alpLytics

Your data. Made actionable.

AI Entry · alpLytics

StartAI.Structured.Concrete.

Many companies want to start with AI but lack a clear first move. In 4 weeks, we deliver a prioritised use case, a feasibility check, and an actionable implementation plan.

4 weeks · fixed priceOutput belongs to youNo sales pressure

Why the first step is decisive

AI stays an initiative. Without a plan.

Three indicators show why AI starts get blocked.

0 %

of AI initiatives are never started

Two thirds of all identified AI potentials in companies are never converted into active projects: not because of lack of interest, but because of missing orientation about the right first step, unclear priorities, and perceived risk.

00 mo.

for the internal decision on a first AI project

The typical internal decision process for a first AI project in mid-size companies takes three to six months: driven by internal discussions without a solid foundation. A structured analysis format replaces months with weeks.

< 0 wks

to a concrete, actionable AI plan

With the right structured approach: assessment, use case identification, feasibility concept, and implementation plan: companies can go from uncertainty to a documented, solid AI roadmap in less than four weeks.

The reality: and what is possible

Typical status quo without structured entryAfter AI Entry

Without structured entry → uncertainty. With AI Entry → clear plan.

Typical status quo without structured entry

AI and data have been recognised as strategically important for months or years: but no project has been started. The first step appears too large, too unclear, or too risky.

Internal discussions about AI priorities without a solid foundation. Management, IT, and business teams have different ideas about which approach is right.

Uncertainty about whether your own data is suitable for AI at all, what a realistic project would cost, and which prerequisites are missing.

After AI Entry

A complete inventory of the data landscape and a prioritised use case assessment. A clear answer to the question: which process is the right first step: and why?

Internal alignment on priorities, prerequisites, and next steps. Management, IT, and business teams speak the same language.

A concrete implementation plan, directly usable as a decision basis, budget request, or briefing for external engagement.

What you concretely receive

From uncertainty to a concrete, actionable AI plan

In four weeks: a complete inventory, prioritised use cases, and a directly usable implementation plan.

What you concretely gain

In four weeks from uncertainty to a documented, prioritised use case assessment with implementation plan.

Structured conversations with management, IT, and business teams create the alignment that was missing before.

A complete final document as decision basis, budget request, or project briefing: ready to use immediately.

Results based on completed AI sprint projects. Effort and result scope may vary.

Clarity about the right AI entry point

4 wks
NoneComplete

In four weeks from uncertainty to a documented, prioritised use case assessment with implementation plan.

Internal alignment on AI priorities

+100 %
FragmentedConsolidated

Structured conversations with management, IT, and business teams create the alignment that was missing before.

Decision basis for AI investments

4 wks
Gut feelDocumented

A complete final document as decision basis, budget request, or project briefing: ready to use immediately.

Faster decisionsLess coordination overheadReliable KPI logic

Four phases. One concrete result.

The structured sequence of the AI entry sprint

4Phases8–12WeeksWeek 2first results
ASSESSWeek 11 / 4

Inventory of data landscape & processes

We capture your current data landscape, process bottlenecks, and decision paths with management, IT, and business teams. The output is a reliable baseline with clearly named gaps, risks, and leverage points.

Swipe for DESIGN
DESIGNWeeks 2–32 / 4

Use case identification & concept

We prioritise the relevant AI use cases by business impact, data readiness, and delivery feasibility. For the top use case, you get a concrete technical concept including architecture, effort, and rollout path.

Swipe for ENGINEER
ENGINEER(Optional from week 5)3 / 4

Direct implementation on request

If needed, we move directly into implementation of the prioritised use case without extra ramp-up. Alternatively, your team can execute with another partner based on the same deliverables.

Swipe for TRANSFER
TRANSFERWeek 44 / 4

Handing over results

You receive a complete final document with priorities, feasibility assessment, and concrete next steps. Results are handed over with stakeholders so decisions can be made immediately.

Entry complete
Companies rarely fail to start AI because of technology; they fail because the first step is unclear. That is exactly what AI Entry solves: clear priorities, realistic feasibility, and a plan your team can act on immediately."
Dominik Wörz

Dominik Wörz

Founder, alpLytics · Vienna

What ends up on the table

What ends up on the table

You receive a structured overview of data sources, systems, data flows, and data quality. This makes it clear what is already usable for AI and which gaps must be closed first.

What you concretely have

in wks

to complete AI roadmap

%

own usability of the final document

prioritised use cases with feasibility assessment

Typical tech stack depending on use case

Technology recommendations by use case

Hover for details · Recommendations follow the problem: not the trend.

100 % Open Source

Keine Lizenzkosten, kein Vendor Lock-in

DSGVO-konform

Alle Tools laufen auf EU-Servern

Toolagnostisch

Das beste Tool für Ihr Problem — nicht mit Provision getrieben

10

bewährte Tools

in 1 Kategorien

Technologie-Rail

PostgreSQL

Storage

Assessment and validation of existing database structures

Typischer Einsatz

Assessment and validation of existing database structures

Warum gewählt

Ausgewählt für Stabilität, Wartbarkeit und Team-Fit.

Stack-Fit

Zentrale Datenbasis und Performance

Why alpLytics

What sets this format apart from other entry formats

No workshop without output. No strategy deck without technology. No result that only has value if a large project follows.

Not a disguised sales pitch

The output belongs to you: always

AI Entry is designed to create independent value, even without a follow-on project. The final document can be used internally or with any implementation partner.

Strategy and technology in one format

Not pure strategy consulting. Not pure tech vendor.

We combine strategic prioritisation with technical feasibility in one coherent workflow. You get no strategy without execution path and no tech plan without business relevance.

Four weeks means four weeks

No endless growing assessment

The format is time-boxed with clear phases, deliverables, and scope. You receive a firm result, not an open-ended assessment.

Who is this format for?

Who is this format for?

We prioritise companies seeking a structured entry: not another workshop about AI trends.

CEO / Managing Director

Mid-size company, 50–500 employees

AI is important but no project has ever started. Too many options without prioritisation. Budget for a follow-on project needs a solid foundation.

CTO / IT Director

Mid-size company without dedicated data team

Technical possibilities are known: but which process has the greatest leverage? And is the data foundation actually ready for it?

CFO / Head of Finance

Mid-size company, budget request in preparation

For approval of an AI project, an externally developed, solid foundation with concrete figures and realistic effort estimates is needed.

Frequently asked questions

What prospective clients usually ask

Next step

In 4 weeks you will know where you stand: and what the right next step is.

Request AI entry: we clarify in 20 minutes whether your company and timing fit the format. No sales pitch, no commitment.

Fixed price · defined output · independent of follow-on project · no sales pressure