Thanathorn has arrived, inviting the public to test the People's Party's AI anti-corruption tool, believing it to be a vital instrument that will make corruption more difficult.
On 29 May 2026, Mr. Thanathorn Juangroongruangkit, Chair of the Progressive Movement, posted on Facebook inviting everyone to try the People's Party's AI anti-corruption system. He stated that last week, the People's Party's Bangkok governor candidate team, led by Mr. Chaiwat Sathavaravijit, launched the "Bangkok Redflag AI" policy—a system that helps detect anomalies in public procurement, which is part of the People's Party's platform for the upcoming general election.
Mr. Thanathorn explained that this concept could be one of the key tools to make "corruption more difficult" in Thailand, whether it be specification rigging, bid rigging, or abnormal procurement prices—issues regularly reported in the news. The core of this anti-corruption technology is that government data must be in a form ready for computer processing, enabling AI to analyze, detect irregularities, and automatically alert. Behind the system is a combination of rule-based methods and AI analyzing complex, voluminous TOR documents. In reality, a major obstacle in combating corruption is that "the devil is in the details." The sheer volume of procurement documents exceeds what humans can visually inspect within limited time.
Mr. Thanathorn added that the Bangkok Redflag AI presented by the People's Party Bangkok team includes seven key approaches covering the entire procurement process from beginning to end.
1. Budget and funding request documents must be in a machine-readable format, not just files that can be opened for viewing but cannot be analyzed further. If the data is not prepared for processing or is unstructured, AI inspection is practically impossible.
2. Red Flag for specification rigging: AI analyzes whether there is abnormal specification setting to alert humans to further investigate whether the project may favor certain private entities.
3. Red Flag for overpriced items: Comparing procurement prices with historical data and market prices. If prices are abnormally high, the system immediately issues a warning.
4. Price catalog database: Creating a benchmark price database based on real market prices to reduce loopholes in non-transparent price surveys and improve inspection accuracy.
5. Red Flag for TOR: AI reads the TOR and assesses a "Risk Score" indicating potential corruption risks, such as competitor exclusion, abnormal delivery conditions, or clauses favoring certain groups.
6. Red Flag for close networks: AI analyzes connections among bidding companies, such as shared shareholders, board members from the same group, or relationships suggestive of bid rigging, which are very difficult for humans to detect without technological assistance.
7. Digital Forensic Scan: DNA-level inspection of digital documents. In many cases, winning companies may submit original files to competitors who slightly modify details before bidding. The system can detect abnormalities from digital traces in files, similar to conducting a document DNA analysis as far as possible.
It is believed that this anomaly detection technology raises the cost of corruption and makes oversight everyone's responsibility, not just a single agency's. Therefore, anyone interested in trying the demonstrated example is invited to view it here.https://bkk-redflag-demo.peoplesparty.or.th
