AI is already standard – the question is how quickly you capitalize on it.
78%
Does
already use AI
So many organizations are already using AI in at least one business function. AI will soon become the norm rather than the exception (McKinsey, State of AI 2025).
2,4X
Higher
productivity
Companies with fully AI-led processes achieve 2.4x higher productivity than their competitors (Accenture, AI Productivity Benchmark, 2024).
74%
Exceeds
expectations
Report that their GenAI initiatives meet or exceed expected ROI; 20% see >30% return (Deloitte, Generative AI ROI Survey, 2024).
25%
faster
with GenAI
Knowledge work performed with GenAI is 25% faster and 40% more accurate (Harvard Business School & BCG, GenAI Knowledge-Work Study, 2023).
20 %
Minor
outages
AIOps reduces unplanned downtime in DevOps environments by 20% (Gartner, Market Guide for AIOps Platforms, 2024).
3/4
CEOs see the
advantage
Three out of four CEOs see AI as a key competitive advantage (PwC, 27th Global CEO Survey, 2024).
AI services
Four steps to results
01
Discover the ROI case
We conduct a workshop and a data scan to identify processes with high savings potential. The result for you will be a prioritized action list with estimated payback time.
02
PoC <4 weeks
We develop a prototype that proves the business value before large investments. You get an early go/no-go – minimizing risk and cost.
03
Implementation
We perform full integration into systems and workflows, change management and training. This gives you measurable efficiency gains in real time.
04
Operation as a service
We carry out continuous MLOps, monitoring and improvement. This gives you ongoing savings without internal operational burdens.
Timeline
Process
Kick off & KPI setting
Together, we’ll pinpoint your biggest business challenges, define a clear vision and translate it into measurable KPIs. During a focused workshop, we secure the mandate, timeline and resources so that everyone knows exactly what “success” should mean – before a single line of code is written.
Data print
During the first weeks, we map data sources, quality assure them and build a first, consolidated data warehouse. The sprint ends with a data prototype and a gap analysis showing what’s already there, what’s missing, and how to fill the gaps most quickly.
PoC demo
We develop a streamlined Proof of Concept that proves the business case in practice. The result is an executable demo – complete with preliminary accurate models, cost estimates and a clear ROI calculation – that makes it easy to decide on a full-scale investment.
Go-live
The solution is put into production, integrated into your existing processes with live data and scaled up to real users. We handle the operating environment, security and change management; you get trained teams, ready-made manuals and a smooth transition without downtime.
Run & Improve
After launch, we monitor model performance, collect feedback and iterate continuously. With automated backtracking, A/B testing and regular roadmap reviews, we ensure that the solution continues to deliver value – even as the business, data and environment change.
Practical answers
FAQ
Most customers see a positive cash flow already within 2-6 months thanks to our proven PoC methodology that allows you to validate the benefits before major investments. During the PoC phase, we set clear financial KPIs (e.g. hours saved, increased revenue, reduced errors, shorter lead times) and measure them continuously. Experience shows that businesses with high data maturity reach break-even in around 3 months, while those that start without a data platform are often around 5 months as data collection and training become more extensive.
No, we don’t. In our initial Datasprint, we map existing sources (ERP, CRM, sensor data, etc.) and identify if all data is available and how it can be used. In this way, we set a robust foundation that can easily be used for the AI solution and that can then be quickly integrated with existing BI tools.
We work according to “privacy by design” and ISO 27001 principles:
- Data is encrypted both at rest (AES-256) and in transit (TLS 1.3).
- Training and inference environments run in segregated VPCs with strict IAM control.
- Personal data is pseudonymized or anonymized; when PI needs to be processed, we perform a DPIA and include
- DPA specifying the place of storage within the EU/EEA.
- All ML artifacts are versioned in an ML registry; each interaction is logged and traceable to model and data packages.
- Regular penetration tests and vulnerability scans ensure that new dependencies do not introduce risks.
Our approach complies with both GDPR and your industry-specific regulations.
A simple PoC can cost from 150 000 – 300 000 SEK depending on data quality and difficulty of implementation. A typical PoC includes:
- Kick-off workshop (half to full day) + requirements & KPI definition.
- Datasprint (1-4 weeks): data collection, verification and model design.
- Development & testing (1-2 weeks): model training / fine-tuning, integration with APIs and UI prototype.
- Demo & ROI report: (2-4 weeks) executable prototype, cost-benefit analysis and decision basis for further investment.
The price is adjusted based on data complexity, number of integrations and whether you want to include change management workshops or security audits. After the PoC, you will receive a fixed cost quote for full implementation, so that the total cost is transparent before you take the next step.
Purchasing & supply chain
– Common AI application: Forecasting model, automatic order placement
– Typical benefit: 10-15% lower inventory
Customer support
– Common AI application: GenAI-powered agent assist
– Typical benefit: 35% faster case resolution
Scheduling
– Common AI application: Optimization algorithm
– Typical benefit: 10-20% less overtime hours
DevOps & Operations
– Common AI application: AIOps for log anomalies and preventive service
– Typical benefit: 10-20% less unplanned downtime
Common is that data already exists or can be instrumented and that there are measurable KPIs that make ROI visible. If your process differs, we help you evaluate the potential with a feasibility study before you invest.
Take control of efficiency – let us create your AI roadmap
From idea to operation – we turn your data into measurable savings and faster decisions. Book a free AI consultancy.