Digital solutions designed for each organisation's processes. From identifying needs to integrating systems, the aim is to make information more accessible and work simpler.
Application development to centralise information and support internal processes. SaaS solutions provide access to software as a subscription service.
Request management, records, workflows and private areas are examples of needs that may be addressed by a project. Features, access and terms of use are defined in the proposal.
Mobile applications developed from scratch or connected to existing systems.
The project considers users, devices and the data needed for each task. Integration with existing services and publication requirements are analysed when defining the scope.
Applications accessed through the browser, with an experience suited to computers, tablets and phones.
An option to consider when access to features is needed without relying on a native app. Installation and offline functionality are defined according to requirements and device capabilities.
Connections between applications to reduce repeated data entry and make information available where it is needed.
The analysis considers the systems involved, data formats, permissions and update frequency. Availability of third-party interfaces affects the scope of integration.
Work on compromised websites, including cleaning files and databases and assistance with removal from blocklists.
Monitoring, updates and server management may form part of the agreed support. Work begins with an assessment of the situation and available access, with priorities set for recovery and prevention.
Ongoing support for digital solutions and assessment of new needs after delivery.
Fixes, updates and new features are covered by the contracted service. Support terms, responsibilities and response times are defined before support begins.
AI integrated into new applications or existing systems. Assistants, information analysis and automation tailored to the organisation’s processes.
Objectives, data use, permissions and oversight are defined before implementation. The solution is assessed in the project context, without promising infallible decisions.
Integration of generative and operational AI into new applications or existing systems to support teams, automate tasks and improve access to information. Each solution is tailored to the organisation, available data and required level of control.
Internal assistants, document search, content preparation and summaries, according to project requirements.
Request classification, information extraction, task routing and decision support within the organisation’s processes.
Connections to applications, databases and APIs, with access and permissions defined for each use.
Workflows that distinguish suggestions from executed actions, with human approval at relevant stages and agreed control rules.
Gather the context, objectives, conditions and priorities of the request.
Define the scope, deliverables, terms and schedule before work begins.
Carry out the work and agree ongoing support according to the contracted service.
Yes. Integration is assessed against the available systems, data and access. The scope defines the tasks supported by AI, permissions, validation and terms of the services used.
Not necessarily. Integration may allow existing applications to be retained. Feasibility depends on the access and interfaces provided by each system.
Yes. The scope can be organised by priorities and phases, with features and deliveries agreed before development.
Maintenance and support terms are defined in the proposal. Services or response levels are not assumed unless agreed.
The form allows a description of the project and up to three PDFs, with a combined limit of 5 MB. The scope of the request is confirmed after assessment.
Let's talk ↗