

We read the papers. We find the stories.
We went behind the headlines, dug into the research, and connected the dots. Using AI, Paperazzi uncovered emerging trends, surprising connections, and stories hiding in plain sight.
Now the discoveries are yours to explore.
Experimental AI analysis of conference abstracts, not a peer-reviewed synthesis. The full papers remain the authoritative source.
Developed by Ayman ElTarabishy
Democratizing knowledge through AI. Keeping humanity at the center.
Paperazzi was created around a simple belief: knowledge should not be locked away in academic papers or limited to those who know where to look. By combining the power of artificial intelligence with human curiosity, we can make research more accessible, understandable, and meaningful for everyone.
An experimental AI research discovery initiative developed for the ICSB × OECD SME World Forum 2026.
Ten papers across the collection point to the same problem: the tools banks and governments use to judge small businesses often miss what matters. In one study, financial ratios misclassified about half of struggling firms at exactly the moment the judgment mattered most. Two Dutch research teams independently arrived at a similar answer: judge a business as a story over time, not a snapshot, and put the founder’s resilience at the center.
Eight studies, from several continents, describe a strikingly similar pattern: buying AI produces signals, not results. Value tends to appear when people and knowledge structures turn AI into new ways of working, employees feel ownership of the change, and humans keep the judgment to question what AI produces. Meanwhile, the readiness tools used to pick which firms deserve support appear themselves immature.
Egypt’s digital payment system appears to have transformed because entrepreneurs, banks and the central bank built trust and rules together over nine years, not because of any single invention. Other papers in the collection suggest AI credit scoring stalls at micro scale because decision rights sit in four disconnected institutions, and that work on finance, reporting and statistics keeps landing on the same design principle: let small firms share their own data, with consent, across banks, insurers and governments.
The nine papers in this track point to one shared diagnosis: entry programs and microloans exist, but growth capital and scale support do not. Women become investment-ready and still meet unsuitable products and risk-averse funders. And the field may often measure the wrong thing: firm-size expansion is not the only ambition worth counting.
Six papers in unrelated fields describe the same gap: support exists for micro-firms and for large corporates, and nothing holds the middle. The proposed remedies look similar everywhere: bridge institutions that hold the middle, from venture builders to pilot-to-procurement programs to thresholds that would finally make mid-sized firms visible.
In one comparison, two territories with nearly identical resources delivered very different results, suggesting composite scores cannot tell a high-input region that wastes its resources from a modest one that converts them fully. The papers propose a shift: measure conversion efficiency and capability position, and protect the mid-sized manufacturers whose skills are hardest to rebuild.
In one study, Turkish SMEs went green and digital when they entered new export markets, not because of grants. Other papers point to public procurement that buys solutions that do not yet exist, giving small firms a pilot client instead of a subsidy. Together they suggest buyer pressure does what green and digital subsidies assume but often fail to deliver.
Each insight draws on multiple papers from different tracks and research rooms. Numbers like #1000 are paper codes used across the conference program. The insights were identified by AI from the abstracts alone; the full papers remain the source of record.
Paperazzi stands for Patterns and Perspectives Emerging from Research: AI Zooms into the Zeitgeist of Innovation, an experimental AI research discovery pilot developed for the ICSB × OECD SME World Forum 2026. It read all 41 accepted research abstracts and surfaced the patterns, connections and open questions across them.