The problem
Outbound processes often fragment across research, contact discovery, verification, drafting, sending and follow-up. That creates duplicated work, poor data quality and weak visibility over what actually happened.
AI & automation
A practical approach to using AI and automation in business development: combine structured prospect data, validation, controlled messaging, workflow state and human oversight rather than relying on a single generative tool.
The problem
Outbound processes often fragment across research, contact discovery, verification, drafting, sending and follow-up. That creates duplicated work, poor data quality and weak visibility over what actually happened.
What changed
The workflow is treated as one operating system. Data quality gates, direct-contact rules, message generation, send controls, retry logic and reporting are designed together.
What was built
A modular outreach architecture combining prospect sourcing, contact verification, templating, batching, per-recipient state, retry handling and auditable delivery logic.
Martin’s role
Product direction, commercial requirements, workflow design and orchestration of the technology stack around a controlled business-development process.
Outcome
A reusable outreach system designed to reduce manual coordination while preserving evidence, contact quality and human control over commercially sensitive decisions.
Related capability
AI-assisted operations, sales automation, business-development infrastructure and internal tooling.
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