Your manual processes running themselves

Any manual, rule-based and repetitive process: invoice processing, customer classification, report generation, data syncing between systems, email management, etc.

Generally not. We integrate the automation with your existing systems. The goal is to add intelligence on top of what's already working.

It depends on the scope: we define it together in a free discovery meeting and send you a fixed-price proposal.

Simple automations in 2-4 weeks. More complex integrations in 2-3 months.

We design with fallbacks: if the automation can't process something, it flags it for a human. The operation never stops completely.

No. We design automations to be self-maintaining. Exceptions are handled through a simple interface that doesn't require technical knowledge.

Yes. We deliver WhatsApp customer support automation on the official WhatsApp Business API: an AI agent answers FAQs, takes orders or bookings, qualifies leads and hands off complex cases to a human, 24/7. We integrate AI support automation with WhatsApp integration into your CRM so every conversation is logged.

We connect your bank account, your ERP and your payment processors (Stripe, MercadoPago, transfers) and the AI does automated transaction matching: it cross-checks every statement line against the matching invoice or payment, flags mismatches and leaves the close ready for review. It's one of the fastest-ROI use cases — teams that spent days a month reconciling payments cut it to minutes.

A traditional chatbot follows a predefined decision tree. An AI agent understands natural language, queries your data in real time, takes actions (open a ticket, schedule, update the CRM) and decides when to escalate to a person. For business chatbots that actually resolve issues we use AI agents connected to your systems, not simple Q&A bots.

n8n is open source: self-hosted, the license is free and you only pay for infrastructure (a USD 5-20/month VPS is usually enough). n8n Cloud, the managed version, starts around USD 20-50/month depending on execution volume. In a Zapier vs Make vs n8n pricing comparison, n8n is usually the most cost-effective at scale because it doesn't charge per executed task. The real project cost is the implementation — designing and connecting the workflows.

Every workflow we build ships with a control and monitoring dashboard: which runs succeeded, which failed and why, with automatic alerts (email, WhatsApp or Slack) on errors. Process control and automation isn't 'set and forget' — it includes full traceability of every execution and the ability to manually reprocess anything pending, so the team always has visibility and control over what the automation is doing.

RPA (Robotic Process Automation) automates repetitive tasks by mimicking what a person would do in an interface: copying data between systems, filling forms, generating reports. It's a more rigid, rules-based approach. At Deepyze we go further: we use AI (not just classic RPA) so the automation understands context, makes decisions and adapts to exceptions instead of breaking the moment something on screen changes.

It's the use of AI models (like GPT-4o, Claude or Gemini) to solve concrete business tasks: reading and classifying documents, answering customer queries, analyzing data and generating reports, or making routine decisions inside a process. Unlike generic personal-use AI, business AI integrates with your systems (CRM, ERP, databases) to automate real work, with human oversight on critical cases.