At a glance

Know if your AI product works before you pay to build it

Product Scoping

Book a Free Strategy Call Explore the service

Free 30-min call. No pitch, no slides.

Your code. Your infrastructure. Production guardrails. Built around your workflow. One accountable engineering team.

What product scoping actually covers

What it is

Scoping is not a slide deck. The core of the sprint is a working prototype of the riskiest part of your product: can the model actually do the job on your real inputs, at a cost per task that leaves you a margin? Everything else in the plan hangs on that answer.

Around the prototype we map the boring 70% that makes AI products real: data access, auth, queues, rate limits, cost caps, and the human-review path for when the model is wrong. That is where most estimates lie, so it is where we spend the mapping time.

You get the findings either way. If the honest answer is "do not build this yet", we say so and show you what would have to change. That outcome costs you a sprint instead of a failed project.

Is this the right fit?

Fit check

Where this wins

Founders sizing an AI product idea

You have the idea and maybe designs; you need to know cost, timeline, and whether the AI core is feasible before raising or committing budget.

Teams stuck between vendors

Three quotes, three different architectures, no way to compare. A neutral scoping pass gives you the technical ground truth to decide on.

Products with one scary unknown

The app is standard except one hard part: extraction quality, latency, cost at scale. We prototype exactly that part first.

Founders sizing an AI product idea You have the idea and maybe designs; you need to know cost, timeline, and whether the AI core is feasible before raising or committing budget.
Teams stuck between vendors Three quotes, three different architectures, no way to compare. A neutral scoping pass gives you the technical ground truth to decide on.
Products with one scary unknown The app is standard except one hard part: extraction quality, latency, cost at scale. We prototype exactly that part first.

When NOT to use this

You already have a validated spec and a team; you need builders, not scoping.
There is no real example data to test against; scoping against guesses produces guesses.
The decision is already made and the sprint would only be documentation theater.

How the scoping sprint runs

How it works

One to two weeks, fixed scope. The prototype comes first because everything else depends on it.

Typical timeline

Stack we build with

Claude (API) · Next.js · Supabase · n8n · PostHog

Inputs and success criteria

We collect 10-20 real input examples and define what an acceptable output looks like, including what is unacceptable.

Riskiest-assumption prototype

The AI core gets built against your examples: model choice, prompting, and the quality-cost tradeoff measured, not guessed.

System mapping

Data sources, auth, integrations, hosting, compliance constraints, and the human-review path get mapped into an architecture.

Honest sizing

Build phases with estimates, the assumptions behind each number, and what would move them.

Decision readout

Build, change the approach, or stop: we present the evidence and our recommendation, and you keep everything either way.

01 Inputs and success criteria We collect 10-20 real input examples and define what an acceptable output looks like, including what is unacceptable. Deliverable Eval criteria and example set
02 Riskiest-assumption prototype The AI core gets built against your examples: model choice, prompting, and the quality-cost tradeoff measured, not guessed. Deliverable Working prototype with measured quality and cost per task
03 System mapping Data sources, auth, integrations, hosting, compliance constraints, and the human-review path get mapped into an architecture. Deliverable Architecture recommendation
04 Honest sizing Build phases with estimates, the assumptions behind each number, and what would move them. Deliverable Execution plan with phased estimates
05 Decision readout Build, change the approach, or stop: we present the evidence and our recommendation, and you keep everything either way. Deliverable Readout call and full artifact handover

Scoping engagements we run

Use cases

Legal & Compliance Automation

Saved €10K in Fines

Customer Support Automation

AI feature inside an existing SaaS

Will the model do the job well enough to charge for? Measured on your data before you commit a quarter.

Document-heavy workflow products

Extraction and classification quality is the product; we measure it first.

Agent products

Multi-step agents fail in ways demos hide. We prototype the failure modes, not just the happy path.

Chat and support products

Groundedness against your knowledge base, measured with an eval set you keep.

Internal AI tools

The build is easy; the question is whether the time saved justifies it. We size both sides.

Rebuild-or-extend decisions

Whether the legacy system can host the AI feature or needs replacing, answered with evidence.

Tell us the assumption your product depends on

A 30-minute call: we identify the riskiest part of your product and tell you whether a scoping sprint would answer it, or whether you can answer it cheaper yourself.

In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.

Consultation

This call is for teams ready to move. If that's you, pick a time.

Book a Call

Talk to an AI engineer

Choose a time for your free 30-minute strategy call. Live availability is shown in your timezone.

Book a 30min Free Strategy Call

In this call, we?ll walk through your project scope, timeline, and goals?so we can both check if we?re a fit. No obligation, no slide deck, just a working session.

Don?t want a call? Email info@manasflow.com

Book Now

Free 30-min Strategy Call
Custom Solution Design
Choose a time that suits you

One connected approach, from the first workflow to a company that runs smarter.

Built around your business. Powered by ManasFlow.

Built with the tools your team already knows

ManasFlow Automation Teaminfo@manasflow.com

Choose your time

Book your free 30-minute strategy call. Choose an available date and time in your timezone.

Book a Free Strategy Call

Your calendar opens here. You can also open the booking page or email us.

30 minutesLive availability

A practical working sessionNo commitment required

Before we build

At a glance questions

Practical answers about scope, delivery, ownership, and working with ManasFlow.

What does a scoping sprint cost?

It is a fixed-scope, fixed-price engagement sized on the call, because the honest number depends on how hard the prototype is. It is deliberately priced so that skipping it and building blind would be the expensive choice.

Do we have to build with you afterwards?

No. The plan is written so any competent team can execute it: architecture, estimates, eval set, and prototype code are yours. Some clients build with us, some take it in-house, and both are fine outcomes.

What if the answer is that our idea does not work?

Then you learned it in two weeks instead of two quarters, with evidence you can use to redesign the product. We tell you what would have to change for the answer to become yes.

Why not just ask an AI to estimate the build?

Estimates without a prototype are opinions. The sprint's value is the measured part: real quality and real cost per task on your real inputs, which no amount of asking produces.

What do you need from us to start?

Real example inputs, one person who knows the process, and access to the systems the product must touch. Without those three, we will tell you to wait rather than start.