BUSINESS STRATEGY, AUTOMATION AND AI

Less loss in the operation. More capacity to grow.

I help identify where your company loses time, margin and opportunities — and define improvements in processes, data, systems and artificial intelligence, connecting strategy to execution.

Renato Paes Leme. Advertising professional, entrepreneur and 21 years leading Arte com Pimenta.

Talk to Renato Explore the consulting

Renato Paes Leme, advertising professional, entrepreneur and strategic consultant

Background

21 years in marketing. A broader view of the business.

My trajectory leading Arte com Pimenta was built in marketing, communication and entrepreneurship. Today I broaden that work with the study and application of artificial intelligence, automation and systems. The criterion remains the same: understand the problem and its relevance to the business before choosing the solution.

Learn about my background →

The problem

Your company grew. Some processes were left behind.

Sales opportunities without follow-up.
Information scattered across departments and systems.
Rework that consumes the team's capacity.
Decisions delayed by the lack of reliable information.

The company keeps running, but each stage of growth costs more effort than it should. It is this kind of loss that my work seeks to reduce.

How the work happens

Three movements, from diagnosis to improvement in use.

The work starts from the operational problem and ends with the improvement working and being monitored. Strategy, data, systems and automation come in as means — not as the starting point.

See the nine steps

Understand and prioritizeProduces a clear diagnosis: where the operation loses capacity and what to solve first.
Structure the solutionProduces the design of the solution: processes, data, systems and responsibilities defined, ready to enter the routine.
Implement and monitorProduces the improvement in use, with defined indicators and progress being monitored.

Demonstration

How a problem becomes a priority.

Illustrative example. It does not represent a client case.

Situation: Commercial proposals depend on information scattered across messages, spreadsheets and systems.
Investigation: Origin of the data, owners, rework, approvals and waiting points.
Possible course of action: Organize a single source of information, define responsibilities and assess which steps can be integrated or automated.
Indicator: Preparation time, need for corrections and continuity of commercial follow-up.

Insights

Knowledge applied to decisions.

Published analyses on decisions, costs and risks that show up in the operation.

The mistake of automating before simplifying
Applying technology to a confusing routine does not solve inefficiency. It only accelerates the generation of inconsistencies and increases the operation's maintenance cost.
Read analysis →
Commercial qualification protects operational margins
Closing deals outside the ideal profile generates short-term revenue, but transfers an invisible cost of service that consumes the company's real margin.
Read analysis →
The hidden cost of maintaining models in operations
Integrating artificial intelligence into existing processes creates maintenance debt that most companies underestimate when calculating financial returns.
Read analysis →

See all insights

Engagement formats

Four ways to start.

The format depends on what the company already knows about its own problem. Indication, scope, deliverables and the next step for each one are on the Consulting page.

Understand each format

Executive diagnosisWhen the company realizes it is losing capacity and needs clarity to prioritize.

Implementation projectWhen the problem is already defined and the improvement needs to enter the routine.

Continuous strategic advisoryRecurring support for decisions, priorities and indicators.

Executive workshopsAligning leadership around a problem and the decisions it requires.

Team

Renato's direction, supported by a core of AI agents.

The strategic direction, the interpretation of the analyses and the professional responsibility for the work are Renato Paes Leme's.

Research, organization of information and analyses are supported by a core of artificial intelligence agents with defined roles and scope, working under human direction and review.

Meet the team →Read the principles of practice →