Skip to main content

Case studies

Real problems, example solutions.

How AI automation, web development, customer support and digital marketing projects come together in practice — the problem, the approach and the stack, laid out the way we'd scope it with you.

These are illustrative examples

The 5 projects labelled “Illustrative example” are scenarios based on the work we do, not real client engagements, and don't quote results. Anything marked “Client result” is real and published with the client's permission.

Example projects

5 projects shown.

  • 01AI Automation · Logistics

    AI Workflow Automation for Logistics Company

    Illustrative example

    Stack

    • n8n
    • REST APIs
    • Google Maps API
    • Slack
    Challenge
    Manual dispatch coordination and status updates created delays and communication gaps across delivery routes, with dispatchers re-entering the same information across multiple systems.
    Approach
    Automated route assignment, real-time status updates, and exception alerts connected directly to the dispatch team's existing tools, removing manual re-entry at every handoff.
    Intended outcome
    Reduced repetitive coordination work and fewer missed status updates across the dispatch team.
    What success looks likeExpected, not measured
    Faster dispatch turnaround and more consistent, timely delivery communication.
    Discuss a similar project
  • 02Website Development · Professional Services

    Website Redesign for Professional Services Firm

    Illustrative example

    Stack

    • Next.js
    • React
    • Tailwind CSS
    • Supabase
    Challenge
    An outdated website was slow to load, difficult for the internal team to update, and wasn't generating qualified inbound inquiries.
    Approach
    A modern, fast-loading site rebuilt on Next.js with a clear conversion path for prospective clients and a content system the internal team can manage without a developer.
    Intended outcome
    Improved lead quality and a website the internal team can maintain independently.
    What success looks likeExpected, not measured
    More qualified inquiries and a noticeably faster, more professional site experience.
    Discuss a similar project
  • 03Customer Support · SaaS

    AI Customer Support for SaaS Startup

    Illustrative example

    Stack

    • AI Chatbots
    • Helpdesk
    • CRM Sync
    • Omnichannel Routing
    Challenge
    A small support team couldn't keep pace with ticket volume as the product scaled, leading to slower response times and rising customer frustration.
    Approach
    An AI-powered support layer that answers common questions instantly, with clear escalation paths that hand off complex issues to the human team with full context attached.
    Intended outcome
    Reduced response times and freed the support team to focus on complex, high-value conversations.
    What success looks likeExpected, not measured
    Faster first-response times and greater ticket capacity without adding headcount.
    Discuss a similar project
  • 04AI Automation · B2B Sales

    CRM Automation for Sales Team

    Illustrative example

    Stack

    • n8n
    • CRM APIs
    • Make
    • Email Automation
    Challenge
    Sales reps were manually updating CRM records after every call, and follow-ups were regularly falling through the cracks during busy weeks.
    Approach
    Automated lead capture, CRM record updates, and follow-up sequencing connected directly to the sales team's existing pipeline and calendar.
    Intended outcome
    Reduced manual data entry and more consistent, timely lead follow-up across the team.
    What success looks likeExpected, not measured
    Fewer leads slipping through the pipeline and more selling time for reps.
    Discuss a similar project
  • 05Digital Marketing · eCommerce

    Marketing Automation for Ecommerce Brand

    Illustrative example

    Stack

    • Meta Ads
    • Email Marketing
    • GA4
    • Tag Manager
    Challenge
    Cart abandonment and inconsistent post-purchase follow-up emails were costing the brand potential repeat sales.
    Approach
    Automated email and retargeting sequences triggered by real customer behavior, tied to clear analytics tracking across every channel.
    Intended outcome
    Increased recovered carts and more consistent customer follow-up after purchase.
    What success looks likeExpected, not measured
    Higher conversion rates from existing traffic and clearer visibility into what drives sales.
    Discuss a similar project

Have a similar problem to solve?

Book a free strategy call and we'll talk through what a project like this could look like for your business — scope, stack and timeline.

Book a free strategy call