AI's rapid advancement is driven by exponential growth in computing power, vast data availability, substantial venture capital investment, network effects, self-improvement capabilities of the AI systems.

This increases cross-industry adoption, and convergence with other technologies like 5G, quantum computing and cloud technology.

In addition, since the publication of Llama 3.1 by Meta, it is difficult to imagine how this trend could be reversed.

For committed early movers with a relentless AI focus and an integrated AI tranformation strategy, AI will likely help to optimize cost structures, thus improving profitability and margins.

Supoerior AI know-how will enhance pricing power, improve working capital management and increase asset utilization.

An integrated AI platform with a "corporate brain" (aka datalake) enables rapid scaling.

In addition, existing competitive advantages are hardened while new unique capabilities can be developed.

In many areas hypercompetitive markets wil become the norm. The winner-takes-the-most effect, a price decrease of many goods and services and the loss of many jobs are very likely. 

CEOs must act swiftly to understand technology trajectories, reassess business models, develop AI literacy, evaluate data infrastructure, identify high-impact use cases, consider ethical implications, and create an AI roadmap aligned with long-term strategy.

Only rapid action will help to avoid falling behind AI first competitors.

AI- first competitors will soon be able to learn at unprecedented, ever accelerating speed (2027?).

Those who master AI first, will likely experience rapid growth, strong margin expansion.

In addition, they will become an first class employee attractor, securing one of the few future sources of competitive advantage.

• Where and how does our AI threaten competitive advantage?
• How vulnerable is our business model to AI disruption?
• What are our best AI opportunities?
• How can we acquire necessary capabilities?
• What ethical and compliance risks must we address?
• How do we ensure our data readiness?
• What organizational changes are needed?
• How do we measure AI ROI?
• What are the potential geopolitical implications of advanced AI?

...

Failing to adopt AI can lead to substantial loss of turnover, eroded profit margins, diminished pricing power, increased working capital requirements, missed innovation opportunities, talent drain, and long-term strategic disadvantage.

In the worst case it might, faster than this was the case in the past, end in a acquisition of even restructuring.

Even only a partial adoption of AI might not be enough to see off the worst case.

We conduct an AI maturity assessment.

Based on this assessment we select one or several quick win projects. Ideally, those projects provide the base for projects with truly strategic impact.

If successful, we will transition into a fully fledged AI transformation project.

As we consult from the investors' perspective, most consulting costs and projects costs should be directly financed by savings. Over time the project will become self-financing. In total, the impacts on the bottom line should be relatively small.

However, because of the AI maturity assessment substantial AI investments in AI are needed. Tax incentives are available.

We build AI products ourselves. Hence, we offer operational expertise in AI technology and strategy.

This application building experience is complemented by a comprehensive assessment from the investors perspective, funding advisory and support.

In addition, we provide not so well known methodologies for value enhancement, a focus on working capital optimization and FCF optimisation.

AI technology has reached maturity for widespread integration.

Early adopters are gaining market share and profits.

Delay costs are increasing exponentially. 

Future economic conditions require AI-driven efficiencies.

AI will have its take-off between 2027 and 2030 (depending on technology advancements, regulation and costs).

This will lead to exponential, ever accelerating growth and a massive generation of informational capital.

For companies late the party it will be very difficult, most likely impossible to catch up.

Our services provide a complete, tailored AI transformation solution with a clear roadmap.

We jointly create and adapt a state-of-the-art AI technology stack.

We strive to position you as a future AI based industry leader (even for small niches). We help to drive revenue growth by defining superior products. And we push for cost reduction using AI to the fullest.

Our approach enables effective pricing strategies and includes tools for working capital optimization.

Practically speaking, our financial modelling scenarios show over and over again that tailored, well executed AI transformation strategy can lead to 10 % to 20% increase in turnover, 10% to 20% cost reductions and has a fair change to double EBIT as well ase company valuation.

Our AI Strategy and AI Technology Advisory Services use leading technology for automation and thus increase competitive advantage.

The final goal is the creation an exponentially self-learning, self-optimising corporate brain.

We aim to leverage the substance of your business by providing AI-expert assistants to your employees, dramatically improving their efficiency and effectiveness.

Next to AI we have also substantial operational experience regarding companies in difficulties and restructurings. We therefore know how to work effectively with very limited financial resources.

The cutting of unnecessary costs, negotiating better terms with suppliers, selling off non-core assets and aggressively collecting overdue receivables are all well-known practices.

We can execute negotiations with lenders to restructure debt (if necessary), seeking extended maturities or lower interest rates.

Cash flow is put under strict controls, capital expenditures are either postponed or focused only on the most essential projects. In addition, we focus on operational efficiency, optimizing supply chains, automating processes, and minimizing working capital needs.

We conduct a comprehensive AI maturity assessment, jointly design a custom tech stack and integrate technology and strategy into a detailed transformation plan.

We monitor and co-ordinate execution, provide ongoing support and sparring.

This will deliver measurable financial impact.

Next to costs we also focus on pricing and working capital optimization.

We do what we say: total focus on AI.

We advise from the investors' perspective (not many can do this).

We build technology ourselves.

We offer a holistic approach combining technology, strategy, and implementation. Financing if required.

Potential funding support and our focus on maximizing pricing power and working capital improvements enhance our offering.

Essentially, we build long term competitive advantage on a combination of brand, proprietary training and data sources.

We work on a leading edge Hyperintelligence Platform.

The idea is to provide SME with better AI technology than large corporates have.

We can do this, because we work with a fundamentally different architecture.

This project should give us enough challenges and experience which we can pass on to our consulting customers.

Future competitive advantage will rest on the fastest, AI enabled and AI driven learning curve in the industry.

We position our clients at the forefront of AI adoption, because we work there as well.

Key is to identify the industry specific learning curves. Implementing AI we accelerate those learning curves, ideally to the point where there is no catch-up.

So the consultant came to the company. He saw their old ways. He knew AI could change things.

He looked at their tech. It was weak. He found the gaps.
He made a plan. It was clear and strong. It fit the company's goals.
He showed them where AI could hit hard and fast. Money would come quick.
He knew the best AI makers. He brought them in. The company got the good stuff.
He made the departments work together. No more hiding data.
He taught them about data. Clean it. Use it. Guard it.
He helped the workers learn. They weren't scared of AI anymore.
He built tools for the bosses. They made better choices, faster.
He made the customers happy. They stayed. They spent more.
He kept watching. He kept the company sharp. Always ahead.

Our services increase revenue through AI-driven insights, reduces costs via automation, improve profitability through optimized operations, enhances working capital management, offers debt reduction potential, enables dynamic pricing, and significantly improves inventory and accounts receivable cycles.

In short, the fundamental economics of the business will change. A ​low margin business (e.g. call centres) has the chance to become a technology company.

A comprehensive AI Strategy aligned with business goals, secured executive and shareholder buy-in.

A roadmap for organization-wide AI integration.

Robust data governance, integration of diverse sources and and implementation of a scalable tech stack.

Hiring and upskilling, fostering of a cross-functional collaboration, and nurturing an innovation culture.

Identification of high-impact AI applications, realisation of proof-of-concept projects, and the development of a scalable solutions.

Compliance: Guidelines for bias mitigation, transparency, and explainability.

Implementation of AI-specific policies, risk management and compliance frameworks as well as robust cybersecurity measures.

Sufficient budgets for AI initiatives and ​top management buy in.

Type of service

We offer subcription services.

Why?

# Committment of both parties
# Benefits of AI can best be realised long term
# Cost reductions for all customers (lower customer acquisition costs)
# Better focus on super fast changing market
# We want to see results

AI Strategy Advisory Services

1.000 EUR /month (net)
all expenses
monthly data base fee of 500,- EUR
access to SPATHA's AI technology at about 30% price reduction

Important: we don't manage, advisory only

AI Technology Advisory Services

3.000 EUR /month (net)
all expenses
monthly data base fee of 500,- EUR
access to SPATHA's AI technology at about 30% price reduction

Important: we don't manage, advisory only

AI Transformation Advisory

3.000 EUR /month (net)
variable fee tbn (example: 10m EUR more turnover in comp to baseline e.g. 1,5% success fee)
all expenses
monthly data base fee of 500,- EUR

Important: Co-ordination of complete AI Transformation Advisory Program

Institutional Investor Readiness Program

8.000 EUR/month (net) - 2 days per week
variable fee tbn, typcial corporate finance fees apply
variable fee linked to realised company valuation in comp to baseline

M&A Advisory (Buy-Side only)

8.000 EUR/month (net) - 2 days per week
variable fee tbn, typcial corporate finance fees apply

Our subscription and service agreement is signed separately.

Billing and payment happens per dedicated Stripe site or PayPal by (corporate) credit card or PayPal.

Project starts with first payment credited to SPATHA's account

Subsequent payments are due four weeks after the first payment.

Additional hours and expenses are billed separately.

No payment, no service.

Please go for key terms to the section Services and scoll down to Scope and Costs. All relevant information can be found there.

Benefits compound as AI systems learn and improve, capabilities expand across business areas, competitive edge increases, and long-term cost savings and revenue growth potential are realized. In addition, pricing power and working capital efficiency progressively improve over time.

Furthermore, you can expect to benefit from our progress:

- Network of like-minded CEOs
- Indirect database access of approx. 15k EUR p.a.
- Direct access to SPATHA's technology on from 2025
- Option to become Beta customer for the application of expert systems
- Option to become Beta customer for the use of the Hyperintelligence Platform

All customers are part of the CEO network. This network want's to provide a home for AI first CEOs. Mutual exchange of experience is key.

In addition, our clients potentially benefit from shared and collective insights, collaborative AI projects, economies of scale, industry-wide advancements, , best-practice pricing strategies, and benchmarking opportunities for working capital management best practices.

As part of our assignment we offer - for example - comprehensive, highly individualised training programs, regular workshops on AI trends, ongoing information on financial impact maximization, specialized pricing strategy training, and dedicated resources for working capital optimization.

In addition, you can call us any time between working hours.

Decicated ​newtorking with C-level executives and CTOs.

Simply mail or call the founder.

ruben.bach@spathacapital.com
++49 177 84 52 53 0

We consider having Beta Customers in 2025. If you wanted to be considered, please send an e-mail to ruben.bach@spathacapital.com. TY

The exact scope is difficult to define, since there are too many variables. This being said, we still can give some indications

• A responsible project manager for one or several projects.
• Some time from company's lawyers
• More time from company's accountants
• Relevant time of the CFO/Controlling unit (to gear up the financials to really good quality)
• Lesser time of the CEO - focus on strategy
• Each Project has a dedicated input necessary. We do recommend a project manager per project. This will likely require certain time commitment by employee
• Investment or purchase of AI technology

The project typically involves 1-2 months for initial assessment, 18-24 months for phased implementation, and continuous optimization beyond.

Complex AI Transformation Programs might take up to 36 months or longer.

We agree on clear timelines for financial impact milestones and working capital improvements.

We project a 200-300% ROI over the first 3 years, with breakeven typically achieved within 12-18 months. Long-term ROI potential increases as AI capabilities expand, including both tangible and intangible returns across revenue, costs, and profitability.

Our case studies continue in a detailed analysis of the integrated balance sheets of the company in question.

We work out assumptions of key variables of the model and correct for AI impact. This results in a before & after assessment.

As our integrated financial model also has a financial ratio section and a valuation section, we provide also those value pre and post a AI Transformation program.

We also offer to create AI based Studies on industries and companies (for a fee).

As part as our AI Maturity Assessment, we conduct a comprehensive audit to identify technical debt, create a prioritized plan to address critical issues and integrate technical debt reduction into the overall AI strategy.

Furthermore, we continuously monitor IT deployment to prevent future accumulation, ensuring a strong foundation for advanced AI-driven strategies.

We develop custom integration strategies for each client's unique landscape, using a phased approach to enhance or replace legacy systems.

Personally, we favour an airgapped, on-premise server for the use and application of AI. Can be used by emploees per ​browser.

We employ rigorous quality assurance protocols.