Please describe your company, your role, and the industry you operate in.
Highland FinTech Ltd has been operating in Gaming & Gambling for a while now, headquartered in Glasgow, UK. As Chief Technology Officer 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 Gaming & Gambling, 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?
Full AI & Machine Learning delivery, with particular depth on the integration and data migration pieces — the riskiest parts of the whole program. On top of that, they kept a dedicated QA person on the project throughout and left our operations team with a proper runbook at handover.
Why did you choose this company over other providers you considered?
We shortlisted five vendors through a structured process. The technical review knocked two out right away. Of the remaining three, this team stood out because their AI & Machine Learning approach was specific rather than generic, backed by actual reference projects in Gaming & Gambling — not just case studies pulled off a website. The reference calls confirmed everything the proposal claimed.
How clearly did the company understand your requirements and business goals?
Really well, partly because they already had Gaming & Gambling experience that cut down on the amount of context we had to provide. They knew the terminology, asked the right questions, and translated our business requirements into technical specs accurately enough that development barely needed any clarification cycles.
How was your overall experience with their communication and project management?
Genuinely excellent, especially given the time difference between Glasgow, UK and the delivery team. Written updates were consistent and specific, anything needing a decision got same-day turnaround, and nothing slipped through the cracks across the whole engagement.
Did the company deliver the project on time and within your expected budget?
Both, yes. One sprint hit a one-week delay from a third-party API dependency outside anyone's control. The team flagged it three weeks ahead of time, laid out two options, and we picked an approach that clawed the schedule back within the same sprint. That's the kind of foresight that separates real project management from just reacting to problems.
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?
Yes, no hesitation. I've already referred them twice within my own Gaming & Gambling network, both times to people facing AI & Machine Learning problems similar to ours. I made those referrals confidently because I know the experience I had was repeatable, not a one-off stroke of luck on our project.