Move Your AI App from Prototype to Production in 90 Days

Stop letting architecture bottlenecks, data integration gaps, security concerns, and engineering shortages stall your AI product development process.

ClickIT provides dedicated AI, data, and  full-stack engineers embedded directly into your project requirements and tech stack to deliver production-grade AI applications.

ClickIT AI Delivery

ClickIT’s 90-Day AI Product Development Plan

Month 1

Product Scope & Engineering Foundation

Week 1

Technical Audit & Project Scope

Review current AI code, project requirements, prompt logic, vector databases, and AI model integration workflows

Identify latency bottlenecks, security risks, and scaling limits.

Week 2

Architecture & Security Blueprint

Design production-grade RAG/Agent pipelines on AWS.

Define data governance, access controls, model evaluation criteria, and enterprise security standards.

Weeks 3–4

Team Onboarding & Pipeline Setup

Dedicated Full-Stack & Agentic AI engineers onboarded into your own follow-up tools: GitHub, Slack, and Jira.

Set up staging environments, code repositories, and autonomous agent evaluation frameworks to accelerate product delivery.

Deliverable

Approved Production Architecture Blueprint + Dedicated AI Engineering Team active in your stack.

Month 2

Core Engineering & Optimization

Week 5 - 6

Core Application & Workflow Build

Engineer secure RAG systems, multi-agent workflows or full-stack authentication layers

Connect core business databases, APIs, and enterprise auth layers.

Week 7 - 8

Latency, Cost & Performance Tuning

Optimize model context, agent reasoning prompts, and agent fallback mechanisms to minimize token latency.

Implement fallback mechanisms and error-handling routines for high reliability.

Deliverable

Functional  Full-Stack Agentic AI build deployed in a staging environment.

Month 3

Hardening, Deployment & Knowledge Transfer

Week 9 - 10

Full-Stack Hardening & AI Observability

Integrate end-to-end full-stack deployment workflows and automated agent testing.

  •  agent accuracy, decision logs, response times, and token usage optimization.

Week 11

Production Launch

Phased rollout to live users with continuous load monitoring and automated alerts.

Weeks 12

Handoff & Knowledge Transfer

Deliver complete full-stack application documentation, agentic workflow specs, and developer guidelines.

Conduct technical walkthroughs with the internal engineering team.

Deliverable

Production release with full-stack agent observability, architecture documentation, agent behavior specs, and internal team enablement.

Take Your AI Prototype to a Production-Ready Application

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Innovation Is A Click Away

How We Work

Our AI Engineering Delivery Models

We adapt to your business needs, timelines, and internal capabilities through flexible engagement models.

Scoped & predictable

Fixed-Price Projects

We scope the work upfront and agree on a fixed price based on estimated hours and deliverables.

Staff Augmentation

Dedicated Engineers

A fixed monthly rate per engineer, working as an extension of your team.

Flexible engagement

Time and Materials

Flexible engagement based on actual hours worked. Ideal for evolving projects where scope and priorities change frequently.

Not sure which model fits your case? Learn more →

Why ClickIT

Why Leaders Partner with ClickIT for AI Product Development

Embedded Nearshore Engineers

Senior LATAM talent working in your exact US time zone, fully aligned with your culture and tools.

AWS Advanced Partner

Deep cloud infrastructure, security, and scalability credentials with 50+ team certifications.

One Accountable Partner

Complete delivery ownership and DevOps practices, not an unreliable staffing body shop.

Enterprise-Grade Security

Compliance-ready frameworks, data governance, and SOC 2-aligned delivery processes.

Ready to Turn Your Prioritized AI Use Case into Production Software?

Your AI product development shouldn’t be stuck in pilot mode. Talk directly with our full stack engineers to review your technical bottlenecks, and map out a focused 90-day product delivery plan.