AI SDR
AI Workflow Clarity Execution Growth
Outbound works when the prospect feels seen. It fails when the company receives another message that could have been sent to anyone.
The pain
Manual SDR work is slow. Generic automation is cheap but damages trust. Most teams either research too little or spend too much time researching leads that never fit.
The build
We build AI SDR systems that research accounts, qualify fit, personalize messages, enrich CRM data, prepare follow-ups and surface warm opportunities. The system can operate with approval or within strict sending rules.
How it works
- Define ICP, exclusions, offer angles and qualification rules.
- Find leads from selected sources and enrich the account profile.
- Analyze websites, hiring signals, tech stack, content and likely pains.
- Generate personalized outreach and follow-up paths.
- Sync outcomes with CRM and report what converts.
Concrete use cases
- A B2B SaaS targets companies showing a specific workflow problem.
- A software house finds clients with legacy tools that need AI copilots.
- An agency builds a managed outbound engine for niche clients.
Why it gives you an advantage
AI does the research and structure. Humans keep the offer, judgment and relationship.
Outbound should feel prepared, not pasted.
Not sure what to automate first?
Send the messy process, product idea, or workflow that keeps coming back to your desk. We will map what should be built first, what can wait, and where AI can create real leverage instead of another demo nobody uses.
