Civil engineering firm
A civil engineering firm had tried to use AI on its own and made no progress. After putting its AI rules in writing, the team built proposal and contract review assistants around its own documents. A proposal draft that took four to eight hours now takes one to two, and the president spends half the time he used to on contract review.
Read the case studyCommercial real estate firm
A commercial real estate firm’s fund accounting team rebuilt its Monday cash report in its first working session. A week later, it ran on its own every time new bank files arrived, and the only work left each Monday is reviewing what it flags. The development team saved two to three hours on its first AI-drafted construction draw memo.
Read the case studyTravel company
At a travel company, the incentives team now builds a trip pricing model in an hour instead of a week. Operations cut a week of monthly expense reconciliation and advisor statements to a few hours, and marketing cut its content calendar prep from hours to 30 minutes.
Read the case studyRegulated service organization
Operations managers at a regulated service organization spent hours each month pulling data from as many as 17 sources into their reports. With data rules built into Claude first, they rebuilt that reporting around the decisions they make. The manual data work is gone, and the whole operations team now builds dashboards the same way.
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“Oplos Consulting helped our firm integrate AI into our day-to-day processes in a practical and manageable way. As a small engineering company, we needed solutions that actually fit how we work, not theoretical concepts, and Oplos delivered. Andrew took the time to understand our business, identified real opportunities for improvement, and helped us implement AI tools that are already increasing efficiency and consistency. We’ve been very pleased with his service and would highly recommend Oplos Consulting.”
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