FDECo launches applied AI consultancy built around Forward Deployed Engineers

FDECo has launched in New York City as a specialist applied AI consultancy focused on moving enterprise AI from prototypes into secure production systems. The firm combines embedded Forward Deployed Engineers, end-to-end delivery and training to help organizations turn AI spending into measurable business value.

Why it matters: - Enterprise AI often stalls before production, which leaves companies with prototypes but little measurable value. - FDECo is targeting that gap with a model built for delivery, not just strategy. - The consultancy is positioning itself around engineering depth, operational ownership and business outcomes.

What happened: - FDECo announced its launch on September 24, 2026, in New York City. - The company is launching as a specialist applied AI consultancy. - FDECo is built around Forward Deployed Engineers, or FDEs, who work inside client environments. - The firm says its goal is to move AI from promising prototypes into secure, scalable production systems. - FDECo will also provide Applied AI training programs.

The details: - Clients can embed experienced AI Engineers and expert-level FDEs directly into their teams. - Clients can also hand FDECo full responsibility for AI projects from assessment and use case discovery through architecture, build, evaluation, production and handover. - FDECo’s services include AI readiness and use case assessment, AI health checks, architecture and integration, AI applications and agentic systems, evaluation and regression testing, governance and guardrails, observability and production hardening. - The company says operational ownership is built into delivery from the start. - That includes documentation, evaluation infrastructure, runbooks, structured handover and knowledge transfer. - FDECo says the approach helps clients understand, operate and extend the systems that are delivered. - The consultancy says production AI must work with real data and systems, respect security and permissions, fit existing workflows, remain observable and auditable, perform economically at scale and generate measurable business outcomes. - The firm says the challenge is less about model access and more about the engineering, integrations, controls and infrastructure around the model.

Between the lines: - FDECo is arguing that many AI efforts fail because teams treat the model as the product, when the harder work is making the system usable inside an enterprise. - The company’s Forward Deployed Engineer model is meant to keep technical execution close to the business problem throughout delivery. - That structure also gives FDECo room to recommend simpler solutions when a use case does not justify a more complex AI build. - CEO James Lloyd-Townshend said the firm will tell clients when the right answer is not to build. - Research cited by FDECo says more than 80% of AI projects fail, and Gartner has reported that 59% of AI prototypes never reach production. - Technology talent company Tenth Revolution Group supports FDECo through its specialist talent solutions. - FDECo also says it works with a network of complementary partners, including help for regulated-industry work.

What's next: - FDECo will focus on helping organizations move from AI experimentation to production deployment. - The company will pursue projects that combine engineering depth, delivery accountability and business focus. - Clients seeking more capability will be able to use embedded FDEs, full project delivery or training programs.

The bottom line: - FDECo is betting that the biggest AI opportunity is not building more demos, but getting enterprise AI to work reliably in production.