You will get AI opportunities identified and an automation roadmap
Rising Talent
Project details
Most companies don't have an AI problem — they have a prioritisation problem. There are dozens of places AI could theoretically help, but no structured way to evaluate which ones are worth pursuing, which require too much effort for too little return, and which could be automated today with tools they already own.
This engagement is for Founders, CTOs, and Operations leaders who want a clear, defensible answer to the question: where should we actually invest in AI? I conduct a structured scan across your business functions, score each opportunity against impact and implementation effort, and deliver a prioritised automation roadmap your leadership team can act on — or present to a board.
You walk away with a written AI opportunity scan, a use case prioritisation matrix, and a phased roadmap. No vendor bias. No implementation commitments. Just a clear strategic picture of where AI creates real leverage in your specific business.
This engagement is for Founders, CTOs, and Operations leaders who want a clear, defensible answer to the question: where should we actually invest in AI? I conduct a structured scan across your business functions, score each opportunity against impact and implementation effort, and deliver a prioritised automation roadmap your leadership team can act on — or present to a board.
You walk away with a written AI opportunity scan, a use case prioritisation matrix, and a phased roadmap. No vendor bias. No implementation commitments. Just a clear strategic picture of where AI creates real leverage in your specific business.
AI Algorithms
Large Language Model, Linear Discriminant Analysis, Multilayer Perceptron, Multimodal Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Time Series AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
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 | - | - | - |
Optional add-ons
You can add these on the next page.
AI Use Case Prioritization Matrix
(+ 2 Days)
+$250
Implementation Cost & Effort Estimate
(+ 3 Days)
+$400
Vendor & Tool Recommendation Report
(+ 3 Days)
+$300Frequently asked questions
About Neerav
CRM & AI Systems Architect | RevOps & Fractional CXO
Bengaluru, India - 12:36 am local time
Most AI product builds in professional services fail at the same point — not because the model is wrong, but because nobody designed the pipeline between raw data and publishable, compliant output before the build started.
I work with founders and product teams to fix that upstream — designing the architecture that defines what the AI handles, where humans stay in the loop, and what the system needs to look like before it can scale without creating liability.
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CRM Architecture & RevOps Systems:
Most CRM and technology initiatives fail not because of the tools chosen — but because the underlying system design was never right to begin with.
I work with SaaS founders, operations leaders, and growing companies to fix that — designing CRM architectures, AI-enabled workflows, and RevOps systems that actually match how the business operates.
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Where I typically get brought in:
• AI workflow systems where the generation layer gets built before the compliance, review, or data architecture is designed
• CRM that's become a data graveyard — reps aren't using it, pipeline data isn't trusted, and leadership has lost visibility
• Technology decisions that keep getting delayed because nobody has architectural clarity
• AI adoption efforts that stalled after the proof-of-concept because nobody designed the operational integration
• Companies scaling past the point where their current systems can support growth
Selected outcomes from past engagements:
• Stabilized and scaled a $12M ARR healthcare SaaS platform through full architecture modernization
• Delivered ~$8–10M in process efficiency through CRM and operational transformation
• Designed and led CRM architecture deployed across 55+ countries supporting commercial and medical functions
• Led engineering and platform teams of 50–70 professionals across global programs
I work as an independent consultant and fractional executive — which means you get enterprise-grade architecture thinking without the full-time CXO cost.
If you're dealing with a broken platform architecture, a stalled AI initiative, or a scaling decision that keeps getting deferred, I'm happy to start with a focused diagnostic conversation.
Steps for completing your project
After purchasing the project, send requirements so Neerav can start the project.
Delivery time starts when Neerav receives requirements from you.
Neerav works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements
You submit your requirements. I review your current tool stack, workflows, and any process documentation before our discovery session.
60-minute session
We complete a 60-minute structured discovery session mapping your business functions, pain points, and automation goals.