Know what to build before you spend on building it.
Most AI budgets die on the wrong use-case. Our strategy and sprint work finds the one that pays back, then proves it on your data.
What is AI strategy and discovery?
Eazyware's AI strategy and discovery services help you decide what to build before you spend on building it: a readiness audit and roadmap, a ten-day discovery sprint, a three-week proof of concept on your data, and a six-week AI MVP. Each is fixed-price and credited toward the next step.
AI Strategy & Discovery services
4 services in this line, each with a published starting price.
Why businesses invest in AI consulting before they build
Most AI budgets are lost before a line of code is written: the wrong use-case is chosen, the data is not ready, running costs are never estimated, or a vendor is picked before the problem is defined. AI strategy consulting fixes that sequence. A readiness assessment tells you what your data and systems can support today, a use-case discovery ranks ideas by return rather than by excitement, and a costed roadmap turns the result into a build plan with a fixed price attached. Companies that start with a ten-day discovery sprint or a three-week proof of concept spend less on the eventual build, not more, because the first version is scoped on evidence.
What businesses hire us for
The requests that most often turn into AI consulting engagements.
- 01
AI readiness assessment
Audit of data, systems, security and skills before an AI programme starts
- 02
AI use-case discovery workshop
Rank candidate use-cases by ROI, effort and risk with your stakeholders
- 03
AI roadmap and architecture
A sequenced plan, reference architecture and monthly cost model
- 04
AI proof of concept services
Prove a model on your own data against agreed accuracy thresholds
- 05
AI MVP development
A production minimum viable product with AI in the core, live in six weeks
- 06
AI vendor and model selection
Independent benchmarks across OpenAI, Anthropic, Google and open-weight models
Who this is for
- Founders and product leaders with an AI idea and a budget to protect
- CTOs and heads of engineering asked for an AI roadmap by the board
- Enterprises running an AI RFP that need an architecture and a cost model first
- Companies that tried an AI pilot that never reached production
What you can expect
- A ranked, costed list of AI use-cases you can defend to finance
- A fixed-price proposal for the first build, with the fee for discovery credited
- Evidence on your own data before committing to a full programme
- A roadmap that sequences foundations before features
How to choose an AI consulting company
- 01They benchmark on your data, not on a vendor's demo set
- 02They estimate running cost per month, not just build cost
- 03They are model-agnostic and can show you comparisons
- 04Their strategy ends in a build proposal they will deliver themselves
- 05They say no when the honest answer is buy, wait or do not build
How much does AI consulting cost?
AI strategy consulting at Eazyware starts at $4,250 (about ₹2.8 lakh) for a two-to-four-week engagement. A ten-day AI discovery sprint is a fixed $3,250 (₹2 lakh), credited in full against any build that starts within 60 days. A three-week AI proof of concept runs $6,250–10,500 (₹4–6.8 lakh), and a six-week AI MVP is fixed-price between $26,500 and $45,500 (₹17.5–30.5 lakh). Every price is published in INR and USD on the pricing page; Indian clients are invoiced with GST, international clients in USD.
Why Eazyware for AI consulting
- Engineers who ship AI to production run the strategy work, so estimates come from people who will build
- Fixed prices and fixed dates for every discovery and proof-of-concept programme
- Bengaluru delivery with New York and London studios; IST, UK and US East hours covered
- We build and operate our own AI-native SaaS suite, so the advice is tested on our products first
Industries we serve
Clients across India, the Middle East, Europe, North America, Africa and Australia. Delivery from Bengaluru with New York and London studios.
AI Strategy & Discovery: common questions
01Is this just consulting?
No. The output is a build-ready specification and a fixed-price proposal.
02What if the answer is no?
You'll know in ten days for the price of a sprint instead of six months for the price of a build. We'll tell you plainly.
03POC versus Sprint Zero?
Sprint Zero estimates. ProofRun builds and measures.
04How much does AI consulting cost?
AI strategy consulting at Eazyware starts at $4,250 (about ₹2.8 lakh) for a two-to-four-week engagement. A ten-day AI discovery sprint is a fixed $3,250 (₹2 lakh), credited in full against any build that starts within 60 days. A three-week AI proof of concept runs $6,250–10,500 (₹4–6.8 lakh), and a six-week AI MVP is fixed-price between $26,500 and $45,500 (₹17.5–30.5 lakh). Every price is published in INR and USD on the pricing page; Indian clients are invoiced with GST, international clients in USD.