The gap
Most AI never ships.
$4.4T
Annual value gen AI could add to global economy
95%
Of gen AI pilots fail to deliver business value
$15.7T
AI contribution to global GDP by 2030
Source · McKinsey 2024 · MIT NANDA 2025 · PwC Global AI Study
The economic case for AI is settled. The implementation problem isn't. 95% of corporate generative AI projects stall before production — not because the models can't, but because every workflow that actually matters lives at the seam between three systems, two teams, and one CRM nobody trusts.
The model providers have publicly conceded the same point. OpenAI now operates a dedicated Deployment Company. Anthropic runs Applied AI. Palantir wrote the original playbook on forward-deployed engineering. The pattern is clear: the next chapter of enterprise AI is not about better models. It is about how those models get deployed — workflow by workflow, team by team, into the systems where the work actually happens.
Forward-deployed engineering is how that gap closes. We put an engineer in your Slack who builds the workflow around your data, your ICP, your team's actual pain — outbound, conference prep, customer follow-up, cross-border market entry. We don't sell software. We don't write decks. We own the outcome.
“The next stage of enterprise AI will be defined by how effectively businesses can deploy this technology into real-world use cases.”— OpenAI, on the launch of its Deployment Company
Industry consensusAllston Labs is the Palantir for GTM.
Three of the most important companies in AI now run the same forward-deployed playbook. We apply it to one place: the revenue side of your business.

“If a problem could be solved through a requirements document, it would have been solved already.”
Shyam Sankar, Co-founder · invented the FDE model

“We embed directly with our most strategic customers to drive transformational AI adoption.”
Applied AI team · Forward Deployed Engineer charter

“Real impact comes from helping organizations rethink critical workflows around intelligence.”
Deployment Company launch memo · 2026
How we're differentWe don't sell generic AI tools. We map your exact GTM workflow and ship the engine for it.
Most AI projects fail because the tool didn't fit the revenue team. We rebuild that equation across every dimension — time to value, commitment, pricing, deliverable, engagement, and who owns the outcome.
Dimension
The old way
The Allston Labs way
Time to value
×90 days
→
✓Within a week
Commitment
×12-month SaaS
→
✓Month-to-month
Pricing
×Per seat
→
✓Per workflow
Deliverable
×A deck
→
✓Production system
Engagement
×Buy a tool
→
✓Engineer in your Slack
Accountability
×You implement
→
✓We own the outcome