G2

philip m.

Small-Business (50 or fewer emp.)

8/4/2026

"CEO"

5/5

What do you like best about BlueLabel?

The Microsoft-native approach was a significant advantage — BlueLabel built directly within our existing environment (Copilot Studio, Power Automate, SharePoint, Outlook, and Teams), which eliminated the friction of introducing new platforms and made adoption far more practical for our team. The SPRINT-based discovery process was also highly effective; it gave us a structured way to map workflows, surface real pain points, and prioritize use cases before any build began — so we weren't wasting time on the wrong problems. The two pilots delivered tangible, usable outputs: a reporting assistant that generates structured first drafts and a Risk incident workflow that automates intake and improves visibility. BlueLabel also prioritized capability transfer throughout the engagement, which means we're better positioned to scale independently. Review collected by and hosted on G2.com.

What do you dislike about BlueLabel?

Nothing significant to report at this stage. If anything, the pace of the engagement required consistent internal availability to participate in working sessions and testing cycles — which is manageable but worth flagging for teams with limited bandwidth. As the pilots move toward broader adoption, the real test will be whether the tools scale effectively across the organization, but that is more an execution challenge ahead than a reflection of BlueLabel's work to date. Review collected by and hosted on G2.com.

Recommendations to others considering BlueLabel:

Come in with a clear sense of where your team's time is being lost to repetitive, manual work — the more specific you can be about your pain points upfront, the more value you'll get out of the SPRINT discovery process. BlueLabel's methodology is structured and efficient, but it works best when your internal stakeholders are available and engaged throughout the working sessions.

Also, don't underestimate the importance of building within your existing technology stack. One of the strongest aspects of our engagement was that BlueLabel worked entirely within Microsoft's ecosystem, which reduced resistance to adoption significantly. If your organization is already Microsoft-native, that's a meaningful advantage going in.

Finally, go in focused on pilots, not a full transformation. BlueLabel's approach of co-building targeted, testable solutions before scaling is the right way to build organizational confidence in AI — and it's what separates a successful implementation from a stalled one. Review collected by and hosted on G2.com.

What problems is BlueLabel solving and how is that benefiting you?

BlueLabel is solving the gap between AI interest and actual AI adoption within our organization. Like many leadership teams, we recognized the potential of AI but lacked a structured path to operationalize it — BlueLabel's SPRINT-based discovery process helped us move quickly from curiosity to real, prioritized workflows.

On the operational side, two specific problems stood out: the volume of time our team spends on quarterly Asset Management reporting, and the manual burden of Risk incident intake and review. BlueLabel is helping us target both — with a goal of reducing reporting time by up to 50% and automating repetitive intake steps that consume team bandwidth without adding strategic value.

The biggest benefit has been building organizational confidence. Rather than open-ended experimentation, BlueLabel structured the engagement around real pilots with measurable outcomes — which is what leadership needs to commit resources and drive adoption across the team. Review collected by and hosted on G2.com.