Senior AI engineering for US companies — from assessment to production
We help growing US companies put AI to work inside real workflows: higher output per employee, lower operating costs, healthier margins and processes that run without heroics. Delivered by a senior nearshore team in Brazil, working in your time zone.
Book a free AI assessmentWho we work with
- SMBs, scale-ups, PE-backed companies and agencies that need senior AI talent without a long hiring cycle.
- Product and engineering leaders who want to extend their team with reliable nearshore specialists.
- Operators who know which workflows are eating their margins and want them automated properly.
AI assessment & roadmap
Before tools, we learn the business. In 2–3 weeks we map workflows, costs, systems and data to find the highest-ROI AI opportunities and the right order to build them.
The problem we solve
What we deliver
- Interviews with leadership and front-line teams.
- Workflow maps with time, cost and bottlenecks quantified.
- Systems and data inventory (CRM, ERP, SaaS stack, data warehouse).
- Opportunity matrix with estimated ROI and effort.
- A prioritized 90-day roadmap with the first pilot fully scoped.
Typical use cases
- Operations: where automation removes the most manual hours.
- Customer support: which tiers agents can handle safely.
- Finance: which close, AP/AR and reporting tasks to automate first.
Expected outcomes
- A board-ready business case for AI investment.
- Alignment between leadership, IT and operations.
- A pilot scoped to ship in 30–60 days.
Business copilot & knowledge AI
An AI that actually knows your company. We connect SOPs, contracts, product docs, ticket history, CRM and KPIs into a secure retrieval layer your team can query in plain English — in the browser, Slack or Microsoft Teams.
The problem we solve
What we deliver
- Retrieval-augmented generation (RAG) over your documents and data.
- Role-based permissions mirrored from your existing tools.
- Answers with source citations for verification and trust.
- Live connectors to CRM, ERP and BI for up-to-date numbers.
- Usage analytics, evals and a feedback loop to keep quality high.
Typical use cases
- Sales: pricing, proposals, competitive answers and objection handling.
- Support: suggested replies grounded in your knowledge base.
- Leadership: "which accounts are trending down this quarter?" answered instantly.
- People ops: guided onboarding and policy Q&A.
Expected outcomes
- Faster ramp-up for new hires.
- Fewer interruptions for senior staff.
- Institutional knowledge captured, organized and reusable.
AI agents & workflow automation
AI agents complete real tasks: they read documents, talk to customers, query systems, update records and escalate to people when needed. Every automation ships with clear guardrails, audit logs and human-in-the-loop checkpoints.
The problem we solve
What we deliver
- Process mapping and redesign before automation.
- Customer-facing agents for chat, email, SMS and WhatsApp.
- Back-office automation: orders, invoices, onboarding, reconciliation, collections.
- Intelligent document processing for PDFs, invoices and contracts.
- Approval rules, audit trails, monitoring and alerting.
Typical use cases
- Support: triage, answers, scheduling and order status around the clock.
- RevOps: lead enrichment, qualification, follow-ups and CRM hygiene.
- Finance: AP intake, reconciliation and collections reminders.
- Operations: orders received by email entered straight into your ERP.
Expected outcomes
- Up to 10x throughput on automated tasks.
- Fewer manual errors and less rework.
- People focused on customers, judgment calls and growth.
Systems & data integration
AI is only as good as the data it can reach. We connect CRMs, ERPs, e-commerce platforms, payment providers and internal tools through APIs and pipelines — creating a single source of truth.
The problem we solve
What we deliver
- Custom API development and third-party integrations.
- Automated sync for customers, products, orders and finance.
- Data cleanup, modeling and governance.
- Legacy modernization without stopping operations.
- Integration monitoring with failure alerts.
Typical use cases
- Shopify/WooCommerce synced with ERP and inventory in real time.
- HubSpot or Salesforce populated automatically from every channel.
- Multi-entity financial consolidation.
Expected outcomes
- No more double entry or shadow spreadsheets.
- Clean, reliable data ready for AI and analytics.
- An architecture that scales with the business.
AI-powered dashboards & analytics
Executive dashboards with the KPIs that matter, plus an AI layer that lets anyone ask questions of the data in plain English and get proactive alerts when something drifts.
The problem we solve
What we deliver
- KPI definition workshops with leadership.
- Automated, always-fresh dashboards.
- Natural-language queries ("what was gross margin by product line in March?").
- Anomaly alerts for churn, stock-outs, late payments and pipeline drops.
- Forecasting for demand, cash flow and revenue.
Typical use cases
- Leadership: daily view of revenue, margin, cash and targets.
- Distribution: demand and inventory forecasting.
- Sales: funnel, conversion and rep performance.
Expected outcomes
- Decisions in days, not weeks.
- Bottlenecks visible before they become losses.
- One version of the numbers across the company.
AI-native product development
Our roots are in building web platforms, SaaS products, mobile apps, APIs, e-commerce, e-learning and financial systems. Today we build them with AI at the core — and use AI-assisted engineering to ship faster without cutting corners.
The problem we solve
What we deliver
- Custom web apps, customer portals and SaaS platforms.
- Mobile apps and polished UX/UI.
- Embedded AI features: semantic search, recommendations, assistants, data extraction.
- Secure, scalable cloud architecture on AWS or Google Cloud.
- Code reviews, tests, CI/CD and documentation as standard.
Typical use cases
- Customer portal with an AI assistant for orders and account questions.
- E-learning platform with an AI tutor.
- Vertical SaaS for a specific industry workflow.
Expected outcomes
- Software that fits your process, not the other way around.
- A competitive edge that is hard to copy.
- Faster delivery with AI-assisted engineering.
On-demand senior team & ongoing AI operations
Every client works with a single senior project lead who owns the engagement end to end — planning, communication, quality and roadmap. When the project needs more capacity, we assemble a distributed team of vetted remote specialists (AI, data, full-stack, design) shaped to your scope, all in time zones that overlap your business day.
The problem we solve
What we deliver
- One accountable senior project lead from kickoff to go-live and beyond.
- On-demand distributed team of remote specialists, assembled for your project.
- Full working-hour overlap with US Eastern and Central time; partial with Pacific.
- Structured communication: a preview of what will be built, regular check-ins, reports by email or a tracking dashboard, and staging environments for every delivery.
- NDAs, full IP assignment to your company and USD invoicing.
Typical use cases
- Startups and scale-ups adding AI capability without a long hiring cycle.
- Agencies and consultancies that need a reliable white-label engineering partner.
- In-house IT teams that need senior reinforcement for a specific AI initiative.
Expected outcomes
- Senior capacity in weeks instead of months, sized to each project.
- A single point of accountability and predictable delivery.
- Lower total cost than building the same team in-house.
Engagement models
Assessment
Fixed-fee, 2–3 week engagement with roadmap and ROI model.
Project
Defined scope, timeline and price for a pilot or a specific build.
Ongoing engagement
Monthly retainer to build and run your AI roadmap, with a team sized to demand and led by one project lead.
Frequently asked questions
How much time-zone overlap do we get?
São Paulo is 1–2 hours ahead of US Eastern Time depending on daylight saving, so we work during your entire business day on the East Coast and most of it on the West Coast.
Who owns the code and IP?
You do. Our contracts include NDAs and full assignment of intellectual property to your company. Code lives in your repositories and cloud accounts from day one.
How do you handle security and data privacy?
Least-privilege access, your accounts and SSO where possible, secrets management, audit logs, and AI providers with contractual commitments not to train on your data. We align with your compliance requirements (e.g., SOC 2 controls, HIPAA or state privacy laws) as needed.
How fast can you start?
An assessment can usually begin within a couple of weeks of the first call, and the first pilot is designed to reach production in 30 to 60 days.
How do you price your work?
Fixed-fee for assessments and well-defined projects; monthly retainers for ongoing work. All invoicing in USD.