Designed to Maximize Your Business Value at Every Stage

A Transparent Workflow to Get Pre-Configured AI Teams

1. Submit Your Project

Share your project requirements, goals, budget, and timeline through our platform.

2. Get a Tailored Team Proposal

Scouts match your needs with top talent from the resource pool and propose a customized POD team.

3. Review & Approve the Team

Review the proposed team structure, skill sets, cost, and experience. Approve or request changes as needed.

4. Choose Your Engagement Model

Select from flexible options - hourly, project-based, or milestone-based engagement.

5. Team Onboarding & Kickoff

Once approved, the team is onboarded and starts working on your project immediately.

6. Project Delivery & Support

Receive regular updates, track milestones, and get your AI project delivered efficiently.

Let's Understand

Explaining Our Transparent, Step-by-Step Workflow

Your Seamless Route to Pre-Configured AI Teams That Deliver Results.

 

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Step 1: Submit Your Project

It starts with you.
You provide us with your project requirements, including the business goals you aim to achieve, technical scope, preferred technology stack, budget constraints, and expected timelines. This input can be submitted through our intuitive online platform or via a direct consultation with our team.

Our goal is to fully understand the problem you’re solving and the type of AI expertise required—from machine learning and NLP to data engineering, MLOps, computer vision, and more.

Step 2: Get a Tailored Team Proposal

Once your requirements are in, our internal Talent Scouts and AI Delivery Strategists get to work.

We match your project with the most relevant professionals from our pre-vetted talent pool and assemble a customized POD (Project-Oriented Delivery) team. This includes data scientists, AI engineers, solution architects, project managers, and domain experts, depending on your needs.

You’ll receive a detailed proposal outlining:

  • Team composition and roles
  • Relevant experience and case studies
  • Technology alignment
  • Timeline estimates
  • Budget breakdown

Every team we propose is curated not only for skill match but also for cultural fit and operational readiness.

Step 3: Review and Approve the Team

You now have complete visibility into the team structure, skillsets, cost, and experience. This is your opportunity to assess and refine the proposal based on your preferences.

Need to switch a team member for someone with deeper domain knowledge? Want to adjust delivery timelines or budgets? Our process is designed to accommodate your feedback, no hidden charges, no last-minute surprises.

We proceed only once you’re 100% satisfied with the proposed team.

Step 4: Choose Your Engagement Model

We recognize that different enterprises have different operational needs. That’s why we offer multiple flexible engagement models:

  • Hourly Model: Ideal for agile environments, PoCs, and dynamic requirements. Pay for the time used.
  • Project-Based Model: Set scope, deliverables, and pricing upfront—best suited for fixed-outcome engagements.
  • Milestone-Based Model: Break the project into measurable phases, with payments and reviews tied to each milestone.

Our models ensure cost control, predictability, and flexibility to scale as your project evolves.

Step 5: Team Onboarding & Immediate Kickoff

Upon your approval, we begin rapid onboarding. Our delivery team handles:

  • All documentation and NDAs
  • Platform and access setup
  • Knowledge transfer sessions (if applicable)
  • Communication protocols and tools

Your AI team is up and running within days, not weeks. Whether you prefer asynchronous work, daily stand-ups, or shared dashboards, we tailor the operational flow to your style.

Step 6: Project Delivery, Tracking & Ongoing Support

We don’t just deliver code—we deliver outcomes. Once execution begins, you receive:

  • Regular progress updates
  • Milestone reviews
  • Performance reports
  • Transparent time tracking

We align closely with your internal teams or stakeholders to ensure smooth integration with your infrastructure or ongoing business processes. Even after project completion, we stay available for support, enhancements, and knowledge handover.

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