AI Implementation

Custom AI assistants that serve residents, customers, and employees.

CivAIgentics builds AI assistants that support residents, public-service staff, and customers, trained on your actual procedures, grounded in your workflow, and available when the office or front desk is closed.

Discuss an operational challenge

Flagship example

A production municipal AI assistant

The proof case that municipal AI can do real service work through a website widget, phone assistant, and privacy-safe quality dashboard.

After-hours calls answered: 66% to 86%; Share of calls outside weekday business hours that were answered, August 2025 compared with August 2026.
Conversations in five months: 7,900; About 7,900 conversations by phone and on the website, April 26 to September 28, 2026.

Recognition

Smart 20 Award, Smart Cities Connect, 2026. One of 20 projects selected.
AI 50 Award, Center for Public Sector AI, 2026. Projects category.
Finalist, IDC Smart Cities North America Awards, 2026. Digital Equity and Accessibility category.

Experience from Dr. Steven Sierra Alcabes's municipal government role.

Read the municipal AI case study

What the assistant does

Website widget

Resident-facing text and voice access embedded into the municipal web experience with server-side key protection.

Phone assistant

Inbound calls route through Twilio Media Streams into an xAI realtime bridge with approved transfer controls.

Two-way SMS

Residents text one number and converse: trash days at their address, verified bills, permit status, and general service questions.

After-hours line coverage

Department phone lines answered after hours, each greeted with the right department identity, duty-hours awareness, and next-business-day callback capture.

24/7 availability

The assistant is always available, including nights, weekends, and holidays.

Five languages

English, Spanish, Vietnamese, Chinese, and Arabic, so residents can use the language they are most comfortable with.

Verified account lookups

Identity-verified utility account and permit answers, balance, due dates, usage history, inspections, and holds, verified server-side before anything personal is shared.

Public records and property answers

Permits at an address, zoning, floodplain, council district, nearby construction, and nearest parks, answered from public records and the city GIS.

Grounded knowledge

Trained on actual municipal procedures and policies so answers stay grounded in real operating knowledge.

Voice, privacy, and guardrails

xAI realtime voice

Natural conversation through xAI Grok realtime voice so residents can talk instead of filling out a maze of forms. The xAI migration lowered the voice-unit cost profile and improved real-world response latency compared with the prior chained voice stack.

Privacy-safe quality review

Quality review uses anonymized summaries and operational signals rather than storing raw transcripts or raw audio.

Server-enforced guardrails

Transfer allowlists enforced at dial time, 911-first emergency policy, and aggregate-only neighborhood statistics with structural privacy floors.

What we build

AI assistants designed around operational reality, including business-facing AI receptionist and customer service workflows.

Resident-facing assistants

Help residents find information, answer questions, and navigate services without waiting on hold.

Internal knowledge bases

Give employees fast access to procedures, policies, and institutional knowledge when they need it.

Process automation

Automate repetitive tasks and free the team to focus on work that requires judgment, context, and trust.

AI receptionist and customer service

Answer routine customer questions, collect useful intake details, route leads, and escalate conversations that need a person.

Appointment-workflow support

Connect the assistant to client booking workflows so customers can move from question to scheduling path without losing context.

Appointment workflows

Built for client booking systems and real handoff paths

We can build AI receptionists that support a client's scheduling path, collect intake context, and hand off to the right person. Emma on this website routes prospects to our booking page and can help frame a project note before a call.

Explore small business services

The CivAIgentics approach

We do not start with a model choice. We start with workflows, service promises, exceptions, and handoff points so the AI fits the operation that has to live with it.

Process mapping
We start by understanding the real workflow instead of building AI on assumptions.
Knowledge training
Your assistant learns from actual documents, procedures, and policies.
Continuous improvement
The system gets better as it learns from live interactions and exception handling.
Team handoff
The delivery model is meant to build internal capability, not permanent dependency.

Why this works

Trained on actual documents and procedures
Speaks the languages your community speaks
Available when offices are not
Escalates complex issues to humans appropriately
Improves through sanitized operational feedback
Built to hand off to your team instead of creating dependency

See how an assistant could serve your community.

Tell us about your business or organization, and we will talk through how a custom AI assistant can help you serve customers, residents, and employees more effectively.