AI MVP & SaaS Development
From AI Idea to a Product People Pay For
We scope version one around the single job your users will pay for, prove it on real data, and build the product around it: accounts, plans, billing and the dashboards that show what each user costs to serve.
- 10+Years building software
- 150+Projects delivered
- 1 teamFor web, API and mobile
Find Your Starting Point
Building new, or adding to what you have?
Three kinds of AI project, three different pages. Pick the one that sounds like you.
This page Adding AI to software you already run
“Our portal works. We want it to answer questions and read documents.”Assistants, document reading and workflows built into the web or mobile app your team already uses.Go toAI Product DevelopmentAlready built something with AI tools
“Lovable got us a prototype. Now it has to hold up with real users.”We check the app, fix what would break at launch and hand back code you can keep building on.Go toAI Prototype Rescue
Not sure which fits? One call covers all three. Tell us about it
What You Can Launch
Six product shapes, one team to build them
Each comes with a clear version one: what it does on launch day, and who it is for.
AI MVP
The smallest product that proves people want it: one job, done well, in front of real users.
Version one includes
- The core AI step on real data
- Sign-up and a simple dashboard
- Usage and feedback tracking
Good forA demo, a pilot client or an investor round
AI SaaS platform
A product many companies sign up for, each with its own users, data, plan and usage limits.
Version one includes
- Company accounts and roles
- Plans, usage limits and billing
- An admin panel for your team
Good forSelling to teams on a monthly plan
AI mobile app
Flutter or React Native apps where the AI runs through your own API, so keys never ship inside the app.
Flutter developmentVersion one includes
- iOS and Android from one codebase
- Your API between app and model
- Store-ready builds and alerts
Good forConsumer products and field teams
AI agent product
Multi-step work such as research, fill, check and send, sold as a service, with a review step your customer controls.
Version one includes
- A run history for every task
- An approve-or-edit step
- Limits on what the agent may do
Good forBack-office work customers pay to hand off
AI API product
Your model or pipeline sold per call to other developers, with API keys, rate limits and usage billing.
REST API developmentVersion one includes
- API keys and a developer portal
- Rate limits per plan
- Billing by usage
Good forData and model owners
Vertical AI tool
One industry’s documents, words and rules built in, so it fits the work better than a general tool.
Version one includes
- Templates for that industry
- Answers that cite their source
- Checks written with experts
Good forLegal, finance, health and education teams
Need assistants or document reading inside an existing app? See AI Product Development
Scope Version One
An MVP does one job well
Try it on a sample product. Move a feature between the columns and watch the build estimate change: that is the conversation we have in Discovery.
Sample productContract review assistantLawyers upload a contract and see its risky clauses flagged and explained.Tap a feature to move it
MustIn version one
LaterNext releases
Not nowParked for now
Estimated buildIllustrative
6–8weeks (typical, to be confirmed)
- Must4
- Later3
- Not now2
Includes 2–3 weeks for setup, design, testing and launch. Per-feature weeks are typical ranges, confirmed in Discovery.
Idea to Launch
One gate at a time
Five stages, each ending in a question you answer with evidence. The next stage starts only when the gate opens.
- 1–2 weeks (typical, to be confirmed)
Discovery
Scope, user journeys and a cost model, agreed before anything is built.
You getA scoped plan and a cost per user
GateIs the job worth paying for?
- 2–3 weeks (typical, to be confirmed)
Prototype on real data
The core AI step working on your data and scored on a test set.
You getA working prototype and its scores
GateIs it accurate enough?
- 4–8 weeks (typical, to be confirmed)
MVP build
Accounts, the core flow, billing and the admin panel.
You getA product first users can pay for
GateCan first users finish the job alone?
- 2–4 weeks (typical, to be confirmed)
Private beta
Ten to fifty invited users, their feedback and the fixes it leads to.
You getReal usage and a ranked fix list
GateDo they come back?
- Ongoing
Launch and grow
The public launch, then model and cost tuning as usage grows.
You getUsage, cost and feedback reviews
ReviewsAt 30 and 90 days (typical, to be confirmed)
Dashed durations are typical ranges, confirmed for your product at the end of Discovery.
How we make each AI feature safe: AI Product Development
Start with Discovery. One call tells us the job your product does, and you leave it with the questions the first gate will ask.
Plan My AI MVPProduct Foundations
What a paid AI product needs besides the model
Eight modules every AI SaaS ends up needing. We plan them in from the start, so launch day isn’t spent building a billing page.
Sign-up and teams
Email, Google and single sign-on, with roles for each team.
Company data kept apart
Each customer’s records separated, so no account sees another’s.
Plans and billing
Trials, monthly plans, invoices and failed-payment retries.
Stripe · Razorpay (example tools, to be confirmed)AI credits and limits
A monthly allowance per plan, with a warning before it runs out.
- AI coreYour model, prompts, test set and fallbacksPromptsTest setFallbacksCost caps
Admin panel
Users, plans, refunds and support tools for your own team.
Onboarding emails
A welcome, first-use tips and a nudge when a trial goes quiet.
Product analytics
Which features people use, where they stop and who comes back.
Quality and cost dashboard
Answer scores and model cost per user, for every release.
Dashed tool names are examples, chosen for your market in Discovery.
Cost Per User
What will each user cost to serve?
Model costs grow with every user. Set your numbers and see the monthly bill, the cost per user and the price that keeps your margin.
1,000 users · 100 requests each · Small modelIllustrative
Model cost per month
Cost per user
Price per user, keeping 70% margin
On model cost alone. Hosting, support and payment fees come on top, and we add them in Discovery.
Rates as of September 2026 (example rates, to be confirmed)Example rates of $0.50 (small) and $12 (large) per 1,000 requests of about 2,000 tokens. Real costs depend on your prompts; we price them in Discovery.
Ideas by Market
Ideas we’d explore with you
Starting points for a new product in five markets. Pick yours to see where an AI product could earn its first customers.
Legal
- Clause finder
Finds the clauses that matter across hundreds of contracts, and says where each one is.
- Research assistant
Answers questions from case files and statutes, citing every source it used.
- Engagement-letter drafts
A first draft from the intake notes, ready for a lawyer to edit.
Before we buildAnswers you can checkEvery answer cites its clause and page, and a lawyer approves anything before it leaves the firm.
Finance
- KYC document checks
IDs and company papers read, matched and flagged for a person to review.
- Credit-memo drafts
A first memo from the financials and notes, in your house format.
- Data-room answers
Questions answered from the data room, with the page each answer came from.
Healthcare
- Clinical note drafts
A structured note from the consultation, for the clinician to check and sign.
- Patient intake triage
Intake forms sorted by urgency, with the reason for each shown.
Before we buildCompliance comes firstBefore any build, a compliance review settles where data is stored, who can see it, and what the product may and may not suggest.
Education
- Lesson planner
Weekly plans built from the curriculum and each learner’s pace.
- Progress summaries
Plain-language updates for parents, from logs and assessments.
- Practice questions
New questions at the right level, checked by a teacher first.
Also from our portfolio: Singapore Brain Dev. Center
Marketing
- Ad copy variants
Headlines and descriptions for each audience, inside your brand rules.
- Budget suggestions
Where to move spend next week, based on last week’s results.
- Campaign summaries
A weekly report in plain words instead of a dashboard export.
Why AmCodr
A product team around the model
Launching is a product problem as much as an AI one. We plan both.
Scoped to a launch date
We cut features, not the date. The scope board above is how we decide together what waits.
Product thinking, not just code
Pricing, onboarding and the numbers to watch are part of the plan from Discovery.
Web and mobile from one team
Laravel, React and Flutter around the same API, so every platform ships together.
We stay after launch
Usage and cost reviews after launch, then monthly care if you want it.
At 30 and 90 days (typical, to be confirmed)
AI products we’ve shipped
AI scope by AmCodr (to be confirmed)
Good to Know
Questions before a new AI product
Short answers to what founders ask us most. Which model to use, data safety and running costs are answered on AI Product Development.
+91 97123 07570Mon–Fri, 9:30 AM – 7:00 PM ISTHow long does an AI MVP take?
It depends on how much the core AI step has to prove and how many features are Must-haves. Discovery ends with a dated plan, so you know the launch week before the build starts, and after that we cut features rather than move the date.
What’s the difference between this and AI Product Development?
AI Product Development adds AI to software you already run, such as an assistant inside your portal. This service builds a new product with AI at its centre, including the accounts, plans and billing around it.
Can you build the whole SaaS, including billing and admin?
Yes. Sign-up and teams, company data kept apart, plans, billing, usage limits and the admin panel are part of the MVP plan, built by the same team that builds the AI part, for web and mobile.
How do we keep model costs below what users pay?
We price it before we build it. Discovery gives a cost per user from your real prompts, each plan gets an AI credit limit, and a dashboard shows the cost per user from the first release. Where it helps, simple requests go to a smaller, cheaper model.
Who owns the code, prompts and data?
You do. The code, prompts, test sets and data live in your repositories and cloud accounts, under your own API keys, from the first day.
Can you build something we can show investors, and sign an NDA first?
Yes. We sign an NDA before you share any details. A working prototype on real data, with its test scores, often makes a stronger investor demo than slides, and the cost model answers the margin question early.
What happens after the MVP launches?
We review usage, cost and feedback with you and plan the next release from what users actually do. After that, many teams keep us on a monthly plan for new features, model updates and support.
An AI tool or another team started our product. Can you take it over?
Yes. If it was built with an AI app builder, AI Prototype Rescue checks it and makes it safe for real users first; then we carry on building the product with you.
Plan My AI MVP
Tell us about the product you want to launch
The job it does and who pays for it is enough to start. We’ll tell you honestly what version one should include, and what can wait.
- A reply within one working dayFrom an engineer, not a sales script.
- A 30-minute scoping callWe find the one job version one must do.
- A written next stepScope, stages and a first cost range.
Prefer email? info@amcodr.com