What are AI Agents?
Think of them as digital employees
AI agents are autonomous “digital employees” that don’t just follow rules—they think, act, and learn. These systems can make real-time decisions, navigate complex software, and even place and receive phone calls to resolve issues. From interpreting messy documents to orchestrating entire workflows, they handle the heavy lifting so your business runs as a self-operating engine.
Should we focus next on claims automation or lead generation for your site?
Cost Comparison
You are a mid size insurance agency. You decide to hire a new employee just to run the certificate process. It is a low level skill but an important one. The entire certificate process needs to be airtight including checking the policy to make sure the coverage being evidenced is accurate. You have two options: 1. Hire someone 2. “Hire a digital Agent”. Here is the cost comparison:
New Human Employee
- Salary: 36,000
- Annual Cost: $49,636
- Monthly Cost: $4,136
New AI Employee
- Initial Build Cost Estimate $5,000
- Monthly Maintainence: $150
5-Year Cost Comparison Summary
| Year | Human (Fully Loaded) | AI Agent (Build + Maint) | Annual Savings |
|---|---|---|---|
| Year 1 | $49,680 | $6,800 | $42,880 |
| Year 2 | $51,170 | $1,800 | $49,370 |
| Year 3 | $52,705 | $1,800 | $50,905 |
| Year 4 | $54,287 | $1,800 | $52,487 |
| Year 5 | $55,915 | $1,800 | $54,115 |
| TOTAL | $263,757 | $14,000 | $249,757 |
Who we work with
Currently our focus is on the insurance industry. Within that we have two sub categories. The first is AI Agents for Insurance Brokers and Agencies. The second is for various types of underwriting agencies including MGA’s. Click on the appropriate button below to learn more about the appropriate discipline.
Human in the Loop
The Human-in-the-Loop (HITL) approach is a design philosophy that integrates human oversight at critical decision points within an autonomous workflow. It is used to:
- Improve Accuracy: Humans provide feedback to help machine learning models refine interpretations, such as adjusting decision boundaries.
- Handle Ambiguity: People step in where algorithms reach their limits, such as managing edge cases or high-risk predictions.
- Ensure Ethical Alignment: Oversight ensures that even as AI becomes more autonomous, it remains grounded in human values and context.
Blockchain for Certainty
Think of a blockchain as a super-secure digital chain made of glowing boxes that keep information safe and organized
- The Power of Blocks: Each “block” is like a digital notebook page that records important facts. Once a page is full, it gets a special digital lock and connects to the one before it. We do this so the information stays in the right order and never gets mixed up.
- Super-Strong Links: Because all the boxes are linked together, you can’t change what’s inside one without changing the whole chain. This is important so that everyone can trust the information is exactly the same as when it was first written down.
- Working Together: Instead of one single computer being in charge, many computers work together to check every new box. This team effort happens so the system stays fair and accurate, making sure no mistakes are ever made.
