial period with review. We provide ready-made works-agreement modules as a discussion basis.
Three line items: one-off consulting & architecture, ongoing licenses (Azure OpenAI, possibly tools — depending on usage per employee per month), and training per workshop day. We deliver a concrete projection for your case in the intro call.
Usually 6–12 weeks after consulting starts. We define 2–3 measurable KPIs with you up front (handling time, first-response time, employee adoption rate) and report monthly.