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Choose the Right Engagement Structure for Your AI Journey

From dedicated teams to co-building squads, we offer flexible engagement models designed to match your technical goals, delivery timelines, and team dynamics.

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Flexibility Without Compromising on Structure

Every organization has different rhythms, internal capacities, and project scopes. That is why AksharAI offers a choice of carefully structured engagement models—each designed to give you the support you need while maintaining full transparency and delivery alignment.

Whether you are augmenting an existing team or building an entire function from the ground up, our engagement models are built to scale, adapt, and integrate seamlessly into your environment.

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Four Models. Infinite Possibilities.

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A full-time, fully managed team aligned exclusively with your product, platform, or roadmap.

Best For:
  • Long-term AI projects with evolving scope
  • Clients who want ongoing alignment and delivery maturity
  • Organizations building core AI systems, products, or platforms
Includes:
  • Fully staffed technical team across roles
  • Technical oversight and delivery management
  • Structured daily operations, reporting, and documentation
  • Deep alignment with internal processes and tools

You define the priorities. We handle the execution.

Individual roles or small groups integrated directly into your internal team under your management.

Best For:
  • Clients with in-house teams needing extra bandwidth
  • Short-term capacity expansion or niche expertise
  • Organizations managing delivery internally with limited hiring speed
Includes:
  • Specific role-based contributors
  • Rapid onboarding and flexible durations
  • Weekly check-ins and performance management
  • Transparent timesheets and direct point-of-contact

You stay in control. We provide delivery-ready professionals.

A cross-functional team that works closely with your internal leads to build, test, and deploy AI features or systems.

Best For:
  • Collaborative product development
  • Shared ownership of features and architecture
  • Building AI capabilities in agile environments
Includes:
  • Engineers, data scientists, and PMs as needed
  • Sprint-based collaboration and roadmap alignment
  • Shared codebase and documentation responsibilities
  • Continuous integration with internal planning cycles

You bring the vision. We help deliver the execution.

Lightweight, fast-moving teams for experiments, prototypes, or feasibility studies.

Best For:
  • AI R&D, proof-of-concept work, or pre-product evaluation
  • Internal innovation teams and labs
  • Budget-conscious early exploration
Includes:
  • 2 to 4 member teams based on scope
  • Lightweight governance and flexible goals
  • Technical notes, logs, and documentation
  • Clear handover if moved to full-scale execution

You stay experimental. We keep the structure intact.

We Help You Make the Right Engagement Decision

Choosing the right model depends on your goals, team readiness, budget, and timeline. During onboarding, we assess your needs across key dimensions:

  • Scope and maturity of your AI roadmap
  • Internal team size and delivery capabilities
  • Preferred ownership and collaboration style
  • Expected duration and velocity
  • Budget flexibility and scale-up potential

Based on this, we propose the right model—or a hybrid configuration—to maximize your outcomes.

Book a Model Consultation
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Change Models Without Disruption

Our engagements are designed to evolve. If your needs shift over time, we make it easy to transition across models:

  • Move from Staff Augmentation to Dedicated Teams
  • Scale Research Pods into full Delivery Squads
  • Transition Co-Building into productized teams
  • Add or rotate members as your scope changes

We maintain documentation, training logs, and workflow consistency so changes are smooth and outcomes remain stable.

No Matter the Model, Our Standards Remain High

All AksharAI engagement models include:

  • Role-specific onboarding
  • Daily and weekly tracking formats
  • Technical support from senior team members
  • Quality checks and code reviews
  • Feedback capture and team improvement cycles

This ensures delivery excellence, regardless of the team size or scope.

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