Internal software & AI for consultancies

Projects at Digitup Studio, a technical studio in Madrid that designs and builds custom software, start at €1,000 and are delivered from 2 weeks. Beyond that, the price depends on what the tool has to do, which systems it connects to (CRM, Drive, email, Teams or Slack) and how much documentation it handles. Something contained, such as a web assistant with the consultancy's information, sits closer to the minimum; integrations or a full internal system raise the price. Depending on the project, payment is by milestones, over 6 or 12 months or as a monthly fee, as we explain in ways of working.

The minimum delivery time is 2 weeks, for small, well-defined scopes. A first working version can usually be validated within weeks if the scope is clear; if several tools must be connected or years of projects gathered into one search, the work is organised in more phases. We don't work with a standard number of weeks: we set the schedule once we understand how your consultancy works. You also don't need a complete system from the start: you can begin with one piece, such as Knowledge Search or Meeting Copilot, and add proposals, Project 360 or the client portal later. That is how we approach any custom software.

Yes. We don't want to create another island: we can connect CRM, Drive, email, calendar, Slack, Teams, Notion, Jira, WhatsApp and other tools that have an API. Whether an integration is viable depends on the tool offering an API or a reliable data export, and that is the first thing we check before committing to anything. If an existing tool does the job well, we use it: we build a layer on top, sync data or develop only the missing part. When the problem is organising clients, opportunities and proposals, that part can be a custom CRM connected to the rest of your stack.

Each tool is designed with permissions by role and project, separation of information, action logging, protected credentials, backups and human review at critical steps. A consultancy handles strategic, financial and personal information about its clients, often under confidentiality agreements, so each user sees only what applies to them. The provider and the AI model are chosen with you based on privacy, cost and type of task, and an internal search can be limited to authorised sources using the technique known as RAG. Decisions on GDPR and confidentiality are the consultancy's to make: we do not give legal advice.

Repetitive work around knowledge and coordination automates well: summarising meetings and extracting decisions, tasks and risks; filing emails and documents under the right project; creating folders and checklists at each kickoff; preparing the weekly status report; reminding people of deliverables and flagging when something stalls; and drafting a first proposal from earlier cases and methodologies. All of it is built as automations with human approval where needed. What we don't automate is judgement: the diagnosis, the recommendation to the client, the final price or the decision to send. AI organises and prepares; your team reviews and decides.

The two partners of Digitup Studio, a technical studio in Madrid founded in 2019, run it. Stas Nikitin, CEO, defines the product, priorities and project management with you; Anton Zverev, CTO, with more than 10 years building digital products, decides the architecture and leads development. The project does not pass to a junior team after the first meeting: whoever talks to you is the person making the decisions. When the project calls for it, specialists from our network join in UX/UI, backend, data or AI. The team changes by project; the people in charge do not.

Not yet. There is no published case from a consultancy on our website, and we would rather say so than pretend to a specialisation we cannot yet show. We have built more than 50 projects since we started, and the case studies include systems with similar logic: the backoffice with assignment of jobs and a state machine that we built from scratch for Tasaciones.com, or the RAG and recommendation chat over the Mundomar Cruceros catalogue, the same principle as a search across your projects and proposals. On the first call we can go through the projects closest to your case.

The most direct route is to book a 30-minute call with Anton Zverev, the CTO, with no commitment; you can also write to us through the form on this page or at hola@digitup.es. You don't need to arrive with a solution in mind: it is enough to tell us how projects are won, where knowledge lives and which tools you use. We review the case, propose a technical approach and phases, and if it fits we start with a first version. If you have several ideas and don't know which to prioritise, an AI audit maps processes and opportunities before building. And if we think it isn't worth doing, we will tell you.