MareaAI
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Services

AI services, from first idea to production at scale

Six practices, one accountable team. We help you choose the right use cases, build secure solutions on your own data and run them reliably — with your people trained to own them.

Book a consultation How we work

01 · Strategy

AI strategy & roadmap

Know where AI will pay off before you invest — and in what order.

We assess your data, technology, people and processes, run discovery workshops with the teams who own the work, and score every idea by value, feasibility and risk. The result is a roadmap your board can approve and your teams can execute.

What we deliver

  • Readiness assessment: data, technology, people and processes
  • Use-⁠case discovery workshops
  • Value, feasibility and risk scoring
  • Business case and ROI model
  • Roadmap and operating model

Typical outcomes

  • A shortlist of use cases leadership agrees on
  • Quick wins sequenced alongside strategic bets
  • Clear budget and success metrics for each step
  • Business, IT and compliance aligned

Example use cases

  • Board-⁠level AI strategy
  • Use-⁠case portfolio
  • Build vs. buy decisions
  • AI budget planning
  • Operating model design
Illustration of a prioritization matrix, a roadmap path with milestone flags and a target

02 · Generative AI

Generative AI & assistants

Spanish-⁠first assistants that answer from your own documents and systems — with sources you can check.

We build retrieval-⁠augmented (RAG) assistants over your policies, manuals and contracts, plus customer-⁠service assistants for your website and WhatsApp. Every answer cites its sources, guardrails keep it on topic, and a person takes over when needed — in Spanish, English or Chinese.

What we deliver

  • Knowledge assistants over policies, manuals and contracts
  • Customer-⁠service assistants on web and WhatsApp
  • Internal copilots for sales, legal and HR
  • Document drafting and summarization
  • Citations, guardrails and human hand-⁠off

Typical outcomes

  • Faster, more consistent answers for customers and staff
  • Less time spent searching for documents
  • Experts freed from repetitive questions
  • Every answer traceable to its source

Example use cases

  • Policy & procedure assistant
  • Contract review
  • WhatsApp customer service
  • Sales proposal copilot
  • HR helpdesk
  • Meeting & report summaries
Illustration of a chat assistant answering from a stack of documents, with citation chips linking each answer to its source

03 · Automation

Intelligent automation & AI agents

Put AI to work on the back-⁠office tasks that consume your team’s day.

We combine document intelligence, business rules and AI agents to read, check and process invoices, purchase orders, contracts and emails. Agents act inside your ERP or CRM — and anything sensitive waits for a person to approve it.

What we deliver

  • Document intelligence for invoices, purchase orders, contracts and IDs
  • Email triage and routing
  • Agentic workflows in your ERP or CRM, with human approval
  • SUNAT electronic-⁠invoice validation
  • Account and payment reconciliation

Typical outcomes

  • Shorter cycle times and fewer manual errors
  • Teams focused on exceptions, not data entry
  • A full audit trail of every automated step
  • More capacity to absorb volume peaks

Example use cases

  • Accounts payable
  • Purchase-⁠order matching
  • Customer onboarding (KYC)
  • Email & ticket routing
  • Collections follow-⁠up
  • Bank reconciliation
Illustration of invoices flowing through extract, validate and post steps into an ERP, coordinated by an AI agent

04 · Data & analytics

Data & predictive analytics

Forecasts and risk scores that turn your historical data into better decisions.

We build predictive models for demand, churn, credit risk and maintenance, and computer-⁠vision models for quality inspection — on solid data foundations, so the numbers can be trusted and refresh automatically.

What we deliver

  • Demand and sales forecasting
  • Churn, propensity and credit or fraud risk scoring
  • Predictive maintenance and visual quality inspection
  • Pricing and inventory optimization
  • Data foundations: pipelines and data quality

Typical outcomes

  • Plans based on forecasts, not gut feel
  • Earlier warning of risk, churn and equipment failure
  • Fewer stock-⁠outs and less excess inventory
  • One trusted version of the numbers

Example use cases

  • Store and SKU demand forecast
  • Churn alerts
  • Credit scoring
  • Equipment failure prediction
  • Visual defect detection
  • Price optimization
Illustration of a predictive analytics dashboard with a forecast line, a confidence band, a bar chart and KPI tiles

05 · Integration & MLOps

Integration & MLOps

Production-⁠grade AI: integrated with your systems, secure, monitored and cost-⁠controlled.

We design the architecture on AWS, Microsoft Azure, Google Cloud or your own servers, connect it to your core systems through APIs, and run it with the monitoring, security and support an enterprise system needs.

What we deliver

  • Architecture on AWS, Azure, Google Cloud or on-⁠premises
  • Integration with SAP, Oracle, Microsoft Dynamics, Salesforce, HubSpot and in-⁠house systems via APIs
  • Evaluation and monitoring of quality, drift and cost
  • Security: SSO, role-⁠based access, encryption and audit logs
  • LLM cost control, support and agreed SLAs

Typical outcomes

  • AI inside the tools your teams already use
  • Predictable running costs
  • Issues caught early, often before users notice
  • A design your security and IT teams can sign off on

Example use cases

  • Cloud & on-⁠premises deployment
  • ERP and CRM integration
  • Model monitoring
  • Single sign-⁠on
  • Usage & cost dashboards
  • Support with agreed SLAs
Illustration of a cloud and server stack with a build, deploy and monitor loop, a security shield and an uptime gauge

06 · Governance & training

AI governance & training

Clear rules and confident teams — so AI is adopted safely and actually used.

We help you set responsible-⁠AI policies, assess risks, align with Peru’s Personal Data Protection Law (Ley N.⁠° 29733) and document your models. Then we train your teams, from the board to the front line, and track adoption.

What we deliver

  • AI policy and acceptable-⁠use guidelines
  • Risk assessment and model documentation
  • Data-⁠protection alignment with Ley N.⁠° 29733
  • Executive briefings, role-⁠based workshops and prompt-⁠engineering training
  • Change management and adoption metrics

Typical outcomes

  • Employees who know what they can and cannot do with AI
  • Lower legal and reputational risk
  • Faster, measurable adoption of new tools
  • Internal champions who keep improving use cases

Example use cases

  • Acceptable-⁠use policy
  • Board briefing
  • Prompt-⁠engineering workshops
  • AI risk register
  • Champions program
  • Adoption tracking
Illustration of a shield with a checklist, a balance scale and a small group of people facing a training screen

How we work

How engagements run

Every service follows the same four steps. Each one ends with a working result and a clear decision on what comes next.

  1. 01

    Discover

    Workshops with your teams, a review of data and processes, and a shortlist of high-⁠value use cases.

    1–2 weeks
  2. 02

    Design

    Solution architecture, success metrics and a working proof of value built on your real data.

    2–4 weeks
  3. 03

    Deploy

    Production-⁠grade build, integration with your systems, security review and user training.

    4–10 weeks
  4. 04

    Scale

    Monitoring, continuous improvement and new use cases on the same secure foundation.

    Ongoing

Durations are typical and depend on scope and data readiness.

Technology

Technology, chosen for your case

We are vendor-⁠neutral. We recommend technology based on quality, cost, security and your existing stack.

Models

Commercial LLMs and open-⁠source models, compared on your own data and tasks before you commit.

Cloud & infrastructure

AWS, Microsoft Azure, Google Cloud or your own on-⁠premises servers.

Data

Data warehouses and lakehouses, PostgreSQL and vector databases for search and retrieval.

Business systems

ERP, CRM, WhatsApp Business Platform, Microsoft 365 and Google Workspace.

Let’s talk

Not sure which service you need?

Start with a conversation. Tell us about your goals and we will suggest where to begin — an AI Discovery Workshop or a Proof of Value.

Book a consultation info@mareaai.com