Please describe your company, your role, and the industry you operate in.
Lumen Media Collective is a Human Resources business headquartered in San Diego, USA. As Chief Product Officer I'm responsible for the whole technology agenda — infrastructure, product, and how we pick vendors. Every decision we make on the technology side has to tie back to a clear business case before it gets approved.
What specific problem or business challenge led you to hire this company?
Our AI & Machine Learning capability had become the thing slowing everything else down. New feature requests, client asks, internal initiatives — all of it kept queuing up behind a platform that had been stretched way past what it was originally built for. We needed a proper rebuild, not another patch.
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?
The questions they asked during the briefing stage told us most of what we needed to know. Vendors who ask sharp questions during sales tend to bring that same rigor into delivery, and that held up. The technical proposal had real substance, the team was senior from the start, and the pricing was straightforward.
How clearly did the company understand your requirements and business goals?
Thoroughly. The requirements document was detailed enough that our own QA team used it directly to build acceptance criteria. Every user story had a clear business reason attached, and nothing was left open to interpretation. That discipline early on paid off through the rest of development and testing.
How was your overall experience with their communication and project management?
Genuinely excellent, especially given the time difference between San Diego, USA 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?
The team stayed the same the whole way through. The engineers in the discovery sessions were the same ones who built the system. That continuity matters more than people expect, and you really only notice it when it's missing. Every conversation picked up where the last one left off.
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 Human Resources 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.