Strategic Workforce Planning with internal data, external data, and capabilities mapping

Strategies to leverage AI and ML in the workforce

Labor relations monitoring strategy - Xerebral Workplace Climate Gauge™ for signals and action

People data reporting and dashboards - design and strategy

ISO 30414 (Human capital reporting) guidance

Analytics and AI Maturity Assessment/Index tailored for small, mid-sized, and large organizations to frame strategy and operations

Data asset inventory to catalog data and assign sensitivity

Essential governance playbook to include data owner roles, metric definitions, and data quality SLAs

Responsible AI/ML use and bias testing

Data pipeline and tools strategy

Data quality strategy and recommendations

Data architecture

Insight reports that combine people data with business metrics and goals that tell the story of strengths, of areas for improvement, and of recommended actions.

Needs Diagnostics & Capability Heatmaps: Surveys, interviews, and skill inventories to identify gaps along with recommended learning, development and change management.

Behavior Change Metrics: Align learning with job performance KPIs (e.g., call center QA, project cycle time).

Strategies to leverage AI for microlearning and nudges.

Develop experience surveys, ongoing listening strategies, and other measurement strategies

Omni-Channel Signal Collection: Combine data from surveys, CRM, helpdesk logs, exit interviews, etc. to develop root-cause insights.

Leverage AI & NLP to detect emerging themes, anomalies, and sentiment shifts.

Employee / customer lifecycle journey mapping to identify areas to impact loyalty and business success.