enCodePlus

Poor document practices have been creating friction all along. The introduction of AI just makes it easier to see.

❌Broken references.
❌Flattened tables.
❌Inconsistent numbering.
❌Outdated PDFs.
❌Disconnected maps.
❌Unclear source authority.

Experienced human staff have the mental dexterity to navigate these problems, but digital systems work only from what is structured, current, connected, and available.

If planning documents are messy, AI just makes it worse.

Read our latest article, linked in the first comment.

AI readiness is not a one-time cleanup project.

Planning documents are always evolving:

➡️Ordinances are amended.
➡️Maps are updated.
➡️Standards are revised.
➡️Plans are adopted.
➡️Procedures evolve.

If those changes are not incorporated consistently, the system works from whatever it thinks is current.

A human may remember what changed, but a digital system only knows what has been maintained.

That is why document governance is so important.

Zoning text and GIS layers have to stay aligned.

If the ordinance uses one district name, the zoning map uses another label, and overlays are maintained somewhere else, the system inherits the same ambiguity. Staff can manage ambiguity with discernment, but AI cannot.

For planning and zoning, maps are not just visuals. They carry regulatory context.

District names, overlay boundaries, parcel data, and adopted text all need to correspond.

Otherwise, even a well-designed system may surface the conflict but not resolve it.

Planning documents often live in more than one place.

🔎A published code.
💻A PDF on a department webpage.
📂An amendment folder.
📓A staff copy.
📝A version everyone knows is outdated, but still circulates.

Staff may know which version governs because they know the history, but a digital system needs a clear source of record before it can return a reliable answer.

For AI-assisted planning tools, source authority has to be explicit:

• Which document is adopted?
• Which version is current?
• Which amendments have been incorporated?
• Which source should be used for citation?

When the source of record is unclear, uncertainty leaks into the output.

Keeping a municipal code current takes time, consistency, and the right process.

For some communities, that means managing updates in-house. For others, it means relying on outside codification support. Many fall somewhere in between.

We put together a short educational article to help communities think through which codification approach fits best: self-service, full-service, or hybrid.

Read it here👇 https://www.encodeplus.com/2026/06/municipal-codification-services-choosing-the-right-fit/

Planning and zoning questions are not ordinary AI questions.

They depend on adopted ordinances, plans, maps, standards, overlays, procedures, definitions, and cross-references that must work together consistently.

Generic AI systems were not designed for that environment.

They are built to generate broad conversational responses from massive public datasets. In a controlled regulatory framework with authoritative source boundaries, that kind of expansive, unbounded behavior creates risk.

Planning-grade AI works differently.

It depends on:
• structured regulatory documents
• preserved hierarchy and relationships
• citation-backed responses
• controlled document scope
• clear authority boundaries

In planning and local government, accuracy alone is not enough.

Answers also need to be traceable, defensible, and grounded in adopted regulations.

Most planning documents were created for human readers, not for digital systems.

A PDF can look perfectly organized to staff while still losing the structure modern systems rely on to understand hierarchy, tables, references, and relationships between regulations.

That usually goes unnoticed until jurisdictions begin introducing more advanced digital tools, automation, search environments, or AI-assisted guidance.

When structure is lost, systems may still read the text—but lose the context that makes regulations understandable.

Structure matters before AI ever reads the document.

Digital tools don’t read documents the way people do. They rely on headings, numbering, and internal references to understand relationships.

"“AI-ready” has very little to do with the AI itself.

It depends on whether your ordinances, plans, maps, and standards are structured, aligned, and maintained as connected systems.

Most communities don’t have a technology problem. They have a document governance problem.

More here:
https://na2.hubs.ly/H05DQfT0

Carlye and Alexys are having a great time at IIMC seeing old friends and making new ones. There's still time to drop by Booth 417 to say hi!

Big congratulations to Brenda Blanco from New Bern, NC. She won our giveaway!