Most AI Projects Fail
in the Pilot Phase.
Let’s Make Sure
Yours Doesn’t.
87% of AI initiatives never reach production. We identify what will actually work for your business — before you spend a dollar on development.
Why Most AI Projects Fail
The four failure modes we eliminate before you write a single line of code.
Most organizations don’t fail at AI because they lack talent or budget. They fail because they get these four things wrong from day one.
Wrong use case selection
Solving the wrong problem with precision. The AI works perfectly, but it just doesn’t move any metric that matters. We map use cases to actual business outcomes before anything is built.
No clear ROI model
You can’t justify the investment to the board, so the project dies in committee. We build the financial case with real numbers before the first sprint begins.
Data isn’t AI-ready
Garbage in, garbage out, at enterprise scale. We audit your data landscape before you invest in development, so you know exactly what you have and what you need.
Pilot purgatory
It works beautifully in the demo and fails the moment it touches real data. Our production-first architecture decisions kill this risk in the design phase.
What We Deliver
Six consulting deliverables, zero vague recommendations.
Every engagement produces tangible, documented outputs — not slide decks of opinions. Here’s exactly what you get.
We identify 5–10 AI use cases specific to your business, ranked by ROI potential, feasibility, and strategic fit. Not generic ideas — your opportunities, your data, your context.
A forensic evaluation of your data quality, completeness, and infrastructure. We surface gaps, estimate remediation effort, and prioritize by use case dependency.
Every identified opportunity is scored across four axes: business impact, data feasibility, technical risk, and time to value. You leave with a ranked shortlist, not a whiteboard full of ideas.
Board-ready financial cases for each prioritized use case, cost to build, expected return, payback period, and sensitivity analysis. The document that unlocks AI budgets.
A week-by-week plan with milestones, team requirements, infrastructure needs, and decision gates. Detailed enough to start executing on day 91, with or without us.
Custom-built vs off-the-shelf vs hybrid — we give you a documented make-or-buy recommendation with total cost of ownership for each path. No vendor bias. No hidden agenda.
Why AddWeb
Why CTOs choose AddWeb over every other AI consultancy.
Not a pivot. Not a new practice line. An AI-native team built for exactly this.
AI-Native Since 2022.
Not a Pivot. A Foundation.
We didn’t add “AI” to our homepage when ChatGPT launched. Our dedicated AI unit has been running since 2022, before most agencies knew what a vector database was.
LLM Development · MLOps · RAG Architecture
Delivered In Production
50+ Real systems. Not demos.
50+ AI projects shipped and running in production environments, not PoCs sitting in a GitHub repo. Real clients, real data, real results you can measure on a P&L.
eCommerce · Healthcare · FinTech . Manufacturing
Client Implementation Rate 92%
Assessments that Actually Get Built.
92% of our strategy clients proceed to implementation. That number only holds if the roadmap is realistic, the ROI is credible, and the recommendations aren’t generic. Ours are.
Realistic Roadmaps. Honest ROI Models
Security & Compliance
ISO Enterprise-Grade from Day One.
ISO 27001 certified, SOC 2 compliant, US-registered entity. Your data never touches a training pipeline without explicit written consent. Security isn’t a feature, it’s a baseline.
ISO 27001 . SOC 2 . GDPR-Ready . NDA On Request
Is This Right For You?
This is for you if…
We work best with organizations that are genuinely ready to move on to AI, not just curious. Here’s how to know if that’s you.
Good Fit
If you already know what to build, skip ahead to our AI development services. No assessment needed, we’ll get straight to work.
How We Work
Four weeks. From fog to a fully documented AI strategy.
A structured, sprint-based engagement with clear outputs at each stage, so you’re never waiting to know what’s happening.
Step 01
Current state mapping
Stakeholder interviews across leadership, operations, and IT. Data inventory across all sources. Business process mapping to surface AI-eligible workflows.
Step 02
Scoring & benchmarking
Use case scoring matrix built and populated. Data quality assessment completed. Competitive landscape review to understand what’s already working in your industry.
Step 03
Roadmap & ROI build
ROI models constructed for shortlisted use cases. 90-day roadmap drafted. Risk mitigation planning completed. Technology stack selection with rationale documented.
Step 04
Executive briefing & handover
Full-day executive presentation with Q&A. Complete documentation package delivered. Implementation kickoff plan ready if you choose to proceed with development.
Let’s Find Your AI Opportunity
No pitch deck. No commitment. A 30-minute call to understand your situation and tell you honestly if an assessment makes sense.
Your AI Strategy Team
Senior practitioners, not junior associates.
Every engagement is led by a senior AI strategist with real deployment experience, not someone who read about AI last quarter.
Saurabh Dhariwal
CTO & Founder
Technical architect behind 1000+ project deliveries. Leads engineering standards and technology innovation.
Ravi Maniyar
Director, Full Stack
Drives React & Node.js development. Turns complex requirements into clean, scalable code.
Avinash Zala
HOD, Full Stack & AI Engineering
Architects full stack solutions and production-ready AI systems.
Case Studies
AI Success Stories
We let the numbers do the talking. Here’s what happens when AI is built right and shipped into production.
SEO Stream
We created an intelligent automation solution named SEO Stream that changes the way SEO teams perform backlink analysis and domain research. With AI-enabled quality verification, automated workflow coordination with N8N, and a powerful reporting system, SEO Stream allows the removal of repetitive manual work and gives a chance to make decisions based on data and…
City Outreach
We’ve built a digital platform for City Outreach that will make their website more appealing, easier to use, and better able to support people in need.
FAQs
AI Strategy Consulting FAQs
We’ve heard every objection. Here’s how we actually respond — not how a sales deck would.
Our standard 4-week assessment ranges from $5K–$30K depending on scope and organizational complexity. For smaller organizations, a 2-week rapid assessment starts at $4K. The investment typically pays for itself immediately by preventing a failed project, which commonly costs $100K–$500K in wasted development.
No. Evaluating your data landscape what you have, what you need, and how to bridge the gap- is a core part of the assessment. We’ve guided organizations with no data infrastructure through a practical path to AI readiness. The audit tells you what to fix, and in what order.
We’ll validate it rigorously. Our assessment will confirm whether your idea has strong ROI potential or whether higher-value opportunities exist that you haven’t yet considered. Either outcome is valuable; you leave with confidence in your direction, not just enthusiasm for an idea.
A free consultation is a conversation. Our assessment is a rigorous 4-week engagement with documented deliverables, scored use cases, a data audit, financial models, and a roadmap you can act on immediately. It produces outputs with a shelf life measured in years, not the length of a call.
Yes, around 92% of assessment clients continue with us for development. But the deliverables are yours regardless. You can implement with your internal team, another vendor, or come back to us when you’re ready. There’s no lock-in, and we design the roadmap to be vendor-agnostic.
We recommend what’s right for your business, even when that means recommending off-the-shelf tools instead of custom development. Our engagement model doesn’t incentivize us to prescribe complexity. Our reputation, and 92% implementation rate, depends on the assessment being honest, not flattering.