Development & platform
Product & storefront features
Useful AI in commerce is anchored to your catalog, your performance budget, and the workflows your team can maintain — not a slick demo that falls over under real traffic.
How we approach it
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1
Use-case framing
Where automation helps customers decide faster — and where human review is non-negotiable.
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2
Rules & safety boundaries
Catalog constraints, brand voice, and guardrails for recommendations and guided selling.
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3
Implementation & measurement
Instrumentation so you can compare before/after on conversion, margin, and support load — not “engagement” alone.
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4
Operational handoff
Runbooks for tuning, rollback, and seasonal merchandising changes — owned by Titan engineers at our headquarters.
Best practices
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Start from customer jobs-to-be-done
If the feature does not shorten path-to-purchase or reduce support load, question the build.
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Budget latency and cost
Model inference and third-party calls are part of your performance story.
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Keep humans in the loop for high-stakes outputs
Returns policy answers and B2B quotes are not “set and forget” generation targets.
Irish Titan’s methodology starts with business first, online second — partnerships over transactions, then the platforms and marketing that ship outcomes. As a full-service agency we bring UX, design, and business process consulting alongside engineering and launch in the same delivery thread when your program needs it. We operate a Titan-only delivery model: the people doing the work are direct Irish Titan employees from our headquarters, not contractors or outsourced pods.
Read full approach on irishtitan.comContact us
Questions about Product & storefront features or your broader program? We read every message and respond quickly—your note goes to the same Titan-only team: Irish Titan employees from our headquarters, not contractors.
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