Research & Proof of Concept

Bridging the Digital Gap: Co-Researching AI Challenges & Opportunities

Our Research Hypothesis

"There is a significant gap between the digital capabilities and infrastructure of SMEs compared to industry-leading standards due to the fast-evolving AI landscape and prohibitive costs of failed innovation."

The Gap We've Identified

  • SMEs lack resources to experiment with multiple innovation paths
  • High cost of failure prevents necessary risk-taking
  • Rapidly evolving technology creates widening knowledge gaps
  • Traditional R&D approaches are too slow and expensive

How We Bridge This Gap

  • Cost-effective parallel experimentation with multiple concepts
  • De-risking innovation through rapid prototyping
  • Bringing cutting-edge academic knowledge to practical applications
  • Identifying "diamonds in the dirt" before major investment

Our Research Process

The Innovation Funnel Explained

The innovation funnel is a structured process used to refine ideas from inception to implementation. Many early-stage concepts enter the funnel, but only the strongest ones—those that prove feasibility, scalability, and impact—emerge at the end as viable business opportunities.

How We Use the Funnel

At Göta IT, we take on the role of this funnel for your business. We help you screen early-stage projects, ensuring only the best ideas survive. We act as the filter, refining your options and handing over the highest-potential projects for you to scale with confidence.

The Process

  • Ideation: We work with you to generate and explore multiple concepts.
  • Evaluation: We rapidly test feasibility, market viability, and technical potential.
  • Prototyping: We build functional MVPs to validate the strongest ideas.
  • Testing: We refine and optimize solutions based on real-world feedback.
  • Implementation: We hand over proven concepts that are ready for scale.

The Innovation Funnel

From idea to impact: We refine, test, and prove only the strongest concepts—those that show feasibility, scalability, and value. This structured process ensures the most promising solutions make it to implementation.

Ideation

Generate multiple innovative concepts

Evaluation

Assess technical & business viability

Prototyping

Rapid development of promising ideas

Testing

Validate with real users

Implementation

Scale successful solutions

AI Innovation Research

FREE

3-month public study — join as a partner

  • Common Bottlenecks: Data quality, integration complexity, lack of AI expertise
  • AI Use Cases: Process automation, predictive analytics, customer insights
  • Industry Benchmarks: Compare AI adoption rates and best practices
  • Actionable Insights: Tailored recommendations for AI-driven growth
Join the Research