During the webinar, Generative AI for Enterprise: How to Tame a Stochastic Parrot, Squirro provided a solution to the limitations of Generative AI, such as ChatGPT, in the enterprise context by combining Large Language Models (LLMs) with Composite AI and Insight Engine technology.
Kick-Start the Generative AI Implementation at Your Company
Starting with a proof-of-concept (PoC) provides a fast and cost-effective way to test the technology based on a specific business use case and to pave the way to a successful pilot implementation and a roll-out.
Examples of potential PoCs:
- Knowledge Management: Evidence-based enterprise search
- Service Management: Generative AI application (as question answering or summarization) in a Service / Call Center, a customer self-service application, or a public website
- Risk Compliance & Audit Management: summarization or Question Answering based on regulatory requirements
Get in touch with our experts to discuss the potential PoCs at your company and your specific functional domain.
Schedule a Call
What to Expect
How Squirro overcomes the limitations that restrict the application of Generative AI in the enterprise environment:
LIMITATIONS
- Hallucinations make it hard to trust the Generative AI output
- Public data from the internet as the only data source
- A disregard for company’s internal privacy and security restrictions and Access Control Lists (ACLs)
Squirro Solutions
- Evidence-based: counter hallucinations with transparency and explainability in the form of the source of information
- Ingest and locally up-train with private and premium data sources to ensure you get the correct information when you need it
- Enterprise-ready architecture: robust, secure, and respecting ACLs
How to Implement Generative AI?
Over the last decade, Squirro supported a number of leading companies in implementing Enterprise Search and Insight Platform solutions in a broad range of functional domains:
Service Management
Self-Service & Support Request Resolution Automation in Real-Time
Impact: cut 30% MTTR
Sales Management
Intimate understanding of customers & markets, in real-time
Impact: +5% NNR
Risk & Compliance
Augmented risk recognition and dossier handling
Impact: 40% efficiency increase compared to manual processes
Knowledge Management
Knowledge portal as a central hub for all knowledge assets
Impact: 38% efficiency increase in business processes
Enterprise Search
Compliant access and findability layer to all internal and external knowledge assets
Impact: > 264hrs / employee saved p.a.
Your Use Case
Define your specific use case together with our experts and the experts of our partners.
Impact: Together we will do an impact assessment
Service Management
Self-Service & Support Request Resolution Automation in Real-Time
Impact: cut 30% MTTR
Sales Management
Intimate understanding of customers & markets, in real-time
Impact: +5% NNR
Risk & Compliance
Augmented risk recognition and dossier handling
Impact: 40% efficiency increase compared to manual processes
Knowledge Management
Knowledge portal as a central hub for all knowledge assets
Impact: 38% efficiency increase in business processes
Enterprise Search
Compliant access and findability layer to all internal and external knowledge assets
Impact: > 264hrs / employee saved p.a.
Your Use Case
Define your specific use case together with our experts and the experts of our partners.
Impact: Together we will do an impact assessment
From PoC to Rollout
Based on this experience, a three-step approach is proven as the most efficient and successful approach:
