(How we work)

An AI department,
run like one

AI Infinity works as your internal AI department: a dedicated squad, a roadmap tied to your strategy, and agents operating inside your systems under governance. Engagements are defined by scope, team and governance, never by seats.

(01)Engagement model

Defined by scope,
team and governance

Cost follows the operation you receive, not the number of users who log in. That keeps incentives aligned with results.

01

Scope

The areas and processes the department covers, ranked by impact and feasibility during mapping.

02

Team

A named squad sized to the scope: business and project management, prompt and AI engineering, automation.

03

Governance

The committee, policies, human checkpoints and audit trails that keep AI under the company's control.

(02) What you get

Four
pillars

Strategy, operation, models and compliance, delivered as one accountable service.

  1. 01

    AI strategy

    Assessment, opportunity mapping and an adoption roadmap tied to the company's strategy and its P&L.

    • Process and data assessment
    • Use-case map ranked by impact and feasibility
    • Adoption roadmap in waves
  2. 02

    Dedicated operations

    A specialist squad that works as your internal AI department, with governance, rituals and SLAs.

    • Named squad embedded in your routines
    • Weekly performance reviews
    • SLAs on support and evolution
  3. 03

    Applied models

    Agents and models built, integrated and maintained on your own data, with continuous observability.

    • Agents trained on company data
    • Integration with ERP, CRM and channels
    • Monitoring, evaluation and retraining
  4. 04

    Compliance & security

    A protection layer, audit trails and regulatory alignment from the first day of the engagement.

    • AI usage policy and committee
    • Isolated environments per client
    • LGPD- and GDPR-aligned data handling

(03)The squad

The complete AI team
that completes yours

A named squad works inside your routines, with the rituals and accountability of an internal department.

  • 01

    Business manager

    Owns the roadmap with your leadership and answers for the business results.

  • 02

    Project manager

    Runs delivery, rituals and SLAs, and keeps every wave on schedule.

  • 03

    Prompt & AI engineers

    Design, evaluate and improve the agents and models on your data.

  • 04

    Automation lead

    Connects agents to your ERP, CRM and channels and keeps integrations healthy.

You keep the IP

Agents, prompts, integrations and documentation belong to your company.

(04)Rollout

Four phases to a
full department

Start small and safe, prove accuracy next to your team, then expand in planned waves.

01

Mapping

We assess workflows, systems and data, and rank use cases by impact and technical feasibility.

What you get

  • Process and systems map
  • Prioritized use-case backlog
  • Adoption roadmap and governance model

Your team: Process owners join interviews and validate the priorities.

02

First agents

Specialist agents go live on critical, low-risk tasks, run in parallel with your team until accuracy is proven.

What you get

  • First agents in production
  • Integration with your ERP or CRM
  • Accuracy validated with your team

Your team: Key users review outputs and approve the switch from parallel run to production.

03

Expansion

New agents join in planned waves, departments connect and workflows are orchestrated end to end.

What you get

  • New areas onboarded in waves
  • Cross-department orchestration
  • Executive dashboards

Your team: Department heads sponsor each wave and set the target indicators.

04

Optimization

Models are refined with accumulated data and the squad keeps evolving the department under SLA.

What you get

  • Continuous model improvement
  • Advanced predictive analysis
  • Ongoing support under SLA

Your team: Leadership reviews results with the squad on a fixed cadence.

(05)Operating rhythm

After go-live,
the work continues

AI that is not operated degrades. This rhythm keeps agents accurate and useful.

  1. 01

    Always on

    Agents run in production with audit trails. Critical actions wait for a human checkpoint.

  2. 02

    Every week

    The squad reviews performance data with your team and adjusts agents, prompts and flows.

  3. 03

    On a fixed cadence

    Leadership and the AI committee review results against the roadmap and approve the next wave.

(06)Architecture

Built on the systems
you already run

No ERP replacement, no new platform to learn. The AI layer sits on your stack, and every critical action passes a person.

See all integrations
ERPCRMChannelsHelp deskData

AI Infinity layer

Agents · models · governance

FinanceOperationsSalesPeopleLegal & taxService

50+  systems already connected in client operations

  • SAP S/4HANA
  • Oracle NetSuite
  • Microsoft Dynamics 365
  • TOTVS
  • Sankhya
  • Senior
  • Benner
  • Mega ERP
  • Omie
  • Bling
  • vhsys
  • Conta Azul
  • Salesforce
  • HubSpot
  • Pipedrive
  • Bitrix24
  • Kommo
  • Zoho
  • RD Station
  • WhatsApp
  • Zendesk
  • Huggy
  • Slack
  • Meta
  • Google Ads
  • Mailchimp
  • ActiveCampaign
  • Brevo
  • Shopify
  • VTEX
  • Nuvemshop
  • Tray
  • Olist
  • Asaas
  • Flash
  • Caju
  • Sólides
  • Gupy
  • Intelipost
  • Fretebras
  • nstech | kmm
  • Cargo Sapiens
  • MS Brasil
  • Databricks
  • Tableau
  • Notion
  • ClickUp
  • monday.com
  • Docusign
  • Clicksign

(07) FAQ

Working with AI Infinity

01

Who is on the AI Infinity squad?

Each engagement has a business manager, a project manager, prompt and AI engineers, and an automation lead. The business manager owns the roadmap with your leadership; the others build, integrate and operate the agents.

02

How does an engagement start?

With mapping: AI Infinity assesses workflows, systems and data and ranks use cases by impact and feasibility. The first agents then go live on critical, low-risk tasks and run in parallel with your team until accuracy is proven.

03

How long until we see results?

It depends on the area and the data. In sales operations, gains in productivity and booked meetings usually appear within 30 days and ROI within 90 days. In other areas, the first agents go live in the first wave and the roadmap sets milestones per area.

04

Do our employees need technical skills?

No. AI Infinity's squad develops, integrates and trains the agents. Your teams take part as process owners and reviewers, and receive training on what to delegate to AI and how to review it.

Start with
one area

Book a strategy session. We review your current architecture, map the bottlenecks and outline where AI pays off first. The session is free and carries no commitment.