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AI for public services

A plain-language assistant for your residents.

A public body has to explain its rules to everyone, in plain words, without making decisions it cannot defend. An assistant grounded only in published material, run on an open-source model in a Canadian region, helps residents find the answer while staff keep every decision.

// what matters here

What is different in this industry.

01

Answers from published sources only

The assistant draws only on bylaws, fee schedules and service pages you have published, and links each answer to its source.

02

No automated decisions

It explains and refers. Eligibility, enforcement and approvals stay with staff, which keeps it clear of rules on automated decision-making.

03

Hosted in Canada, owned by you

The open-source model runs in a Canadian region in an account the government owns, so residents' questions do not leave the jurisdiction.

04

Assessed before launch

We help prepare the privacy impact assessment and, for federal bodies, the algorithmic impact assessment, and staff review the evaluation results before it goes live.

// example projects

Priced examples for this service.

Each one is hypothetical, labelled as such, and priced live from our rate card. Open any of them in the estimator and make it yours.

Example projectWeb appAIOpen-source model

Plain-language resident assistant

Hypothetical. Not a client, not a result.

// The problem

Residents cannot find which bylaw, fee or form applies to them, so they call or visit, and front-line staff answer the same questions all day.

// What we would build

An assistant on the public website that answers from published bylaws, fee schedules and service pages in plain language and links to the source, on an open-source model hosted in Canada in an account the government controls, so no resident's question leaves its jurisdiction.

// What is in it

  • Answers in plain language, with a link to the bylaw or page they come from
  • Hand-off to a person, by phone or a form, when the question needs judgement
  • No decisions about eligibility or enforcement made by the assistant
  • An evaluation set of real resident questions, reviewed by staff before every update
  • An open-source model served in a Canadian region, in an account the government owns

// Stack

  • Llama or Mistral (open-source)
  • vLLM
  • PostgreSQL with pgvector
  • Next.js
  • AWS Canada

// estimate

Build
≈ US$112,000 to US$171,000, delivered within 23 weeksCAD 159,300 to 243,500
Hosting
≈ US$6,710 a monthCAD 9,550 a month
Support
≈ US$2,500 a monthCAD 3,565 a month

Prices in your currency are estimates from today's Bank of Canada rate. All invoicing is in CAD or USD.

AI route
Open-source model
Model running cost
≈ US$6,530 a monthCAD 9,300 a month

Timeline by milestone

Discovery
2.9 to 3.4 weeks
Specification and evaluation plan
0.4 weeks
Design approved
2.4 to 3.4 weeks
Core features
1.4 to 2.4 weeks
Full build
0.9 to 1.4 weeks
Working pilot
4.4 to 7.4 weeks
Testing and fixes
1.4 to 1.9 weeks
Launch
0.9 to 1.4 weeks
Production
0.9 to 1.4 weeks

Outside our hands, and added to the calendar

Procurement and privacy review
4 to 12 weeks

How it is paid

Deposit 20%
CAD 31,800 to 48,640
Discovery 1.8%
CAD 2,862.00 to 4,377.60
Specification and evaluation plan 10.5%
CAD 16,695 to 25,536
Design approved 1.8%
CAD 2,862.00 to 4,377.60
Core features 5.6%
CAD 8,904.00 to 13,619.20
Full build 3.7%
CAD 5,883.00 to 8,998.40
Working pilot 31.7%
CAD 50,403.00 to 77,094.40
Testing and fixes 1.8%
CAD 2,862.00 to 4,377.60
Launch 1.8%
CAD 2,862.00 to 4,377.60
Production 11.3%
CAD 17,967.00 to 27,481.60
Holdback, 30 days after launch (10%)
CAD 15,900 to 24,320
GPU time for training and testing, at cost
CAD 300. Billed up front, at cost, outside the milestones

// questions

Questions we get about this.

Why an open-source model for a government assistant?

It can be hosted in Canada in an account you control, with no resident data sent to an outside provider, which simplifies data residency and privacy reviews.

Will the assistant give legal or eligibility advice?

No. It explains published rules in plain language, links to them and directs residents to staff for anything that needs a decision.

Can the assistant answer in other languages?

Yes. Open-source models handle many languages. We evaluate each language you need on real questions before switching it on.

// next

Not quite your project?

Tell us what you have in mind. We will come back to you with a range and the questions that would narrow it. Or book a call and talk it through.

AI assistant for public services and municipal websites | Atheron Network Labs