Integration & Platforms
99.7%
inventory accuracy
- 45%fewer stock-outs
- $890Krecovered in year one
RetailMax Holdings
Real-time inventory platform
A connected inventory platform unified store, warehouse, and supplier workflows across 127 locations.
AI-Powered Product Development
From first idea to a working product. With AI.
Turn a focused idea into a usable MVP, SaaS product or portal through AI-assisted design and development, with engineers owning architecture, code review and release checks.
- MVPs scoped as minimum viable learning
- Production architecture before launch
- Iterate on evidence, not opinion
AI IN THE WORKFLOW
A founder tests the core customer journey before expanding scope.
An example of what we can scope with your team. The tools and automation boundaries follow your workflow.
Prototype the journey
Explore the essential screens and interactions quickly.
Build the real flow
Connect authentication, persistent data and needed integrations.
Launch with checks
Verify the agreed journey and hand over code and documentation.
What you take away
A defined first release with clear inclusions and acceptance criteria.
Depending on fit: AI coding tools · React · .NET · APIs
Choose a defined project or ongoing delivery. MVP Launch is one option when its scope fits. Scope and price are agreed first.
Organizations we’ve worked with
- Airbnb
- TheAMLab
- Hood
- NAMA
- Klaro
- GoBoon
- Studio Arlington
What Is Holding Your Product Back?
Start with the user journey that needs to work, whether you have an idea, a prototype or a live product.
Select your bottlenecks to see possible starting points
Sound familiar?
Choose any that apply. No contact details needed.
From Prototype to a Product People Can Use
A prototype explores an idea. A production release needs a dependable journey and someone who can operate it.
Early prototype
Scoped production release
Early prototype
A promising happy-path demo
Scoped production release
A core journey tested with success and failure states
Early prototype
Sample data and temporary access
Scoped production release
Agreed data model, authentication and permissions
Early prototype
A growing list of possible features
Scoped production release
A release boundary with explicit acceptance checks
Early prototype
Manual setup only the builder understands
Scoped production release
Documented deployment and operating handover
Keep what works in the prototype. Make reuse and rebuild decisions after reviewing the code, users and release risks.
How We Move from Idea to Release
Agree the outcome before expanding the build. Discovery and later iterations are scoped to your starting point.
- 01
Discover
Define the users, problem and evidence. Validate uncertain assumptions before a production commitment.
- 02
Scope
Choose the core journey, dependencies and acceptance checks for the next release.
- 03
Build
Develop the agreed interface, business logic, data and integrations with regular reviews.
- 04
Release
Test the critical journeys and agree deployment, handover and operating ownership.
- 05
Iterate
Use feedback to prioritise a separately agreed next phase.
A useful release with clear boundaries, a working core journey and a path for what comes next.
Four Starting Points
Choose the situation closest to yours. Deliverables and price follow the agreed scope.
First Product Release
Turn a defined user problem into a small usable product.
Core customer journeyRelease acceptance checksLaunch handover
Prototype to Production
Review and strengthen an existing AI-built or early-stage application.
Code and dependency reviewData and permission checksDeployment readiness
Customer or Partner Portal
Give users a secure place to complete a repeatable task.
Role-based accessRequests and statusAgreed integrations
New Product Capability
Add a feature to an existing product without treating it as a new MVP.
AI assistance or recommendationsOperational workflowsFeature rollout and recovery
Define the Journey, Then the Features
Examples of scoped outcomes, not a list of automatic inclusions.
Before
First release
After
A user can sign up and complete the core task
Before
Prototype repair
After
The agreed journey works with real data and appropriate access
Before
Customer portal
After
A customer can submit, track and complete a request
Before
Operational platform
After
A team can manage the agreed workflow and exceptions
Before
AI feature
After
A user receives grounded assistance or a permitted action with a fallback
What we build
Product Build Delivery
From a first release to a new capability in an existing product: agree the journey, review progress and ship against clear acceptance checks.
- 01
One audience, one valuable journey
Build the agreed customer journey, account access and data flow with a release handover.
- 02
Keep what works, repair what blocks launch
Review existing code, dependencies and production risks before deciding what to retain or rebuild.
- 03
Secure self-service
Connect requests, status and documents with the permissions and integrations your users need.
- 04
Extend an existing product
Add an agreed workflow, AI feature or operational surface with tests and a controlled rollout.
How we deliver
Delivery Path
Product builds move from validated problem to production product in four clear stages — then the loop closes on real usage.
- 01
Problem & Scope
We anchor the build to a validated problem and scope the MVP around the core bet — the smallest product that proves it, with everything else deferred in writing.
- 02
Architecture & UX
We design the data model, auth, and boundaries for the product it will become, and shape the workflow — empty, loading, and error states included — before the build starts.
- 03
Build & Launch
We engineer the product to production quality, wire in AI or integrations where they solve a real outcome, and go live with auth, monitoring, and a safe release path.
- 04
Instrument & Iterate
We read real usage instead of opinion — adoption, drop-off, and edge cases — so the next scope is earned by evidence and the product compounds.
Choose the Right First Engagement
Ready for a scoped build
- Founders with a defined problem and a focused first-release goal
- Teams taking a prototype into production
- Businesses delivering a customer portal or operational product
- Product teams adding a scoped capability to an existing application
Consider another starting point
- An untested idea that needs discovery before a production commitment
- An unlimited feature list with no release priorities
- Design-only work: start with our UI/UX service
- A single existing failure: start with System Rescue
Next step
Decide what the first production release should prove
A 30-minute product scoping session. We pin down the validated problem, scope the MVP around the core bet, and map the path to a production launch.
Scope my productIn production
Systems already in production
Explore the products, portals and platforms we have delivered.
GiveFlowIntegration & Platforms
Recurring donation operations platform
$500K recurring revenue and 85% donor retention.
Go BoonIntegration & Platforms
Referral and hiring platform
Referral rate grew from 2% to 11% and cost per hire dropped by 42%.
A clear starting point
Choose the work you need now.
Start with one audience and the journey that creates value. AI MVP Launch suits a defined first release; discovery comes first when the problem or demand still needs validation.
- First usable release
- Prototype to production
- Portal or new product capability
Agree the finish line first
An agreed release, acceptance checks, source-code handover and operating guidance.
Admin tools, mobile apps, migration and training are scoped explicitly rather than assumed.
Scope my productSomething already broken? Explore System Rescue.
By industry
Built around your sector
Explore the systems and operating needs that shape delivery in your sector.
Explore all industriesBEFORE YOU GET STARTEDGood questions.
Good questions.
Clear answers.
Scope, delivery and what happens next. The details that help you decide.
Can we start with an idea rather than a specification?
Yes. We first define users, the problem and a small testable journey. If demand remains uncertain, discovery or a prototype may be the next step before committing to a production build.
Can you reuse an AI-built prototype?
We review its code, dependencies, data model, access controls and deployment. The proposal explains what can be retained, repaired or rebuilt and why.
How are milestones and acceptance agreed?
We define the release journeys, delivery milestones and acceptance checks before build. Reviews make progress visible; completion is assessed against the agreed scope.
What happens when requirements change?
We assess the impact on cost, timing and acceptance. Changes can replace lower-priority work or become an additional agreed phase.
Are integrations and an admin dashboard included?
Only those listed in scope. We identify API access, subscriptions, admin controls, migration and training needs during scoping.
Will we receive the source code?
The agreement defines ownership, repositories, deployment access and handover, including any licensed dependencies or reusable components.
Who maintains the product after launch?
We agree the handover, support period and operating owner. Continued development or monitoring can be scoped separately; they are not an unlimited inclusion in a launch project.
Start here
Turn the idea into a product people depend on
We scope the first version with you: architecture, delivery plan, and what to build first.
20–30 minutes · No preparation needed · Free