AI Integration with Measurable ROI
From experiment to value creation
You're under pressure to deploy AI. At the same time, 70% of AI initiatives fail before reaching production. Krafteq brings AI features into your existing systems — pragmatically, measurably, and production-ready. So AI finally delivers instead of just costing.
Service company, 200 employees: 60% of support tickets automatically categorized, 35% shorter processing time through AI-powered workflows.
ChallengesWhy AI projects don't demonstrate their value
The paradigm shift is here: boards no longer ask 'What can AI do?' but 'Where is the ROI?'. Yet most AI projects remain stuck in the pilot stage. The problem is rarely the technology. It's architecture, governance, and missing production readiness.
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Experiments don't make it to production
30% of executives say their company can't deploy AI at competitive speed. Proof-of-concepts work in the lab, but the architecture to integrate them into existing systems is missing. Pilot projects consume budget without making an impact.
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Missing AI-ready architecture
Legacy systems block AI adoption. Companies with fragmented systems have a 30% higher probability of delays in AI implementation. Without stable APIs, clean data, and scalable infrastructure, AI remains a PowerPoint topic.
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Governance and compliance slow down adoption
Only 27% of companies have ethical guardrails for AI features. AI-related incidents rose by 56% in 2024. GDPR requirements, data privacy, and auditability are non-negotiable for German companies.
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Cultural barriers outweigh technological obstacles
Teams lack trust in AI results. Departments work in silos. Leaders expect miracles without adapting processes. AI projects fail at the organization, not the technology.
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Rising costs without visible return
AI workloads can blow up cloud bills within hours. At the same time, there's no transparency on whether the investment pays off. CFOs demand accountability — and receive promises instead of numbers.
Our ApproachAI that measurably creates value
Krafteq treats AI not as an end in itself, but as a tool for concrete business outcomes. Before every sprint, we define KPIs together. After every sprint, we measure progress. You see at any time what AI concretely delivers — in euros, hours, or quality metrics. Typical: 35-60% efficiency gain in automated workflows.
We don't replace anything that works. Instead, we extend your existing applications with AI capabilities — through stable APIs, clean data pipelines, and proven frameworks like Python, NestJS, or Spring Boot. No platform switch, no risk. GDPR-compliant architecture, audit trails, and access controls are integral to every solution.
AI features we deliver are production-ready: with monitoring, error handling, and scalability. We rely on EU infrastructure and transparent AI models. Production-first engineering means that an AI model without observability is not a product — it's a risk.
ProcessHow we bring AI into your production
Our proven four-step process takes AI features from idea to production — pragmatically, measurably, and with clear ownership.
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AI Readiness Assessment
We analyze your existing system landscape, data quality, and processes. Together, we identify the areas with the highest automation potential and assess technical feasibility. You receive a prioritized roadmap with realistic ROI projections.
Clear overview of where AI creates immediate value — and where prerequisites need to be established first.
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Quick-Win Sprint
We implement the first AI use case with the highest ROI. In 2-week sprints, we deliver working features: intelligent document processing, workflow assistants, or AI-powered search systems. You test immediately with real data in your environment.
Working AI feature in production. Measurable ROI you can present internally.
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Scaling and Architecture
Building on the initial success, we systematically expand the AI integration. We create an AI-ready architecture with stable APIs, data pipelines, and governance frameworks. Observability ensures every AI component is monitored and controllable.
Scalable AI platform that can onboard new use cases in days instead of months.
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Continuous Optimization
AI models need maintenance. We monitor performance, optimize models, and adapt workflows to new requirements. As a long-term partner, we ensure your AI investment delivers value continuously.
Increasing ROI over time. No knowledge drain, no standstill.
ServicesAI engineering with production readiness
Krafteq combines AI engineering with proven software craftsmanship. We don't deliver isolated models, but production-ready AI systems embedded in your business processes.
Intelligent Document Processing
Automatic extraction, classification, and routing of documents. Invoices, contracts, or support requests — AI processes them in seconds instead of hours. Integration with existing DMS and ERP systems.
Workflow Automation with AI
Repetitive business processes are relieved by intelligent assistants. From ticket categorization to proposal generation. Based on Python, NestJS, and modern LLM frameworks.
AI-Powered Knowledge Systems
Enterprise-wide knowledge becomes searchable and usable. RAG architectures with PostgreSQL/pgvector connect your data with powerful language models. GDPR-compliant with fine-grained access controls.
AI-Ready Architecture
Stable APIs, clean data pipelines, scalable infrastructure. With Kubernetes, Docker, and cloud platforms like AWS, Azure, or EU alternatives. So new AI use cases go live in days instead of months.
AI Governance and Compliance
Transparent decision paths, audit trails, and access controls. Guardrails that ensure GDPR compliance and make AI risks manageable. Especially relevant for regulated industries.
Observability for AI Systems
AI models in production need monitoring: latency, accuracy, drift, costs. OpenTelemetry, Prometheus, and Grafana ensure you always know how your AI performs — and what it costs.
Make Legacy Systems AI-Ready
Fragmented legacy systems block AI adoption. We modernize selectively: API encapsulation, data consolidation, and incremental migration. So even mature system landscapes benefit from AI.
Control Cloud Costs for AI Workloads
AI workloads are resource-intensive. We right-size infrastructure, optimize compute costs, and implement automatic scaling. Typical: 25-40% cost reduction for AI workloads through FinOps expertise.
ResultsTrustworthy results instead of empty promises
AI Integration with Measurable ROI — let's tackle it
Let us discuss how we can solve this challenge for your organization.
“AI integration is not a technology problem — it's an engineering problem. We bring AI features into production, not into the next presentation. With measurable ROI, GDPR compliance, and ownership from day 1.”
