From potential analysis to a fully functional live system – get started without risk
Artificial intelligence is on everyone’s lips. But there is often a big gap between the hype and successful implementation in companies. Many organizations ask themselves: Where to start? Is the investment worthwhile? And how can we avoid costly failures?
At Deep Impact, we follow a clear principle: No AI project without a business case. AI is not an end in itself. With our 4-step approach, we accompany companies from the initial idea to the productive system – transparently, measurably, and with minimal financial risk.
Our basic principle: Calculate first, then act
Before we write a single line of code, we ask the crucial question: Does it pay off? Together with our customers, we analyze existing processes, identify automation potential, and calculate the expected return on investment. Only when the business case is right do we proceed with implementation.
The efficiency potential can be demonstrated at every step. This gives you maximum automation insights with minimal financial risk.
The 4 stages in detail
Stage 1: Process analysis & efficiency potential
This phase is free of charge for you.
In 1-2 days, we analyze your processes and IT systems, evaluate their economic efficiency, and make specific recommendations. You receive a detailed report with ROI forecast – without any obligation.
Contents:
• Analysis of the existing process and IT landscape
• Evaluation of economic efficiency
• Concrete recommendations for action with business case
Stage 2: Prototype
Only when the business case is convincing do we develop a functional prototype. In this phase, technical feasibility is tested under real conditions.
Contents:
• Data provision and preparation
• Prompt engineering and AI configuration
• Validation and confirmation of assumptions
Stage 3: Live system implementation
After a successful prototype phase, the system is integrated into your productive environment. We pay particular attention to system adaptations, seamless integration, and compliance with all requirements.
Contents:
• System adaptation to your infrastructure
• Productive system implementation
• Strategy and compliance coordination
Stage 4: Operation & Optimization
The project is not complete once it goes live. AI systems must be continuously monitored, further developed, and optimized in order to deliver lasting added value.
Contents:
• Ongoing monitoring and supervision
• Further development based on user feedback
• Prompt optimization for better results
Why this approach works
Our 4-stage model offers decisive advantages over the classic “big bang” approach:
Risk minimization: Thanks to the free initial analysis and step-by-step implementation, you only invest where the return on investment is proven.
Transparency: At every stage, you know exactly where you stand and what the next step will cost. No hidden costs, no nasty surprises.
Measurability: The business case is continuously validated. The promised efficiency gains are not just theory, but are verified at every stage.
Flexibility: After each phase, you can decide whether you want to continue. You retain full control over your project and your budget.
“AI is not an end in itself. Every automation must pay off – and that’s exactly what we ensure with our approach.”
Conclusion: The sure path to AI automation
Deep Impact’s 4-step approach makes AI projects plannable, measurable, and economical. Instead of blind actionism, we rely on sound analysis and step-by-step implementation. The result: maximum automation insights with minimal financial risk.
Would you like to know what automation potential your company has? Start with our free potential analysis.
