Tanduva / AI in practice
What exactly
can AI do
for your business?
Guides for people who want working solutions, with specific workflows, sources and questions worth asking before implementation.
How we write articles and use sources ↗AI email automation: from message to result
Automate business email: classification, replies, CRM, attachments and exceptions. A practical workflow with risks and measurement of actual time savings.
AI invoice processing: from PDF to verified data
Automate invoice intake, extraction and validation. OCR, AI, duplicates, line items and accounting integrations with checks at each step.
Customer support automation that resolves requests
Automate customer support from classification to resolution. Choose suitable cases, manage human handovers, measure quality and design a pilot.
AI website chatbots: what they need to be useful
Deploy an AI website chatbot: source material, JavaScript embedding, contact capture, answer quality and business integrations. A practical guide.
AI customer support agents: from answers to action
What an AI support agent needs to change orders and resolve requests: permissions, integrations, testing and a suitable level of autonomy.
AI ecommerce agents: products, orders and actions
Build an AI ecommerce agent using your real catalogue and orders. Variants, stock, Shoptet, Shopify and validated service actions.
AI sales agents: prepared meetings and next steps
How AI helps sales teams prepare meetings, proposals and CRM updates. What to measure, how to follow up and the limits of reliable automation.
AI customer acquisition agents: what to measure
Use AI to acquire customers without chasing message volume. Qualification, content, sales signals, CRM and measurement of business value.
Lead automation: every enquiry has a next step
Connect lead intake, qualification, CRM and follow-up. Handle duplicates, stop sequences, assign ownership and measure quality.
CRM automation: less retyping, reliable data
Automate CRM with AI without duplicates or overwriting correct information. Data sources, sales stages, integrations and a practical pilot.
Automated enquiry processing: from receipt to proposal
How AI processes an enquiry, collects missing details and prepares a proposal. Connecting your CRM, price list and sales process.
AI email classification: priorities that make sense
Classify email with AI by intent, priority and responsibility. Design categories, measure mistakes and keep important messages visible.
AI assistants for employees: information and next steps
Bring an AI assistant into employees’ everyday work. Internal knowledge, permissions, onboarding, tasks and validation of value.
Business AI knowledge bases: answers with sources
Prepare company knowledge for AI: RAG, freshness, access control, conflicting documents and measurement of correct answers.
AI for accounting: less routine, traceable results
Where AI helps accounting: documents, matching, closing and reporting. Separate rules from models, define checks and design a measurable pilot.
AI for estate agencies: from interest to viewing
Use AI in estate agencies for documents, communication and viewings. Accurate listings, calendars, CRM and property portal integrations.
AI for ecommerce: which automations make sense
Prioritise AI ecommerce projects by value: product data, support, content, orders and new AI channels. A practical plan.
AI for manufacturing: where to start and prove value
Practical AI in manufacturing: documentation, shift reports, enquiries and data. Pilot selection, input quality and limits of machine control.
Let’s find a useful starting point
What would you like
to simplify in your business?
Describe one task and the tools you use. A few sentences are enough to start the conversation.
Project calls are in English. We can translate written materials.
What happens next?
- We review your request and fill in the missing context.
- We agree a suitable first step, its scope and how to validate it.
- You receive a proposal and quote before development starts.
Tanduva is operated by vinireto s.r.o. · Company ID 23101717