AI Consulting for SMEs in Burgos — We accompany you on the path to the intelligent company

The AI tools market is flooded with solutions that promise to transform any process. Independent AI consulting starts from the company's real processes, not from the capabilities of any specific tool, to identify which problems have an AI solution and what return can be expected. This approach avoids implementing technology for fashion and ensures that every AI investment has a clear business case.

A software development agency builds what the client asks for. AI consulting helps the client define what to ask for: which processes to automate, with which tools, in what order and with what success metrics. Consulting precedes development and ensures that what is developed responds to a real business need with a justified ROI, rather than being the result of the latest technology trend.

The most frequent mistake in AI adoption in SMEs is starting to implement tools without prior diagnosis: buying a ChatGPT Enterprise subscription without knowing which processes it will improve, hiring a customer service AI agent without having documented the knowledge base it needs, or implementing automations in the wrong processes. Without strategy, AI generates costs without visible return and frustrates the team that expected quick results.

According to data from the 2025 Spanish Business Barometer report, 67% of Spanish SMEs are already evaluating or have implemented some AI solution in their processes. In Burgos, adoption is advancing more slowly than in Madrid or Barcelona, which creates a window of opportunity for local companies that get ahead: competitive efficiency advantages are built now, while most local competitors have not yet acted.

Three years ago, implementing AI in an SME required a team of data engineers and budgets of tens of thousands of euros. In 2026, tools like n8n with integrated AI, AI agents with accessible language models via API, and RAG systems with open-source vector databases have democratised access to AI. An SME in Burgos can have its first AI automations operational in a few weeks with an initial investment of a few thousand euros.

McKinsey and Gartner studies on AI adoption in SMEs show that companies that implement AI strategically in their processes achieve a 20–40% reduction in time spent on repetitive operational tasks in the first 12 months. For a Burgos SME with 5–10 employees, this is equivalent to freeing between 1 and 4 person-days per week to dedicate to higher-value activities.

The digital maturity diagnosis evaluates the current state of company digitalisation (which tools it uses, how they are integrated, what data it generates and how it uses it) and the AI improvement potential of the main processes. The result is a maturity score in each dimension and an identification of the areas where the gap between the current state and the potential is greatest.

With the diagnosis completed, we prioritise AI use cases according to their relationship between expected impact and implementation effort. High-impact, low-effort use cases are implemented first to demonstrate value quickly and fund the higher-investment initiatives with the savings generated.

Once the AI roadmap is defined, we accompany the client in the implementation of each initiative: selection of the most suitable technology provider, supervision of the implementation process, team training in the use of new tools, and monitoring of actual ROI versus estimated to adjust the roadmap if results differ from expectations. Accompaniment can be occasional (for implementations the client's team can execute independently) or intensive (for deeper transformations).

AI can automate the initial lead qualification (classifying incoming contacts by conversion probability according to form data and web behaviour), lead data enrichment (searching for the lead's company information on LinkedIn or in databases), and automatic follow-up with personalised communication sequences. The result is that the sales team dedicates its time to qualified leads rather than pipeline administrative management.

AI can automatically handle the most frequent and repetitive customer service enquiries (product information, order status, return policies, prices) leaving the human team for complex or high-sensitivity enquiries. For companies in Burgos with high volumes of standard enquiries, an AI agent can reduce between 40% and 60% of the customer service team load.

Automating operational processes with AI (document classification, data extraction from invoices or delivery notes, work report generation, data synchronisation between systems) frees the team from the most routine tasks. For industrial or distribution companies in Burgos with labour-intensive operational processes, the savings potential is especially high.

AI can improve marketing efficiency in multiple dimensions: generating text variants for A/B tests, personalising communications by client segment, analysing campaign performance and optimisation recommendations, creating first drafts of content (blog posts, product descriptions, emails) that the team reviews and refines. The result is more content of higher quality with the same team.

AI can automate periodic financial report generation (reconciling data from ERP, CRM and spreadsheets), detect anomalies in financial data that may indicate errors or fraud, and generate cash flow forecasts based on historical patterns and sales forecasts. For the financial manager of a Burgos SME, this frees the time spent on manual report preparation and shifts it towards analysis and decision-making.

A logistics services company in Burgos with 12 employees had a high administrative load: management of incoming orders by email, manual ERP updating, delivery note generation and delivery tracking. After the AI diagnosis, we implemented 5 automations with n8n and AI covering the complete order management cycle. In the first 6 months, operational costs of order management were reduced by 35% and the administrative team (from 3 to 2 people) also took on customer service management that had previously been outsourced. [See full case →](/casos-reales)

An accounting and tax management firm in Burgos with 6 employees wanted to grow without hiring more staff. The AI diagnosis identified that 40% of team time was spent on tasks that could be automated: invoice data extraction, bank movement reconciliation, periodic report generation and client follow-up communications. In 4 months of implementation, the team recovered the equivalent of 2.5 weekly working days. With the same headcount, the firm increased the number of clients served by 60%. [See full case →](/casos-reales)