Using
Momen · full-stack no-code platform
to build

an AI-powered GRC compliance tool

$54.83
/ mo
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PROJECT OVERVIEW

What this app does

This product is an AI-powered GRC compliance tool for compliance teams and reviewers. It lets organizations maintain compliance frameworks, upload assessment evidence, compare that evidence against framework requirements with AI, and review structured findings through a human validation process.

As an anonymous visitor, I can read the public product overview so that I can understand the tool's purpose
As a compliance manager, I can view frameworks and create an organizational compliance assessment
As a compliance manager, I can upload evidence and run an AI-assisted assessment against a selected framework
As a compliance manager, I can view and filter the findings produced for an assessment
As a compliance reviewer, I can inspect assessment evidence and record a review decision on findings
As a platform administrator, I can create compliance frameworks and their requirements
As a platform administrator, I can review registered users and update account status

The following user counts are projected totals after one year of growth

1000
anonymous_visitors
Prospective customers who can read the public product overview without registering.
450
compliance_managers
Registered customer users who create assessments, upload evidence, run AI analysis, and review results.
45
compliance_reviewers
Registered reviewers who validate assessment evidence and AI-generated findings.
5
platform_administrators
Internal administrators who maintain framework content and control user account status.

COST BREAKDOWN

How your requirements become a plan and a price

Momen doesn't give a vague quote: it first sizes the project's actual demand for each capability and resource, then costs each item out. The numbers in the 'Project demand' column below — their scale assumptions and derivations — are detailed in Scale & sizing

Minimum viable plan
BASIC
The AI-assisted compliance platform requires multiple workflows, ongoing public publishing, and professional public-facing capabilities available from at least the BASIC plan.
See the capability-by-capability assessment ▾
ITEM NAME
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
COVERAGE
AMOUNT
Basic
x 1
Basic is the minimum viable plan
Basic
(Plan tier: BASIC)
See minimum viable plan above
$ 39
single-tenant kit
x 0
1 req/s
not purchased
(plan/kit 5 req/s)
Covered by plan/kit (margin ~400%)
$ 0
Database storage add-on
x 0
46.95 MB
not purchased
(plan/kit 200.00 MB)
Covered by plan/kit (margin ~326%)
$ 0
Object storage add-on
x 1
7.94 GB
100GB × 1/year, amortized monthly
(plan/kit 2.00 GB + add-on +5.94 GB)
Add-on fills +5.94 GB gap beyond plan/kit
$ 2.92
Outbound data transfer add-on
x 1
2.49 GB/mo
500GB × 1/year, amortized monthly
(plan/kit 2.00 GB/mo + add-on +491.42 MB/mo)
Add-on fills +491.42 MB/mo gap beyond plan/kit
$ 2.92
AI points add-on
x 1
2.2M points
6,000,000 AI Points × 1/month
(plan/kit 7.0M points + add-on +1.2M points)
Add-on fills +1.2M points gap beyond plan/kit
$ 10
Monthly total
plan + add-ons · usage-based · no development cost
$54.83
/ mo

WHY MOMEN

Your options for this project

In the table below, the 'monthly infrastructure' for the self-built / AI routes is derived from the AWS list prices shown below, sized against this project's actual usage. Figures cover infrastructure and operations only — AI usage is billed separately and excluded here, so they don't match the $54.83/mo all-in above.

Current usage sizing
AWS list pricing
2 × t4g.large × 730h
EC2 t4g.large → 98.11
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
0.05 GB-month
RDS gp3 storage → 0.01
7.94 GB-month
S3 Standard → 0.18
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $330.44 / mo
Pure cloud resources
ROUTE
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
TIME TO LAUNCH
CUSTOMIZATION
Traditional outsourcing / build in-house
about $110,000 - $150,000
≈ $330
Based on the AWS estimate above
≈ $2,330
Infra $330 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $18,000 - $24,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $7,000 - $9,500
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
$0
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$0
$45
All-in: egress / storage / auto-scaling; excludes AI usage
$45
hours
5 / 5
Infrastructure cost is unavoidable
Servers, databases, traffic and storage are inherent infrastructure costs for this project — you pay them whether you outsource, use Cursor or Lovable, or build it yourself (self-built runs ≈ $330.44/mo at AWS list prices, often more), on top of the dev and ops staff you'd need to hire. Momen bundles all of it into $10/mo all-in and removes the need for an ops team.
Vibe-coding speed + a production-grade backend
The frontend can be generated with AI tools (Cursor, Lovable, etc.); the hard part is the backend — auth, database, scaling, data security and ops. Momen delivers a production-grade backend as a BaaS: keep the vibe-coding speed on the frontend, while the backend runs on proven infrastructure — reliable, with no self-hosting or ops.

SCALE & SIZING

What scale this estimate assumes, and how the numbers are derived

Cost depends heavily on usage volume. First see the key assumptions and business scenarios this estimate uses, then the full calculation derived from each scenario for every resource — all adjustable to your real situation

500
Total users
We assume 500 registered accounts because an AI-powered GRC compliance tool is an outward-facing business software product and the standard mature anchor for this category is a modest multi-organization user base. If your actual business operations differ, such as launching with contracted enterprise customers or a full pre-existing account directory, this parameter can be adjusted accordingly.
225
Data retention period
We assume 225 effective accumulation days because this is a standard outward-facing software product that is likely to grow progressively after launch rather than begin with a full pre-existing dataset. If your actual business operations differ, such as a brownfield launch with all historical assessments and evidence loaded on day one, this parameter can be adjusted accordingly.
Core business scenarios
Daily Public Discovery
Weekday Compliance Operations
Daily Public Discovery
Weekday Compliance Operations
Weekday Compliance Operations
30
times/month
0.01 req/s
Peak load
We assume public discovery can occur throughout a 24-hour day because prospective customers are not governed by an internal work schedule. The scenario occurs daily and contains only product-overview browsing, which is separate from authenticated compliance work. A duration of 86,400 seconds represents the full distributed access window, and 30 occurrences represent daily operation in a typical month. If your actual business operations differ, such as concentrating traffic through scheduled campaigns, the duration and frequency can be adjusted accordingly.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation derived from them. Click to expand each item.
Peak Concurrency
0.01 req/s
Database Storage
44.78 MB
Object Storage
7.4 GB
Outbound data transfer
1.43 GB
AI Points
2.2M AI Points

DEVELOPMENT SCOPE

How this app works

What exactly does this budget support? Broken down by business scenario, showing the pages, data tables, automation flows and AI assistant behind each one

anonymous_visitors
browse_public_overview
Anonymous visitor reviews the public product overview.
page
Public Home Page
compliance_managers
create_compliance_assessment
Compliance manager selects a framework and creates an assessment.
page
Public Home Page
data_table
users
compliance_managers
analyze_assessment_evidence
Compliance manager uploads evidence, runs AI analysis, and reviews the findings.
page
Public Home Page
data_table
users
ai_agent
compliance_assessor
action_flow
run_compliance_assessment
compliance_reviewers
review_ai_findings
Reviewer validates AI findings and records review decisions.
page
Public Home Page
data_table
users
platform_administrators
maintain_compliance_framework
Administrator creates and maintains assessment framework content.
page
Public Home Page
data_table
users
platform_administrators
administer_user_access
Administrator reviews registered users and updates account access.
page
Public Home Page
data_table
users
page
data_table
ai_agent
action_flow
Public Home Page
Public product overview for prospective customers.
Assessment Dashboard
Workspace for listing and creating organizational compliance assessments.
Assessment Workspace
Detailed assessment view for evidence, AI execution, findings, and human review.
Review Queue
Filtered queue of assessments awaiting human review.
Framework Management
Administrative view for maintaining frameworks and compliance requirements.
User Administration
Administrative directory for reviewing and controlling registered accounts.

FAQ

What you might want to know about this project

The Q&A below is generated by AI based on this project's type, features and scale

What will drive resource usage for this compliance tool?
What GRC functionality is included in this blueprint?
How is AI used in the assessment process?
How do evidence documents affect plan requirements?
What user scale does this design assume?
Made and hosted in the United States. 🇺🇸
Backed By
Sequoia
MiraclePlus
Linear Capital
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