Lumin
Marketing Group

AI integration / Edmonton service businesses / Lumin Marketing Group

AI implementation.
For Edmonton businesses.

Practical AI integration for Edmonton service businesses. Connect your tools, reduce repetitive admin and keep your team in control with Lumin Marketing Group.

One useful place to start

Put AI to work in the business you already run.

Lumin Marketing Group implements AI for small and midsize service businesses in Edmonton. We connect approved information, existing software and a defined team workflow, from the first assessment through testing and handover.

Start with a task that repeats: sorting inquiries, finding the right procedure, or turning job notes into a draft. We work with the people doing that task to decide what AI should prepare, what a person should check and what a useful improvement would look like.

We are based in Edmonton and work with businesses in surrounding Alberta communities and beyond. Bring your current tools and one business priority; you do not need a technical specification.

Examples to scope with your team

Where does the work slow down?

Inquiries need a clearer handoff.

Explore a workflow that summarizes a new request, flags missing details and prepares it for the right person. Staff review the response and decide the next step.

Start with: one inquiry source and a named person responsible for follow-up.

Answers are scattered across files.

Scope an internal assistant that helps staff find answers in approved procedures and documents. Define which sources it can use and when a question goes to a person.

Start with: a maintained set of documents and questions your team asks often.

Every job starts with more admin.

Assess how approved notes could become a job summary, document or reply draft. Keep pricing, commitments and customer-facing messages under the agreed staff review.

Start with: one repeatable document and a clear example of an acceptable result.

These are possible project scopes. We assess your actual tools, data and review process before promising a connection or outcome.

From assessment to handover

What does an implementation include?

Your proposal defines the deliverables and the checks needed before your team relies on the workflow. A focused implementation can include:

  1. Map one workflow.

    Document the inputs, manual steps, expected output and staff owner. Record a baseline, such as completion time or rework, and agree on the first useful test.

  2. Build the agreed connections.

    Configure the assistant or application, its approved information and supported tool access. Set permissions and the points where a person must approve an action.

  3. Test with your team.

    Use representative tasks, missing information and failure cases. Check accuracy, handoffs and recovery, then compare the result with the baseline and agreed acceptance criteria.

  4. Hand over a usable system.

    Provide the operating guide, team training and a clear owner for maintenance. Confirm subscriptions, usage costs and the scope of ongoing support.

If a custom interface is needed, we scope the application around the same task and acceptance checks. Customer-facing chat and voice assistants and Grok Bot implementation have their own service pages.

Built for Lumin’s own website

See the work, including the handoff.

Two parts of our own customer journey show the difference between an assistant’s answer, an approved request and a team notification. Each example explains the process, human review and limits, with an actual interface screenshot.

01 / AI assistant

Lumi: questions to a clear next step.

Text and optional voice, a maintained answer guide and a visitor-controlled route to contact the team.

See how Lumi is implemented →

02 / Connected workflow

Inquiry to team notification.

A reviewed contact form, saved request and delivery receipt, with staff responsible for the reply.

Follow the inquiry workflow →

These are Lumin-owned implementations. The examples document what was built; they do not claim measured client ROI. Explore our brands and other work · Meet the team.

Scope before a quote

How much does AI implementation cost?

Lumin quotes after reviewing your workflow and systems. A focused connection and a custom application require different work. We do not publish a universal package price.

  • Build scope: the number of systems, data preparation, access requirements and any custom interface.
  • Testing and handover: the review process, acceptance checks, documentation and training.
  • Running costs: software subscriptions, AI usage, hosting, maintenance and ongoing support.

Your proposal should separate implementation fees from recurring costs and explain what is included. Bring a budget range and preferred timeline so we can discuss a practical first scope.

Read how project pricing works

Before you start

Common AI integration questions.

Do we need to replace our current software?

We start with the website, email, CRM, calendar and documents you already use. Supported APIs or connectors may allow an integration. We check the exact products, subscription plans and administrator permissions before agreeing to a connection.

Which AI tools can Lumin work with?

We assess Claude, OpenAI, Gemini, local models and other suitable tools around the task. The choice depends on answer quality, supported connections, permitted data and operating cost. Tool names do not imply certification or endorsement.

How long does an AI implementation take?

We confirm timing after discovery. The number of connections, data readiness, account access, testing and your team’s review time affect delivery. The proposal sets milestones for a first working version, acceptance checks and handover.

Will AI send messages or make changes without us?

Only within the permissions agreed for the workflow. We identify actions that need staff approval, test those boundaries and document who handles exceptions. A prepared reply or quote stays a draft until the agreed review is complete.

What do we need before setup starts?

Bring one repeated task, a sample with private details removed and the names of the tools involved. We identify the source information, account owner, required permissions and staff reviewer before connecting anything. Access and data readiness are part of the agreed scope.

How are mistakes and failed connections handled?

We agree checks for missing information, incorrect answers, duplicate requests and unavailable tools. Define what should stop, what can be retried and who is alerted. Your team reviews representative results before relying on the workflow; an assistant’s confident wording is not proof that an action succeeded.

What happens after handover?

Confirm who owns the accounts, maintains approved information and responds when a connection changes. The proposal should describe documentation, training, support scope and any recurring fees. Monitoring, future improvements and response times need an explicit agreement; they are not automatically included in every build.

How do we know the workflow is worth keeping?

Record a baseline before the pilot, then compare completion time, accuracy, rework and running costs on representative tasks. Include the time staff spend checking results. Decide together whether to refine, expand or stop the workflow.

More questions about business AI · Ask the Lumin team

LET’S FIND THE USEFUL NEXT STEP

Ask about AI integration.

Share your business, the challenge you’re facing and what you’d like to improve. Our team will follow up using the email address you provide.

Ask Lumi first Lumin’s AI assistant can help you explore your inquiry before you send it.

Prefer to talk directly?
Email Lumin · Call (825) 967-9337
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