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The people in the contract are the people in the room.
Every Rockmere consultant clears four checks each quarter before joining client work. First, active certifications verified against the public registries. Second, recent delivery inside the last 12 months, not three years ago. Third, industry depth tagged on the profile. Fourth, cultural fit, which is harder to hire for than the credential. Practitioners who clear only the first three stay in the practice and off your engagement.
A Rockmere pod is a small group of named senior consultants matched to your scope, not a roster of rotating associates. A four-person AI Transformation pod for a financial services client tends to look like this. Lead Principal with SAFe SPCT, AWS ML Engineer Pro, 12 years of applied AI, 6 years in banking. Senior Engineer with AWS ML Engineer, 8 years of RAG and NLP delivery. Senior Coach with SAFe SPC and Scrum Alliance CSP, 7 years coaching at scale. Senior Analyst with PMP and PMI-ACP, 8 years in financial services. Engagements scale from four to eight or twelve people based on scope. The credential and industry mix is published in the SOW, so you see exactly who is on the work before you sign. No swaps happen without your written consent.
That is the model at Rockmere. Tell us the outcome you need and we will send the bios of the practitioners who would run it.
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