Are you looking for ways to introduce
AI to your business?
Are you looking for ways to introduce
AI to your business?
3 things to know about AI!
- AI Development is not rocket science. It is an evolution of the software development with data-first approach and around 20% of AI components.
- Despite the AI hype, don’t expect quick results. Start with a Proof of Concept and join the AI long-term game. The sooner you enter the race, the better.
- Focus on PRACTICAL IMPLEMENTATIONS of AI. One business case at a time.
Download a raport!
How does it work?
We find one strong business case to adapt AI to and then check the results with a Proof of Concept. If it is successful we move forward to develop MVP and a fully-scalable solution.
AI Automation
According to Goldman Sachs you can automate various areas of your business with AI even up to 46% of tasks
Task that can be automated with AI by roles/jobs
Source: Goldman Sachs Global Investments Research (March 2023)
Finance & Fintech
- Fraud Detection: Automate the identification of suspicious transactions and patterns to prevent fraud.
- Customer Service: Use AI chatbots to handle common customer inquiries and support tasks.
- Risk Assessment: Automate the analysis of financial data to assess creditworthiness and risk levels.
Marketing & Digital
- Personalized Campaigns: Automate the creation and delivery of personalized marketing campaigns based on user behavior.
- Content Generation: Automate the creation of engaging content, from social media posts to blogs, ensuring a constant stream of relevant victuals for your audience.
- Lead Scoring: Automate the scoring and prioritization of leads based on engagement and demographic data.
IT & Technology
- Help Desk Support: Automate the resolution of common IT support queries with AI-driven chatbots.
- AI Solutions for Start-ups: Build dedicated SaaS platforms for new businesses based on AI functionalities
- Observability: Implement AI-driven observability to provide real-time insights and proactive alerts on system health and performance.
Research
- Data Collection: Automate the gathering of data from various sources for research purposes.
- Scientific Paper Review: Use AI to analyze and summarize scientific papers, identifying key findings and trends.
- Experiment Analysis: Automate the analysis of experimental data to identify trends and insights.
Case study
AI Platform for risk decision engine
We created a SaaS platform from scratch that enables loan and credit businesses to make quicker and smarter decisions. This was achieved using a decision-facilitating and scoring engine based on AI and ML mechanisms.
Result:
- 80% cost reduction on new features
- 80% maintenance costs reduction;
- 50% infrastructure cost reduction
AI Assessment
Let’s find out how you can benefit from AI – optimising costs, improving efficency, maximise customer experience…
1. AI trends & market benchmarking
Where to start?
2. AI Business Analysis
How to use AI?
3. AI Use Case Identification
What kind of solutions?
4. AI Business Case Validation
What are the benefits?
Design your AI Strategy
Let’s build an AI Strategy to see how you can introduce AI to your business
Strategic
Long-Term Planning
Technology Forecasting
Goal Setting
Strategic Framework
Financial Planning
ROI Budget Allocation
Funding Strategy
Cost-Benefit Analysis
Risk Assessment
Risk Quantification
Risk Mitigation Plans
Compliance Check
Implementation Plan
Resource Allocation
Key Performance Indicators (KPI) Execution & Review
Download a whitepaper
Learn how to build an AI strategy for your business!
“How to build an AI strategy for your business?”
Download a white paper to find out how to introduce AI to your company by learning this new tech area step by step:
- What are AI and Machine Learning?
- What trends in AI to look for in 2024?
- What are the 7 guidelines for introducing AI solutions to your company?
- Building an AI strategy – start with AI Assessment first
- Design your AI Strategy Roadmap
- Turn your AI Strategy Roadmap into the first Proof of Concept (PoC)