Please describe your company, your role, and the industry you operate in.
Liffey Tech Solutions Ltd has been operating in Manufacturing for a while now, headquartered in Cork, Ireland. As VP of Engineering I sit across both strategic planning and day-to-day technology delivery. We hold our vendors to a high bar because our own clients hold us to one — it's only fair to expect the same discipline from partners.
What specific problem or business challenge led you to hire this company?
We had a clear product direction for our next stage of growth in Manufacturing, but not the internal engineering depth to actually execute it. The AI & Machine Learning piece specifically needed specialist skills we couldn't realistically hire for on the timeline our business plan demanded.
What services did the company provide for your project?
Mainly AI & Machine Learning, with some adjacent architecture and QA work folded in. They owned the whole thing from requirements to go-live, including hooking it into four of our existing systems. Not needing a second vendor to cover that ground was genuinely useful, both cost-wise and logistically.
Why did you choose this company over other providers you considered?
We were coming off a failed engagement and went into vendor selection this time with a lot more scrutiny. We asked pointed questions about how they handle scope changes, how they estimate, how they communicate bad news. The answers were specific and consistent across everyone we spoke to on their team, which gave us confidence it wasn't a rehearsed pitch.
How clearly did the company understand your requirements and business goals?
Very well. The discovery phase was more thorough than anything we'd been through with prior vendors. They pushed back on requirements that were vague or contradictory, suggested better alternatives where our own thinking was limited, and produced a spec our internal stakeholders agreed was the clearest version of the product they'd ever seen written down.
How was your overall experience with their communication and project management?
The most structured project management I've dealt with from any outside vendor. Sprint planning was tight, acceptance criteria were specific, and retrospectives actually led to changes rather than just being a box to tick. The backlog and risk register were both treated as live tools, not paperwork. I never once had to chase a status update.
Did the company deliver the project on time and within your expected budget?
Yes to both. I'd quietly built in some contingency given the complexity and the number of integrations involved, and none of it ended up being needed. Delivery landed on the agreed date and the final invoice was within a rounding error of the approved budget — rarer than most people in this industry would admit.
What tangible results or business impact have you seen since the project was completed?
Hard to isolate perfectly given everything else going on in the business, but the numbers we can attribute directly to the AI & Machine Learning work are solid: session duration up, conversion up, error rate down, and our NPS for that touchpoint has moved noticeably. Our account managers say it's coming up positively in client conversations now too.
What did you like most about working with this company?
What they did after launch. A lot of vendors treat go-live as the finish line. This team treated it as the start of a different phase — the hypercare period was substantial, the documentation held up in practice, and they checked back in at the thirty and ninety day marks to go over production metrics with us unprompted.
Would you recommend this company to others, and would you work with them again?
Without reservation. We're already in early conversations about a second engagement, and I expect this to turn into a multi-year relationship. Anyone in Manufacturing looking for real AI & Machine Learning depth paired with actual delivery discipline should have this team near the top of their list.