AI native GTM engineering: what changes in your sales process?
AI native GTM engineering uses AI within a designed customer acquisition process. It combines account research, human judgement, custom software and CRM workflows. DotGrey builds and implements those systems for your team, so research and conversations lead to a clear next action. The goal is a better commercial process, not simply more generated messages.
What does the client actually receive?
A scoped engagement should deliver a functioning workflow inside the tools your team uses. That can include company selection criteria, research with source references, approved outreach drafts and CRM updates that retain the context behind a conversation. DotGrey writes the custom logic and connects the agreed tools. Access, code ownership, maintenance and operating instructions are defined in the engagement.
An example from research to sales
Consider a business selling to companies opening new locations. A workflow records an expansion announcement with its source and date, checks whether the company fits the agreed audience, and checks the CRM for an existing conversation. It prepares a short account brief for review. An approved approach can then enter outreach, with replies assigned to an owner. Expansion alone is not proof of purchase intent. This is an illustrative workflow, not a customer case study.
Where should AI stop and people decide?
Use AI to prepare research and drafts that people can inspect. Keep explicit rules for duplicate records, account exclusions, ownership and approval. A missing source should trigger review, not a confident invented explanation. Before increasing volume, check a sample of selected and rejected accounts with the sales team. The same review should catch plausible but irrelevant personalization.
How do you measure whether it works?
Record a baseline before launch: research time per account, relevant replies, opportunities accepted by sales and follow up time. Compare the same audience and stage definitions over a stated period. Separate activity from outcomes, and retain unsuccessful accounts in the measurement. More replies do not necessarily mean more qualified opportunities. Review the reasons for rejected opportunities and change the selection rules before adding another channel.