Intranet with Workflow Automation: Murcia Case Study 2026

See how Q2BSTUDIO cut manual work by 45% and accelerated cycles by 32% with an intranet workflow automation in Murcia. ROI in 9 months.

jueves, 13 de agosto de 2026 • 5 min read • Q2BSTUDIO Team

Automatización de intranet en Murcia con Q2BSTUDIO

The corporate intranet has stopped being a simple document repository and has become the operational brain of many companies. In Murcia, this transformation is especially visible in companies that need to coordinate teams, integrate legacy systems and reduce dependence on spreadsheets and emails. When workflow automation is added, the impact stops being a promise and becomes a measurable competitive advantage. Q2BSTUDIO, a software development and technology company with presence in Murcia, helps organizations of different sizes design intranets that not only centralize information, but also execute processes autonomously, securely and with full auditability.

The starting point in this case was a fragmented operation. A mid-size company in Murcia, dedicated to order management and logistics services, was working with five independent tools: the ERP for invoicing, a sales CRM, a document manager, shared folders and an internal communication tool. Each department used different criteria to record information, so the same incidents appeared duplicated or with contradictory states. Middle managers needed several hours every week to consolidate indicators, and management only saw a partial snapshot of real activity. The need was not to buy more software, but to organize operations with an intelligent layer that unified data and automated repetitive tasks.

Q2BSTUDIO proposed a solution based on a custom application with cloud architecture, supported by AWS/Azure and with cybersecurity criteria from day one. Instead of replacing existing systems, they built an intranet that connected to the ERP, CRM and document manager through APIs. On that foundation, automated workflows were defined for approvals, incidents, supplier onboarding and report generation. Every step was logged, with full traceability and access levels according to each person's role. AI was incorporated to classify documents, extract relevant data and propose answers in internal support tasks, while AI agents handled tasks such as order reconciliation or invoice error detection.

The process began with a diagnosis of processes: bottlenecks, response times and points where human error was more likely to appear were identified. With that data, Q2BSTUDIO defined key performance indicators before writing a single line of code. This discipline prevented the project from becoming a simple digital tool and turned it into a business lever with quantifiable objectives. The intranet design followed a modular approach: first a minimum viable product was delivered in a few weeks, then functionalities were expanded according to usage evidence and management committee priorities.

One of the most important decisions was not to eliminate the systems the company already used. The new intranet became the integration layer that connected the ERP, CRM, document manager and communication tools with automated workflows. To achieve this, Q2BSTUDIO designed custom connectors and small adapters that avoided double data entry. Every time the ERP registered an order, the workflow started: the person responsible was notified, the internal document was generated, the database was updated and the incident was published on the dashboard. In this way, information moved coherently between systems that previously lived in isolation.

Automation was not limited to mechanical processes. The AI agents built into the intranet could read a customer email, classify the request, check stock or order status and propose a response to the human team. In this way, people stopped doing repetitive tasks and focused on exceptions and higher-value decisions. The language model was supported by a document corpus belonging to the company itself, which avoided generic answers and improved precision in internal terminology. AI worked with real data, but always with the possibility that a professional could review the proposal before sending it to the customer or applying it in the system.

The system was designed so that AI would not act without supervision in critical steps. When a response proposal exceeded a confidence threshold, it ran automatically; otherwise, it was sent to a professional with full context. This logic combined speed and control, something especially important in a company with audit and data protection requirements. The infrastructure was deployed in the cloud, with AWS and Azure options, which made it possible to scale without hardware investments and apply automatic backup policies. For decision making, a dashboard based on BI and Power BI was integrated, where management could consult in real time the status of each flow, the volume of incidents and compliance with committed deadlines.

After twelve weeks of implementation, the results exceeded initial expectations. Manual work in target tasks fell by 41%, the average document approval time went from two days to less than one day, and record accuracy improved from 76% to 94%. Back-office operational costs dropped by 23% and management stopped waiting for month-end reports to detect issues: dashboards now update in real time. The return on investment was achieved before the eighth month, including development cost and infrastructure licenses. These figures confirm that an intranet with workflow automation is profitable when it is approached with process criteria and not as a simple technology upgrade.

The experience also left valuable lessons. First, technology is necessary but not sufficient: without a clear diagnosis, any digital tool ends up becoming another dead file. Second, integration with existing systems and data quality matter more than the complexity of the AI model. Third, adoption by people is achieved when they are given tools that remove work from them, not when they are forced to use new screens. Fourth, a gradual rollout reduces risk and allows the flow to be adjusted to real needs before generalizing. These conclusions are useful for any company planning a similar initiative in Murcia or anywhere else.

This Murcian company's case is not exceptional in its approach: any organization with repetitive processes, disconnected systems and lack of visibility can benefit from an intranet with workflow automation. The difference is in execution. Q2BSTUDIO combines experience in custom software, AI, cybersecurity and cloud to accompany its clients from diagnosis to daily operation. It also offers a management portal that allows business teams to configure agents, monitor costs and adjust flows without depending entirely on the technical team. This autonomy is key for the project to keep generating value over time.

Those evaluating this type of solution should ask themselves not only how much it costs, but what specific problem they are going to solve, which indicators they will use, and who will be responsible for driving change inside the organization. An intranet with workflow automation is not an IT project; it is a transformation of the way of working. With the right approach, results can be seen in weeks and the return on investment in less than a year. Well-deployed technology stops being an expense and becomes the foundation of a faster, more accurate and more transparent operation.

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