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Insights

How we think about growth and profitability problems

35 articles organized by practice. Each one starts from public frameworks widely used in the industry and grounds them in the operating reality of companies in Mexico and LATAM.

Notebook with strategy frameworks and research reports on a desk
Equipo diverso en sesión de gestión de talento

Talent Process Management

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The real cost of turnover: what never shows up in HR's budget
Talent

The real cost of turnover: what never shows up in HR's budget

Replacing a person costs between half and two years of salary. Almost none of that cost is recorded on the HR line.

6 min readBy Santiago Noriega
Succession plans that exist outside the slide deck
Talent

Succession plans that exist outside the slide deck

Almost every company has a succession plan. Very few can say who would fill the three positions that would hurt most tomorrow, and what that person is missing.

5 min readBy Santiago Noriega
Talent analytics: five indicators that actually change decisions
Talent

Talent analytics: five indicators that actually change decisions

HR dashboards usually have forty metrics and no decision attached to any of them. With five well-chosen ones, the whole cycle can be governed.

5 min readBy Santiago Noriega
9-box without theater: calibrating talent so it stops being an annual ritual
Talent management

9-box without theater: calibrating talent so it stops being an annual ritual

The performance-potential matrix does not fail because of the model, it fails because of the conversation. Without shared criteria and consequences, the 9-box is a picture nobody uses.

6 min readBy Santiago Noriega
Rolling out an HCM without breaking the operation
Talent management

Rolling out an HCM without breaking the operation

Most talent-platform rollouts slip because of process decisions nobody made before configuration started, not because of the platform.

7 min readBy Santiago Noriega
People analytics with AI: anticipating turnover before the resignation
Talent management

People analytics with AI: anticipating turnover before the resignation

A turnover model is not there to predict who resigns: it is there to identify which conditions produce resignations and fix them while there is still time.

6 min readBy Santiago Noriega
Applied AI

We use artificial intelligence as an accelerator, never as a replacement for judgment

AI lets us analyze more data, faster and deeper. The decision, the business judgment and the accountability for results remain human.

Diagnostics in weeks, not months

AI-assisted processing of transactions, contracts, tickets and operational data to reach validated hypotheses in week one.

Advanced analytics and predictive models

Elasticities, churn propensity, workforce attrition and P&L scenarios modeled with machine learning and actionable simulators.

Continuous competitive intelligence

Automated monitoring of pricing, competitors, regulation and market signals, synthesized into executive alerts.

Adoption with AI in the workflow

Copilots, assistants and automations installed inside the client so value does not depend on the consultants.

We work with data governance, confidentiality controls and human validation on every deliverable: AI accelerates the analysis, it never replaces the decision.