LIMITED OFFER

3 free

AI Launch Readiness Audits this month.

3 free

AI Launch Readiness Audits this month.

NTO-26030

·

AI PROTOTYPE TO PRODUCTION

AI Launch

Take your AI-built prototype from demo to production. If your product already works but still needs stronger security, reliable data, better performance, testing, and a production-ready deployment, we help you finish the last mile and launch with confidence.

Quick facts:

From

$8,500

fixed package

5-9

weeks

    LIMITED OFFER

    The first 3 qualifying AI Launch projects this month receive the $1,500 readiness audit at no cost.

    AI LAUNCH TIERS

    Choose the AI Launch tier that fits your prototype

    All three tiers follow the same production-readiness process. Choose based on the size and complexity of what you’ve already built.

    Compact

    Standard

    Extended

    1 role

    Up to 2 roles

    Up to 4 roles

    Up to 10 screens

    Up to 20 screens

    Up to 35 screens

    Up to 5 data entities

    Up to 12 data entities

    Up to 20 data entities

    1 integration

    Up to 2 integrations

    Up to 4 integrations

    1 AI feature

    Up to 2 AI features

    Up to 4 AI features

    5 weeks

    6 weeks

    9 weeks

    $8,500

    $12,800

    $20,300

    Every AI Launch starts with a readiness review.

    WHAT’S INCLUDED

    Everything needed to get closer to production

    Strengthen the parts of your prototype that need to hold up once real users, real data, and real operations are involved.

    Security & Access

    Replace demo-level access with real authentication, authorization, and secure credential handling.

    Data & Backups

    Create a consistent data model with migrations and automated backups.

    Reliability & Logging

    Improve error handling, logging, and the critical paths that need to perform reliably.

    AI Hardening

    Strengthen AI features with better failure handling, safeguards, cost controls, and fallbacks.

    Testing & Monitoring

    Add automated testing for critical flows plus monitoring and alerting for production.

    Deployment & Go-Live

    Set up repeatable environments and deployment, then support acceptance and production launch.

    Design, development, QA, and project management are included as required throughout the delivery.

    DELIVERY

    From readiness review to go-live in 4 stages

    We first confirm what can be kept, then strengthen the product step by step until it is ready for production.

    Stage 1

    Readiness Review

    Assess the prototype, confirm what can be kept, identify what needs remediation, and confirm the final tier.

    1–2 weeks

    Stage 2

    Secure the Foundation

    Authentication, access control, validation, secrets, data model, migrations, and backups.

    1.5–3 weeks

    Stage 3

    Stabilize

    Resolve the agreed remediation backlog, improve performance and error handling, and test critical flows.

    1.5–3 weeks

    Stage 4

    Launch

    Configure deployment, monitoring and alerting, complete acceptance testing, release to production, and hand over documentation.

    1 week

    5–9 weeks total

    BEFORE YOU START

    A few things to know

    AI Launch improves and completes what already exists — it is not a rebuild or a way to add a new product scope.

    What we start from

    A working prototype or POC that you own, with source code available in a repository. AI Launch improves and completes what exists rather than starting again from scratch.

    New functionality that does not already exist in the prototype, UI redesign, full rebuilds, native mobile applications, external data migration, model fine-tuning or training, AI/API/cloud usage costs, hosting, licenses, and ongoing maintenance unless separately contracted.

    Access to the repository and dependent services, one decision-maker, and feedback within 3 business days. One functional correction round is included after each delivery stage.

    A 30-day warranty begins at go-live and covers defects in the work we built or changed. Billing can be structured by milestone or at the close of each sprint.

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