Queues grow·reports stay manual·triage slows·work stalls

Broken workflows,
clear systems.

I’m David Dacruz. I help fix broken workflows and weak search structure with two focused offers: AI automation for operations, and AI SEO for pages that need clearer roles, schema, and internal links.

Contact
AEO Guideimplementation walkthroughSearch Readyclear search structureClaims Opsworkflow proof
AI automation—Workflow automation—CRM automation—Customer service automation—AI SEO—AEO SEO—AI automation—Workflow automation—CRM automation—Customer service automation—AI SEO—AEO SEO—

What needs fixing first

If the business is slowing down, what should you fix first?

Start with the constraint that already has a trigger, owner, and cost when it stalls. If the main problem is operational drag, begin with AI automation consulting. If the problem is that the right pages are still hard for search systems to interpret, surface, or cite, begin with the AI SEO consulting. From there, you can narrow into workflow automation, CRM automation, customer service automation, and AEO SEO.

  1. Automation
    teams

    AI Automation Consulting

    For teams dealing with repetitive workflows, weak handoffs, and too much operational drag.

  2. AI SEO
    search

    AI SEO Consulting

    Technical AI SEO, AEO, schema, and internal linking for sites that need to be easier to understand and trust.

  3. Workflow
    systems

    Workflow Automation

    For teams that can point to the step where work keeps stalling, but have not turned it into a reliable handoff yet.

  4. CRM
    pipeline

    CRM Automation

    Lead routing, enrichment, follow-up consistency, and less manual cleanup before the team can act.

  5. Support
    teams

    Customer Service Automation

    Support triage, repeat answers, escalation rules, and service workflows that need cleaner handoff.

If the problem is wider

Sometimes the fastest next step is to start from the use case. Sometimes the better move is to read real examples first and confirm the right scope before talking.

  1. Examples
    use cases

    Automation Use Cases

    Most useful when the pain is clear but the right first build is not yet obvious.

  2. Case Study
    proof

    Case Studies

    Review real examples before deciding whether the next step is automation, AI SEO, or a narrower service.

See automation services See AI SEO services

Core services

Browse closely related reading if you want a clearer view of the work, the examples, and the questions around it.

  1. Automation

    AI automation consulting

    For teams with operational drag, weak handoffs, and repetitive work.

  2. Overview

    AI automation

    A broad overview of automation systems, categories, and where they fit.

  3. Workflow

    Workflow automation

    For handoffs, process flow, and operational systems that break between steps.

  4. CRM

    CRM automation

    Lead routing, enrichment, follow-up consistency, and better record quality.

  5. Support

    Customer service automation

    Support triage, repeat answers, and escalation-aware service workflows.

  6. Examples

    Automation use cases

    Examples for teams that know the pain but not yet the best way to solve it.

AI SEO focus

Browse closely related reading if you want a clearer view of the work, the examples, and the questions around it.

  1. AI SEO

    AI SEO consulting

    Technical AI SEO, AEO, schema, internal links, and clearer search structure.

  2. AEO

    AEO SEO

    A clear explanation of answer engines, AI search, and the work behind them.

  3. Comparison

    AEO vs SEO

    A side-by-side view for teams deciding whether the next fix is classic SEO, AEO, or just clearer pages.

  4. Tools

    SEO AI tools

    Tool research that stays grounded in site structure, clear pages, and internal links.

  5. Case Study

    AI search readiness

    A representative example of making a site easier to understand, crawl, and cite.

David Dacruz — AI automation and AI SEO builder, Portugal

This site is now built around two main service areas: AI automation systems for operational workflows, and AI SEO services for clearer page jobs, schema, internal links, and stronger site structure.

Why work with the builder directly?

You work directly with the person deciding the page structure, workflow logic, internal links, and technical constraints, so diagnosis and implementation stay aligned from the start.

In practice that means starting with one important topic, one broken workflow, or one search-structure problem, making that part useful first, and only expanding once the result is clear.

About

Real systems.Real constraints.Real outcomes.

Selected proof

These are the examples that matter most to the current site: first-party AI search implementation, operational automation, reporting systems, and inbound-handling workflows. Each one is here to show the constraints, the decisions, and the result. See all case studies →

  1. AEO implementation guide

    AI search · answer engines · site structure

    Walkthrough

    How I optimized this site for AI search and agent-style crawlers

    A first-party walkthrough of the actual changes: key pages, schema, internal links, llms.txt, and a clearer service story.

  2. 13% -> 1.8%

    Claims ops · healthcare workflow

    Case study

    Medical billing claims automation — error rate cut from 13% to 1.8%

    A claims cleanup and validation workflow that removed repetitive rework, reduced monthly errors, and improved payment flow across a high-volume process.

  3. Search-ready structure

    Entity clarity · schema · internal links

    Case study

    AI search readiness — making a site easier to understand, cite, and trust

    A practical cleanup example: entity signals, support pages, internal links, and less ambiguity around what each page is for.

  4. Reporting ops

    executive summaries · internal delivery

    Case study

    AI executive reporting agent — turning recurring manual reporting into a repeatable delivery system

    A reporting workflow that reduces manual assembly, preserves context, and makes recurring delivery easier to trust.

  5. Inbound triage

    voice intake · response routing

    Case study

    AI voice receptionist — handling repeat inbound before the team loses time on the same first conversation

    A practical inbound-handling system for routing, qualification, and first response without pretending to replace human judgment.

Recent writing that supports automation and AI SEO