Automation, applied.

Selected AI
automation projects.

From voice support to back-office workflows, we build AI systems to reduce manual work and help teams respond faster.

Explore the solutions

Representative solutions. Clear business problems. Practical ways to measure value.

The solution portfolio

Real workflows.
Useful automation.

Explore representative solution concepts: the business problem, the approach, and the intended value. These are illustrative examples, not completed client engagements. Results depend on your workflow and are measured during delivery.

Customer support / Voice AI

AI voice support agent

Answer routine calls. Give your team the conversations that need them.

Intended value

Shorter waits, less repetitive work, and coverage beyond office hours.

Explore the workflow: AI voice support agent
Support conversationIntent: delivery address change

Caller“Can I change the delivery address on my order?”

Voice agent“I can check that. If it has already shipped, I’ll bring in our support team.”

Human handoff

Order dispatched. Context and request passed to support.

From caller intent to human handoffIllustrative interface · sample data
The problem
Repetitive inbound calls and basic account questions fill the support queue while complex cases wait.
The solution
A voice agent uses approved knowledge to answer common questions, capture intent, and route requests. Sensitive or uncertain cases go to a person with the conversation context.
What to measure
Routine calls resolved without a handoff, wait time, escalation accuracy, and customer satisfaction.
Helpdesk / Operations

Support ticket triage & routing

Turn a busy inbox into a queue with clear priorities and owners.

Intended value

Faster first responses and more consistent prioritization.

Explore the workflow: Support ticket triage & routing
Incoming → assignedTicket routing
  • Charged twice for my subscriptionBilling · High priority
    Billing team
  • How do I invite a teammate?Account · Standard
    Product support
  • Something is wrong with my accountUnclear intent
    Human review

Low-confidence requests stay with a person.

A support queue with clear ownersIllustrative interface · sample data
The problem
Manual tagging and routing delay the first response and leave urgent requests buried in the queue.
The solution
An AI workflow identifies intent and urgency, adds relevant context, and assigns tickets using your support rules. Ambiguous cases stay in a review queue.
What to measure
Time to assignment, routing accuracy, manual corrections, and SLA adherence.
Sales / Qualification

Sales lead qualification agent

Give sales a useful lead profile before the first conversation.

Intended value

Less qualification admin and quicker follow-up on relevant opportunities.

Explore the workflow: Sales lead qualification agent
Inbound inquiryFollow-up prepared
“We need to route support requests into our existing CRM.”
Workflow
Support ticket routing
Integration
Existing CRM
Decision owner
Operations team
Still to confirm
Volume & budget
Context organized for the first sales conversation.
An inquiry becomes a structured leadIllustrative interface · sample data
The problem
Sales teams spend time sorting incomplete inquiries and chasing leads that do not fit.
The solution
The agent extracts requirements, asks for missing information, and evaluates fit against agreed criteria. Structured profiles and the reasons behind each assessment go into your CRM.
What to measure
Time to qualification, profile completeness, sales acceptance, and follow-up speed.
Knowledge / Productivity

Internal knowledge assistant

Find the right policy, process, or answer without hunting through folders.

Intended value

Faster access to useful information and fewer repeated questions.

Explore the workflow: Internal knowledge assistant
How do I submit an expense?
Source-backed answer

Upload your receipt and choose the expense category. Your manager reviews the request before it reaches finance.

Example expenses policy · §3.2
Answers reference approved documents the user can access.
An answer with a source attachedIllustrative interface · sample data
The problem
Knowledge is scattered across documents and systems, so the same questions interrupt the same people.
The solution
A retrieval-based assistant searches approved sources, respects access permissions, and links answers to the original documents. It flags missing evidence instead of guessing.
What to measure
Time to find an answer, source accuracy, unanswered questions, and repeat requests.
Finance / Back office

Invoice & document processing

Move business documents from the inbox to structured, checked records.

Intended value

Less manual entry, consistent records, and faster exception handling.

Explore the workflow: Invoice & document processing
Document → checked record
Sample invoiceINV-DEMO
Subtotal
€1,200
VAT
€240
Total
€1,440
Extracted fields
Invoice IDINV-DEMO
Total€1,440
Supplier matchNeeds review

Totals validated. Supplier exception held for review.

Extraction with an exception to reviewIllustrative interface · sample data
The problem
Copying invoice and form data by hand slows processing and introduces avoidable errors.
The solution
OCR and AI extraction capture document fields. Validation rules check required data, totals, and duplicates before records reach business systems; exceptions go to human review.
What to measure
Processing time per document, field accuracy, exception rate, and manual touches.
Analytics / Customer experience

Customer feedback analytics

See recurring customer problems across conversations, reviews, and feedback.

Intended value

Earlier visibility into recurring issues and clearer priorities for improvement.

Explore the workflow: Customer feedback analytics
What customers mentionSample conversation counts
Delivery updates12
12
Billing questions8
8
Account setup5
5
Theme to investigate

Customers repeatedly ask where to find delivery updates.

Linked back to source conversations
Conversation themes, made visibleIllustrative interface · sample data
The problem
Useful signals are hidden in free-text feedback that teams cannot consistently review at scale.
The solution
An analysis pipeline groups themes, highlights sentiment, and creates summaries linked to source conversations. Teams can inspect the evidence before acting.
What to measure
Review time, theme accuracy, time to surface an issue, and follow-through on findings.
Sales / CRM

CRM follow-up automation

Keep the next step visible and the follow-up ready to review.

Intended value

More consistent follow-up and less time maintaining the pipeline.

Explore the workflow: CRM follow-up automation
Opportunity activityReview required
  1. Conversation logged

    Requirements saved to the CRM.

  2. Follow-up drafted

    Next step based on the conversation.

  3. Awaiting your approval

    Your team decides what gets sent.

Example draft · not sent

Thanks for sharing your workflow. Could you confirm which tools we need to connect before we scope the next step?

From conversation to approved next stepIllustrative interface · sample data
The problem
Busy teams miss follow-ups, repeat data entry, and lose the context behind a deal.
The solution
A connected workflow identifies next actions, drafts contextual messages, and updates CRM records. Your team controls approvals, timing, and which messages get sent.
What to measure
Overdue follow-ups, CRM completeness, draft acceptance, and admin time per opportunity.
E-commerce / Customer experience

E-commerce inquiry assistant

Handle everyday order questions with the context customers expect.

Intended value

Quicker answers and more capacity for complex customer requests.

Explore the workflow: E-commerce inquiry assistant
“Where is my order?”
Example order #DEMO-104In transit
  1. Confirmed
  2. Packed
  3. Shipped
  4. Delivered
Context-aware reply

Your order is on its way. The latest carrier update shows it is in transit. I can help you find the tracking details.

Order information after identity checks; exceptions go to support.

An answer connected to order contextIllustrative interface · sample data
The problem
Order tracking, returns, and product questions consume support time during busy periods.
The solution
An assistant connects approved product and order information to customer conversations. It verifies identity where needed and routes exceptions or approval-dependent actions to the team.
What to measure
Resolution time, answer accuracy, handoff rate, and customer satisfaction.

How we approach automation

Start with the work.
Build around your team.

A clear process from the first repetitive task to a working system with measurable impact.

  1. 01

    Find the repetitive work

    Choose a workflow with enough volume, friction, or cost to make a meaningful difference.

  2. 02

    Design the right process

    Map the inputs, decisions, and exceptions. Agree where AI helps and where a person stays in control.

  3. 03

    Connect your existing tools

    Build around the systems your team already uses, with clear permissions and handoffs.

  4. 04

    Measure, then improve

    Compare against the starting point. Review accuracy, time saved, and exceptions before expanding.

Across the business

Where automation
creates value.

Customer-facing or behind the scenes, the starting point is the same: work your team should not have to repeat.

Customer support

Voice agents, ticket routing, and inquiry handling

Sales

Lead qualification and consistent follow-up

Operations

Triage, structured handoffs, and connected workflows

Finance

Document capture, validation, and exception review

Knowledge management

Searchable policies, SOPs, and internal answers

Analytics

Conversation themes and customer feedback insights

Why Artifimo

Useful in practice.
Built to fit.

The goal is a system your team can use, understand, and improve.

See how we work

  • Start with a business problem

    Pick the work worth improving, then choose the technology that fits.

  • Make it work in your environment

    Combine AI, automation, and integration around the tools and constraints you already have.

  • Prototype with a clear purpose

    Test the risky assumptions early, then build toward a usable workflow.

  • Define what better looks like

    Agree on practical measures of time, cost, and quality, with human review where it matters.

Put your next workflow on the table.

Have a workflow
worth automating?

We help teams identify high-value automation opportunities and turn them into working AI systems.

Discuss your use case