Press Release
Atlanta, GA · August 17, 2026
The Atlanta-based AI firm embeds Forward Deployed Engineers inside enterprise teams to find where OpenAI models deliver value, ship them into production, and make adoption stick.
HatchWorks AI today announced its membership in the OpenAI Partner Network, OpenAI’s program for organizations that build, sell, and deliver AI solutions with OpenAI. The membership adds OpenAI to a partner roster that already includes Anthropic’s Claude Partner Network, Google Cloud, and Databricks.
The company’s approach centers on Forward Deployed Engineers — senior AI builders who work inside client organizations to identify where OpenAI models create measurable impact, ship the systems that deliver it, and establish the practices that keep them running.
Access Is Not Adoption
Every enterprise can buy access to frontier models. Far fewer can embed them into their organization in a meaningful way.
Enterprise AI initiatives routinely stall in the gap between evaluation and production. Licenses get purchased. Pilots get run. Results don’t scale. The barrier is rarely the model — it’s the absence of internal muscle for operationalizing one: new ways of working, new disciplines, and accountability for outcomes rather than demos.
That gap is the reason the OpenAI Partner Network exists. When OpenAI announced the program in June 2026, it committed $150 million to the ecosystem and set out to train and enable 300,000 certified consultants by the end of 2026 — an explicit bet that implementation capacity, not model capability, is what determines enterprise results.
The Forward Deployed Engineer Model
HatchWorks’ Forward Deployed Engineers follow a structured, three-part approach:
Find
Engineers embed with client teams, learn how the business actually runs, and identify where OpenAI models deliver measurable ROI.
Ship
They build OpenAI-powered systems tailored to client operations — governed, evaluated, and monitored to production standards.
Multiply
They run training and change management so the systems get used, because shipping is half the work and adoption is the half where most AI investment stalls.
The work typically lands in four categories: workflow automation for multi-step processes that used to require a team; role-specific AI agents that monitor, analyze, recommend, and act; intelligence layers that connect data, models, and workflows into a reasoning architecture; and AI-native products that couldn’t exist without a frontier model at the core.
Every engagement runs on GenDD, HatchWorks’ proprietary methodology for building with AI, which defines a governed division of labor between humans, AI, and accumulated context.
Engagement Models
HatchWorks offers three structures for OpenAI work:
Forward Deployed Engineers
Senior HatchWorks engineers, skilled on the OpenAI platform, embedded inside client teams for organizations preparing to launch.
Agentic AI Pods
Cross-functional teams that own outcomes end to end. One GenDD Pod (Product Lead, Engineer, QA) replaces a traditional team of 8 to 12.
End-to-End Transformation
One accountable team from strategy to scale, for enterprise-wide AI initiatives.
Chief Executive Officer, HatchWorks AI
Multi-Model by Design
HatchWorks is now a partner across the frontier model landscape — OpenAI, Anthropic, and Google — alongside its Databricks data partnership.
The company positions that breadth as a deliberate choice: enterprises should select models based on the requirements of the workload, not the vendor relationship of their consultancy.
About HatchWorks AI
HatchWorks AI is an Atlanta-headquartered, pure-play AI firm that helps enterprises generate measurable returns from their AI investments. The company embeds Forward Deployed Engineers inside client teams and delivers production AI systems using its proprietary GenDD methodology. HatchWorks AI is a member of the OpenAI Partner Network and the Claude Partner Network, a Google Cloud Select Service Partner, and a Databricks validated Data Partner, with offices in Atlanta, Chicago, Dallas, San José (Costa Rica), Bogotá, Medellín, São Paulo, and Lima.
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