System & Data Orchestration

Your AI is only as smart as
the data it can reach.

The world's best AI model is useless if it can't see your customer history. We build the secure bridges, APIs, and pipelines that unlock data trapped in your legacy silos and feed it to your intelligent agents in real-time.

The "Data Trap"

You have the data. You just can't use it.

Your enterprise has decades of valuable intelligence sitting in:

Legacy Billing Systems (BSS)

That only export CSVs once a night.

On-Premise Mainframes

That haven't been touched since 2010.

Fragmented SaaS Tools

Salesforce, Zendesk, ServiceNow that don't talk to each other.

This is why "Out of the Box" AI fails.

When you plug a standard chatbot into this mess, it hits a wall. It can't tell a customer "why" their bill went up because that data is locked in a PDF on a different server.

The "Universal Translation" Layer

Three core capabilities that bridge your data to your AI

The API Wrapper

We teach old dogs new tricks.

We don't need to rewrite your mainframe code. We wrap your legacy systems in modern, secure REST or GraphQL APIs. This allows your shiny new AI agents to "talk" to your 20-year-old database as if it were a modern cloud app.

The Vector Pipeline

Turning "Documents" into "Knowledge."

Your PDFs, contracts, and SharePoint sites are currently invisible to machines. We build automated pipelines that ingest this unstructured data, clean it, and index it into Vector Databases (RAG). Now, your AI can "read" your entire corporate history in milliseconds.

The Real-Time Event Bus

Stop waiting for the nightly batch.

AI needs to know what is happening now. We implement event-driven architectures (using Kafka or Azure Event Grid). When a payment fails in the billing system, the event is published instantly, and the AI agent reacts immediately—not tomorrow morning.

We Connect the Unconnectable

Deep experience building custom integrations for systems most developers are scared to touch

Telco Stacks

Amdocs, Ericsson, Nokia OSS, Radius Servers

FinTech Cores

Fiserv, Jack Henry, Swift, ISO 8583 message formats

Legacy ERP

SAP (ABAP/IDoc), Oracle E-Business Suite, AS/400

Modern SaaS

Salesforce, HubSpot, Zendesk, Microsoft Dynamics 365

Breaking Down the Silo

A National Utility Provider

The Situation

Customer Support

Used a modern web dashboard

Smart Meter Data

Lived in a separate "IoT" silo

Billing Data

Lived in an on-premise Oracle DB

The Pain: Agents had to open 3 screens to answer "Why is my bill high?"

The GoZupees Orchestration

  • We built a Unified GraphQL Federation Layer.
  • When the Agent (or AI) asks for "Customer Status," the layer simultaneously queries the Meter, the Bill, and the CRM.
  • It merges the response into a single JSON object.

The Result

Latency

< 300ms

Experience

"I see your bill is high because your usage spiked on Tuesday when the temperature dropped."

Security & Governance

Open doors, but keep the locks.

Opening up legacy data sounds scary. We treat security as the primary requirement, not an afterthought.

PII Redaction at the Source

We strip sensitive data (SSN, Credit Card numbers) before it ever reaches the AI model.

Rate Limiting

We protect your fragile legacy databases from being overwhelmed by AI requests.

Zero-Trust Architecture

Every API call is authenticated and authorized. No open ports.

Don't let your legacy stack kill your AI strategy.

Your data is ready to be used. Let us build the pipeline that sets it free.

Discuss Your Integration Challenge