AI applications atlas

What AI can do inside a company.

A public map of concrete examples to recognise where artificial intelligence can reduce time, errors, risk or decision delays in company workflows.

AI applications atlas

The Atlas is not a rigid product catalog.

Each card describes an application pattern: what input enters, what output can be produced, what business value it can create and which controls remain human. Artik Lab always starts from a discovery call and designs solutions around the client's context.

Explore by area, need or process.

Explore by area, need or process.

Applications are examples: they help formulate better questions before choosing training, consulting, data analysis or technical software development.

Documents and knowledge Human review: recommended

Extract data from documents and scans

PDFs, images and forms become text, tables and structured fields reusable in company systems.

Operating example: When a process shows a similar need, pdfs and attachments are used to produce structured database and support time reduction, with human review recommended.

Need signals
InputPDFs and attachmentsscans and imagescompleted forms
Outputstructured databaseoperational report
Valuetime reductionfewer errorstraceability
Need signalsscattered documents that are hard to consultmanual copying between emails, spreadsheets and systems

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Documents and knowledge Human review: required

Check consistency across documents

Reports, contracts, specifications and procedures are compared to find discrepancies, divergent versions and inconsistent definitions.

Operating example: When a process shows a similar need, pdfs and attachments are used to produce operational report and support fewer errors, with human review required.

Need signals
InputPDFs and attachmentsinternal documentationcontracts and policiestenders and specifications
Outputoperational reportrisk map
Valuefewer errorsrisk reductiontraceability
Need signalsrecurring errors in documents, procedures or controlsscattered documents that are hard to consult

Risk: medium. Privacy and control: Requires anonymisation, access control and specialist review when personal, legal, HR or regulated data is involved.

Operations Human review: recommended

Turn meetings, emails and tickets into operating memory

Transcripts and threads are cleaned, summarised and converted into traceable decisions, tasks, deadlines and risks.

Operating example: When a process shows a similar need, emails and tickets are used to produce actionable digest and support traceability, with human review recommended.

Need signals
Inputemails and ticketstranscripts and notestickets and requests
Outputactionable digestroadmap and priorities
Valuetraceabilityfaster decisionstransferable knowledge
Need signalsrecurring decisions that are slow or based on incomplete informationcritical knowledge concentrated in a few people

Risk: low. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Documents and knowledge Human review: required

Generate controlled documents from templates

Reports, letters, contracts, FAQs and communications are produced from data and templates, with formal consistency and human review.

Operating example: When a process shows a similar need, structured database are used to produce controlled drafts and support time reduction, with human review required.

Need signals
Inputstructured databaseinternal documentationcontracts and policies
Outputcontrolled draftsFAQs and answers
Valuetime reductionfewer errorsmore governable compliance
Need signalsmanual copying between emails, spreadsheets and systemsrecurring errors in documents, procedures or controls

Risk: medium. Privacy and control: Requires anonymisation, access control and specialist review when personal, legal, HR or regulated data is involved.

Operations Human review: recommended

Map processes and redesign workflows

Real work is reconstructed as-is, read for bottlenecks and transformed into a to-be scenario with priorities and controls.

Operating example: When a process shows a similar need, transcripts and notes are used to produce roadmap and priorities and support clearer priorities, with human review recommended.

Need signals
Inputtranscripts and noteslogs and process statesemails and ticketsspreadsheets
Outputroadmap and prioritiesbusiness case
Valueclearer prioritiesfaster decisionsavoided costs
Need signalsrecurring decisions that are slow or based on incomplete informationmanual copying between emails, spreadsheets and systemsAI already used without shared rules

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Operations Human review: recommended

Triage emails, tickets and requests

Incoming communications are classified by urgency, topic, responsibility and required action, with controlled response drafts.

Operating example: When a process shows a similar need, emails and tickets are used to produce actionable digest and support time reduction, with human review recommended.

Need signals
Inputemails and ticketstickets and requestsinternal documentation
Outputactionable digestcontrolled draftspriority ranking
Valuetime reductionmore consistent serviceclearer priorities
Need signalsmanual copying between emails, spreadsheets and systemsrecurring decisions that are slow or based on incomplete information

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Operations Human review: required

Plan shifts, resources and priorities

Availability, constraints, skills, leave and demand are combined to propose feasible and explainable plans.

Operating example: When a process shows a similar need, spreadsheets are used to produce plan and assignments and support production efficiency, with human review required.

Need signals
InputspreadsheetsERP and business systemsKPIs and time series
Outputplan and assignmentsdashboards and filtered views
Valueproduction efficiencyfaster decisionsavoided costs
Need signalsplanning that is still highly manualhistorical data available but not turned into signals

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Operations Human review: recommended

Forecast demand and workload

Historical orders, revenue, tickets or production become operating forecasts for purchasing, shifts and capacity.

Operating example: When a process shows a similar need, transactions and purchases are used to produce verifiable forecast and support faster decisions, with human review recommended.

Need signals
Inputtransactions and purchasesKPIs and time seriesproduction data
Outputverifiable forecastdashboards and filtered views
Valuefaster decisionsavoided costsproduction efficiency
Need signalshistorical data available but not turned into signalsplanning that is still highly manual

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Operations Human review: required

Keep requirements, decisions and stakeholders alive

Project meetings and documents feed an evolving dossier with requirements, latent conflicts, decisions and issues.

Operating example: When a process shows a similar need, transcripts and notes are used to produce roadmap and priorities and support traceability, with human review required.

Need signals
Inputtranscripts and notesrequirements and specificationsinternal documentation
Outputroadmap and prioritiesrisk map
Valuetraceabilityfewer errorstransferable knowledge
Need signalsrecurring decisions that are slow or based on incomplete informationcritical knowledge concentrated in a few people

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Customer, marketing and sales Human review: recommended

Read customer feedback, reviews and tickets

Unstructured texts are aggregated by theme, sentiment, recurring needs and priority actions.

Operating example: When a process shows a similar need, text feedback are used to produce operational report and support more consistent service, with human review recommended.

Need signals
Inputtext feedbacktickets and requestspublic sources
Outputoperational reportpriority ranking
Valuemore consistent servicerecovered commercial valueclearer priorities
Need signalsabundant feedback that is not analysedrecurring decisions that are slow or based on incomplete information

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Customer, marketing and sales Human review: recommended

Discover market and target needs

Public sources and provided material are synthesised into maps of pain points, language, segments, partners and opportunities.

Operating example: When a process shows a similar need, public sources are used to produce operational report and support recovered commercial value, with human review recommended.

Need signals
Inputpublic sourcestext feedbackinternal documentation
Outputoperational reportbusiness case
Valuerecovered commercial valueclearer prioritiesfaster decisions
Need signalsabundant feedback that is not analysedrecurring decisions that are slow or based on incomplete information

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Customer, marketing and sales Human review: required

Codify brand voice and content

Interviews, approved examples and commercial material become operating guidelines and coherent multi-channel drafts.

Operating example: When a process shows a similar need, internal documentation are used to produce policies and guardrails and support time reduction, with human review required.

Need signals
Inputinternal documentationtext feedbackpublic sources
Outputpolicies and guardrailscontrolled drafts
Valuetime reductionrecovered commercial valuetraceability
Need signalsrecurring errors in documents, procedures or controlsmanual copying between emails, spreadsheets and systems

Risk: low. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Customer, marketing and sales Human review: required

Support sales, pricing and recommendations

Purchase history, catalogs and competitive information help build pitches, bundles, commercial priorities and price scenarios.

Operating example: When a process shows a similar need, transactions and purchases are used to produce operational recommendations and support recovered commercial value, with human review required.

Need signals
Inputtransactions and purchasesinternal documentationpublic sources
Outputoperational recommendationsbusiness case
Valuerecovered commercial valuefaster decisionsclearer priorities
Need signalshistorical data available but not turned into signalsrecurring decisions that are slow or based on incomplete information

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

People and HR Human review: required

Map skills and capability needs

Skills, roles, future goals and trends are connected to define development, upskilling and reskilling priorities.

Operating example: When a process shows a similar need, aggregated hr data are used to produce roadmap and priorities and support transferable knowledge, with human review required.

Need signals
Inputaggregated HR datainternal documentationpublic sources
Outputroadmap and prioritiesoperational report
Valuetransferable knowledgeclearer prioritiesfaster training
Need signalscritical knowledge concentrated in a few peopleAI already used without shared rules

Risk: medium. Privacy and control: Requires anonymisation, access control and specialist review when personal, legal, HR or regulated data is involved.

People and HR Human review: required

Support recruiting and onboarding

Job descriptions, applications and onboarding material are structured to prepare evaluations, communications and initial paths.

Operating example: When a process shows a similar need, cvs and applications are used to produce operational report and support time reduction, with human review required.

Need signals
InputCVs and applicationsaggregated HR datamanuals and training material
Outputoperational reportcontrolled drafts
Valuetime reductionfewer errorsfaster training
Need signalsmanual copying between emails, spreadsheets and systemscritical knowledge concentrated in a few people

Risk: high. Privacy and control: Requires anonymisation, access control and specialist review when personal, legal, HR or regulated data is involved.

People and HR Human review: required

Simplify recurring HR policies and requests

Policies, benefits, procedures and recurring requests become FAQs, drafts and guided paths under HR control.

Operating example: When a process shows a similar need, aggregated hr data are used to produce faqs and answers and support more consistent service, with human review required.

Need signals
Inputaggregated HR datainternal documentationcontracts and policies
OutputFAQs and answerscontrolled drafts
Valuemore consistent servicetime reductionmore governable compliance
Need signalsmanual copying between emails, spreadsheets and systemsscattered documents that are hard to consult

Risk: high. Privacy and control: Requires anonymisation, access control and specialist review when personal, legal, HR or regulated data is involved.

Technical and software Human review: required

Define requirements, MVP and acceptance criteria

A technical need becomes requirements, user stories, non-functional constraints, estimates and first-release boundaries.

Operating example: When a process shows a similar need, requirements and specifications are used to produce roadmap and priorities and support fewer errors, with human review required.

Need signals
Inputrequirements and specificationstranscripts and notesinternal documentation
Outputroadmap and prioritiestests and checklists
Valuefewer errorstraceabilityavoided costs
Need signalsrecurring decisions that are slow or based on incomplete informationrecurring errors in documents, procedures or controls

Risk: medium. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Technical and software Human review: required

Accelerate development, refactoring and tests

Existing code and specifications guide controlled code generation, unit tests, refactoring and quality audits.

Operating example: When a process shows a similar need, code and repositories are used to produce tests and checklists and support time reduction, with human review required.

Need signals
Inputcode and repositoriesrequirements and specifications
Outputtests and checklistsoperational report
Valuetime reductionfewer errorstraceability
Need signalsrecurring errors in documents, procedures or controlsmanual copying between emails, spreadsheets and systems

Risk: high. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Technical and software Human review: required

Read specifications and produce technical documentation

Tenders, specifications, reports and technical sheets are analysed for critical requirements, risks and documentation drafts.

Operating example: When a process shows a similar need, tenders and specifications are used to produce operational report and support risk reduction, with human review required.

Need signals
Inputtenders and specificationsinternal documentationtechnical drawings
Outputoperational reportcontrolled draftsrisk map
Valuerisk reductionfewer errorstraceability
Need signalsscattered documents that are hard to consultrecurring errors in documents, procedures or controls

Risk: high. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Technical and software Human review: required

Interpret images, drawings and technical material

Photos, drawings and renders become descriptive sheets, component analyses, dimensions and verifiable technical narratives.

Operating example: When a process shows a similar need, operational photos are used to produce operational report and support transferable knowledge, with human review required.

Need signals
Inputoperational photostechnical drawingsinternal documentation
Outputoperational reportcontrolled drafts
Valuetransferable knowledgefaster decisionsfewer errors
Need signalscritical knowledge concentrated in a few peoplescattered documents that are hard to consult

Risk: medium. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Governance, compliance and risk Human review: required

Build AI governance, policies and risk matrix

Activities, data and decisions are classified into autonomy, supervision or exclusion zones with clear operating rules.

Operating example: When a process shows a similar need, internal documentation are used to produce policies and guardrails and support risk reduction, with human review required.

Need signals
Inputinternal documentationpolicies and guidelinestranscripts and notes
Outputpolicies and guardrailsrisk maproadmap and priorities
Valuerisk reductionmore governable complianceclearer priorities
Need signalsAI already used without shared rulesrecurring decisions that are slow or based on incomplete information

Risk: high. Privacy and control: Requires anonymisation, access control and specialist review when personal, legal, HR or regulated data is involved.

Governance, compliance and risk Human review: required

Test AI assistants against misuse

Chatbots and assistants are stressed with manipulation, data leakage and conflicting instruction scenarios, then hardened with guardrails.

Operating example: When a process shows a similar need, internal documentation are used to produce tests and checklists and support risk reduction, with human review required.

Need signals
Inputinternal documentationrequirements and specificationspolicies and guidelines
Outputtests and checklistspolicies and guardrailsoperational report
Valuerisk reductionmore governable compliancemore consistent service
Need signalsAI already used without shared rulesrecurring errors in documents, procedures or controls

Risk: high. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Production, quality and maintenance Human review: required

Analyse HSE anomalies from operational images

Site or department photos are read to identify non-compliance, risks and preventive measures to verify.

Operating example: When a process shows a similar need, operational photos are used to produce operational report and support risk reduction, with human review required.

Need signals
Inputoperational photosinternal documentation
Outputoperational reportrisk map
Valuerisk reductionfaster decisionsmore governable compliance
Need signalsrecurring errors in documents, procedures or controlsmanual copying between emails, spreadsheets and systems

Risk: high. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Production, quality and maintenance Human review: required

Optimise production, orders and quality

Customer schedules, ERP, cycles, non-conformities and historical costs support priorities, quotes and corrective actions.

Operating example: When a process shows a similar need, erp and business systems are used to produce plan and assignments and support production efficiency, with human review required.

Need signals
InputERP and business systemsproduction dataspreadsheets
Outputplan and assignmentsoperational reportoperational recommendations
Valueproduction efficiencyfewer errorsavoided costs
Need signalsplanning that is still highly manualrecurring errors in documents, procedures or controls

Risk: medium. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Production, quality and maintenance Human review: required

Manage maintenance, assets and spare parts

Failure history, sensors and interventions become control priorities, maintenance windows and operating alerts.

Operating example: When a process shows a similar need, sensors and telemetry are used to produce alerts and thresholds and support production efficiency, with human review required.

Need signals
Inputsensors and telemetryproduction datalogs and process states
Outputalerts and thresholdspriority rankingdashboards and filtered views
Valueproduction efficiencyavoided costsrisk reduction
Need signalshistorical data available but not turned into signalsplanning that is still highly manual

Risk: medium. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Training and internal memory Human review: recommended

Create training, quizzes and slides from internal material

Manuals, slides and scattered documents become syllabi, quizzes, case studies and role-based learning material.

Operating example: When a process shows a similar need, manuals and training material are used to produce faqs and answers and support faster training, with human review recommended.

Need signals
Inputmanuals and training materialinternal documentationtranscripts and notes
OutputFAQs and answerscontrolled drafts
Valuefaster trainingtransferable knowledgemore consistent service
Need signalscritical knowledge concentrated in a few peoplescattered documents that are hard to consult

Risk: low. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Training and internal memory Human review: required

Build assistants for company memory

Internal documentation feeds Q&A assistants, including voice interfaces, that answer with sources and clear usage boundaries.

Operating example: When a process shows a similar need, internal documentation are used to produce semantic search and support transferable knowledge, with human review required.

Need signals
Inputinternal documentationmanuals and training materialpolicies and guidelines
Outputsemantic searchFAQs and answerspolicies and guardrails
Valuetransferable knowledgemore consistent servicetime reduction
Need signalscritical knowledge concentrated in a few peoplescattered documents that are hard to consult

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Cross-functional tools Human review: recommended

Produce executive reports and visual assets

Data, KPIs and heterogeneous material become narrative reports, infographics, presentations and coherent visual content.

Operating example: When a process shows a similar need, kpis and time series are used to produce operational report and support faster decisions, with human review recommended.

Need signals
InputKPIs and time seriesspreadsheetsinternal documentation
Outputoperational reportdashboards and filtered viewscontrolled drafts
Valuefaster decisionstraceabilityrecovered commercial value
Need signalshistorical data available but not turned into signalsmanual copying between emails, spreadsheets and systems

Risk: low. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Data science and decisions Human review: required

Detect anomalies and degradation in machinery

Time series and industrial sensors are used for alerts, degradation analysis and predictive maintenance with verifiable thresholds.

Operating example: When a process shows a similar need, sensors and telemetry are used to produce alerts and thresholds and support production efficiency, with human review required.

Need signals
Inputsensors and telemetryproduction dataKPIs and time series
Outputalerts and thresholdsverifiable forecastdashboards and filtered views
Valueproduction efficiencyavoided costsrisk reduction
Need signalshistorical data available but not turned into signalsplanning that is still highly manual

Risk: medium. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Data science and decisions Human review: required

Segment customers, churn and cross-selling

Transactional and behavioural histories become segments, risk rankings, bundles and differentiated commercial actions.

Operating example: When a process shows a similar need, transactions and purchases are used to produce priority ranking and support recovered commercial value, with human review required.

Need signals
Inputtransactions and purchasestext feedbackKPIs and time series
Outputpriority rankingoperational recommendationsbusiness case
Valuerecovered commercial valueclearer prioritiesmore consistent service
Need signalshistorical data available but not turned into signalsabundant feedback that is not analysed

Risk: medium. Privacy and control: Requires anonymisation, access control and specialist review when personal, legal, HR or regulated data is involved.

Data science and decisions Human review: required

Optimise energy, quality and line performance

Telemetry, consumption, quality and machine parameters reveal efficient profiles, waste and operating recommendations.

Operating example: When a process shows a similar need, sensors and telemetry are used to produce dashboards and filtered views and support production efficiency, with human review required.

Need signals
Inputsensors and telemetryproduction dataKPIs and time series
Outputdashboards and filtered viewsoperational recommendationsbusiness case
Valueproduction efficiencyavoided costsfaster decisions
Need signalshistorical data available but not turned into signalsrecurring errors in documents, procedures or controls

Risk: medium. Privacy and control: Treat code, specifications, industrial data and operational images as intellectual property; publish only anonymised examples.

Data science and decisions Human review: recommended

Analyse territories, profitability and trends

Aggregated fiscal, territorial or commercial data become maps, clusters, profitability drivers and decision roadmaps.

Operating example: When a process shows a similar need, transactions and purchases are used to produce dashboards and filtered views and support faster decisions, with human review recommended.

Need signals
Inputtransactions and purchasespublic sourcesKPIs and time series
Outputdashboards and filtered viewsoperational reportbusiness case
Valuefaster decisionsclearer prioritiesrecovered commercial value
Need signalshistorical data available but not turned into signalsrecurring decisions that are slow or based on incomplete information

Risk: medium. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Data science and decisions Human review: recommended

Know when not to build a model

The first value can be a negative verdict: available data does not yet contain the useful signal and collection must improve.

Operating example: When a process shows a similar need, kpis and time series are used to produce operational report and support avoided costs, with human review recommended.

Need signals
InputKPIs and time seriestransactions and purchaseslogs and process states
Outputoperational reportbusiness caseroadmap and priorities
Valueavoided costsclearer prioritiestraceability
Need signalshistorical data available but not turned into signalsrecurring decisions that are slow or based on incomplete information

Risk: low. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Cross-functional tools Human review: recommended

Use AI as a discovery lab

Cases, material and constraints are explored to generate hypotheses, scenarios, concepts, role simulations and opportunities to verify.

Operating example: When a process shows a similar need, internal documentation are used to produce operational report and support recovered commercial value, with human review recommended.

Need signals
Inputinternal documentationtext feedbackpublic sources
Outputoperational reportoperational recommendationscontrolled drafts
Valuerecovered commercial valueclearer prioritiesfaster decisions
Need signalsrecurring decisions that are slow or based on incomplete informationabundant feedback that is not analysed

Risk: low. Privacy and control: Use authorised data, minimise personal information and keep human review on relevant outputs.

Find a similar pattern

From map to real process: start with a call.

This page helps orientation. The solution is designed only after reviewing sector, constraints, available data, responsibilities and the decision to improve.

  1. 1
    Initial context

    Before the meeting Artik Lab prepares a first reading of public context and any material shared by the company.

  2. 2
    Structured conversation

    During the call two or three high-potential workflows are identified, together with constraints, risks and urgencies.

  3. 3
    Targeted proposal

    The output is a calibrated path: training, consulting, data analysis or technical prototype, with expected results and control criteria.

FAQ

FAQ

Is the Atlas a catalog of ready-made products?

No. It is a map of concrete examples. Artik Lab starts from a discovery call and designs the path around the client's real process.

Are all applications automations?

No. Some are training, some analysis, some technical software or governance. AI can assist, suggest, find signals or draft, while sensitive decisions remain governed.

How are recognisable cases avoided?

Cards aggregate patterns and sectors, removing names, clients, natural persons, proprietary data and details that could identify a project.

Contact

A short conversation is enough to understand where to start.

The first 30-45 minute call clarifies the process, goal, available data, constraints and next useful step: training, consulting, data analysis or a controlled technical prototype.

Write to dtr@ar-tik.com