What does a Base44 implementation partner do?

A Base44 implementation partner is listed in Base44’s partner directory. It takes your organization from a candidate use case to an application you own. That covers 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. You still have to decide what is worth building, model the data so the application keeps working in daily use, and get people to adopt the result. Think Big Leaders works on those three problems.

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?

Yes. We structure engagements so your people build the first application with us and the second one on their own. Think Big Leaders stays available for the parts where mistakes are hard to spot: where a build fits the strategy, how it is designed for the people who will use it, the data model underneath it, and the practices that keep later applications sound.

Platform

Base44 enterprise partner

Base44 lets a team build the tool it needs in days, on Wix’s enterprise infrastructure. We help organizations decide what is worth building, design the data model so the application keeps working in daily use, and get people to adopt the result.

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

What we build

Rapid prototyping: Build a working prototype of a concept in hours and test it with users.
Data synthesis: Connect the systems an answer is scattered across and ask the question in plain language. The application reads the structured records and the documents beside them together. Every answer shows where it came from.
Internal tools: The functions and functional experts who own a process build the tools for it themselves.
Client-facing AI applications: We build AI applications that your clients use directly, such as event, conference and campaign assets, or customer knowledge and training solutions.

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.

Templates to start from

We keep working templates for the applications that functional teams ask for most.

Data synthesis workspace: Letting people interact with data from multiple sources in natural language. They ask questions about trends, indicators, connections without a need to create complex queries or integrations. They can also create visualizations and analysis to help them and others make better decisions.
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: A site where a product team publishes what it has released and what each release changes for the people using it. The product team owns the site.
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 you can see the status of each campaign in one place.
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 template is a starting point. It supplies the structure, and we spend the first sessions on your process and your integrations.

Flexible data synthesis template example

We built this example of a sustainability radar, using simulated data from six systems. The same template can answer 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. A leadership team choosing between them is choosing between the three paths to business value with AI.

Rapid prototyping: Rapid prototyping is a method. It is how work on the value paths gets tested before it is funded.
Data synthesis: Boosting productivity, and Creating new value once you share the insight with the people you serve.
Internal tools: Boosting productivity.
Client-facing AI applications: Creating new value.

Driving disruption, the third path, does not follow from any one of these. An organization can start on it once it has enough of these applications running to ask what its work would look like when AI makes intelligence cheap to use. Vibe coding for business value.

What we have built on it

Our own product
OutcomeHack
OutcomeHack guides you through Amazon’s Working Backwards method with AI. You answer the customer questions, get a drafted press release and FAQ, then pull out the assumptions and design experiments to test them. Workshop participants keep using it after the workshop ends.Open it
Our own product
Castifai
Castifai turns a video, podcast or article you have already watched into LinkedIn posts and infographics written in your own style, in over a hundred languages.Open it
Runs our own business
ThinkBigCRM
We run our own pipeline on it. Deals move through stages on a board, with companies, contacts and meetings behind them. It has 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.

We keep our client builds private. They include 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
Much of the value and the risk is decided at this step. We run it as use-case discovery. When we think the application should not be built, we tell you.
2
Model the data
When an application is built quickly, problems often show up later in its data model. At this step we design the data model, before anything is built.
3
Build
We build with your team, so the capability stays in your organization.
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, you decide which functions build next, under what guardrails and with what review. That is implementation and adoption work.

For the same engagement as a repeatable program, see 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 the applications fit with your existing systems without becoming shadow IT.

Security and enterprise capabilities

Below are key security and enterprise capabilities of Base44. For more details see Base44’s Trust Center.

Certifications: Base44 is SOC 2 Type II and ISO 27001 certified and adheres to GDPR standards. The SOC report is available on request through the Trust Center.
Data residency: Base44 workspaces let you choose where app data is stored, across the US, the EU and the UK.
Encryption: Base44 encrypts data with TLS 1.2 or above in transit and AES-256 at rest, and manages secrets through a cloud key management service.
Single sign-on and directory sync: Base44 offers enterprise SSO through your own identity provider, enforceable across the workspace and every app inside it. It also supports SCIM provisioning, which updates access automatically when someone joins or leaves.
Network and visibility controls: Base44 access can be restricted to approved IP addresses. Each app can be set to private, workspace-only or public. Admins can set the default for new apps and decide whether members may publish public-facing apps at all.
Data access control: Base44 supports row-level security at the database level, with granular create, read, update and delete permissions per data entity.
Testing and pre-publish scanning: Base44 runs internal and third-party OWASP-based penetration testing and an active bug bounty. Before an app is published, a security scan 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. You can keep a copy outside the platform and run your own scanners against it.
Model training: Enterprise customers can opt out of having their workspace data used to train AI models.

Security review and enablement

This work has two parts: a review of the application itself, and 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 handles 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 who are not engineers. They tend to make the same mistakes. They grant access too broadly, copy data into an application when it should stay in the system of record, or let a prototype become the system of record without anyone deciding it should. We train people to avoid those mistakes, and we set the guardrails with your security team before the first application goes live.

We run both parts alongside the build.

Where we come in

Base44 makes building cheap. Deciding what to build, modeling the data and getting people to adopt the result are still up to you. We work on those three problems in our implementation and adoption engagements.

Common questions

What does a Base44 implementation partner do?: A Base44 implementation partner is listed in Base44’s partner directory. It takes your organization from a candidate use case to an application you own. That covers 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. You still have to decide what is worth building, model the data so the application keeps working in daily use, and get people to adopt the result. Think Big Leaders works on those three problems.
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?: Yes. We structure engagements so your people build the first application with us and the second one on their own. Think Big Leaders stays available for the parts where mistakes are hard to spot: where a build fits the strategy, how it is designed for the people who will use it, the data model underneath it, and the practices that keep later applications sound.