A new solution developed by Brightfox Netherlands brings document automation and AI-driven data capture into Salesforce.
Most organizations still process a surprising amount of information manually. Orders arrive via email. CVs are forwarded as attachments. Invoices are uploaded as PDFs. Customer requests come in as screenshots or forms.
Someone then reads the document, copies the information, and creates or updates records in Salesforce. It’s repetitive work. It takes time. And it often leads to incomplete or inconsistent data.
That is exactly the problem DocStorm is built to solve.
Developed by Wouter Visser and Rik Hoenstok of Member of Spire Brightfox Netherlands, DocStorm is a new solution built on Agentforce that converts unstructured documents into structured Salesforce data. Users can upload documents directly in Salesforce, after which Agentforce interprets the content and maps it to records that fit existing workflows. The result is faster processing, less manual input, and more complete data in Salesforce.
Many organizations are exploring Agentforce but are still looking for a practical entry point. Document processing is one of the most common and impactful areas to start.
Across departments, important information still arrives in formats that are difficult to integrate. Quotes, invoices, contracts, resumes, claims, and emails all require interpretation before they become usable in Salesforce. Traditional integrations often rely on fixed structures, while these documents vary every time. DocStorm addresses this gap by using AI to understand the content and transform it into structured Salesforce data.
This makes Agentforce directly relevant to daily operations. Instead of positioning AI as something abstract, DocStorm applies it to work that already happens every day in sales, service, HR, finance, and other teams.
DocStorm originated from Agentforce proof-of-concepts at Spire’s client Ludvig Svensson, where Wouter and Rik explored how incoming orders could be automatically interpreted and converted into Salesforce data. The proof of concept demonstrated immediate value and revealed that the same approach could be applied to many document-driven processes. That insight led to the development of DocStorm as a reusable product.
Because the solution grew from a real operational need, it focuses on practicality. The goal is not to replace processes, but to remove the manual steps that slow them down.
The most visible benefit of DocStorm is time savings. Teams no longer need to manually retype information from documents into Salesforce. But the broader impact lies in data quality.
When entering information takes effort, it often gets postponed or simplified. Over time, this results in incomplete records, missed opportunities, and weaker automation. By lowering the effort required to capture data, DocStorm increases the likelihood that relevant information is recorded in Salesforce in a structured and consistent way.
Better data improves reporting, enables automation, and strengthens AI-driven insights. In that sense, document intelligence becomes a foundation for more effective Salesforce usage.
DocStorm was designed to fit naturally within Salesforce. The interface aligns with Salesforce design principles and supports both end users and administrators. This focus on usability helps lower the barrier to adoption and makes AI easier to introduce into existing workflows.
The solution also supports a human-in-the-loop approach, allowing users to review AI-generated output before it is finalized. At the same time, automation thresholds can be configured so that high-confidence results are processed automatically. This allows organizations to balance efficiency with control as they expand their use of AI.
The goal is not to replace processes, but to remove the manual steps that slow them down.
Co-founder DocStorm
Solutions like DocStorm reflect a broader shift in the Salesforce ecosystem. The conversation around AI is moving from experimentation to practical applications that solve specific operational challenges. Document intelligence is a natural starting point because it touches nearly every department and creates immediate value.
For Spire, this is an important development. It shows how innovation within the ecosystem can translate Agentforce capabilities into tangible business impact. With a completed proof of at Ludvig Svensson, DocStorm is already demonstrating how AI can streamline document-driven workflows inside Salesforce.
DocStorm is currently moving toward broader availability and is expected to become available soon via the Salesforce AppExchange.
Want to see how this works in practice?
Visit docstorm.eu or contact info@docstorm.eu to request a demo and explore how Agentforce-powered document intelligence can reduce manual work and improve data quality in Salesforce.
Spire helps organizations explore practical AI use cases like document intelligence and Agentforce-powered automation.
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