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Lukas Günther Teissl
Lukas Günther Teissl at the Lukas-Teissl Consulting office
IT Consulting & Business OptimisationAnalysis · AI · Automation · Delivery

Less friction. Clearer processes. Technology that genuinely moves your business forward.

I analyse how your business actually works today – from processes and data to sales, communication and recurring tasks. The result is a prioritised roadmap. Where useful, I can implement the technical solutions directly.

  • 15+ yearsPractical experience
  • 65+Certifications
  • Consulting + developmentfrom one source
Learn more
LUKAS TEISSL English edition
AI EXPERT by Lukas Teissl – English edition shown as a book mockup in an office Explore the book

My practical guide for business owners

AI EXPERT

AI & automation for revenue optimisation

The knowledge in the book.The implementation for your business.

In my book, I explore how AI and automation connect to concrete business goals. When we work together, I take the next step with you: from analysing your workflows to implementing a technical solution that fits your business.

  • Save timeSimplify recurring work with a clear purpose.
  • Connect processesBring AI, software and workflows together.
  • Spot revenue opportunitiesMake enquiries and follow-ups more reliable.

Free introductory call · Personal & no obligation

Typical starting point

Potential is rarely lost in only one place.

Time loss, errors and unnecessary costs usually arise where people, processes and systems do not work together cleanly. The consulting process therefore looks at the business as one connected workflow.

Duplicate data entry

Information is re-entered across multiple systems, spreadsheets or lists – creating unnecessary work and increasing the risk of errors.

Manual routines

Recurring administration consumes specialist time even though parts of the workflow can be simplified or automated reliably.

Unclear handovers

Status, ownership and the next step are not visible centrally. Follow-up questions and waiting times become the normal way of working.

Distributed customer processes

Leads, appointments, proposals, documents and follow-ups run through different channels and lose consistency as a result.

Isolated AI experiments

Individual AI tools have been tested, but they are not integrated into clear processes or reliable quality control.

Growth without structure

More clients, data or employees increase complexity and coordination needs instead of making the organisation more scalable.

Consulting objective

Not more software, but less friction.

Current stateA reliable picture of the actual workflows, systems, data sources and responsibilities.
PrioritiesA transparent order of priorities based on value, effort, dependencies and risk.
RoadmapQuick improvements clearly separated from structural projects and later expansion stages.
MeasurabilityConcrete criteria for evaluating adoption, quality, time savings and process improvement.
Structured analysis

From observation to a sound decision.

The analysis is not a generic workshop or a loose collection of technical ideas. It creates clarity about what should actually be improved, in what order and with what expected outcome.

Guiding questionWhich problem should be solved – and which solution is economical, secure and practical in day-to-day use?
01

Understand

Business model, objectives, roles, systems, data sources and customer journeys are examined in the real working context.

Shared understanding of the problem
02

Analyse

Bottlenecks, tool hand-offs, recurring tasks, risks and technical dependencies are documented transparently.

Traceable current state
03

Prioritise

Measures are assessed by their impact on time, quality, cost and customer experience, as well as by effort and risk.

Sound basis for decision-making
04

Implement & measure

Suitable process changes, integrations, automations or custom systems are implemented step by step.

Working solution instead of a presentation
Holistic optimisation

Four levers considered together.

A better outcome usually does not come from one isolated measure, but from the coordinated interaction of workflows, automation, systems and customer experience.

01

Processes & responsibilities

Workflows become simpler, responsibilities clearer and handovers more reliable.

  • Make status, roles and next steps visible
  • Reduce tool hand-offs and unnecessary loops
  • Document recurring workflows clearly
02

AI & automation

AI is used selectively where it creates measurable value.

  • Structure enquiries, documents and notes
  • Prepare responses and follow-ups with human oversight
  • Automatically surface tasks, reminders and exceptions
03

Systems & integrations

Existing tools are connected sensibly or selectively extended where needed.

  • Data flows between forms, CRM and internal tools
  • Integrations, roles, permissions and logging
  • Internal applications for specialised workflows
04

Sales & customer experience

A consistent process is created from first contact through ongoing collaboration.

  • Capture lead status, history and next action centrally
  • Manage proposals, appointments and follow-ups reliably
  • Align client portals, forms and websites with real business goals

Data protection, access rights, logging, backups and human oversight are considered during the design phase – not only after technical implementation.

Technology decision

The right solution is never more complicated than necessary.

Custom software is one option – but not automatically the best one. What matters is which approach delivers the desired value with reasonable effort and risk.

Improve existing systems

If a system is fundamentally suitable, the biggest gains often come from better configuration, clearer roles and cleaner workflows.

Connect standard solutions

When several tools are needed, integrations and automated data flows can create an economical overall solution.

Develop a custom solution

When specialised processes, roles or competitive advantages justify it, a tailored application can be built instead of an overloaded compromise.

View real systems

Delivery expertise you can see.

The following systems are concrete examples of how tasks, clients, projects, documents, sales and automations can be brought together in a clear digital structure.

Lukas Teissl Business CRM control centre on laptop and smartphone

Business CRM control centre

Tasks, clients, projects, invoices, costs, deadlines and key control areas in one connected workspace.

Open live system
Lukas Teissl protected client portal on laptop and smartphone

Protected client portal

Project status, tasks, documents, approvals, invoices, messages and access in one clear place.

Open live system
Lukas Teissl Sales CRM and automation system on laptop and smartphone

Sales CRM & automation

Leads, activities, follow-ups, proposals, workflows and automations for a traceable sales process.

Open live system
Why Lukas Teissl?

Strategic consulting with practical technical delivery.

As an IT expert, certified programmer and entrepreneur, I assess not only what is technically possible. What matters is business value, the real working environment, feasibility and an outcome that remains understandable and controllable over time.

15+years of practical experience in IT, software and digital systems
65+documented IT and technology certifications
One point of contactfrom strategic analysis to technical implementation
Practical focusvalue, effort, risk and day-to-day usability before technical showmanship
Frequently asked questions

Concrete answers before the project starts.

The scope depends on the actual problem. A project can begin with one critical workflow and be expanded later.

Discuss an open question personally
How extensive does the initial analysis need to be?

That depends on the starting point. It may be a focused review of a single process or a cross-functional analysis. Scope, objective and expected outcome are clearly defined in advance.

Does every improvement require new software?

No. Better configuration, clearer workflows or connecting existing systems are often more economical. Custom software is recommended only when it provides clear additional value.

Can existing systems be integrated?

In many cases, yes. Available interfaces, data quality, permissions, security and technical constraints are decisive. These points are reviewed before any binding implementation.

Where can AI be used effectively in a business?

Typical areas include structured processing of enquiries and documents, communication preparation, knowledge access and task or reminder logic. Clear processes, suitable data and defined human oversight are prerequisites.

How are results made measurable?

Before implementation, suitable criteria are defined, such as fewer manual steps, shorter processing times, better data quality, transparent responsibilities or more reliable follow-ups. There are no unsupported revenue or success guarantees.

Can implementation be phased?

Yes. Prioritised implementation in manageable stages is often more sensible than a major all-at-once rebuild. Experience from real use can then inform the next steps.

Your enquiry

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