Automation discovery
Identify high-volume, rule-based, or data-driven processes prioritized by impact.
Integrate processes, data, and customer communication in one digital transformation stack—from workflow design to CRM.
We start with a process audit—mapping operations, scoring automation potential and business impact, and building a prioritized roadmap.
Identify high-volume, rule-based, or data-driven processes prioritized by impact.
Organize customer data, track interactions and opportunities, align sales and service.
Monitor performance, refine models, and uncover new opportunities.
D.T.S (Digital Transformation System) connects processes, data, tools, and teams so transformation becomes a coherent operating model.
CRM covers customer relationships; automation handles repeatable work within the same system.
Explore Aranexo · D.T.S & CRMDesign · Connect · Run · Improve
End-to-end workflow mapping and automation across procurement, finance, and HR—replacing manual steps with self-correcting intelligent automation.
Related serviceBest candidates are high-volume, rule-based, or data-driven processes: invoicing, onboarding, data entry, reporting, compliance checks, and ticket routing. We start with a process audit, score each workflow for automation potential and business impact, and build a prioritized roadmap.
Readiness is less about company size and more about clear problems and accessible data. If you have repetitive processes, high customer interaction volume, or decisions driven by patterns in data, you are ready to explore AI. Our discovery phase identifies where AI creates the most value for your situation.
Timelines vary by scope. A focused AI agent deployment may take 4–8 weeks; a full platform often 3–6 months. We work in two-week sprints with regular stakeholder reviews. Most clients reach agreement within two weeks of the initial consultation.