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AI Strategy Consulting
Formulate an actionable enterprise AI adoption roadmap, evaluate foundation models, prioritize high-ROI use cases, and establish responsible AI governance.
Advisory Overview
Typical Engagement: 2 to 4 Weeks AdvisoryWe help leadership and engineering teams navigate AI adoption with technical clarity. Our AI architects conduct hands-on readiness audits, evaluate model architectures (OpenAI, Anthropic Claude, open-source LLMs), architect data and RAG pipelines, and build a phased adoption roadmap aligned with your business goals.
Tangible Deliverables You Receive
- Comprehensive AI Technical Readiness Audit Report
- Phased 12-Month Enterprise AI Implementation Roadmap
- Inference Compute and Token Cost Projection Model
- Target-State Architecture and RAG Pipeline Specifications
- Responsible AI, Data Privacy, and Security Guardrail Guidelines
Framework
Our 4-Step Advisory Process
How our senior technology consultants guide your team from initial audit to production handover.
Step 01
Discovery & Opportunity Audit
We audit existing tech stacks, proprietary data assets, security policies, and strategic priorities to map viable AI opportunities.
Step 02
Feasibility & ROI Scoring
Each proposed AI use case is rigorously scored against technical feasibility, token/compute costs, latency tolerances, and expected ROI.
Step 03
Architecture & Security Blueprint
We design the target-state system architecture, model selection, RAG indexing pipelines, and enterprise security guardrails.
Step 04
Execution Roadmap & Handover
We deliver an executive roadmap complete with sprint breakdowns, team resourcing plans, vendor selection matrices, and KPIs.
Technologies & Supported Stacks
Anthropic Claude APIOpenAI GPT-4oLangChain & LlamaIndexPinecone / Qdrant / WeaviateHugging FaceAWS Bedrock / GCP Vertex AILangSmith / TruLensOllama / vLLM
Business Impact
- Practical implementation blueprints from engineers who build production systems
- Clear token cost and infrastructure modeling before writing code
- Risk mitigation addressing data leakage, hallucination, and compliance requirements
- Vendor-neutral recommendations tailored to your infrastructure requirements
Common Scenarios
- Enterprise AI adoption planning across engineering and operations
- LLM-powered internal workflow automation and developer copilots
- Customer-facing AI product strategy and technical scoping
- Legacy system modernization leveraging agentic pipelines
TRANSPARENT ENGAGEMENT FORMATS
Engagement Formats & Pricing
Choose the advisory structure that matches your current momentum. Fixed scopes, transparent pricing, and zero open-ended billing meters.
Fastest Kickoff 1 to 2 Days Intensive
Executive Workshop
$3,500 / ₹2.5L
Fixed All-Inclusive Investment
Leadership alignment, feasibility scoring, and high-level architecture roadmap before committing team resources.
Core Deliverables:
- Technical AI readiness audit & maturity score
- High-ROI use-case feasibility matrix
- Target-state architecture & model selection blueprint
- Inference compute & token cost forecast model
Most Popular 2 to 4 Weeks Dedicated
Architecture & Delivery Sprint
$9,500 / ₹7.5L
Fixed Milestone Investment
In-depth system design, code repository audits, LLM eval benchmark harnesses, or unblocking complex roadmap features.
Core Deliverables:
- Formal Architectural Decision Records (ADRs)
- Hands-on codebase & security vulnerability review
- Evaluation benchmark harness for LLM accuracy/latency
- Sprint-ready backlog with engineering specifications
Ongoing Leadership Monthly Retainer
Strategic Advisory Retainer
$5,000 / month
Or ₹4L / month (Flexible Commitment)
Fractional Head of AI or CTO advisory, continuous architecture reviews, vendor evaluations, and board technical oversight.
Core Deliverables:
- Weekly executive technical strategy sessions
- Asynchronous architecture & PR code review support
- Vendor due-diligence & AI build-vs-buy analysis
- Priority incident and architectural escalation access
LEAD ADVISORY PRACTITIONER
Advisor Profile
Direct strategic leadership from engineers who have shipped autonomous systems to production under stringent enterprise SLAs.
HEAD OF PRACTICE & FOUNDERDPIIT & Startup India Recognized
Tirth Patel
Founder & CEO, Neno Technology · Co-Founder, Gujarat AI Society & Agentic Bharat
Leading enterprise AI strategy, system architecture, and autonomous platform development at Neno Technology. Over a decade of deep technical experience engineering high-scale distributed backends, low-latency telephony infrastructure (<200ms), and multi-agent production swarms.
“We advise from active production codebases, not theoretical slide decks. Every recommendation we give is grounded in architectures we have personally shipped, hardened, and benchmarked under live enterprise traffic.”
Agentic & Multi-Agent Swarms
Real-Time Voice AI Pipelines
SOC 2, Privacy & Guardrails
Token & Compute Optimization