The release of OpenAI’s latest large language models – o3 and o4 mini – represents a major step forward in the evolution of enterprise-grade AI for customer service. These new models are purpose-built to handle complexity, improve reasoning, and scale automation without compromising control or compliance.
For contact centres looking to enhance customer experiences and operational efficiency through Conversational AI, the impact can be significant. At Business Systems, we help organisations integrate these LLMs to support smarter, more autonomous AI Agents that improve service outcomes while reducing cost to serve customers.
- Smarter Conversations with Multi-Turn Reasoning
The o3 model excels at managing extended customer interactions that involve layered instructions or require context memory. This makes it particularly powerful for use cases such as:
- Highly complex scenarios requiring deep ‘thinking’ and investigation with lengthy, multiple turn conversations
- Handling lengthy customer inputs, such as detailed descriptions or uploading documents
- Scenarios that might require access to multiple knowledge sources to determine the most appropriate response, such as referring to internal process documents, company websites or product images
In performance benchmarks, o3 has shown over 20% fewer critical task errors compared to earlier models like o1. This translates to stronger First Contact Resolution (FCR), improved customer satisfaction, and fewer agent escalations.
However, due to the extremely powerful reasoning and self-critique capabilities, o3 incurs a degree of latency so is not suitable for all scenarios.
- Autonomous Tool Use Enables Dynamic Self-Service
Both o3 and o4 mini can independently decide when to retrieve data, summarise files, or analyse visuals. This dynamic tool use enables AI agents to:
- Extract up-to-date information from websites or internal systems
- Analyse customer-submitted images such as receipts or screenshots
- Provide agents with real-time summaries from long documents
These capabilities unlock more natural, helpful conversations – replacing rigid flows with responsive AI Agents that can solve problems more effectively.
- Visual Understanding Broadens Support Capabilities
Customers frequently share images instead of typing out descriptions – whether that’s a broken product, a bank statement, or a system error. With native visual reasoning, o3 and o4 mini allow contact centres to:
- Speed up claim processing through image recognition
- Automatically triage support tickets based on screenshots
- Enable more accurate product or service queries
This improves outcomes across omnichannel support, particularly where customers switch between chat, voice, and image-based interactions.
- Scalable Efficiency with o4 Mini
Not all queries require the hyper advanced reasoning of o3. The o4 mini model offers strong performance with a lighter footprint, lower cost and much faster response times, making it ideal for:
- Handling Tier 1 and 2 support interactions in any mode, including complex requests
- Powering diagnostic, analytical and problem-solving customer conversations
- Automating high-volume customer service jobs and escalating to o3 models and human colleagues
When used alongside Teneo’s LLM Orchestration, these new models allows for cost-effective AI scaling and utilisation of the latest and best capability while still maintaining quality and flexibility.
- Seamless Integration with Business Systems + Teneo
With Business Systems’ Conversational AI Solutions, powered by Teneo, enterprises can orchestrate and operationalise o3 and o4 mini without disrupting current workflows. Our offering supports:
- Flexible solution design to bring cost effective Agentic AI into any customer service operation or contact centre
- Dynamic deployment of the most appropriate and cost effective LLM models, wrapped within the security of BSL and Teneo conversational AI platform
- Plug-and-play model integration without flow rebuilds
- Full audit trails and compliance safeguards
- Performance analytics to track success metrics
This approach provides organisations with complete control over how models are deployed, ensuring optimal use of AI across their contact centre environment.
Why This Matters for Contact Centres
The combination of o3, o4 mini and Business Systems’ orchestration capability is designed to address real-world challenges:
- Cost per call reduction: o4 mini allows for significant savings on high-volume interactions, while o3 can be used selectively for complex tasks.
- Improved response quality: With built-in reasoning and visual understanding, models deliver more accurate, contextual responses.
- Operational scalability: Automate up to 80% of queries with up to 95% accuracy, handling thousands of interactions across channels like WhatsApp, voice, SMS and webchat.
- Faster deployment: Models can be integrated with existing flows and systems via Teneo with no disruption to ongoing operations.
- Compliance and security: Enterprise-grade controls, including prompt-injection defence and GDPR-ready architecture, ensure safe deployment in regulated environments.
FAQs
What’s the difference between o3 and o4 mini?
o3 is designed for high-complexity tasks requiring advanced reasoning. o4 mini delivers strong performance for standard queries at a lower cost.
Can these models process images?
Yes. Both can interpret and reason through visual inputs, making them suitable for use cases such as claim verification or error screenshot resolution.
Is a full rebuild needed to adopt these models?
No. Business Systems and Teneo support seamless LLM integration into your existing contact centre flows.
How can I manage usage and costs across models?
Teneo’s orchestration routes conversations intelligently – using o4 mini for efficiency and escalating to o3 when deeper reasoning is needed.
Want to explore how these models could benefit your organisation?
Book a consultation with our experts.
