Infrastructure

AI Automation

We introduce AI where the system must understand, classify, extract, generate or select a step that fixed rules cannot express sufficiently. Model: event -> data -> AI -> validation -> rule -> action.

OpenAI

Make

AI workflowsAI agents for businessbusiness process automation with artificial intelligence

EUR 50 / hour + external AI/API costs

Request an AI automation estimate.

Complementary products

Process Automation CRM Integration API & Systems Integration Data Synchronization & Processing Data Architecture Internal Applications

AI is the interpretation/generation component, not automatically the whole system.

01PRODUCT READER

First screen

02PRODUCT READER

What problem does it solve?

Free text, variable documents, email classification, semantic routing, extraction from unstructured content, repetitive summaries/drafts and workflows with too many exceptions for traditional rules.

03PRODUCT READER

What is AI Automation?

A workflow where the model transforms input -> structured output -> validation -> action and may act as classifier, extractor, summarizer, generator, interpreter, decision-support or orchestration component.

04PRODUCT READER

What you receive

Process analysis, AI-stage selection, input/output definitions, prompt/instruction design, structured output, classification/extraction/summarization/generation, validation/confidence, business rules, human review/fallback, integrations/tools/context, model selection, errors/logging, evaluation/test set, QA and documentation.

05PRODUCT READER

Process, price, FAQ and CTA

Process -> identify non-deterministic stage -> justify AI -> define input/output/context/actions/review/fallback -> choose model -> build/integrate -> validate/evaluate -> failure testing -> QA -> documentation

06PRODUCT READER

What we do not do / promise

No AI only for marketing, unrestricted agents, broad access, sensitive decisions without control, free-form output where structure is needed, automatic external sending, unnecessary sensitive data or critical workflow without fallback. No 100% correctness, zero hallucinations, identical output, full autonomy, zero latency/cost or guaranteed productivity/sales.

07PRODUCT READER

Process, price, FAQ and CTA

EUR 50 / hour + external AI/API costs

08PRODUCT READER

AI only where it creates value

If condition/lookup/mapping/formula/validation/deterministic rule solves the problem, prefer the simpler mechanism.

09PRODUCT READER

Classification

Emails, requests, tickets, feedback, documents, lead descriptions and messages may be classified into controlled taxonomies.

10PRODUCT READER

Extraction

Transform unstructured content into fields such as name/company/value/date/request type and then validate/save/route the output.

11PRODUCT READER

Summarization

Summaries for conversations, email threads, documents, meetings, customer history, research/operations should serve a decision rather than merely shorten text.

12PRODUCT READER

Generation

Draft responses, emails, descriptions, internal notes, reports or documents, with explicit rules for direct use, review, approval or draft-only output.

13PRODUCT READER

Interpretation and intermediate decision

AI may classify/recommend problem type, urgency or route while final business rules remain deterministic.

14PRODUCT READER

AI agents

An agent may use context, rules and tools for a multi-step objective, but autonomy is limited by designed actions and permissions; it is not an unrestricted digital employee.

15PRODUCT READER

Tools and actions

Controlled access to CRM, databases, internal search, email, calendar, document storage, APIs and other systems; explicitly define read/write/send and approval gates.

16PRODUCT READER

Structured output

Prefer controlled output such as category/priority/customer_type/next_action for workflows rather than free-form text where predictability matters.

17PRODUCT READER

Context, retrieval and knowledge

Context from prompts/CRM/docs/databases/records/history; retrieval from authorized sources with rules for missing/conflicting information and no invented knowledge.

18PRODUCT READER

Human in the loop

AI draft -> human approve -> send; AI classification -> review exception; AI recommendation -> manager decide, based on risk/reversibility/error cost.

19PRODUCT READER

Confidence and fallback

Clear output may continue; ambiguous output escalates. Confidence scores are not certainty.

20PRODUCT READER

AI is probabilistic

Design for variation, ambiguity, invalid output and incomplete information; deterministic parts remain rules where exactness is required.

21PRODUCT READER

Hallucination controls

Controlled sources, structured data, retrieval, validation, human review and abstention/escalation for factual tasks.

22PRODUCT READER

Vs Process Automation

Process Automation = if X -> Y; AI Automation is relevant when something between X and Y must be interpreted, classified, extracted, summarized, generated or evaluated.

23PRODUCT READER

Traditional rules + AI

A good workflow may combine deterministic rule -> AI -> deterministic rule, using AI only for the interpretation stage.

24PRODUCT READER

Vs API Integration and Data Synchronization

API Integration builds connectivity; Data Sync manages recurring consistency; AI Automation uses connections/data flows for the intelligent task.

25PRODUCT READER

AI with CRM/documents/communication

AI may classify CRM requests, summarize history, extract from documents or prepare drafts; CRM setup/integration and automatic external sending remain controlled separately.

26PRODUCT READER

Model selection

Choose based on task, quality, latency, volume, cost, structured output, context, tools, privacy and reliability rather than size or novelty.

27PRODUCT READER

Cost, latency and volume

Model/API/storage/retrieval/workflow costs are external; volume, input/output size, concurrency, rate limits and response-time requirements shape architecture.

28PRODUCT READER

Privacy, security and high-impact actions

Minimize sensitive data and limit roles/permissions/tokens/service accounts; external sending, deletion and financial/commercial critical changes require stricter controls.

29PRODUCT READER

Evaluation

Do not validate only by looks good; use representative cases for classification accuracy, extraction quality, format compliance, failures, unsupported answers, escalation and business usefulness.

30PRODUCT READER

Testing, QA and observability

Test normal/incomplete/ambiguous/unexpected input, invalid output, missing context, tool/API failure, repeated request and human review; trace input/stage/result/tool/failure/escalation with proportional logging.

31PRODUCT READER

Documentation and ownership

Document use case, workflow, AI role, provider/model logic, prompts/instructions, inputs/outputs/tools/sources, validation/human review/fallback/evaluation/dependencies/limits. Accounts/data remain business-controlled.

32SEARCH TERRITORY

Support intents

AI workflows

AI agents for business

business process automation with artificial intelligence

AI Automation

Your privacy matters