What Problem Was This Automation Built to Solve?
Shane: Welcome back to AI and Automation in Action, where we dig into real-world automation use cases. A lot of times these are not massive builds, but the efficiency gains stack up. Today we are walking through an automation we built for a client in the staff augmentation space.
Their sales reps were manually visiting job boards to find open positions that matched the services they offer. That process takes time, requires ongoing scheduling, and leaves room for things to fall through the cracks. The goal was to replace that manual routine with something consistent and automatic.
How Does the Job Board Monitoring Dashboard Work?
Hunter: The first step was sitting down with the client to document their exact process from start to finish. From there, we built a branded dashboard they log into through an authentication page scoped to their organization to prevent unauthorized access.
The dashboard is integrated with a tool called Adzuna, which aggregates job postings from multiple job boards into one place. The sales team types in a keyword, for example IT Administrator, optionally selects a state and radius, and the dashboard pulls matching live postings from Adzuna in real time. No more jumping between platforms or manually copying data.
Can This Connect to a CRM or Email Marketing Tool?
Hunter: Yes. As long as the tools they use for inbound sales support API access, we can extend the automation to automatically create contacts in HubSpot, trigger an email sequence through Mailchimp, or push records into other prospecting tools. The data comes in on a consistent basis without anyone manually transposing it from one application to another.
Shane: The client has also expressed interest in a reporting layer on top of that. Things like how many recipients opened or clicked a given email, how many were sent in a given week, and other engagement metrics. That visibility into the pipeline is another layer they can add as the automation matures.
How Does AI Fit Into the Lead Enrichment Step?
Shane: There is an interesting extension worth calling out here. Other teams in the sales space are using custom prompts in tools like Claude to qualify prospects and enrich data. The challenge is always finding the raw list to start with. This automation solves that first step by pulling in a list of companies actively hiring for relevant roles. From there, you can connect an LLM to enrich that data before it ever reaches a sales rep.
Hunter: Exactly. And you can also use that prompt layer to confirm that a prospect fits your defined sales process and ideal client profile before any outreach goes out.
What Tools and Components Were Used to Build This?
Hunter: The dashboard itself was built using internal tools at Innovative Automations. The core integration is with Adzuna, which requires a paid API subscription. That is the primary external cost involved. If a client prefers a different job aggregation platform that supports API access, the same approach applies.
Shane: One thing that stood out to the client was how quickly this went from conversation to a working product. Hunter, what was the actual time investment?
Hunter: The core functionality took two to three hours. Getting the login page polished, adding the client's logo, and fine-tuning the formatting to match their brand brought the total closer to five to six hours.
What Should You Check Before Starting an API-Based Automation?
Hunter: The first step is reviewing the vendor's API documentation to confirm it exists and is publicly documented. From there, you dig into which endpoints are actually available. We start every project by mapping the full business process, because that tells us exactly which endpoints the automation will need to call, whether that is listing leads, creating contacts, reading deal data, and so on.
If the documented endpoints match what the process requires, we can move forward confidently. If they do not, it is better to know that before any build begins rather than halfway through.
Shane: That is a critical point. We have run into situations where an API exists and grants access to contacts, but does not expose the deal or custom field data also needed for the workflow. The scope of access matters just as much as the existence of the API.
How Do API Costs Factor Into the ROI Calculation?
Shane: API access is not always free. Some tools give you API access at no extra charge, especially platforms you already pay for internally. Others charge based on call volume, data throughput, or the number of distinct endpoints you access. All of that needs to be scoped during discovery so the ROI math holds up.
Hunter: Larger platforms like NetSuite are a good example. They hold a lot of data on the vendor side, and querying that data at scale is where the per-endpoint or per-call pricing tends to show up. It is worth understanding the pricing model before assuming an integration is low cost.
Shane: Ultimately, AI and automation are genuinely transformational technologies. We will look back on this period as a turning point for how businesses operate. But the foundation always has to be ROI. The investment in time, cost, and effort needs to pay back through cost savings, added functionality, or another form of real value. Thanks for walking us through this one, Hunter. Looking forward to the next build.
Hunter: Thanks for having me, Shane. See you on the next one.