Your fractional Chief Innovation Officer, and the team that builds it.
Most companies know AI is going to change their business. Very few know what to actually build with it.
AI Build Lab builds the systems, tools and platforms a company needs but cannot practically staff for, client portals, member and community platforms, automation and custom applications. Built in weeks, not quarters. Owned by you, not rented.
Where this starts
Two situations where this applies
Almost every engagement starts in one of these two places.
The manual situation
Spreadsheets and email attachmentsWork that runs on someone remembering to send the update. It functions, until it stops scaling, and nobody can see what is happening without asking for it.
The wrong-fit situation
A platform built for a different businessA monthly subscription for something designed around a different kind of company. It half fits. Everyone works around it. The workarounds have quietly become the process.
What could we build today that was not economically practical two years ago?
AI-assisted development and modern infrastructure collapsed the cost of creating software, automations, dashboards and customer experiences. Systems that used to require a development team and a six-figure budget now take weeks. AI Build Lab exists to act on that.
What we build
Four build tracks
Each one a place where growth, customer experience or internal efficiency is currently limited by something you do not have.
Client portals & dashboards
Replace static reports, spreadsheets and email attachments with a live, secure portal where clients see their data, documents, analytics and progress update on their own.
Strong fit: firms that have never had a client-facing system
Community & member platforms
Sign-up, login, subscription billing, live content and member data, built to fit how your community actually works, rather than how a subscription platform assumes it works.
Strong fit: communities outgrowing an off-the-shelf platform
Growth applications
GEO resource centers, ROI calculators and diagnostic assessment tools, buyer-facing applications that create demand and qualify interest before a sales conversation starts.
Strong fit: expertise-led firms that need to create demand, not just capture it
Automation & integrations
Connect the systems that do not talk to each other and eliminate the manual work between them: data sync, automated reporting, event-triggered notifications and workflow automation across existing tools.
Strong fit: the lowest-risk place to start
And when it fits none of these
An internal operating tool, an industry-specific utility, a new digital product, we build that too. The tracks describe where the work usually lands, not the limit of what can be built.
Why VGL Studio
Most companies don't need an AI department
They need someone who can decide what to build, and then build it.
Knowing what to build beats knowing every tool
There are thousands of AI tools. The value is not in tracking all of them. It is in knowing what should actually be built for your business, which is a judgment call about your economics rather than a technology question.
We start at the business opportunity
Where can we create revenue? Improve the customer experience? Remove friction? VGL brings the perspective of operators who have built, grown, scaled and exited companies, now applying AI directly to growth and innovation problems. Then we build it.
How it gets built
Workflow automation
Visual automation connecting your apps and APIs without a ground-up engineering build.
Live databases
Real data behind real interfaces, not static pages or exported snapshots.
Live deployment
Lightweight code deployed to run instantly, reliably, anywhere.
AI-assisted build
AI used hands-on to design, write and debug each build, a build tool, not something running inside the finished product.
Integrated with the systems you already run. What ships is real software.
The engagement
How a build sprint works
Strategy, design, build and handover, one engagement, scoped to a single opportunity.
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Opportunity session
We work through where value is actually being lost, revenue, customer experience, or time spent on work that should not still be manual, and pick the one opportunity worth building first.
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Solution design
We define what should exist: what it does, who uses it, what it connects to, and what it deliberately will not do. Scoped small enough to ship fast and prove value.
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Build
The system gets built and integrated with the tools you already run, with working versions in your hands early, rather than a reveal at the end.
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Launch and handover
Live, in use, and yours. You own the system, the data and the infrastructure. There is no platform to keep renting from us.
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Expand from there
One working system usually reveals the next one. Engagements continue because something proved out, not because a contract required it.
Built and running
What we've built
Client portal
Windsor
Reporting that lived in spreadsheets and email attachments became a live client-facing environment, dashboards, documents and project status updating on their own. The kind of system a firm has often never had.
Community & member platform
FanTogether
Their community was running on a platform built for a different kind of community. We built one that matched how theirs actually works, sign-up, login, subscription billing and live member data, in about 60 days, for less than they were paying to rent the wrong thing.
Growth applications
iLumen · Windsor · StabiLink
A GEO resource center, ROI calculators and diagnostic assessment tools, buyer-facing applications that create demand and qualify interest before a sales conversation starts.
Internal automation
Across multiple clients
Bringing Salesforce data to life, automating RevOps and sales-admin processes, and turning content and case-study production into a repeatable workflow.
Where this fits
Against the options you're actually weighing
Building it with us is not the only path. Here's what each alternative covers and what it leaves on your side of the line.
Builds: the usual options
| Approach | What it gives you | What stays on you |
|---|---|---|
| Off-the-shelf platform or CRM (Salesforce, HubSpot) | A fast start and a predictable monthly fee, often thousands a month | Fit. You work around the gaps indefinitely, the workarounds become the process, and the subscription never ends |
| Dev shop or agency | A genuinely custom build to your specification | A six-figure budget, two quarters, and a maintenance relationship you don't control |
| Hiring dev and AI talent | Permanent in-house capability | Recruiting, ramp and payroll before a single system ships, and a roadmap to keep them busy afterward |
| Doing nothing | No new spend this quarter | The manual process, the wrong-fit subscription, and the compounding cost of both |
| VGL Studio AI Build Lab | One scoped system, built in weeks, that you own outright, code, data and infrastructure | Deciding what's worth building first. That's what the opportunity session is for. |
Engagement & terms
Start small. Prove it. Expand from there.
$2,000–$5,000 per month
Across a two to three month focused build sprint.
- Strategy, design, build and automation in one engagement
- You own everything we build, system, data and infrastructure
- No AI department or development team to hire
- Scoped to one opportunity at a time, not a six-figure transformation
Start small
The best first engagement is a focused one: a single automation, one dashboard, one workflow that should not still be manual.
Build something useful. Prove the value. Expand from there.
Questions
AI Build Lab, answered
What is an AI build lab?
An AI build lab is a focused engagement that designs and builds one working system for your business, a client portal, a member platform, a buyer-facing application, or an automation between tools that do not talk. AI is used hands-on to design, write and debug the build, which is what makes weeks possible instead of quarters.
The important word is one. The failure mode of most internal software efforts is scope: a platform that will eventually do everything, shipped never.
Scoping to a single opportunity, with an explicit list of what it deliberately will not do, is what keeps a build sprint inside two or three months.
The VGL perspective
The interesting question is not what AI can build. It is what is now worth building that was not worth building two years ago.
What can actually be built in 60 days?
A full community and member platform with sign-up, login, subscription billing, live content and member data went live in about 60 days. Client portals with dashboards, documents and automatic status updates land in a similar window. Automations between existing systems are usually faster, often the lowest-risk place to start.
Sixty days is not a promise attached to every build. It is what one real community platform took, delivered for less than the client had been paying to rent a platform that fit them poorly.
What determines the timeline is scope discipline and how many existing systems the build has to integrate with, not raw build speed.
The VGL perspective
Sixty days is what one real platform took. We would rather quote the instance than imply the rule.
Do we own the code and infrastructure?
Yes. You own the system, the data and the infrastructure outright. There is no platform to keep renting from us and no per-seat fee after launch. That is the core difference from adopting another subscription product: when the engagement ends, the system keeps running and it belongs to you.
Ownership changes the economics over a three-year horizon. A subscription that half fits costs you every month indefinitely and still leaves the workarounds in place.
It also changes the incentive on our side. We cannot keep you through switching costs, so engagements continue only when something proved out.
The VGL perspective
Every alternative except a build you own is a recurring cost. That sentence is the whole argument.
How is this different from hiring a development agency?
An agency builds what you specify, on a six-figure budget over two quarters, and usually keeps the maintenance relationship. Build Lab starts with the business opportunity rather than a specification, scopes to one system small enough to ship fast, and hands over ownership at launch. Strategy, design and build sit in one engagement.
The specification gap is the expensive part. An agency needs you to already know what to build, which means the strategy work happens before the engagement, usually informally and usually incompletely.
Starting at the opportunity means the first session is about where value is leaking, not about requirements gathering for something already decided.
The VGL perspective
Most companies do not need an AI department. They need someone who can decide what to build, and then build it.
What does an AI Build Lab engagement cost?
Engagements run $2,000 to $5,000 per month across a two to three month focused build sprint. That covers strategy, design, build and automation together. There is no AI department or development team to hire, and the engagement is scoped to one opportunity at a time rather than a six-figure transformation project.
At the top of that range, a three-month sprint totals around $15,000 for a system you own permanently. The agency comparison for equivalent scope typically starts at six figures.
Full line-item comparisons are on the pricing page.
The VGL perspective
At the top of the range a three month sprint is roughly the cost of one month of the agency alternative.
What should we build first?
Start with the smallest system that proves value: one automation, one dashboard, or one workflow that should not still be manual. Automation and integration work is usually the lowest-risk entry point. The opportunity session exists to find that first build, and one working system reliably reveals the next one.
Starting small is not a hedge against ambition. It is how you find out whether the thing you assumed was the bottleneck actually is.
Teams consistently discover the second build is more valuable than the first, and they only discover it by shipping the first.
The VGL perspective
Every build we have started small produced a second engagement. Every one that started large spent its first month arguing about scope.
Start here
Have something that should exist, but doesn't yet?
Book a short working session and we will identify one opportunity worth building. Or take the readiness check first, three minutes, and it tells you which of the two solutions fits, including when the answer is neither yet.
A good first build usually
- Replaces something running on spreadsheets today
- Has a clear owner who feels the pain weekly
- Touches two or three systems, not ten
- Can ship and prove itself inside one sprint