Team

Renato's direction. Specialized intelligence on every front.

My work combines 21 years of experience in marketing and entrepreneurship with the support of specialized artificial intelligence agents. The team expands the capacity to research, organize information and analyze alternatives. The strategic interpretation and the responsibility for the recommendations remain with me.

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Renato Paes Leme leads the strategy, the interpretation and the decision. The operational coordination of the core of agents is led by Daniela. Decisions that require professional responsibility remain with Renato.

Composition of the core

Agents with a defined role, scope and criteria.

Each agent has a defined role and contributes a specific deliverable. The relevant tracks are mobilised according to the question being analysed, under Renato's direction.

LeadershipAI agent

Daniela

Operations Leadership

AI agent responsible for the operational coordination of the core. Translates the strategic direction defined by Renato into priorities for the other agents, organizes the sequence of the tracks and monitors the consistency of the deliverables — from the opening of the work to the reading of results. It is not responsible for professional decisions: choices that require responsibility remain with Renato Paes Leme.

Work product: Priorities organized across the tracks and criteria to monitor the consistency of the deliverables.

Leadership of the operation and priorities of the core
Onboarding, adoption and account health
Continuity of the relationship through to the result

Specialized tracks

Manuela

Strategic Concierge

AI agent

First point of contact for the consulting. Understands the company's context, identifies whether the subject involves strategy, processes, automation, data or governance and routes each conversation to the appropriate path.

Work product: Initial reading of the context and an organized routing of the request.

Marcos

Business Diagnosis

AI agent

Transforms dispersed symptoms into a structured view of the problem. Organizes information from the operation, maps areas and systems, recognizes bottlenecks and formulates hypotheses about the causes before any recommendation.

Work product: Organization of hypotheses about causes and a map of bottlenecks and opportunities.

Beatriz

Data and Integrations

AI agent

Analyzes the quality of the information that sustains processes, automations and analyses. Defines the official source of each data point and maps integrations, permissions and the quality of information before connecting any system.

Work product: A system inventory and an integration map, with information-quality criteria.

Alexandre

Automation and Agents

AI agent

Transforms prioritized opportunities into executable solutions. Defines what is solved with simple rules and what requires artificial intelligence, establishing permissions, approvals, closing criteria and interruption rules.

Work product: A flow proposal, with approval points and a testing and validation plan.

Amanda

Revenue and Customer Experience

AI agent

Analyzes the journey from generation of interest to retention. Identifies where commercial opportunities are lost, where the customer has to repeat information and where continuity between areas breaks down.

Work product: A reading of the funnel, with hypotheses about where the experience breaks down.

Gabi

Value and Performance

AI agent

Translates technology initiatives into measurable economic hypotheses. Defines the baseline, estimates the impact on time, cost, margin and capacity, and compares the result obtained with the starting point.

Work product: A business case with a baseline, impact hypotheses and measurement criteria.

Yorran

Governance, Security and Risk

AI agent

Assesses the risk of each use case and defines limits, permissions and responsibilities. Acts from the beginning of the project, and not only at delivery, applying the principle of least privilege and interruption rules.

Work product: Risk classification, a permission matrix and interruption rules.

Fran

Customer Operations

AI agent

Is responsible for the operation that sustains each project: sequencing of the tracks, deadlines, pending items and consistency of the deliverables. Follows the work from diagnosis to the client's operation, so that pace, context or an owner is not lost.

Work product: An organized sequence of the tracks, with visible deadlines, pending items and owners.

Karen

Finance and Margin

AI agent

Analyzes the economic structure of the operation to identify where the company generates, preserves or loses value. Cross-references revenue, costs, capacity and profitability to reveal margin erosion, financial waste and opportunities to improve results.

Work product: A margin scenario analysis, with hypotheses about value erosion.

Felipe

Processes and Operational Efficiency

AI agent

Maps how work actually happens inside the company, identifying bottlenecks, rework, waiting, dependencies and waste. Redesigns flows before recommending automations or operational changes.

Work product: A redesigned flow proposal, with bottlenecks and waste mapped.

Augusto

Business Strategy and Scenarios

AI agent

Structures alternatives for relevant business decisions. Analyzes variables, risks, dependencies and possible consequences to build scenarios that allow comparing different paths before the strategic decision.

Work product: A scenario analysis, comparing alternatives, risks and consequences.

Marcus

Competitive Intelligence

AI agent

Investigates competitors, market movements, positioning, offers and changes capable of affecting the company. Organizes external signals to identify threats, opportunities and real spaces for differentiation.

Work product: A comparison of alternatives and market signals organized for decision.

Francis

Pricing and Monetization

AI agent

Analyzes how the company turns delivered value into revenue. Evaluates prices, discounts, packages, billing models and profitability to identify opportunities to capture more value without compromising positioning or margin.

Work product: A price scenario analysis and a map of opportunities for value capture.

João

BI and Decision Intelligence

AI agent

Transforms operational data into information useful for management. Organizes indicators, relationships between metrics and critical signals so that decisions are made with context, comparison and objective criteria.

Work product: Measurement criteria, organized indicators and signals for decision.

Rosana

Transformation and Change Management

AI agent

Plans the transition between the current way of operating and the new reality proposed by the project. Identifies impacts on people, routines and responsibilities to support the adoption of changes.

Work product: An adoption plan, with impacts and responsibilities mapped.

Rita

Business and Technology Architecture

AI agent

Connects strategy, processes, data, systems and technology into an integrated view of the company. Identifies dependencies and defines how different components should relate to sustain the operation and its evolution.

Work product: An architecture map and a comparison of evolution alternatives.

Fernando

Product and Innovation

AI agent

Investigates opportunities to create, improve or reposition products and services. Combines market needs, customer behavior, internal capacity and feasibility to structure innovation hypotheses.

Work product: Organization of product hypotheses, with an assessment of value and feasibility.

Carolina

Customer Intelligence

AI agent

Transforms customer interactions and behaviors into intelligence for decision-making. Analyzes signals of satisfaction, churn, recurrence and complaints to better understand the relationship between company and customer.

Work product: Organization of hypotheses about satisfaction, churn and retention.

Fernandes

RevOps and Commercial Performance

AI agent

Integrates the data and processes that connect marketing, sales, CRM, service and revenue. Identifies losses between funnel stages and improves visibility over capacity, conversion and commercial predictability.

Work product: A reading of the pipeline, with hypotheses about losses between stages.

Manuela

People Analytics and Organizational Design

AI agent

Analyzes how people, roles, responsibilities and capacity are distributed across the organization. Uses data and operational structure to identify overloads, redundancies, gaps and opportunities to improve the company's design.

Work product: A map of roles and responsibilities, with gaps and overloads pointed out.

Ana Clara

AI Governance and Technology Risk

AI agent

Assesses how artificial intelligence, agents and automated technologies can be used with control. Defines usage criteria, risks, limits, permissions and human supervision requirements for each application.

Work product: Usage criteria, limits and supervision rules for AI applications.

Inês

PMO and Portfolio Management

AI agent

Organizes initiatives, projects and dependencies to turn strategic priorities into coordinated execution. Monitors owners, deadlines, risks and capacity to prevent multiple tracks from competing, without criteria, for the same resources.

Work product: A comparison of portfolio alternatives and prioritization criteria.

Gisele

Revenue Assurance and Hidden Losses

AI agent

Investigates points where the company should capture revenue or margin but loses value due to commercial, operational or systemic failures. Cross-references processes, contracts, billing, discounts, customer behavior and execution to locate losses that usually remain dispersed.

Work product: Organization of hypotheses about revenue losses and a map of leaks.

How the team takes part in an analysis

From the question to the recommendation.

An analysis rarely belongs to a single area: a commercial problem may originate in the data; a service problem may start with the promise made during the sale. That is why the relevant tracks work in a coordinated way.

Renato defines the questionThe problem is delimited before any analysis.
The relevant tracks organize informationThe agents related to the subject take part — not all of them.
The analyses are verifiedCompleteness, coherence and contradictions are reviewed before interpretation.
Renato interprets and presents recommendationsThe final reading and the recommendation are his.

Illustrative example. Not every agent is called upon in every project: the tracks relevant to the question take part.

What sustains each analysis

Business context
Specialized knowledge
Research and evidence
Authorized data
Analysis tools
Quality criteria
Governance
Human supervision
Record of decisions
Result measurement

Supervision, quality and limits

How the core is supervised.

Supervision combines quality criteria, limits of practice and human review. Recommendations that require professional responsibility remain under Renato's direction.

Knowledge curation

Organizes documents, methods, criteria, references and learnings used in each project.

Research and evidence

Finds sources, verifies dates, distinguishes facts from hypotheses and records the origin of information.

Quality assessment

Reviews completeness, coherence, adherence to the objective and possible contradictions before delivery.

Security supervision

Defines criteria for access, handling of sensitive information, permitted actions and limits of use.

Orchestration

Directs each task to the appropriate specialist and limits the sharing of information to what is necessary.

Logging and traceability

Provides for the logging of tasks, sources consulted, actions executed, human interventions and versions of the deliverables.

Remains under Renato's responsibility

Understanding the business context.
Interpreting the different analyses.
Resolving conflicts between recommendations.
Defining priorities.
Assessing political and organizational impact.
Leading conversations with leadership.
Validating the strategy.
Approving the architecture.
Supervising implementation.
Presenting recommendations.
Taking professional responsibility for the work delivered.

What the team does not do

Pretending to be people.
Inventing information.
Hiding uncertainties.
Presenting estimates as guarantees.
Using data without authorization.
Accessing more information than necessary.
Executing sensitive actions without approval.
Sending external communications without authorization.
Assuming commercial commitments.
Making legal decisions.
Approving payments.
Signing contracts.
Changing critical systems without control.
Replacing the responsibility of the professionals involved.
Continuing to operate when security limits are exceeded.

Transparency

Clarity about who does what.

When a request requires strategic interpretation, confidential information, a sensitive decision or professional responsibility, the work is led directly by Renato.

The goal is not to display technology. It is to use it with clarity, control and responsibility — always with an identifiable person responsible for the result.

Imagine this capacity working inside your company.

The same principle applied in the consulting can be brought to the operation of other organizations: defined roles, delimited scopes, human validation and result indicators. The first step is to understand where this architecture can produce value.

Talk to Renato Understand the diagnosis