AI agents and copilots
Agent-driven assistants for qualification, handoff, and internal decision support across business workflows.
Workflow cue: inbound lead triage → context enrichment → team-ready action.
Early-stage • in construction
We build AI products, automations, and agents that get real work done.
Meirelles Tech helps teams move faster with practical AI systems that reduce manual work without adding headcount.
- Founder-led
- Agent-first
- Early-stage and building
Qualification
Intent → budget → route
Integrations
WhatsApp · CRM · SQL · API
if score ≥ 0.72 → assign_agent("sales")
else → request_missing_context()
What we build
Core capabilities for practical AI execution
Six focused build categories that turn manual operations into working software, integrations, and agent-driven workflows.
Automation and integrations
Reliable automations connecting tools, inboxes, CRMs, forms, and APIs to remove repetitive manual operations.
Workflow cue: event trigger → rules + enrichment → synced systems.
AI-powered SaaS and internal tools
Lean products and operator-facing tools that embed AI into daily execution, not just demos.
Workflow cue: team input → model-assisted step → logged operational output.
Custom software
Web apps, dashboards, APIs, and utility scripts tailored to the exact process constraints of each operation.
Workflow cue: requirement mapping → build sprint → deployable software block.
Applied AI consulting
Hands-on guidance to convert manual workflows into realistic automation roadmaps with near-term implementation steps.
Workflow cue: process audit → automation map → implementation priorities.
Data & API orchestration
Pipeline-style workflow orchestration using Python, n8n, SQL, and service integrations to keep data and actions in sync.
Workflow cue: multi-source ingest → transform logic → API-delivered outcomes.
Startup program fit
Built around Claude-powered LLM workflows and agent-first systems for real business operations.
Meirelles Tech is intentionally early-stage, but the technical direction is already clear: ship practical software where LLM reasoning, orchestration, and human review work together to remove manual bottlenecks.
Open to direct conversations with Claude Startup Program reviewers, early partners, and pilot collaborators. Get in touch or join the waitlist.
In development
AI-assisted WhatsApp first-contact and lead qualification flow
Concept designed to answer inbound contacts, qualify leads, capture structured data, send a scheduling link, escalate edge cases to a human, and follow up automatically. This flow is currently being designed and validated, not live yet.
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1
Inbound contact
A prospect sends the first message on WhatsApp and starts the qualification journey.
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2
Guided AI qualification
The assistant asks concise, structured questions to understand intent, urgency, and scope.
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3
Lead data registration
Captured answers are formatted and registered in a lead record for clean handoff.
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4
Scheduling link handoff
Qualified leads receive a booking link so meetings can be scheduled without friction.
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5
Human escalation for edge cases
Ambiguous or sensitive requests are routed to a human instead of forced automation.
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6
Automatic follow-up
The system nudges unanswered leads and keeps the conversation moving to a decision.
Founder profile
Filipe Meirelles is a high-velocity builder, intentionally transitioning into software, data, and AI.
Founder-led studio
Hands-on execution with human-centered communication.
Filipe Meirelles
Tapiratiba/SP, Brazil
Filipe started his career as a Personal Trainer and now studies Computer Science while deliberately transitioning into software engineering, data systems, and applied AI.
He is fluent in English and uses that communication strength to translate business context into clear technical decisions, faster feedback loops, and practical collaboration.
His coaching background is treated as an advantage in one-on-one understanding, user empathy, and structured communication—not as a software credential.
Execution approach
He designs architecture, writes and reviews code, ships working systems, and validates decisions through real use in day-to-day workflows.
Current stack
Working style
Build process
From messy manual work to practical AI systems.
We start lean, ship what works fast, and improve from real usage instead of assumptions.
Small working systems come first — then we expand with evidence, learning, and measurable workflow gains.
FAQ
Answering the main questions, directly.
Short answers for reviewers, pilot teams, and partners evaluating early collaboration with Meirelles Tech.
What stage is Meirelles Tech currently at?
It is an early-stage, founder-led studio in active build mode. The focus right now is shipping practical AI workflow systems, validating with real users, and iterating fast based on operational feedback.
Is the WhatsApp qualification flow already live?
Not fully live yet. It is currently in development as a flagship concept, with the architecture and core flow being refined for reliable qualification, routing, and CRM/API handoff.
What workflows are a strong fit for AI automation?
Best-fit cases are repeatable, high-volume workflows with clear decision logic: lead qualification, support triage, structured follow-ups, data enrichment, and internal handoffs across tools through APIs and integrations.
How are custom builds approached?
Each build starts with workflow mapping, constraints, and measurable outcomes. Then comes a lean prototype, integration testing, and quick iteration cycles until the system is stable enough for production use.
How can we start a conversation?
Use the contact section to share your workflow challenge, pilot idea, or program context. You will get a direct response from the founder with a practical next-step proposal.
Exploring a pilot, partnership, or startup-program conversation? Get in touch directly and outline what you want to build.
Let’s build something practical
Talk to Meirelles Tech about AI products, automations, pilot ideas, or startup-program conversations.
Founder-led and early-stage by design — hands-on collaboration, fast iteration, and direct technical execution from first call to shipped workflow.
Start the conversation
Share your current workflow or pilot goal — we’ll reply with a practical next step.