Jamie Bergmann

Jamie Bergmann leads the solutions engineering team at Mosaic AI and has over eight years of experience in AI-native SaaS companies, including previous roles at Ada and Writer. She works closely with customers to address their unique challenges and build solutions on top of the Mosaic platform.

Jamie Bergmann

's posts

Check out the latest posts below.

Guides

Mosaic AI + Zendesk integration

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Guides

Mosaic AI + Slack integration

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Guides

Mosaic AI + Salesforce Service Cloud Integration

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Guides

Mosaic AI + Confluence integration

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No-code AI workflows for support teams

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FAQ template for technical B2B support teams

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Building a knowledge base for B2B SaaS support

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Contextual AI for B2B Support Teams

Contextual AI goes beyond keyword matching. Here's what it actually means for B2B support teams, and why the context gap is costing you more than you think.
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Customer Experience & Strategy

13 hard truths about AI implementation for B2B support

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AI Agents & Automation

Why your support team needs a no-code AI workflow builder

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Guides

B2B customer service metrics that matter

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Customer Experience & Strategy

AI Platform Comparison Guide for B2B Support

How to Implement and Leverage AI-Native Solutions in B2B Customer Support.
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Customer Experience & Strategy

Transform B2B CX into a competitive advantage

How to build successful, contextual AI implementations for B2B customer support.
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Customer Experience & Strategy

What Does It Mean for a Support Team to Be AI Ready?

What does AI readiness mean for support teams? Discover the critical role of AI ready data and practical steps to prepare your team for AI.
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Customer Experience & Strategy
AI Agents & Automation

Agentforce vs Mosaic AI for B2B support

How does Agentforce compare to platforms like Mosaic AI? Get a breakdown of the key differences in strategy, integration, and ROI.
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Knowledge Management

Build vs buy: knowledge management B2B support

How to avoid the common pitfalls of building an in-house knowledge management solution.
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Customer Experience & Strategy

CSAT Meaning: Formula & Benchmarks

A practical guide to what CSAT means, how to measure it, and how B2B SaaS teams are breaking past the 75–85% plateau with AI.
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Customer Experience & Strategy

From Deflection to Delight: Gen AI for B2B CX

A new model for AI customer care is emerging—one that shifts the focus from deflection to delight.
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AI Agents & Automation
Customer Experience & Strategy

How AI Transforms Support Ticket Escalations

Learn how artificial intelligence tickets can automate routing, provide instant answers, and cut response times—transforming your customer support escalation process.
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Knowledge Management

Ticket escalation process (and how to reduce them in the first place)

Here's how to define searchability as a core CX advantage, reduce ticket volume, and deliver the effortless experience your customers demand.
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AI Agents & Automation

AI agents vs AI assistants for technical support teams

Discover the critical differences between AI agents vs AI assistants for technical support teams. Learn which solution fits your needs, with practical use cases and ROI comparisons.
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AI Agents & Automation
Customer Experience & Strategy
Productivity & Enablement

AI terms to know: a practical glossary for CX teams

A practical glossary of AI terms—built for Customer Support, Success, and Sales teams navigating AI in their day-to-day work.
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Get proactive with AI

Start small with one or two agents. See how Mosaic AI’s context-aware platform moves with your workflow—transforming every ticket, every onboarding, and every customer experience. 

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