About AI
Yes. ChatGPT can clean a CSV. Claude can write a transformation. Copilot can build a chart.
For a one-off — figure out which customers churned, plot last quarter’s pipeline, dedupe a contact list — AI in a chat is usually the fastest tool. We’d tell you to use it.
But the data work that actually runs your business isn’t a one-off. It runs every Monday. It uses the same format every time. It honors an approval before money moves. It needs to be auditable in two years when someone asks why a number was what it was.
That’s not a chat. That’s a platform.
A chat is a moment. A pipeline is a contract: same source, same logic, same output, every Monday at 6am. Forever, until you change it.
Every step shown. Every change versioned. When the CFO asks why revenue moved 3% last quarter, you can point to the line that filtered out a region. Try that with a chat transcript.
Context windows are still small. Mammoth's grid handles a billion rows with sub-200ms response. AI in a chat caps out at a fraction of that.
A pipeline can pause until a human signs off. The payment file doesn't go out until the CFO clicks approve. AI in a chat can ask, but it can't enforce.
A chat is one person. A workflow is a team artifact — versioned, role-controlled, hand-off-able. The analyst who built it can leave, and the work keeps running.
Pasting your CRM into a chat window is a data-leak event. Mammoth runs single-tenant, in your region, with SOC 2 / ISO 27001 / HIPAA. Your data stays yours.
The reframe
We don’t think the future is “AI vs. data platforms.” We think the future is AI agents running inside platforms that give them connectors, governed context, persistent memory, and a place to act safely.
That’s the architecture we’re building. Domain agents — for connectors, transformation, orchestration, export — embedded where you actually work, with the full context of your project. Discrete agents, each with a job.
And underneath, the work is still visible. Every step a human can read. Every change audited. AI accelerates the work; the platform persists it.
In Mammoth today
Smart match, spelling correction, common patterns
Pattern recognition across messy columns
"remove duplicates by email, standardize company names"
Prompt to production-ready in under 15 minutes
Write, fix, explain — in-context
Describe what to flag, get a rule
The shorter answer
