Services
Forward Deployed Engineering
Embed AI-native commerce experts in your organization. We don't just build with AI. We teach your team to.
Propel your org into AI-native commerce with senior engineers who've done it before. P3 forward deployed engineers embed directly inside your team, shipping production Shopify code, building AI-powered workflows, and training your team to implement, scale, and uncover efficiency with AI. Not a vendor. Not a retainer. A senior engineer in your standup on Monday.
Our Core Services
We deliver full-spectrum AI FDE capability as a unified engagement or individually, depending on your organization's needs.
AI Commerce Engineering
Senior Shopify engineers building AI-native features in your production stack. Personalization, LLM-powered content, predictive merchandising. All shipped live, not prototyped.
AI Team Enablement
Embedded training that runs inside your real sprints. Your team leaves with practical AI fluency: prompt design, tool selection, and workflow automation. Documented and repeatable.
AI Infrastructure for Commerce
Data pipelines, model routing, observability, and reliability hardening. Infrastructure built on your existing Shopify architecture so AI workloads can run at enterprise scale.
AI Efficiency Audit
A structured diagnostic identifying where AI replaces manual overhead across your org, including catalog ops, customer service, merchandising, and fulfillment. Clear ROI, ranked priorities.
We Don't Just Build With AI. We Teach Your Team To.
Every P3 FDE engagement includes structured capability transfer. Not a workshop bolted on at the end, but embedded value in every sprint, every architectural decision, every deploy. Your engineers leave with hands-on AI fluency, documented workflows, and the judgment to scale AI independently. Change management and capability transfer isn't optional. It's how we measure a successful engagement.
How We Deliver Value
Expertise You Can Count On. A Partnership You Can Trust.
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Commerce-Native AI Depth
Unlike generalist AI firms, our engineers have built and shipped production commerce systems at ALDO Group, David's Bridal, and GIII. That context is the difference between AI that works in a demo and AI that holds under Black Friday load.
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Senior-Only. No Learning on Your Dollar.
Every forward deployed engineer is a senior specialist. Cross-functional, product-minded, and capable of making architectural calls in the room, not just writing code to a spec.
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Embedded From Day One
Fully integrated into your standups, sprints, code reviews, and on-call rotation. No warmup period. Shipping real production code within the first week.
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Scale Without Switching Vendors
Start with one embedded engineer, scale to a full P3 pod as your roadmap demands. You never need a second agency relationship. P3's full bench backs every engagement.
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We Don't Just Build With AI. We Teach Your Team To.
Every P3 FDE engagement includes structured capability transfer. That means hands-on AI training embedded in your real sprint work, documented playbooks you keep, and the architectural judgment your team needs to scale AI independently after we're gone.
Frequently Asked Questions (FAQ)
Q. What types of organizations are a good fit for Forward Deployed Engineering? Mid-market to enterprise commerce brands on Shopify that need to move faster than a traditional agency engagement allows. You're a strong fit if you have an internal engineering team that's stretched thin, a roadmap that includes AI features, or a specific high-stakes initiative — a replatform, a POS rollout, a major integration — where you need senior capability embedded quickly.
Mid-market to enterprise commerce brands on Shopify that need to move faster than a traditional agency engagement allows. You're a strong fit if you have an internal engineering team that's stretched thin, a roadmap that includes AI features, or a specific high-stakes initiative — a replatform, a POS rollout, a major integration — where you need senior capability embedded quickly.
Q. How is this different from a retainer or a traditional agency engagement? A retainer is a managed service — work flows through a project manager, briefs, and handoffs. Forward Deploy is different: a senior P3 engineer is embedded directly in your org, in your Slack, in your standups, accountable to your sprint goals. No account management layer. No brief-writing. Just an engineer who shows up as a member of your team and ships production code.
A retainer is a managed service — work flows through a project manager, briefs, and handoffs. Forward Deploy is different: a senior P3 engineer is embedded directly in your org, in your Slack, in your standups, accountable to your sprint goals. No account management layer. No brief-writing. Just an engineer who shows up as a member of your team and ships production code.
Q. Do we need to be on Shopify to work with P3 FDE? No. While Shopify is where P3's deepest commerce expertise lives, our Forward Deploy Engineering practice is built around change management and AI deployment — and that applies to any organization, regardless of platform. If your team needs senior AI-native engineers embedded to implement, scale, and uncover efficiency with AI, we can work with your stack. Platform fit is something we assess together on an initial strategy call.
No. While Shopify is where P3's deepest commerce expertise lives, our Forward Deploy Engineering practice is built around change management and AI deployment — and that applies to any organization, regardless of platform. If your team needs senior AI-native engineers embedded to implement, scale, and uncover efficiency with AI, we can work with your stack. Platform fit is something we assess together on an initial strategy call.
Q. What does AI capability transfer actually look like in practice? It's not a training course. It happens inside your real work. As your P3 FDE builds AI features alongside your team, they explain architectural decisions, co-author prompts, document patterns, and flag where and how your engineers can replicate and extend the work independently. By the end of an engagement, your team has working AI features in production and the fluency to keep building them — plus documented playbooks they own.
It's not a training course. It happens inside your real work. As your P3 FDE builds AI features alongside your team, they explain architectural decisions, co-author prompts, document patterns, and flag where and how your engineers can replicate and extend the work independently. By the end of an engagement, your team has working AI features in production and the fluency to keep building them — plus documented playbooks they own.
Q. How quickly can a P3 FDE be embedded in our team? Typically within 5–7 business days from signed agreement. We do a short alignment session to understand your stack, sprint cadence, and immediate priorities — then your engineer is in your repo and your Slack, shipping real work in the first week.
Typically within 5–7 business days from signed agreement. We do a short alignment session to understand your stack, sprint cadence, and immediate priorities — then your engineer is in your repo and your Slack, shipping real work in the first week.
Q. Can we scale from one engineer to a larger pod? Yes. Forward Deploy engagements start with a single senior specialist and can scale to a 1–5 person cross-functional pod as your roadmap demands — without switching vendors or restarting onboarding. P3's full bench of engineers, designers, and strategists is available to expand the embedded team as scope grows.
Yes. Forward Deploy engagements start with a single senior specialist and can scale to a 1–5 person cross-functional pod as your roadmap demands — without switching vendors or restarting onboarding. P3's full bench of engineers, designers, and strategists is available to expand the embedded team as scope grows.
Q. How does P3 measure success on an FDE engagement? Against your goals — not ours. Before an engagement starts we align on specific outcomes: features shipped, velocity metrics, efficiency gains, capability milestones. We track against those throughout and hold ourselves to the same 96% on-time delivery standard P3 maintains across all 195+ production deployments.
Against your goals — not ours. Before an engagement starts we align on specific outcomes: features shipped, velocity metrics, efficiency gains, capability milestones. We track against those throughout and hold ourselves to the same 96% on-time delivery standard P3 maintains across all 195+ production deployments.
Q. Who owns the code and IP created during the engagement? You do. All code, documentation, workflows, and AI assets created during a P3 FDE engagement are fully owned by your organization upon delivery. This includes any AI models fine-tuned on your data, prompt libraries, and integration code written for your stack.
You do. All code, documentation, workflows, and AI assets created during a P3 FDE engagement are fully owned by your organization upon delivery. This includes any AI models fine-tuned on your data, prompt libraries, and integration code written for your stack.
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