Business development is the exploratory front end of growth — finding new markets, partners, and opportunities, and opening the relationships that lead to deals. It’s research- and relationship-heavy, and AI is well-suited to the research half, freeing BD people for the human half. Here’s how, and how dgm implements it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

What AI actually does for business development teams

The honest framing: AI handles the research and prep that front-loads business development — markets, partners, opportunities, competitive context — so BD professionals spend more time on relationships and deal-making, which are irreducibly human. (For transactional selling and closing, see AI for sales teams — BD is the more exploratory, relationship-opening function.)

High-value use cases

  • Market and partner research — synthesizing what’s known about markets, segments, and potential partners so outreach starts informed.
  • Opportunity scoring — prioritizing which opportunities and partners are worth pursuing.
  • Outreach drafting — personalized first-draft outreach grounded in real research.
  • Competitive intelligence — synthesizing competitor and market signals into a usable picture.

The pattern: research-heavy preparation that precedes — but never replaces — the human relationship.

The line: AI researches, people relate

Business development is fundamentally about relationships and judgment — reading people, structuring deals, building trust. AI doesn’t do any of that. What it does is clear the research and prep so BD professionals walk into every conversation better-informed and with more time for the human work. Used that way it’s a genuine multiplier; treated as a way to automate relationships, it misses the point of BD entirely.

How to start

Start with research and opportunity prioritization — the most time-consuming, most automatable part of BD. Prove the time saved and the quality of targeting, then expand into outreach and competitive intelligence. dgm’s assessment finds the best first workflow.

How dgm helps

dgm implements osFoundry and other AI for US business development teams — connecting it to your data and research sources, building research, prioritization, and outreach workflows, and training your team. Pricing is fixed and public: a $399 assessment and $3,999/month implementation, with no per-seat fees. If you’d rather explore the platform first, go straight to osFoundry; if you want BD AI done right, that’s where dgm comes in.