Connected intelligence
FishtankOS reads intent, routes execution, and delivers output where your team already works. It's the layer that turns separate tools into one coordinated system.
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A comprehensive guide to AI
for your DXP
This is a complete guide to why enterprise AI stalls inside the platform it was installed in, and the operating model that finally gets it out.
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(What this is)
AI investment is climbing. Results aren't. Download the guide and see how FishtankOS connects every system you already run into a single intelligent layer.
(What's inside)
Master enterprise AI in one guide
The problem
AI has been layered onto a fragmented stack, and enterprise investment keeps climbing while returns stay flat, widening the gap between ambition and execution. Disconnected tools bury the org in a hidden operational burden, and the real issue is the model itself, a structural problem that no amount of talent can solve.
The agentic frontier
Last year, Sitecore consolidated six products into one platform, opening the door to the agentic frontier. Everyone gets the same doors, which means the real question is who actually wins. XM Cloud became SitecoreAI, and that same launch quietly shipped the Marketer MCP and the Agent API, a shift most people missed entirely.
The solution
You win by connecting what's already yours. FishtankOS links the systems your team already runs and delivers output where the work actually happens, letting your team operate exactly where it already works with zero behavior change required, backed by two layers of intelligence: foundational platform knowledge plus your own organizational standards, built directly in.
What your team is capable of
with FishtankOS
This is what AI was supposed to do from the start.
Scale and access
Every team member can initiate governed, publication-ready work, regardless of platform expertise. Capability that used to sit with a few specialists now sits with the whole team.
Speed and expertise
One request moves through every connected system and comes back as work that's ready to publish. Teams get the output of a specialist without waiting on one.
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real enterprise AI
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