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Ozzie: AI Conversational Layer Bridging CRM, Support, and Knowledge Systems

Integrating an AI assistant across CRM, ticketing, and knowledge base systems

Client: Ozzie
Ozzie: AI Conversational Layer Bridging CRM, Support, and Knowledge Systems

The Challenge

What Ozzie Was Facing

Ozzie was an AI conversational assistant that needed to operate across three core business systems — a Salesforce CRM, a Zendesk support platform, and a proprietary knowledge base — without requiring agents to switch contexts. The systems used different authentication models, different data structures for customer records, and had no shared identity layer. Attempting to surface customer history during a conversation required manual lookups across all three, adding 3-4 minutes to every support interaction.

The Solution

What We Built

We built a systems integration middleware that created a unified customer context object by federating identity across all three platforms using email and phone as matching keys. A real-time context API allowed the conversational layer to pull current CRM status, open tickets, and relevant knowledge articles in a single request during session initialisation. Write-back connectors ensured that conversation outcomes were logged back to both Salesforce and Zendesk without agent intervention, eliminating duplicate data entry.

Ozzie: AI Conversational Layer Bridging CRM, Support, and Knowledge Systems – solution

Results

Measurable Outcomes

Average handle time reduced by 3.4 minutes per interaction through pre-loaded customer context
Three disparate systems unified under a single customer identity layer
Manual data entry across platforms eliminated through automated write-back connectors
Agent context-switching between systems dropped from an average of 7 times to 0 per interaction

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Ozzie: AI Conversational Layer Bridging CRM, Support, and Knowledge Systems | Software Development Solutions