Flexible services that
deliver real results

From idea to execution, we help you design, build, and optimize digital products that drive adoption, loyalty, and revenue. Partner with senior experts across product design, growth, strategy, and development — flexibly and impactfully.

Flexible services that
deliver real results

From idea to execution, we help you design, build, and optimize digital products that drive adoption, loyalty, and revenue. Partner with senior experts across product design, growth, strategy, and development — flexibly and impactfully.

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Success story: real-time AI-driven ticket triage across 5,000+ remote sites

AI-driven automation turned manual ticket triage across 5,000+ sites into a real-time, intelligent support system

Client introduction

A global technology provider responsible for over 5,000 remote infrastructure sites faced growing challenges in its support operations. These locations — spread across varying geographies — depended on reliable internet connectivity and required swift technical responses. The support desk received a constant influx of service requests, often vague and unstructured, coming in through web portals, APIs, email, and phone calls. Support staff had to manually read, interpret, tag, prioritize, and assign each ticket — leading to delays, errors, and mounting operational fatigue.

Client
Confidential Client
Service
AI products
Industry
AI & digital interfaces
Duration
6 weeks

Project challenge

The aim was to develop a fully autonomous, AI-powered support workflow that would:

  • Extract and validate the correct remote location ID and asset type from each request.
  • Update the company’s internal ticketing system within seconds of the request being received.
  • Automatically assign the ticket to the appropriate team or engineer.
  • Determine the correct priority level based on context, triggering the right SLA response path.
  • Feed structured, clean data into centralized systems for monitoring, performance analysis, and trend detection

Solution
overview

Using n8n for process orchestration and OpenAI's language model for semantic intelligence, the solution delivered a seamless and modular automation pipeline

< 15 s

time to classify & assign ticket

95%

internal support satisfaction

96%

SLA compliance rate

Design thinking
in action

01

Multi-channel ingestion

Each service request — regardless of whether it originated from email, phone transcription, API call, or web form — was routed into a centralized Webhook, launching the automated workflow instantly.

02

Natural language understanding & context extraction

An embedded AI agent analyzed incoming request content to:

  • Identify the specific asset involved (e.g., router, satellite modem, signal booster).
  • Normalize the location description and match it to one of the 5,000+ known remote sites.
  • Determine issue urgency using language patterns, service impact terms, and historical context to assign a priority level (Critical, High, Normal, Low).
03

Structured output enforcement

Through a Structured Output Parser, the AI’s output was validated and formatted with guaranteed consistency — preparing it for immediate system integration.

04

Instant ticketing system update

In less than 15 seconds, the enriched and validated data was posted directly to the internal ticketing system, populating:

  • Location ID and asset tags
  • Assigned team or department
  • Ticket category and priority
  • SLA trigger status and escalation flags
05

Operational intelligence and reporting

Each ticket also fed into a Google Sheets-based monitoring layer, allowing for:

  • Real-time dashboards of service volumes by location
  • SLA tracking and trend surfacing
  • Identification of recurring issues or underperforming assets

Key learnings

Intelligent triage drives efficiency

AI-powered ticket classification drastically reduces manual effort, enabling real-time routing and faster issue resolution

Automation with context works better

Using natural language understanding and historical patterns ensures tickets are enriched with the correct priority, location, and asset type

Modular setup enables scalable operations

A flexible, step-based architecture—built on tools like n8n and OpenAI—allows seamless scaling across thousands of remote sites

Conclusion

Building on this success, the organization is now scaling the platform further by introducing predictive ticket generation based on infrastructure telemetry, automated ticket status updates with SLA renegotiations, and root cause trend analysis across asset and location clusters — all powered by the same flexible, AI-first agent architecture.

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Let’s clear it up

What is AI automation, exactly — and what can you build?
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AI automation means using large language models (like GPT-4) to handle repeatable tasks inside your business. We design and build custom agents that can qualify leads, summarize content, route tickets, trigger workflows, or power internal copilots.

Do you only work on AI and automation projects?
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Not at all. While we specialize in building intelligent systems, we also offer full-service UX/UI and product design — from discovery to delivery. Many of our clients come to us purely for design support, with or without AI.

What kind of companies do you usually work with?
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We collaborate with startups, scale-ups, and enterprise teams across fintech, SaaS, healthcare, e-commerce, logistics, and more. Whether you’re building your first product or scaling a complex system, we adapt to your stage and stack.

Can you help us design or improve our existing product interface?
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Absolutely. We run UX audits, onboarding redesigns, and complete product design engagements. Whether you're looking to clean up a dashboard, increase activation, or launch a new feature — we’ve got the design depth to support it.

Can you integrate AI agents into our current tools or workflows?
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Yes — that’s the core of what we do. We build agents that connect directly to your tools (Slack, Notion, HubSpot, CRMs, internal platforms), automate actions across them, and fit how your team already works. No need to change your stack.

Do we need technical staff to manage these AI agents?
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No — we design every system to be maintainable without in-house ML engineers. We handle the technical setup, logic, and integrations, and offer optional support plans to monitor and optimize performance post-launch.

What if we want to start with just design — or just automation?
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That’s totally fine. You can engage us for standalone UX/UI work, product discovery, or AI automation — or combine them. We’re built to plug into your priorities and scale with your roadmap.