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CivicOS
Google CloudPartner
Gemini Enterprise
06 · The engine inside

CivicOS isn't just AI-powered. It's agentic.

Gemini Enterprise runs a team of specialized AI agents inside your town hall — grounded in your data, governed by your policies, supervised by your people. Not a chatbot. A coordinated workforce that carries the administrative load while your staff carries the judgment.

In this town hall, today
  • Requests triaged847
  • Drafts awaiting approval19
  • Agents active6 / 6
  • Avg. grounding sources4.2
  • Human approvals logged1,204
What Gemini Enterprise is

Google's enterprise AI platform — built for data you can't afford to mishandle.

Grounded

Answers come from your data — ordinances, SOPs, prior decisions — not the open web.

Governed

PII masking, RBAC, DLP, and policy enforcement at the model layer. Not bolted on.

Orchestrated

Multiple specialized agents coordinate on multi-step workflows — the kind real civic work is made of.

Why it matters, for you

Three things make Gemini Enterprise defensible in a municipal RFP. All three are the things your attorney, your IT director, and your FOIL officer asked about last time.

Grounded in YOUR data

Every answer cites the ordinance, the SOP, or the prior case it came from. No open-web hallucination. No 'I think I remember reading…' from a model trained on Reddit.

Governed by YOUR policies

PII masking, role-based data access, approval gates, and data-loss prevention are enforced at the platform layer — which means they're enforced whether the agent wants to or not.

Integrated with YOUR tools

Google Workspace, Drive, Gmail, Calendar. Staff doesn't log into a new app — the assistance shows up inside the tools they already use.

01Public records

FOIL Request Agent

End-to-end turnaround
12 days45 min review
Before — your Tuesday today

A Freedom of Information request sits on a clerk's desk for twelve days while someone manually searches Drive, email, and shared folders for relevant documents, then redacts them by hand.

The agentic flow
  1. step 1Request received

    Resident submits FOIL via portal or email. Agent parses subject and scope.

  2. step 2Grounded search

    Agent searches Drive, Gmail, SharePoint, and your internal knowledge base. Only sources the requester is legally entitled to.

  3. step 3Draft + flagged redactions

    Agent drafts the response packet with every PII, CJIS, or exempt-material candidate highlighted for human review.

  4. step 4Clerk approves

    One click to send. Every edit is logged. The full audit trail is exportable for FOIL Officer review.

What staff gets back
Grounded in your Drive, email, and prior FOIL decisions. CJIS-aware by default.
02Licensing & permits

Permit Intake Agent

Intake to acknowledgement
9 touches, 5 daysParallel routing, same day
Before — your Tuesday today

A block party application lands in the permits inbox. A clerk copy-pastes into a spreadsheet, emails DPW and Police, waits, remembers to check the road-construction calendar three days later, then notifies the applicant.

The agentic flow
  1. step 1Application received

    Block party request submitted. Agent validates jurisdiction and date.

  2. step 2Conflict scan

    Checks municipal calendar, road construction schedule, and competing events within a 4-block radius.

  3. step 3Cross-reference ordinances

    Verifies block-party rules, insurance thresholds, and abutter-notification requirements.

  4. step 4Parallel routing

    Routes to DPW for cones, Police for traffic control, and Clerk for approval — all in flight simultaneously.

  5. step 5Applicant notified

    Automatic updates at each stage. Applicant sees the same timeline staff does.

What staff gets back
Parallel workflows, not sequential email threads.
03Governance & comms

Meeting Intelligence Agent

From gavel to public recap
4 hours of staff time20 min of review
Before — your Tuesday today

The Select Board meeting runs three hours. A staff member spends half the next day writing minutes, drafting a recap, and crafting social posts — often getting to it two days later.

The agentic flow
  1. step 1Audio captured

    Agent ingests official meeting recording and written agenda.

  2. step 2Summary + action items

    Produces a structured summary with decisions, action items (owner + due date), and unresolved questions.

  3. step 3Public recap + socials

    Drafts a plain-language public recap, a newsletter blurb, and platform-appropriate posts for Facebook and Instagram.

  4. step 4Staff review

    Everything lands in a review queue. Approve, edit, or discard — nothing goes public unattended.

What staff gets back
The first draft is always ready by 9 a.m. the next morning.
04311 & service

Constituent Intelligence Agent

Duplicate detection
7 tickets, 7 ETAs1 incident, 1 update
Before — your Tuesday today

Seven reports about 'the sinkhole on Maple' come in over 36 hours — through the portal, two emails, a phone call, and three Facebook tags. Seven tickets get opened. Seven residents get different ETAs.

The agentic flow
  1. step 1Cross-channel ingest

    Portal, email, phone transcription, Facebook messages, and voicemail all arrive in one queue.

  2. step 2Clustering

    Agent identifies that the reports describe the same underlying incident using location, time, and semantic similarity.

  3. step 3Single work order

    DPW sees one consolidated ticket with all evidence attached — photos, reporter contacts, and channel-of-origin.

  4. step 4Coordinated update

    Agent drafts one update and sends it to every affected resident through their preferred channel.

What staff gets back
Seven reports, one work order, one coordinated message.
05Finance & reporting

Grant & Compliance Agent

Compliance reporting cycle
2-week scramble2-day review
Before — your Tuesday today

A federal reporting deadline arrives. Finance pulls numbers from the ERP. Public Works digs through project binders. HR runs payroll queries. Two weeks of scramble, and three different versions of the same metric.

The agentic flow
  1. step 1Deadline detected

    Agent watches your grant calendar and flags upcoming reporting windows 14 days in advance.

  2. step 2Data assembly

    Pulls spend from finance, milestones from project management, and payroll data from HR — with source citations.

  3. step 3Template pre-fill

    Populates federal and state reporting templates. Flags every gap, inconsistency, or missing attestation.

  4. step 4Finance review

    Staff reviews the completed package. No more late-night cross-referencing between systems.

What staff gets back
Every number cites its source. Every gap is visible before the deadline.
06Staff enablement

Internal Knowledge Agent

Knowledge retrieval
Ask around, hope someone knowsExact answer in seconds
Before — your Tuesday today

A new clerk gets a call about a dog bite complaint on her third day. The SOP is in a binder. The ordinance is in a 400-page PDF. The last person who handled one left in 2022.

The agentic flow
  1. step 1Question asked

    Clerk types the question in Google Chat or the CivicOS sidebar.

  2. step 2Grounded retrieval

    Agent searches SOPs, ordinances, prior incidents, and council decisions — not the open web.

  3. step 3Cited answer

    Returns a step-by-step answer with links to the ordinance, the SOP, and three similar prior cases.

  4. step 4Escalation if unclear

    If confidence is low, the agent routes to a named subject-matter expert instead of guessing.

What staff gets back
Institutional knowledge that doesn't retire.

Supervised AI, not autonomous AI.

Every action an agent takes is logged. Every citizen-facing output requires a human approval before it leaves the building. Role-based access control is applied at the data layer — not checked once at login and forgotten. Agents can only see what their caller is authorized to see. And if Gemini returns a low-confidence answer, it says so, and the request routes to a human automatically.

100%
of outputs reviewed
0
autonomous emails sent
14
pre-built staff roles
365d
audit-log retention