The Ministry of Internal Affairs and Communications has published version 1.3 of a generative AI logging template for municipal chatbots, giving city and town procurement teams a shared baseline for what vendors should record, how long they should keep it, and who can access it. Jiji reported the update on Sept. 26.
The move is narrower than a law and broader than a suggestion. The template is aimed at contracts local governments sign with chatbot vendors, where logging and retention terms have often been an afterthought. A city hall buys a chat window, a vendor switches on a large language model, and the first question from residents becomes the last question procurement staff can answer: what did the bot say, to whom, and why?
A chat window is easy. The audit trail is not.
Municipal chatbots have moved quickly from menu-driven FAQ tools to generative AI assistants. That shift changes the record-keeping burden. A rule-based bot returned a fixed answer from a fixed database. A generative system composes a response, sometimes from a prompt that includes personal details, sometimes from a retrieval layer that pulls in internal documents, and sometimes from a model hosted outside the city's network.
Without a common logging template, each procurement becomes a one-off negotiation. Some vendors offer dashboards. Some hand over raw files. Some keep everything in their own cloud and call that transparency. Small municipalities, which often have one or two people handling both IT and contracts, are left to compare incompatible promises.
Version 1.3 does not settle every question. It does signal that the ministry sees logging as a procurement issue, not just a security setting. The template gives local governments language for the parts that tend to break after launch: what counts as a log, where it lives, who can query it, how long it survives, and how it is deleted.
What the template puts on the table
The core of the guidance is retention and access. For a municipal chatbot, a log entry is not only a technical record. It can be evidence of what a resident was told about a disaster warning, a garbage collection schedule, a childcare subsidy, or a My Number procedure. If a resident later disputes the answer, or if a data leak is possible, the city needs to reconstruct the session.
That requires more than a timestamp. Procurement teams need to know whether prompts and responses are stored together, whether the vendor can export them in a readable format, whether logs include user identifiers or anonymized session IDs, and whether any of the data is used to train or improve the vendor's model. The template's logging and retention focus pushes those questions into the contract before the chatbot goes live.
It also puts pressure on the vendor side. A company that sells the same generative AI stack to dozens of municipalities cannot easily promise a different retention period, access model, and deletion process for each one without adding cost. The template gives vendors a reason to build a common compliance layer, or at least a clear menu of options. The alternative is a patchwork of city-specific addenda.
The part that breaks
Municipal deployments often fail at the handoff between the pilot and the production contract. During a pilot, logs are plentiful because engineers are watching. After launch, retention policies are rarely tested until an incident. A resident asks for deletion. A city auditor asks for a six-month-old conversation. A vendor changes its subprocessor. A model is updated and the old behavior cannot be reproduced.
The template does not remove those risks. It makes them harder to ignore. Local governments will still need to decide how long to keep chatbot logs, how to classify the personal data that flows through them, and when to stop retaining a record that no longer has an operational purpose. Those decisions sit with privacy officers, legal teams, and service desks, not with the chatbot itself.
The politics are local. Residents want fast answers. Staff want fewer repetitive calls. Vendors want shorter sales cycles. Auditors want a trail. The template tries to give all four groups a common document. Whether it works depends on whether cities treat it as a checklist to copy or a prompt for their own procurement questions.
What to watch
The next test is adoption. If MIC's template becomes a standard attachment in municipal requests for proposal, vendors will have to answer it directly. If it remains optional guidance, the cities with strong IT teams will use it and the smaller ones may not. The update to version 1.3 suggests the ministry is already learning from early deployments, which is a good sign for a document that has to keep pace with model changes.
For now, the practical advice for local governments is unglamorous. Ask where the logs are stored. Ask who can read them. Ask how they are exported and deleted. Ask what happens when the vendor changes the model. The chat window is the easy part. The log file is the part that breaks.