You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.
You want inspiration for real-world ways to help people as you're building your Ai product.
You're focused on the Awareness stage in your daily job and want to find ways for Ai to help you do more with less.
This workflow is designed for marketing and sales teams who want a systematic approach to organizing high-value accounts in an ABM (Account-Based Marketing) context. By applying data-driven criteria, you can allocate resources more effectively, ensuring that the most strategic accounts receive the highest level of attention.
Inputs typically include firmographics (industry, company size, revenue), engagement or intent signals, and your ICP (Ideal Customer Profile) details. The output is a tiered account list (Tier 1, Tier 2, Tier 3, etc.) with AI-generated scores indicating how closely each account aligns with your ICP.
Steps include confirming or loading ICP data as part of the initial trigger, extracting accounts from your CRM, using an AI or machine learning model to segment and score them, and finally presenting the tiered list via a dashboard or spreadsheet. This process ensures you can easily identify which accounts warrant the most personalized outreach versus those suitable for more generalized marketing.
Does this AI agent workflow rely too much on AI and not enough on human know-how? Or the reverse? Is it missing steps or tools?
Note that this Ai workflow is presented as inspiration for what's possible. Adjust the amount, type and quality of the data inputs. Adjust how much or how little your human team mates (or you), AI and fully autonomous agents contribute.
And test it! Learn what works and what doesn't.
Don't forget! In the end, it's not just about efficiency. It's about delivering great experiences for your customers and customers-to-be.
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