Documents and operations
Extract and classify information from invoices, orders or emails for your ERP or CRM. We define validation rules and keep exceptions under your team’s review.
Services
AI consulting and automation for your business.
Turn a time-consuming process into an artificial intelligence solution connected to your systems. We help you choose the use case and take it through deployment, with human oversight and criteria for evaluating the result.
Start with a process you can measure.
AI consulting fits teams that repeatedly handle documents, answer recurring questions or need to anticipate demand and detect problems. We review volumes, errors, time spent and data quality before deciding whether to use AI, conventional automation or a combination of both.
Based in Barcelona. Working with businesses across Europe, in English and Spanish, remotely or on-site.
Where it fits
AI assistants and agents
Search internal knowledge or support service teams through text and voice. We define sources, permissions, allowed actions and the points where a person must take over.
Prediction and quality
Evaluate machine learning models for demand, risk or quality. We assess their usefulness against the available data and an agreed baseline before deployment.
What you receive
Use case assessment
A map of the current process, data sources, dependencies and measurable objectives. Priorities based on impact, feasibility and effort.
Design and integration
Architecture, model selection, connections to your tools and access rules. We define which decisions need human review.
Pilot and evaluation
A trial on a real process, evaluation examples and a review of errors, time and costs. The results inform the decision to expand the scope.
Deployment and adoption
Documentation and team training, with a support and monitoring plan agreed in the proposal.
Control over data, models and actions.
If you need to manage AI use across several teams, we can connect the solution with Klarvai AI Governance Platform. During design, we agree on infrastructure, authorised providers, permissions and traceability.
Explore the AI governance platformBefore you start
How much does an AI consulting project cost?
It depends on the process, data readiness, integrations and expected operation. After reviewing the use case, we provide a proposal with scope, timeline and budget. We distinguish implementation from expected recurring costs such as infrastructure, models and support.
Do our data need to be ready before we start?
Not for the first conversation. We identify where data live, who can access them and their quality. If there is not enough usable data to apply AI, the first step may be improving the process or preparing the data.
Can AI integrate with our ERP or CRM?
We review your systems’ APIs, permissions and integration options. The proposal identifies feasible connections and how operations are validated before information is written or changed.
How do you measure whether automation works?
We agree on a baseline for the current process and useful measures: time per task, errors, required reviews and cost per operation. The pilot allows a comparison before deciding whether to extend the solution to more users or processes.
Tell us which task you want to automate.
Explain how it works today, which tools you use and where the process gets stuck. That context helps us propose a practical first step.