Drive Innovation Faster With An Expert Deployed AI Pod Team

AI Pod Services

Build and launch your first AI system in weeks.

Name: AI Pod
Brand: Deployed
Rating: 4.9 (463 reviews)

6 weeks to production. Up to 70% less manual work.Deployed AI Pod combines AI architects, engineers, and product designers to build production-ready AI systems that move beyond pilots and into real workflows.

AI pilots are easy. Production AI is where most teams get stuck.

AI is being tested, but ROI is unclear

Many businesses experiment with AI, but few can connect it to measurable business outcomes that justify further investment.

Internal teams do not have the capacity to build AI

Technology teams are already focused on product roadmaps, customer requests, and operational priorities, leaving little bandwidth for AI delivery.

AI pilots never reach real workflows

Proofs of concept often demonstrate potential but never become part of the day-to-day systems and processes employees actually use.

The scope gets too big too fast

Broad scope, disconnected data, and competing priorities can turn promising ideas into long-running projects with limited business impact.

What is an AI Pod?

AI Pod

Senior-led delivery team

A focused team of AI architects, engineers, and specialists owns the build from scope to handoff.

AI Pod

AI agents accelerate the build

Agents handle coding, testing, and evals. Engineers own decisions and integrations.

AI Pod

KPI defined before build starts

Success is agreed upfront. If we cannot measure it, we do not build it.

AI Pod

Fixed cost

One use case, one agreed cost. No open-ended time-and-materials billing, so you know the investment before the team starts building.

AI Pod

Production-ready in weeks

Your first production system is delivered in 4–6 weeks, without long discovery or stalled pilots.

AI Pod

Built to keep delivering

One Pod is not a one-off. Once the first system ships, the next use case is scoped and ready to build.

Meet the Pod

Lead AI Architect

1 per Pod, 8+ years engineering, 3+ years shipping LLM systems in production. Owns technical scope, system design, and delivery accountability from day one to handoff. Every sprint.

AI Engineers

1–2 per Pod, 5+ years engineering, 2+ years building agents, RAG pipelines, and production integrations. Handles the full build including prompts, evals, APIs, and workflow connections. Every sprint.

Product Designer

1 per Pod, included when the use case is product-shaped: copilots, assistants, or in-product AI surfaces. Owns UX, interaction design, and user-facing output quality. On demand.

Specialist Streams

Scoped per sprint, Data engineers, MLOps engineers, security specialists, and domain experts are brought in when the use case requires them. Not a fixed cost on every Pod. On demand.

How an AI Pod runs

01

01 Scope and Fit:

We identify the highest-value use case, validate feasibility, define the KPI, and lock scope before development begins.

Key deliverables: Use case brief, feasibility confirmation, KPI definition, delivery plan.

Timeline: 2–3 days

02 Build & Validate

The Pod designs, develops, tests, and validates the AI system. AI agents support coding, testing, documentation, and evaluation, while senior engineers provide oversight, own architecture and quality, and make all key decisions.

Key deliverables: Working AI system, integration-ready build, documented architecture.

Timeline: Week 1-4

03 Production Launch

The system is connected to your tools, data, and workflows so real users can begin using it in a controlled production environment.

Key deliverables: Production deployment, workflow integration, access and permissions setup.

Timeline: Week 5

04 Measure and Hand Off

We measure performance against the agreed KPI, train your team, document the solution, and hand off everything needed to operate and scale it independently.

Key deliverables: KPI results, documentation, training, operational handoff.

Timeline: Week 6

How an AI Pod runs

step 1

Scope and Fit:

We identify the highest-value use case, validate feasibility, define the KPI, and lock scope before development begins.

Key deliverables: Use case brief, feasibility confirmation, KPI definition, delivery plan.

Timeline: 2–3 days

step 2

Build & Validate

Key deliverables: Working AI system, integration-ready build, documented architecture.

Timeline: Week 1-4

step 3

Production Launch

The system is connected to your tools, data, and workflows so real users can begin using it in a controlled production environment.

Key deliverables: Production deployment, workflow integration, access and permissions setup.

Timeline: Week 5

step 4

Measure and Hand Off

We measure performance against the agreed KPI, train your team, document the solution, and hand off everything needed to operate and scale it independently.

Key deliverables: KPI results, documentation, training, operational handoff.

Timeline: Week 6

Get a free AI agent
discovery sprint.

Before you commit to an AI Pod, we help you identify the right use case, confirm data readiness, define the KPI, and map what a production AI system could deliver.

A discovery sprint typically costs $13,800+ For a limited number of teams, Deployed is offering it free.

Limited slots available.

17 of 25 free sprints filled.

8 remaining.

Success Stories in Spotlight

A field-service marketplace that turns technician matching into one secure mobile journey

Field Services & Marketplaces Marketplace & Mobile Mobile Marketplace

Laptop and compact tools representing a technician marketplace

View case study

Deployed understood the marketplace vision from day one and built a product that connects technicians and customers in one seamless mobile experience.

Andreas

A calmer first step into dental care through guided assessment and reassuring education

Digital Health Healthcare & Mobile Healthcare Mobile Application

Patient receiving a calm, guided clinical treatment

View case study

Deployed created an experience that feels supportive from the very first screen — exactly the right tone for patients dealing with dental anxiety.

Hans-Jörg Wolff

Dental scoring and treatment information brought into one secure, transparent journey

Dental Technology Healthcare & Data Dental Scoring Platform

Clear dental aligners in a protective case

View case study

The planning and backend work gave us a clear, secure foundation that we can confidently build the scoring features on top of.

Detlef Schultz

Safer dog walks through live video, GPS routes, and incident-ready recording

Pet Safety & Mobility Connected Safety Connected Camera & Tracking Application

Dog wearing a safety harness while exploring a mountain trail

View case study

Deployed understood the urgency behind pet safety and planned a product that connects live video, location, and incident recording into one reliable app.

Tom Norberg

Personalized self-hypnosis sessions designed to fit each listener’s goals and routine

Digital Wellness AI & Wellness AI-Personalized Audio Application

Person relaxing with wireless headphones during a guided audio session

View case study

They mapped out a clear path from concept to launch, and the personalization approach makes every session feel genuinely tailored.

Harald Tröstl

Production-ready AI in as little as 6 weeks. Let’s scope yours.

“Deployed understood the marketplace vision from day one and built a product that connects technicians and customers in one seamless mobile experience.”

Andreas

XPERTS Marketplace · Mobile Marketplace

“Deployed created an experience that feels supportive from the very first screen — exactly the right tone for patients dealing with dental anxiety.”

Hans-Jörg Wolff

Dental Anxiety Adieu App · Healthcare Mobile Application

“The planning and backend work gave us a clear, secure foundation that we can confidently build the scoring features on top of.”

Detlef Schultz

Dental Score App · Dental Scoring Platform

“Deployed understood the urgency behind pet safety and planned a product that connects live video, location, and incident recording into one reliable app.”

Tom Norberg

DogCam Safety App · Connected Camera & Tracking Application

“They mapped out a clear path from concept to launch, and the personalization approach makes every session feel genuinely tailored.”

Harald Tröstl

AI-Powered Personalized Hypnosis App · AI-Personalized Audio Application

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“Deployed understood the marketplace vision from day one and built a product that connects technicians and customers in one seamless mobile experience.”

Andreas

XPERTS Marketplace · Mobile Marketplace

“Deployed created an experience that feels supportive from the very first screen — exactly the right tone for patients dealing with dental anxiety.”

Hans-Jörg Wolff

Dental Anxiety Adieu App · Healthcare Mobile Application

“The planning and backend work gave us a clear, secure foundation that we can confidently build the scoring features on top of.”

Detlef Schultz

Dental Score App · Dental Scoring Platform

“Deployed understood the urgency behind pet safety and planned a product that connects live video, location, and incident recording into one reliable app.”

Tom Norberg

DogCam Safety App · Connected Camera & Tracking Application

“They mapped out a clear path from concept to launch, and the personalization approach makes every session feel genuinely tailored.”

Harald Tröstl

AI-Powered Personalized Hypnosis App · AI-Personalized Audio Application

Build and launch your first AI system in weeks.

AI pilots are easy. Production AI is where most teams get stuck.

AI is being tested, but ROI is unclear

Internal teams do not have the capacity to build AI

AI pilots never reach real workflows

The scope gets too big too fast

What is an AI Pod?

AI Pod

Senior-led delivery team

AI Pod

AI agents accelerate the build

AI Pod

KPI defined before build starts

AI Pod

Fixed cost

AI Pod

Production-ready in weeks

AI Pod

Built to keep delivering

Lead AI Architect

AI Engineers

Product Designer

Specialist Streams

How an AI Pod runs

01

How an AI Pod runs

Scope and Fit:

Build & Validate

Production Launch

Measure and Hand Off

Get a free AI agent discovery sprint.

Limited slots available.

17 of 25 free sprints filled.

8 remaining.

Success Stories in Spotlight

A field-service marketplace that turns technician matching into one secure mobile journey

Andreas

A calmer first step into dental care through guided assessment and reassuring education

Hans-Jörg Wolff

Dental scoring and treatment information brought into one secure, transparent journey

Detlef Schultz

Safer dog walks through live video, GPS routes, and incident-ready recording

Tom Norberg

Personalized self-hypnosis sessions designed to fit each listener’s goals and routine

Harald Tröstl

Production-ready AI in as little as 6 weeks. Let’s scope yours.

Andreas

Hans-Jörg Wolff

Detlef Schultz

Tom Norberg

Harald Tröstl

Andreas

Hans-Jörg Wolff

Detlef Schultz

Tom Norberg

Harald Tröstl

Latest insights & resources

Data Engineering Comes Before AI

A CI/CD Pipeline That Fits a Two-Person Team

What a Discovery Workshop Should Produce

A QA Strategy That Survives Weekly Releases

Why Authentication Is Your First Product Decision

From AI PoC to MVP: What Actually Makes It to Production

Get a free AI agent
discovery sprint.