You will get GenAI Readiness Audit: board-ready strategy in 5 days
Project details
our GenAI pilot works in demo. Getting it past the board — and into production — is where most teams stall.
In 5 days, I'll assess your current state across 5 dimensions: data readiness, infrastructure, use-case prioritisation, build-vs-buy decisions, and organisational readiness. You'll receive a 10–15 slide deck you can present directly to your board or C-suite.
What's included:
→ 90-min discovery call (you + key stakeholders)
→ Assessment across 5 GenAI readiness dimensions
→ Prioritised use-case shortlist (top 3 with effort/impact scoring)
→ Board-ready strategy deck (10–15 slides)
→ 30-min debrief call to walk through findings
You'll leave with clarity on what to build first, what to buy, and what to defer — and a document that gets sign-off.
In 5 days, I'll assess your current state across 5 dimensions: data readiness, infrastructure, use-case prioritisation, build-vs-buy decisions, and organisational readiness. You'll receive a 10–15 slide deck you can present directly to your board or C-suite.
What's included:
→ 90-min discovery call (you + key stakeholders)
→ Assessment across 5 GenAI readiness dimensions
→ Prioritised use-case shortlist (top 3 with effort/impact scoring)
→ Board-ready strategy deck (10–15 slides)
→ 30-min debrief call to walk through findings
You'll leave with clarity on what to build first, what to buy, and what to defer — and a document that gets sign-off.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Sentiment Analysis, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, StreamlitAI Models
BERT, ChatGPT, GPT-3, GPT-4What's included
| Service Tiers |
Starter
$750
|
Standard
$1,200
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 days |
Number of Revisions | 0 | 1 | 2 |
AI Model Integration | |||
Batch Normalization | |||
Database Integration | |||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | ||
Model Deployment | |||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
About Ashish
GenAI Strategy & Agentic AI Architect
Bengaluru, India - 2:41 am local time
I'm an enterprise AI leader with 12+ years across consulting, product, and startups. I've led 100+ GenAI conversations at the enterprise level, closed 5+ new logos as the primary technical authority, and represented my firm's GenAI capabilities directly to Gartner, ISG, and AIM analyst teams.
What I've delivered for clients:
→ $15M incremental EBITDA for New Zealand's largest Telco via propensity and market basket models across 100K leads
→ $40M SKU-level sales forecasting system (800 SKUs) deployed live across US and UK operations for a global CPG firm
→ Supply chain vulnerability detection using graph databases (Neo4j) to map Tier 1–3 supplier risk — pitched to top-tier US clients
→ 6–10% uplift in annual revenue retention via customer churn prediction models at a Stuttgart-based tech firm
→ Represented GenAI & Agentic AI capabilities at Microsoft Build APAC 2024 & 2025 (Thailand, Malaysia, Philippines) — led workshops for senior business leaders that opened new enterprise engagements
What I deliver on Upwork:
- GenAI strategy & roadmaps that get board sign-off
- Agentic AI system design (LangGraph, LlamaIndex, LangChain, vector DBs)
- RAG pipeline architecture, audit, and optimization
- LLM evaluation, vendor selection, and make-vs-buy decisions
- POC-to-production acceleration — hands-on technical leadership
- Fractional Chief AI Officer for companies not yet ready for a full-time senior AI hire
Why clients choose me:
I've operated at every layer — C-suite advisory, solution architecture, and hands-on model building. I built an AI startup from scratch as part of the Antler program (inaugural India cohort — top 3% of 120,000+ applicants) — taking it from zero to a working ML platform before closing it down. I know what it takes to build things that work in production, and how to explain them to a board that doesn't code.
Tech I work with:
OpenAI · Anthropic · Gemini · LangGraph · LangChain · LlamaIndex · RAG · Vector DBs · PyTorch · XGBoost · Neo4j · Azure · AWS · GCP · Snowflake · Databricks · Docker · Kubernetes · MLflow
Steps for completing your project
After purchasing the project, send requirements so Ashish can start the project.
Delivery time starts when Ashish receives requirements from you.
Ashish works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the fitment
Let's understand if we are the right fit for each other. I am always open for a 1:1 time.