Case Study: The Nuevco Newsroom
AI-Infused Workflows 🤖
Driving Scalable Growth Through AI-Enhanced Program Strategy
At the intersection of business development and lead generation, I led the strategic integration of agentic AI tools across marketing, sales, and product teams. By designing ethical, structured prompt systems, I empowered cross-functional teams to reduce time spent on content production—cutting labor hours by up to 80% and enabling greater focus on high-impact initiatives.
Building on that foundation, I built and launched AI-driven marketing workflows and campaigns that delivered a 30x increase in new customer leads. These initiatives fueled strong B2B sales growth across Q1 and Q2, with signed customer contracts pointing to continued expansion into Q3.
Nimble startups with limited staff and resources (and always too much to do) stand to benefit greatly from strategic deployment of LLMs and other AI tools (coding tools, image generation, etc).
Being one of the aforementioned startups, Nuevco had an urgent need to establish an AI-infused workflow for its editorial calendar. Not only for its own marketing strategy, but also as a product and consulting tool for its clientele who were also struggling to make sense out of the AI craze, and how it might benefit their own strategies.
Enter the “Nuevco Newsroom” workflow model that proved to be effective at supporting sales and marketing targets, and also nimble and flexible enough to include external SMEs into a regular publishing cadence.
The details and AI agents created for this workflow are proprietary, but the basic high-level outline and series of steps can be presented here.
1.
Baseline Discovery: Define the target workflow and desired outcomes. If it hasn’t been done yet, break the workflow into steps with the amount of time and resources each step consumes. Project management tools like Asana (or any other) are an ideal place for establishing a baseline workflows, and for tracking AI tool integration effectiveness as well.
2.
Find the Robot: Review the baseline workflow carefully and identify which steps could benefit from strategic deployment of LLMs and other AI tools (coding tools, image generation, etc).
3.
Get Agentic: Build the Agents required for each step identified in step 2. This will take some time to train the agents, but they are getting better and faster every day. Include as many staff as possible in this step to gain the most benefit. Creative minds will develop new, more efficient ways of deploying agentic AI in their own workflows if they can see it used, and imagine more applications.
4.
Prove it and Refine: Time to answer the question: was all that worth it? Is the workflow faster and more efficient? Run through the new workflows a few times and assess where the gaps remain. Make necessary adjustments and run it again. This may take a few days or weeks depending on the size and scope of the workflow.
5.
Review and Plan for the Future: Check the amount of time and resources each step consumes compared to the original baseline. Identify which areas can be improved right away, and those areas that may be refined as the technology continues to evolve.
OUTCOMES
As Social Media Director at Nuevco, I am positioned at the intersection of business development and lead generation. Collaborating across marketing, sales, and product teams, I have been able to empower workflows with agentic AI tools by building ethical, structured prompt systems to optimize time spent on marketing content creation and reduce labor hours by an average of up to 80%.
Our first agentic AI marketing workflows and campaigns resulted in a 30-fold increase in new customer leads. These campaigns also enabled growing Q1 and Q2 B2B sales with projected growth into Q3 from signed customer contracts.
waving robot by Luke Keil from Noun Project (CC BY 3.0)
alarm robot by Luke Keil from Noun Project (CC BY 3.0)
case management by gravisio from Noun Project (CC BY 3.0)