RayzentLabs
ai solutions

AI integrations that put the model inside the systems you already run

The useful version of AI is not a separate chat window. It is the CRM note that writes itself after a call, the ERP that flags a suspicious invoice, the WhatsApp reply drafted before the sales rep opens the thread. That requires integration work done carefully.

The problem it solves

Point solutions add another login and another silo. Integrations built quickly break on rate limits, fire webhooks twice, or leak data the model should never have seen.

how it works

From your data to a feature people rely on.

  1. Each system gets a typed client with scoped credentials and only the permissions the workflow needs
  2. Models act through tool calling — read a record, draft an update — with every action logged and reversible
  3. Queues, retries and rate limiting between systems so bursts and outages do not lose work
  4. Observability: volume, latency, error rate and cost per workflow on one dashboard
REST / GraphQLtool callingqueuesobservability
in practice

What it looks like in three businesses.

Sales inbox

Inbound enquiries classified, enriched from public data, scored and routed to the right rep with a drafted reply.

Support on WhatsApp

Customer messages answered from a knowledge base, with order lookups via the ERP and escalation to a person when confidence drops.

Finance reporting

A weekly narrative report drafted from the ERP's numbers and sent for approval before it reaches management.

questions

AI integrations: what people ask.

Which systems have you integrated AI with?

HubSpot, Zoho, Salesforce, Tally, Zoho Books, WhatsApp Business API, Gmail and Outlook, Google Sheets, Razorpay and several custom ERPs. If a system has an API or an export, it can usually be connected.

How do you keep customer data safe?

Scoped credentials, minimum data per call, identifiers masked before they reach a model, business-tier APIs with no training on inputs, and full logging of what was sent where.

All questions

See ai integrations working on your data.

A 30-minute demo on your own use case: what we would build, how long it would take with AI in the loop, and what it would cost. No deck, no obligation.