Tinuiti CEO: AI Agents Fail Without Clean Data Foundations
Tinuiti CEO Abbey Klaassen says marketers must build clean data foundations before AI agents can deliver — the "unsexy" work comes first.
Updated

The brief
- Tinuiti CEO Abbey Klaassen appeared on AdExchanger Talks this week.
- She said AI agents are only useful if the data feeding them is clean.
- Klaassen argued the data foundation must be built before deploying advanced AI capabilities.
AI agents are only useful if the data feeding them is clean — and that is the message Abbey Klaassen, CEO of independent performance agency Tinuiti, delivered on this week's episode of AdExchanger Talks.
"Everyone in Ad Land wants to show off their shiny new AI agent," she said. "But you can't do the cool stuff unless you build the data foundation first."
Her comment cuts against the current rush among agencies and advertisers to deploy AI agents in campaigns and workflows. Klaassen's argument is straightforward: the technology itself is not the bottleneck. The quality of the data infrastructure behind it is.
For performance agencies like Tinuiti, that means the path to working AI agents runs through unglamorous work — auditing data sources, cleaning feeds, and organizing information so agents can act on it reliably. Skip that step, and the agents produce unreliable output regardless of how advanced the models are.
The takeaway for marketers mirrors what data practitioners have said about every previous wave of marketing technology: strategy and infrastructure determine results, not the tool itself. Agencies that invest in the foundational work now will be the ones positioned to deploy agents that actually perform.
Based on adweek.com
Filed under ai-agents, data-quality, tinuiti, abbey-klaassen, adexchanger-talks
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Correspondent covering industry trends and analytics at Marketing Herald.
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