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AI Solutions & AI Portals

Practical AI that fits how your business actually works

We build branded AI portals, knowledge assistants, and intelligent workflows that connect to your documents and systems — with security, admin control, and honest limits. Not hype. Not a generic chatbot dropped on your homepage.

At a glance
  • Custom AI portals
  • RAG & knowledge bases
  • Secure integrations
  • Admin dashboards
  • Usage analytics
Regina local page

Problems we help solve

Answers live in too many places

Policies, product notes, and tribal knowledge sit in drives, inboxes, and people’s heads. Staff waste time searching — and customers get inconsistent answers.

Repetitive intake eats the day

Quote requests, triage, and first-line support questions follow patterns. Doing them by hand every time does not scale, but off-the-shelf bots often ignore your real process.

SaaS tools stop at your edge cases

Standard AI products help until you need your branding, your permissions, your data residency questions, or a workflow that only exists inside your company.

What this service can include

Examples of work we scope — not a catalogue of finished products. Every engagement is tailored after discovery.

Scope block 01

AI knowledge portals

What it is

A branded portal where staff or customers ask questions grounded in your approved documents and knowledge base.

Who it helps

Teams with SOPs, handbooks, product docs, or internal wikis that change often.

When it fits

When search alone fails and people need answers with sources they can trust.

What we need

Clean source documents, ownership of updates, and a clear “who can see what” model.

Scope block 02

Assistants for intake and support

What it is

Guided conversations that collect the right details, answer common questions, and hand off to a human with context.

Who it helps

Service businesses, clinics, contractors, and B2B teams with predictable enquiry types.

When it fits

When after-hours volume or repetitive FAQs slow response times.

What we need

Approved answer scripts, escalation rules, and a place for leads to land (CRM or inbox).

Scope block 03

Workflow copilots

What it is

Tools that draft summaries, structure notes, or prepare next steps from structured inputs — with a human in the loop.

Who it helps

Operations and admin teams drowning in tickets, emails, or form submissions.

When it fits

When speed matters but mistakes are costly — AI drafts, people approve.

What we need

Clear success criteria, sample data, and review workflow ownership.

Scope block 04

Integrations with your stack

What it is

Connections to CRMs, helpdesks, databases, or internal APIs so the AI uses live context instead of stale copy-paste.

Who it helps

Businesses already running tools they do not want to abandon.

When it fits

When value depends on pulling or writing data from systems you already pay for.

What we need

API access, sandbox credentials, and a map of allowed actions.

Typical deliverables

  • Discovery workshop and written scope
  • Solution outline (user roles, data sources, success metrics)
  • Branded portal or assistant interface
  • Knowledge/source ingestion plan
  • Admin controls for content and access
  • Basic usage analytics
  • Handover documentation and training session

Optional extras

  • · Deeper CRM or ERP integrations
  • · Multi-language interfaces
  • · Advanced analytics dashboards
  • · Ongoing content curation retainers
  • · Human review queues for sensitive replies

Business benefits

  • Faster first answers

    Customers and staff get consistent responses without waiting for someone to dig through folders.

  • Less repetitive work

    Your team spends time on exceptions and relationships — not copying the same paragraph for the tenth time.

  • Controlled knowledge

    You decide which sources the system can use and who can update them.

  • Room to grow

    Start with one workflow, prove value, then expand — instead of a giant “AI transformation” project with no focus.

Who this is for

  • Canadian SMBs and mid-market teams with clear, repeated questions or processes
  • Companies with enough documentation to ground answers (or willingness to create it)
  • Leaders who want AI with oversight, not a black box

When it may not fit

Saying no early saves everyone time.

  • · Teams seeking guaranteed autonomous decisions with no human review
  • · Projects with no usable data or no owner for content quality
  • · One-off novelty demos with no operational path after launch

How projects usually run

  1. 01

    Discovery call

    We clarify the problem, users, systems, and what “good” looks like — including what AI should not do.

  2. 02

    Requirements and risks

    Data sources, privacy constraints, integrations, and failure modes are written down before build starts.

  3. 03

    Proposal and milestones

    You get a scoped proposal with deliverables, assumptions, and a realistic sequence — not a vague “AI package.”

  4. 04

    Build and integrate

    We design the experience, connect sources, and implement admin controls in iterative reviews.

  5. 05

    Test with real scenarios

    We probe for weak answers, unsafe outputs, and handoff gaps using your actual questions.

  6. 06

    Launch and handover

    You receive documentation, training, and a clear ownership model for content and monitoring.

Approach & technology

We favour architectures that keep you in control: retrieval over your approved content, explicit permissions, logging, and human escalation. Model choices depend on latency, cost, and privacy needs — we discuss trade-offs instead of locking you into a buzzword.

  • Modern web portals (React / Next.js)
  • API integrations and webhooks
  • Document / knowledge retrieval patterns
  • Auth and role-based access
  • Admin dashboards and usage metrics
  • Cloud hosting with monitored deployments

Pricing & scope

AI projects are quoted from requirements — complexity, data preparation, integrations, and review workflows drive cost more than the model brand. Indicative market ranges for custom business AI tools vary widely; we provide a written estimate after discovery. Published Scarlett offers on the homepage may apply when they match scope. No ranking or savings guarantees.

Custom quote

Why Scarlett Digital Studio

Based in Regina, Saskatchewan — serving Canadian businesses with clear scopes and direct communication. No invented offices, awards, or guarantees.

  • Based in Regina, SK — we serve Canadian businesses with clear scopes and direct communication
  • We design for operations, not demos: branding, admin, and handover are part of the work
  • We say no when a simpler automation or SaaS tool is the better first step
  • Security and privacy are design inputs, not afterthoughts

Frequently asked questions

What does “AI solutions” mean for a small business?

Usually a focused tool: a knowledge assistant, intake helper, or workflow copilot trained on your content and process — not a general chatbot that invents answers.

When is custom AI better than a standard SaaS tool?

When you need your branding, permissions, data sources, or a workflow that off-the-shelf products cannot match without brittle workarounds.

Can AI connect to our existing systems?

Often yes, when APIs or exports exist. We map allowed actions carefully so the assistant cannot do more than you intend.

How do you handle privacy and inaccurate answers?

We limit sources, design for citation or “I don’t know” behaviour where possible, and keep humans in the loop for sensitive actions. PIPEDA and your internal policies shape the design.

What do we need before requesting a quote?

A clear problem statement, who will use the tool, sample documents or tickets, systems involved, and who owns ongoing content quality.

Who owns the solution after launch?

You own your content, accounts, and agreed code/deliverables per the written proposal. Third-party model providers remain separate vendors with their own terms.

Do you guarantee cost savings or fully autonomous results?

No. We design for measurable improvements in speed or consistency where we can track them, with honest limits and human oversight.

Ready to talk through your project?

Tell us what you are trying to solve. We will respond with clarifying questions and, when it is a fit, a clear next step — proposal, discovery call, or honest redirect if another approach is better.

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