This Week’s Focus ⤵️
As 2025 comes to a close, one shift has become increasingly clear across the work we’ve been doing. Enterprise chat is no longer an experiment or an add-on. It’s quickly becoming the primary interface between people, systems, and data.
Instead of navigating dashboards, folders, and tools, users are asking questions, requesting actions, and interacting with knowledge directly through chat-style interfaces.
When chat is properly governed and connected to enterprise data, it becomes the most natural way to get work done.
ChatGPT, Grok, Gemini, and Claude drove vast amounts of AI adoption in 2025.
My prediction for 2026 is that chat will continue to take over nearly all enterprise data as a layer on top of your existing IT systems.
“AI is going to be the interface layer for every application.”
Diving Deeper 🤿
Throughout 2025, we built and deployed a wide range of AI-powered chat experiences across different enterprise environments.
The result was remarkably consistent.
People adopted chat faster than any other interface.
Time to insight dropped.
Friction disappeared.
The reason is simple; chat removes the burden of knowing where something lives or how a system is structured. Users focus on intent, not navigation. The AI system handles the complexity.
This only works when chat is connected to authoritative data sources and designed with clear boundaries.
Enterprise chat is not about generic answers. It’s about accurate, contextual responses grounded in the organization’s own knowledge and systems.
Legacy Spotlight 🔧
The most durable enterprise systems have always shared a common trait. They reduce complexity without hiding reality.
Well-designed AI chat continues that tradition. It makes institutional knowledge accessible while respecting nuance, context, and responsibility.
One of the most important lessons from 2025 is that guardrails are not optional.
Enterprise chat only creates value when it respects roles, permissions, auditability, and compliance requirements. Without structure, AI introduces risk. With structure, it becomes leverage.
The most successful implementations treat chat as an interface layer, not a novelty feature.
Looking Ahead to 2026
Enterprise interaction will continue to expand beyond text.
Voice and video interfaces are coming, but the foundation remains the same. Real value comes from AI systems that are connected to enterprise data, governed by clear rules, and designed to fit into existing workflows rather than disrupt them.
Balanced & Insightful ⚖️
AI chat works best when it scales human judgment rather than attempting to replace it.
The goal is not automation for its own sake. The goal is faster access to knowledge, clearer decision-making, and better outcomes with accountability built in.
A Note From Jamie
One of the clearest takeaways from 2025 is that people don’t want more tools. They want better access to the systems and knowledge they already rely on.
Chat changes the relationship between humans and software. It replaces unnecessary complexity with conversation while keeping the underlying structure intact. That balance is what we’re focused on as we head into 2026.
- Jamie Thompson
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Jamie’s Weekly Spotify Mix
To close out the year, I put together a Christmas playlist to listen to while wrapping things up and thinking ahead. It’s a mix of classics, instrumentals, and a few modern tracks.
🎺🎧 Note: Web Edition Only
Merry Christmas 🎄
As we wrap up the year, I’m grateful for the clients, partners, and conversations that shaped 2025.
We’re excited for what’s ahead and for continuing to build secure, practical, enterprise-grade AI systems.
Merry Christmas from all of us at Sprinklenet.
