At DataCore AI, we design agentic AI workflows tailored to each business, based on your existing data, processes, and infrastructure.

We build end-to-end workflows where AI agents collaborate like a digital team. Each agent has a specific role – analyzing data, preparing documents, sending communications, or making decisions – and they can pass tasks between each other automatically.

This means:

• Reduced manual work – repetitive tasks are handled by AI.

• Faster processes – decisions and outputs are delivered in real time.

• Flexible automation – agents can branch (“fork”) the workflow, connect to other systems, or escalate to a human when needed.

• Scalable solutions – from a few agents assisting with routine tasks to large, autonomous networks managing complex processes.

Customer Service Workflow

Imagine a customer sends a question through email, SMS, or web form:

1. A Planner Agent receives the query, analyzes it, and decides the next step.

2. If the answer exists in your knowledge base, a Knowledge Agent drafts a high-quality response.

3. If the query is technical, the Routing Agent forwards it to the correct technical service agent or specialized case officer.

4. A Compliance Agent checks that the response follows policies and contracts.

5. A Product Delivery Agent validates shipment or stock questions.

6. Each of these results is reviewed by an Evaluator Layer before merging.

7. Finally, an Answer Agent compiles everything into a clear, customer-ready reply and sends it back via the preferred channel.

This way, the system can autonomously handle many queries end-to-end, while only escalating to humans when truly necessary. The result is faster response times, higher quality answers, and less manual effort for your team.

With this approach, your business gains a custom AI-powered workflow that saves time, improves efficiency, and ensures smoother operations.