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AI Automation

AI automation for repetitive workflows

AI automation is the use of AI to run work steps that need language or pattern understanding: classifying requests, summarizing conversations or recommending the next action, then passing the result to existing systems with human approval where required.

AI Workflow Automation

  • Automatic classification and routing
  • Summaries and recommendations
  • Human approval for important steps
  1. 01Incoming request
  2. 02AI classification
  3. 03Business rules
  4. 04Approval
  5. 05Target system

Business problems

Business problems we solve

Requests are sorted by hand

Incoming emails and tickets are read one by one before being forwarded to the right team.

Slow responses at peak times

Request queues build up because the first step depends on people.

Routine decisions are inconsistent

Categories and priorities are set differently by every staff member.

What we build

What we build

  • 01

    AI Workflow Automation

    AI steps embedded in existing workflows, with human approval where required.

  • 02

    Classification / Recommendation Engine

    Categorize data and recommend actions based on historical patterns.

  • 03

    Automatic Summarization

    Automatic summaries of reports, emails and long conversations.

  • 04

    Speech-to-Text & Meeting Transcription

    Recordings become text, summaries and follow-ups.

Example applications

Example applications

  • Request routing

    Incoming emails and tickets are classified and forwarded to the right team.

  • Ticket prioritization

    High-impact tickets are flagged first based on content and history.

  • Vendor recommendations

    Vendor suggestions based on purchase history and performance.

Architecture & approach

Architecture & approach

AI handles repetitive steps while risky decisions stay with people.

  1. 01

    Map the workflow

    Decide which steps are safe to automate and which stay manual.

  2. 02

    Build AI steps

    Models, instructions and business rules for each step.

  3. 03

    Test with historical data

    Compare AI results with past staff decisions.

  4. 04

    Staged rollout

    Start in suggestion mode, then fully automate cases with proven accuracy.

Technology & integration

Technology & integration

  • Python
  • LLM API integration
  • Queues & background jobs
  • REST API
  • Service desk & ERP integration

Deployment

Deployment models

Option Description Best for
Suggestion mode AI suggests, staff still decide.
  • Early implementation
  • High-risk processes
Automated with exceptions AI processes routine cases; uncertain cases go to staff.
  • High volumes
  • Proven accuracy

FAQ

Frequently asked questions

Does AI automation replace staff?
No. AI takes over repetitive steps while staff focus on exceptions and important decisions.
What if AI misclassifies?
Every result has a confidence score. Uncertain results go to staff, and their corrections improve the next iteration.

Ready to discuss your requirements?

Tell us about your context and goals. We will help map the solution, priorities and an initial estimate.