AI audit for SMEs

AI automation for SMEs: clarity first, implementation second

We help you identify where AI agents, RAG, email drafts or messenger automation make practical sense — with human review and a realistic rollout path.

50 minutes · remote or in Aachen · DE/EN/RU

AI agentsLead & support automationHuman reviewEU/Germany context

AI Audit

50 min

Channels

Guardrails

Human
review

Output

Map of key contact points and response bottlenecks
Prioritised shortlist for AI agents or automation
Data and knowledge-base check, including gaps

01

Many AI ideas sound promising. Fewer fit day-to-day operations.

The audit separates useful automation from experimentation before time, budget or customer data move in the wrong direction.

Requests arrive across too many channels

Website, WhatsApp, Telegram, Instagram and email grow faster than the response process around them.

Knowledge is scattered

FAQ, PDFs, offers and internal notes exist, but they are not yet usable as a reliable knowledge base.

Automation needs control

Not every answer should be sent automatically. We plan approvals, escalations and safe limits from the start.

02

Practical AI automation that can start small

We prioritise scenarios that are easy to validate and keep your team in control.

Lead qualification

The assistant asks 2–3 follow-up questions, captures contact and context, and hands over a clear request summary.

Email drafts

AI prepares responses from your knowledge base. Your team reviews, edits and sends them.

RAG knowledge base

PDFs, FAQ and process knowledge are structured so answers stay traceable.

Messenger & website chat

An AI assistant answers routine questions and escalates sensitive cases to people.

03

How the 50-minute audit works

Not a large transformation programme. First a clear picture, then one safe next step.

01

Understand channels and bottlenecks

We map where customers write, where answers wait and which tasks repeat.

02

Check data and risks

We clarify which content can be used and where privacy, quality or approvals matter.

03

Prioritise 2–3 workflows

You get a short list of realistic automations with effort, value and control points.

04

Decide prototype or roadmap

If it makes sense, we define a small prototype with clear boundaries and measurements.

04

What you have after the audit

Map of key contact points and response bottlenecks

Prioritised shortlist for AI agents or automation

Data and knowledge-base check, including gaps

Recommendation for human review, escalation and safe rollout

05

Technically strong, intentionally controlled

LindenTech combines cloud/DevOps experience, RAG architecture and AI-agent implementation with pragmatic delivery for small teams.

No autopilot without approval

We separate drafts, recommendations and automatic actions. Critical responses stay reviewable.

Works with existing tools

Gmail, website, messengers, PDFs and internal knowledge sources are assessed around your real setup.

Multilingual consulting

German, English and Russian are available from the first conversation; Tajik when the project context needs it.

Let’s find the first AI automation that actually makes sense.

Tell us which inquiries, emails or support cases cost the most time. We will suggest an audit slot.

Request an AI audit

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