Boost Business Resilience with AI, Automation and Outsourcing
The Enterprise
AI Factory That Ships
Production AI
A dedicated AI production team, embedded in the enterprise, accountable for outcomes from first build to full scale.
The Enterprise AI Factory Built to Deliver More
Accelerate AI adoption, simplify execution, and sustain business impact with an AI Factory.
The Structural Gaps AppsTek’s Enterprise
AI Factory Is Built to Close
Capacity, ownership, and continuity break in most enterprises, which is precisely where the AI factory steps in.
Limited Production
Capacity
Enterprise teams identify high-value AI opportunities but often lack the specialized engineering, MLOps, and data expertise needed to consistently move AI into production.
Fragmented AI
Ownership
AI initiatives span business, IT, data, and operations. Without unified ownership, delivery slows, accountability becomes unclear, and enterprise adoption suffers.
Projects Instead of
Programs
AI is frequently funded as a short-term project rather than an enterprise capability, making it difficult to build lasting governance, knowledge, and operational maturity.
Operational and Governance Gaps
Production AI requires governance, monitoring, lifecycle management, and optimization. Without a structured operating model, AI becomes difficult to scale and sustain.
AI Factory Delivery Models Built Around Enterprise Maturity
Each AI factory tier matches a maturity stage, from first deployment through governance to continuous production
Built for the business
Assembled around business priorities, technical requirements, and AI maturity.
Oracle Alignment
Operating within a single client environment with exclusive, ring-fenced delivery capacity.
Accountable for outcomes
Owning delivery milestones, operational performance, and agreed service levels.
Embedded for the long term
Supporting, optimizing, governing, and expanding AI solutions after deployment.
The Right AI Factory POD for Every Enterprise Challenge
Each AI factory tier aligns with a specific maturity stage, assembling the right team for each engagement to support progression from first deployment through governance and continuous production while eliminating wasted capacity.
Tier 01
Foundation POD
Launch the first production AI solutions while establishing data readiness and governance.
Ideal for
Organizations beginning their AI transformation.
Included
3 roles
Dedicated
0 roles
Pod Roster
Roles assembled for this tier
AI Delivery Lead
AI Engineering
Data Engineering
✓Included
✓Included
✓Included
AI Architecture
Activated as required
Industry Specialists
Activated as required
MLOps
Activated as required
Quality Engineering
Available
Change & Adoption
Available
Additional Specialists
On demand
Tier 02
Growth POD
Expand successful AI initiatives across business functions with stronger governance and operational maturity.
Ideal for
Organizations scaling multiple AI initiatives.
Included
6 roles
Dedicated
0 roles
Pod Roster
Roles assembled for this tier
AI Delivery Lead
AI Engineering
Data Engineering
✓Included
✓Included
✓Included
AI Architecture
✓Included
Industry Specialists
✓Included
MLOps
✓Included
Quality Engineering
Available
Change & Adoption
Available
Additional Specialists
On demand
Tier 03
Scale POD
Operate AI as a continuous enterprise capability with lifecycle management, governance, optimization, and outcome-driven delivery.
Ideal for
Organizations running AI across multiple business units.
Included
3 roles
Dedicated
5 roles
Pod Roster
Roles assembled for this tier
AI Delivery Lead
AI Engineering
Data Engineering
✓Included
✓Included
✓Included
AI Architecture
Dedicated
Industry Specialists
Dedicated
MLOps
Dedicated
Quality Engineering
Dedicated
Change & Adoption
Dedicated
Additional Specialists
On demand
An AI Factory Built by an AI-Native Operator
Demand for factory AI is outpacing supply, and we deploy production capability in weeks rather than quarters
Dedicated AI Factory PODs
Dedicated AI Factory PODs configured around business priorities, technical requirements, and AI maturity.
Outcome-Driven Delivery
Outcome-focused execution with measurable milestones that track business value.
Enterprise AI Governance
Built-in governance for secure, compliant, and responsible AI delivery.
Adaptive Delivery Model
Capabilities evolve alongside changing priorities and enterprise AI maturity.
Continuous AI Operations
Continuous monitoring, optimization, and lifecycle management for production AI.
Built for Enterprise Growth
A scalable delivery model that supports long-term enterprise AI adoption.
Frequently Asked Questions (FAQs)
The AppsTek Enterprise AI Factory is a standing production capability that carries AI use cases through intake, build, deployment, governance, and continuous optimization inside the client environment. Its delivery vehicle is the AI Factory POD, a dedicated team accountable for outcomes rather than hours.
The AI Factory POD closes the pilot-to-production gap by placing a dedicated AI production team inside the enterprise and contracting on outcomes agreed before work begins. Every use case moves through a structured workflow of intake, build, deployment, and optimization, turning experiments into systems that live in production.
The AI Factory POD is a dedicated AI production team. It arrives fully assembled, deploys per client with exclusive delivery capacity, embeds in the client environment, and stays contracted on outcomes with AppsTek retaining full accountability for delivery and team performance.
AppsTek owns the outcome. Success metrics are defined before deployment, commercial terms are milestone-based, and a missed benchmark means a withheld invoice. This shared-risk model is what separates the AppsTek’s artificial intelligence factory from time and material consulting or hourly staffing.
The AI Factory POD is assembled around the business rather than a fixed template. Every engagement includes AI Delivery Lead, AI/ML Engineer, and Data Engineer as core roles, with AI Architect, Domain SME, QA/Testing Engineer, and Change & Adoption Lead added by tier. Composition is confirmed at kickoff and AppsTek retains full accountability regardless of configuration.
The AI Factory POD comes in three tiers configured by AI maturity. Foundation suits enterprises early in the journey with incomplete data infrastructure. Growth suits enterprises scaling one to three live AI solutions and building governance. Factory suits mature programs that want a standing production capability backed by outcome SLAs.
A Foundation POD can be deployed within weeks, with the first production AI solution typically delivered inside a three to six month engagement. Growth PODs run six to twelve months and Factory PODs run twelve months or longer, backed by outcome SLAs and designed to scale progressively as production AI compounds in value.
Every opportunity moves through five stages: problem intake, POD assembly, outcome contracting, sprint-based build and deployment, and post-launch optimization. Delivery runs in two-week sprints with demo checkpoints, and the POD continues to monitor, tune, and expand use cases after go-live rather than winding down.
Traditional consulting exits with a deliverable, and staff augmentation transfers hours while leaving outcome ownership behind. The AppsTek AI Factory keeps team ownership with AppsTek, ties commercial terms to milestones, and shares risk through outcome SLAs, which turns the engagement into a production capability the enterprise deploys rather than a service it consumes.
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Accelerate Enterprise AI Delivery
The operating model for production-ready AI.





