AI now, not later
Without AI at the core of your operations, you're left out of the next buying decisions
Executives who delay AI already see competitors cutting operational costs and increasing LTV with assisted experiences. The time to build an advantage is now.
- We help leadership teams prove AI ROI in weeks -- before board pressure increases.
- Clear roadmap with pilots prioritized by financial impact and feasibility.
- Integrated delivery: product, engineering, data, and governance working together.
WINDOW OF OPPORTUNITY
Latin American CEOs doubled AI investments throughout 2025 and enter 2026 expanding new pilots.
The first pilots that deliver revenue within 90 days set internal benchmarks. Those who arrive later must compete with targets already raised by competitors and investors.
Market signals
Over 60% of customers already expect AI-assisted features on the platforms they use weekly.
Risk of inertia
Manual processes without AI cost up to 40% more per operation in customer service, support, and operations teams.
DIMX Playbook
AI with proven ROI before the next board meeting
We execute the full cycle so you can launch AI with immediate financial impact -- from diagnosis and prioritization to monitored operations.
Four signs your company is delaying the AI advantage
Customers are asking where the AI is
Is your sales team already getting comparisons with competitors who announced copilots or intelligent support? The game has changed.
Critical processes remain manual
Customer service, support, or operations spend hours a day on repetitive tasks, leaving room for errors and higher costs.
Scattered data stalls decisions
Dispersed databases prevent managers from answering simple questions about churn, demand, or risk in real time.
Board pressure for efficiency
2026 targets already count on automation. Those who delay now enter the next cycle with reduced budgets and unattainable goals.
Competitive diagnosis in 10 days
We inventory processes, data, and AI opportunities to answer: where are you losing money by not automating today?
- Direct benchmark with players in your niche and global trends
- Data readiness, risk, and compliance analysis per use case
- Priority by financial impact and time to launch
Impact plan in 30 days
We map critical processes -- from customer service to back office and digital journeys -- and launch pilots with validated ROI before the quarter ends.
- Opportunity radar prioritized by financial impact and competitive risk
- Agents and copilots with payback indicators defined from kickoff
- Adoption playbook for sales, operations, finance, and product teams
Automation with invisible governance
We keep AI running with full monitoring and humans in the loop where it matters, without blocking compliance.
- Integrations with existing systems and APIs for immediate scale
- Quality, cost, and drift monitoring with real-time alerts
- Approval flows and auditable logs aligned with LGPD and compliance
Data ready for smart decisions
We structure data and models to anticipate churn, demand, and financial risks before they impact your revenue.
- RAG pipelines with versioned proprietary data and access governance
- Predictive models linked to business dashboards and continuous experimentation
- Privacy and security strategy designed with legal from the start
Pilots that free up cash in 90 days
We deploy agents, copilots, or predictions that measurably reduce costs or increase conversion.
- Complete technical design with integrations, security, and observability
- Dedicated squad with product, engineering, and data science
- Payback metrics tracked weekly with the board
Platforms augmented with proprietary AI
We connect AI to your core journey: customer service, sales, operations, or existing digital product.
- Assisted journey design validated with users and business stakeholders
- Product integrations with feature flags, usage metrics, and agent orchestration
- Monetization and upsell strategies tied to AI capabilities
Governance, ethics, and continuous scalability
We sustain AI operations with clear policies to avoid reputational and legal risks.
- Access policies, auditing, and bias mitigation with legal
- MLOps framework with automated testing, monitoring, and rollback
- Training for leadership and squads to operate AI day to day
What we deliver
From diagnosis to scale-up with governance
Competitive diagnosis + business case
Complete map of AI opportunities with payback, risks, and defined owners.
- Benchmark with market players and financial impact projections
- Assessment of required data, integrations, and compliance
- Quarterly roadmap prioritized with quick wins and strategic bets
Revenue-driven or cost-reduction pilots
Agents, copilots, or predictions in production within 90 days, with metrics tracked weekly.
- Multidisciplinary squad (product, data, engineering, and design)
- Integrations with existing systems and full monitoring
- ROI tracking dashboards for leadership and operations
Scale with governance and culture
Programs to expand AI safely while building internal team autonomy.
- MLOps framework and retraining with defined guardrails
- Responsible use playbooks and auditable access policies
- Training for leaders and teams to operate AI day to day
Contact
Let's talk
We'll get back to you within one business day.