Sales and Marketing AI Tools
AI GTM Engineering for Sales and Marketing Teams
AI GTM engineering with Mayank Bohra in India. Build AI tools for sales and marketing: account research, CRM workflows and content drafts with human review.
Build around a go-to-market task
AI GTM engineering means building AI tools for the work a sales or marketing team needs to do. That could be preparing an account brief, finding a product answer, or drafting content from approved material. I offer this as freelance AI development from India. We start with one workflow, the people responsible for it, and the information they need. The goal is a tool the team can inspect and use within its existing process.
Prepare account research with sources
An account research assistant can organize information from sources your team is permitted to use and produce a brief for a salesperson to review. We define the questions the brief should answer, preserve links to the supporting material, and show where information is missing. The system should distinguish an observed fact from a suggestion. This makes the output easier to check before someone uses it in a customer conversation or a campaign plan.
Connect CRM data and product knowledge
CRM integration and retrieval can bring approved account records, product documentation, and team knowledge into the same workflow. I can build the application and API or MCP connections around the access your team already has. We agree which records a person can read and which actions require approval. A useful AI sales assistant should return relevant context without giving a model unrestricted access to customer data or allowing it to change records without review.
Draft marketing content from approved material
For marketing teams, an AI workflow can turn a product brief, approved positioning, or a source article into a first draft. We can define the audience, format, and claims that need supporting evidence. Editors keep responsibility for the final copy. The application can show source material beside the draft and flag gaps for review. Publishing and customer outreach stay under your team's control; building the tool does not imply sending messages or publishing content automatically.
Evaluate quality and review the actions
We select representative tasks and compare outputs with the team's expectations before expanding the workflow. Useful checks include whether a statement has a source, whether the draft follows the brief, and whether the tool respects access limits. The build can include logs, error handling, and a review step for actions that affect CRM records or external systems. We agree on how to measure quality and time spent; I do not assume a revenue result from adding AI.
Discuss the scope with an AI engineer
My engineering background includes production LLM systems at Gradeless AI and MCP developer tools such as create-context-hub and create-multicast. Those projects show the application, context, and integration work behind this service. For a new AI GTM project, share the workflow, approved data sources, tools, and review requirements. We can then agree on a prototype, evaluation tasks, deployment scope, and handover documentation. The offer is to build sales and marketing tools; the scope depends on your team's needs.