Business decisions are often influenced by cognitive biases we're not even aware of. Recent research shows that artificial intelligence can be a powerful tool for more objective decisions — especially when it comes to evaluating partnerships.

Comparison: human brain with cognitive biases vs structured AI analysis — The human brain is vulnerable to cognitive biases — AI offers a structured alternative

Cognitive Bias in Partnership Decisions

Research by Daniel Kahneman, Nobel laureate, documented in "Thinking, Fast and Slow" (2011), shows that business professionals are vulnerable to:

Confirmation Bias

We seek evidence that confirms what we already want to believe about a potential partner

Halo Effect

A single positive attribute (charisma, portfolio) makes us overestimate all other qualities

Anchoring Bias

The first information received about a partner disproportionately influences the final evaluation

Overconfidence Bias

We overestimate our ability to "read" people correctly

What Research Shows About AI and Decisions

A MIT Sloan Management Review study (Ransbotham et al., 2017) surveyed over 3,000 managers and found:

3,000+

managers surveyed

50%

believe AI improves decision quality

AI Can Evaluate Business Strategies at Investor Level

A study published in Strategy Science (Csaszar, Ketkar & Kim, 2024) compared AI evaluations with those of VC and angel investors:

Key Research Finding

LLMs can generate and evaluate strategies at a level comparable to entrepreneurs and investors. They improve the speed, quality, and scale of strategic analysis.

Another field experiment from UW Foster / Harvard / MIT (Boussioux et al., 2024) — First Prize winner at Wharton People Analytics — demonstrated:

= ExpertNon-experts with AI assistance reached conclusions similar to expertsBoussioux et al. (2024) — First Prize, Wharton People Analytics

AI Advantages in Partnership Evaluation

Research by Davenport & Ronanki (2018), published in the Harvard Business Review, identifies three main advantages:

Consistency

AI applies the same criteria for every evaluation, without favoritism or fatigue

Comprehensiveness

Simultaneously analyzes multiple dimensions that the human brain processes sequentially

Objectivity

Not influenced by partner charisma or social pressure

“Expert entrepreneurs don't rely on predictions — they leverage available resources to create opportunities.”
— Sarasvathy, S.D., Academy of Management Review (2001)

Venn combines these principles: it uses AI to objectively analyze 6 compatibility dimensions, eliminating the cognitive biases that lead to failed partnerships.

References

Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.
Ransbotham, S., et al. (2017). Reshaping Business With Artificial Intelligence. MIT Sloan Management Review.
Csaszar, F.A., Ketkar, H. & Kim, H. (2024). Artificial Intelligence and Strategic Decision-Making. Strategy Science, 9(4), 322-345.
Boussioux, L. et al. (2024). AI-Assisted Decision-Making. Wharton People Analytics, First Prize.
Davenport, T.H. & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108-116.
Sarasvathy, S.D. (2001). Causation and Effectuation. Academy of Management Review, 26(2), 243-263.