Comprehensive AI Consulting for Every Stage
From strategy to implementation—delivering measurable value at each step
From strategy to implementation—delivering measurable value at each step
Challenge: Need strategic guidance for AI adoption without full-time executive hire
Define business-driven AI strategies with governance and risk built in from the start
Fractional CTO AI Playbook
AI Risk AssessmentAI Strategy & Governance
Ideal for: Startups and enterprises seeking hands-on AI leadership
Challenge: Moving from POC to production-ready AI products is challenging
Full product lifecycle support—from proof-of-concept to scalable, reliable platforms
Explainable AI Automation Workflows
Architecture Guidance POC - MVP - Production
Ideal for: Organizations building AI-powered products and platforms
Challenge: Inconsistent, low-quality, and unsafe prompts leading to unreliable AI outputs, hidden risks, and poor business adoption
Design, standardize, evaluate, and govern prompts to make AI systems accurate, safe, scalable, and enterprise-ready
Prompt Design Prompt Testing
Prompt Versioning Bias & Safety Controls
Prompt Orchestration Best Practices
Ideal for: Organizations deploying GenAI who need reliable, governed, and business-aligned prompt practices
Challenge: Uncertainty about how to leverage AI Tools, LLMs and GenAI in business processes
Implement practical GenAI solutions—from RAG systems,AI copilots and AI Agents
LLM Integration RAG Frameworks
Fine-tuning & Prompting Workflow Automation
Ideal for: Organizations exploring or scaling generative AI capabilities
Challenge: Legacy systems limiting AI augmentation and digital transformation
Modernize enterprise applications with AI-powered automation and cloud migration
Oracle Fusion & EBS AI Augmentation
SCM/HCM/Finance AWS & OCI Solutions
Ideal for: Enterprises modernizing legacy ERP and cloud infrastructure
Challenge: Data silos and lack of AI-ready infrastructure blocking progress
Build data foundations—strategy, governance, pipelines, and analytics platforms
AI Powered Data Analysis Analytics & BI
Data Engineering ML Pipelines
Ideal for: Organizations building data-driven decision-making capabilities