Insight Partners Builds Practice To Push AI Into Production

Companies are spending billions of dollars on artificial intelligence, yet most of that money is not yet producing working systems inside the enterprise, according to a Bloomberg Tech interview published Oct. 5, 2026. Insight Partners, the venture and private equity firm, is responding by launching a dedicated practice built around "forward-deployed engineers" — technical staff who embed directly with customers to turn AI pilots into functioning products.

What problem is Insight Partners trying to solve for AI spending?

The gap is not funding. It is deployment, Insight Partners Operating Partner Pablo Dominguez told Bloomberg Tech host Ed Ludlow in the Oct. 5, 2026 segment. Companies have budgets for AI experimentation, but converting a proof of concept into a production workflow — one that runs reliably inside existing enterprise software and data systems — remains the bottleneck, per the interview.

What is a forward-deployed engineer, and why does Insight Partners want more of them?

A forward-deployed engineer works on-site or close to the customer, building the specific integrations and workflow logic that generic AI tools do not handle out of the box, according to the Bloomberg Tech segment. Rather than treating AI as a product a customer installs and configures alone, the model puts an engineer inside the customer's operation until the system actually works for that business. Insight Partners is standing up a firm-wide practice to help its portfolio companies staff and run this function, Dominguez said.

How big is the market for turning AI pilots into production tools?

The demand side of that bottleneck shows up in market projections elsewhere. A report cited by HTT News on Sept. 16, 2026, projected the global AI productivity tools market to reach $69.22 billion by 2035, underscoring how much enterprise buying is aimed at systems meant to move AI from pilot to daily use. Neither source quantifies what share of current AI spending stalls before reaching production, but the Bloomberg interview frames that stall as the industry's defining challenge right now.

Why is Insight Partners building this practice now, rather than earlier?

Dominguez's comments suggest the firm views deployment capability as a competitive gap across its portfolio: companies that can get AI into production faster capture more value from the same spending. The practice is designed to be shared across multiple portfolio companies rather than built separately inside each one, according to the segment — a bet that the forward-deployed engineering skill set is scarce enough to warrant a centralized investment.

"Getting AI into production remains a major challenge" even as spending climbs, is how Bloomberg Tech framed the issue heading into the Oct. 5, 2026 interview with Dominguez.

What should enterprise AI buyers watch for next?

The near-term signal to track is whether Insight Partners' portfolio companies report faster time-to-production after adopting forward-deployed engineering teams, a metric the Bloomberg Tech segment did not disclose. Buyers evaluating AI vendors can ask directly whether a vendor embeds engineers during rollout or expects customers to integrate the system themselves — a distinction Dominguez's comments suggest increasingly separates AI tools that ship from those that stay in pilot.

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