What does a Base44 implementation partner do?

A partner listed in the Base44 directory who takes an organization from candidate use case to owned application: scoping what belongs on the platform, building it with your team, integrating it with the systems you already run under the access controls IT requires, and handing over ownership at the end.

Do we still need a partner if any team can build on Base44?

Base44 removes the build bottleneck. What remains is deciding what is worth building, modeling the data so it survives contact with real use, and getting people to adopt the result. Those are the problems Think Big Leaders works on.

Who owns the applications you build on Base44?

You do. Base44 supports app ownership transfer, and engagements end with the application handed to the team that will maintain it, with those people trained on it.

Can our own team build without your help?

That is the goal. Engagements are structured so the first application is built with your people rather than for them, and the second one is built by them. Think Big Leaders stays available for the parts that are easier to get wrong than to notice: where a build fits the strategy, how the thing is designed for the people who will use it, the data model underneath it, and the practices that keep the tenth application as sound as the first.

Platform

Base44 enterprise partner

Base44 lets a team build the tool it needs in days rather than quarters, on Wix’s enterprise infrastructure. We help organizations decide what is worth building, model it so it survives real use, and get people to adopt the result.

Think Big Leaders is listed in Base44’s partner directory.

What we build

Rapid prototyping: Test a concept in hours instead of scoping it for a quarter. A working prototype in front of real users beats a specification argued about internally.
Data synthesis: Connect the systems an answer is scattered across and ask the question in plain language. The structured records and the documents beside them, read together, with every answer showing where it came from.
Internal tools: Built by the functions and functional experts who own the process, not by a queue in IT.
Client-facing AI applications: Including event, conference and campaign properties that need to exist next week.

All four connect to the systems you already run: email, CRM, data warehouses, document stores, development environments. What IT needs in order to sign that off is further down this page, answered against your requirements rather than in the abstract.

Templates to start from

A team that starts from an empty screen spends its first week rebuilding what every other team has already built. We keep working templates for the applications functional teams ask for most.

Data synthesis workspace: One question asked in plain language across the systems that each hold part of the answer, with every answer carrying the records and documents behind it. The same structure serves sustainability data, workforce data, customer service data, or any question whose answer is split across systems.
Support desk and knowledge base: Ticket intake, triage and resolution for an internal helpdesk or a customer-facing one, with the knowledge base articles that answer the repeat questions before they become tickets. See it running.
Product release notes: Somewhere for a product team to publish what shipped and what it changes for the people using it, owned by the team instead of by a queue in marketing.
Innovation hub: Idea capture and review against stated criteria, with a visible pipeline so a contributor can see what happened to what they submitted.
Marketing content pipeline: Briefs, drafts, review states and approvals across a content calendar, so the status of a campaign is a page instead of a thread.
New employee onboarding: A per-role onboarding site: what to read, who to meet, and what should be done by the end of the first month.

Each one is a starting point. The template supplies the structure, and the first sessions go on your process and your integrations.

Flexible data synthesis template example

Built in days as a sustainability radar, on simulated data from six systems. The same template serves workforce, customer service or operations questions.

A table of three raised signals, each with a severity chip, a one-line explanation, a category, the site or supplier it concerns, and a status. Filters for severity, category, site and supplier sit above it. — Signals raised where the numbers and the commentary disagree.

A question box above a written answer, with a panel beside it listing the three pieces of evidence the answer was assembled from: a supplier record, a questionnaire response, and an adverse media brief. — One question across every source, answered with the evidence it came from.

Which of these is worth doing

The four are not equally ambitious, and a leadership team choosing between them is really choosing between the three paths to business value with AI.

Rapid prototyping: A method rather than a path. It is how work on the other paths gets tested before it is funded.
Data synthesis: Boosting productivity, reaching Creating new value once the insight goes to the people you serve rather than staying inside the building.
Internal tools: Boosting productivity.
Client-facing AI applications: Creating new value.

Driving disruption, the third path, does not follow from any one of these. It becomes reachable once an organization has enough of them running to ask what its work would look like if intelligence were free. Vibe coding for business value.

What we have built on it

Our own product

OutcomeHack

Amazon’s Working Backwards method, with AI guidance through it: answer the customer questions, get a drafted press release and FAQ, then pull out the assumptions and design experiments against them. Workshop participants keep using it after the room empties.

Open it

Our own product

Castifai

Turns a video, podcast or article you have already watched into LinkedIn posts and infographics written in your own style rather than a generic one, in over a hundred languages.

Open it

Runs our own business

ThinkBigCRM

The pipeline we actually run on. Deals move through stages on a board, with companies, contacts and meetings behind them, saved views for what has gone stale or is closing this quarter, reporting across several currencies, and a written summary of what moved last week.

Client builds stay private. They run to prototypes, internal workflow apps, and customer-facing campaign sites that had to be live within the week.

How a Base44 engagement runs

1
Decide what is worth building
Most of the value and most of the risk sit here. We run this as use-case discovery, and we say when the answer is that the thing should not be built.
2
Model the data
Applications built quickly fail slowly, and they fail at the data model. This is the step that decides whether the app survives its second month.
3
Build
With your team, so the capability stays behind. Prototypes in days, production-intent applications in weeks.
4
Hand over and enable
Base44 supports application ownership transfer. Engagements end with the application owned by the team that will maintain it, and those people trained on it.
5
Scale the pattern
Once one function has built successfully, the question becomes which functions build next, under what guardrails, with what review. That is implementation and adoption work.

The program around it

The engagement above is run for one organization at a time. Where a company wants the same arc as a repeatable program, with leadership sessions, guided discovery, build clinics and a governance kit, that is our Base44 enterprise program: Think Big. Build for Scale.

For IT and procurement

These are the questions we work through with the Base44 team and your IT and security teams before anything is built, answered against your requirements rather than in the abstract.

Where applications and data are hosted, and what the data residency options are.
Authentication and single sign-on.
Role-based access control and permission models.
Audit and activity logging.
Application ownership and transfer to the client.
What happens to the applications if the engagement ends or the platform relationship changes.
How this fits alongside your existing systems instead of beside them as shadow IT.

What Base44 states about the platform

Base44’s security trust center carries the current detail, and is where you request the SOC report.

Certifications: Base44 states it is SOC 2 Type II and ISO 27001 certified and that it adheres to GDPR standards. The SOC report is available on request through their trust center, which is where to get it rather than taking a badge on a page.
Data residency: Base44 documents a choice of where workspace app data is stored, across the US, the EU and the UK. For most buyers this is the first question and the one that decides whether a conversation continues.
Encryption: Base44 states TLS 1.2 or above in transit, AES-256 at rest, and secrets managed through a cloud key management service.
Single sign-on and directory sync: Enterprise SSO through your own identity provider, which Base44 documents as enforceable across the workspace and every app inside it, with SCIM provisioning so access changes when someone joins or leaves rather than when someone remembers.
Network and visibility controls: Workspace and app access restricted to approved IP addresses. Each app set to private, workspace-only or public, with admins able to set the default for new apps and to decide whether members may publish public-facing apps at all.
Data access control: Row-level security at the database level, with granular create, read, update and delete permissions per data entity, so access is enforced under the application rather than only inside it.
Testing and pre-publish scanning: Base44 documents internal and third-party OWASP-based penetration testing and an active bug bounty, plus a security scan before publish that looks for hardcoded secrets, unvalidated row-level security and backend functions missing server-side authentication.
Audit logs, and getting your code out: Workspace-owned API keys give programmatic access to audit logs, so they can be forwarded to your own tooling. Two-way GitHub integration exports the application code, which is the answer to the portability question and lets your own scanners run against it.
Model training: Base44 states that enterprise customers can opt out of having workspace data used to train AI models.

Security review and enablement

Two parts: a review of the application itself, and the guardrails for the people who will build the next one.

A security review of what gets built: We review an application against your own security requirements before it carries real data: the authentication and access model, what the application is able to reach, where data lands, and who can see it.
Best practices for the people building: The people building are functional experts, not engineers, and the failure modes repeat. Access granted too broadly. Data copied into an application that should have stayed in the system of record. A prototype quietly becoming the system of record itself. We train for those specifically, and we set the guardrails with your security team before the first application ships rather than after the tenth one has.

This runs alongside the build. A review that arrives after launch is a list of things nobody has time to change.

Where we come in

When building is cheap, the difficulty moves rather than disappears. What is left is deciding what deserves to exist, modeling the data so the application survives real use, and getting people to adopt what gets built. Those are the same three problems we work on in every implementation and adoption engagement, and none of them has a platform solution.

Common questions

What does a Base44 implementation partner do?: A partner listed in the Base44 directory who takes an organization from candidate use case to owned application: scoping what belongs on the platform, building it with your team, integrating it with the systems you already run under the access controls IT requires, and handing over ownership at the end.
Do we still need a partner if any team can build on Base44?: Base44 removes the build bottleneck. What remains is deciding what is worth building, modeling the data so it survives contact with real use, and getting people to adopt the result. Those are the problems Think Big Leaders works on.
Who owns the applications you build on Base44?: You do. Base44 supports app ownership transfer, and engagements end with the application handed to the team that will maintain it, with those people trained on it.
Can our own team build without your help?: That is the goal. Engagements are structured so the first application is built with your people rather than for them, and the second one is built by them. Think Big Leaders stays available for the parts that are easier to get wrong than to notice: where a build fits the strategy, how the thing is designed for the people who will use it, the data model underneath it, and the practices that keep the tenth application as sound as the first.

Coming up: Vibe Coding for Leaders, an evening on building with these tools.

See what you can build30 min or send a message