Hanover Park says AI just compressed enterprise sales cycles from months to days
Chris Hladczuk, building AI agents for fund accounting back offices, says the procurement slowdown that once defined enterprise software sales has quietly collapsed.
Hanover Park is a lean shop. No product managers, no designers. According to Chris Hladczuk, the team is “engineers shipping code sitting alongside fund accountants,” building long-horizon AI agents to clean financial data at scale for asset management back offices.
So what used to take months now takes weeks or days. Chris Hladczuk
The sales motion around that product has shifted sharply. Hladczuk says enterprise procurement cycles, historically a months-long grind of security reviews and committee sign-offs, have compressed to weeks or days. That compression is not a prediction: he frames it as something Hanover Park has observed directly in its own deals.
The company is also betting on a structural shift in how AI gets priced. Usage-based billing is the current consensus, but Hladczuk says “people are now saying the next progression is going to be outcome based pricing.” Separately, he argues that AI agents with persistent memory are the right fix for a chronic fund-accounting problem: institutional knowledge that disappears when experienced staff leave. Whether those bets land will depend on model capabilities continuing to advance, a dependency he acknowledged when discussing features that only became technically feasible recently due to jumps in underlying model performance.