Board Introduces Decision Layer to Connect Data and AI for Smarter Business Planning
Board has launched the Contextual Decision Layer, aiming to transform enterprise data and AI investments into actionable business plans and decisions. The solution adds vital context and governance to data platforms and AI services.
Boston, MA – August 6, 2026 – The Enterprise Planning Platform, Board, today introduced its Contextual Decision Layer for Continuous Planning. This new layer is designed to help organizations leverage their investments in enterprise data fabrics and artificial intelligence to generate governed plans, forecasts, scenarios, and aligned business decisions.
Many enterprises have invested heavily in advanced data platforms, analytics, and AI technologies. However, a common challenge persists: translating these significant investments into improved financial and operational decision-making. Fragmented business definitions across systems, siloed planning processes, and AI-generated insights that lack necessary context and accountability hinder effective enterprise decision-making.
The Board Contextual Decision Layer addresses this gap by connecting governed enterprise data and AI services with essential business semantics, planning models, deterministic calculations, and workflow controls required for Continuous Planning. It enhances existing data platforms like Databricks, Snowflake, and Microsoft Fabric by enriching their data with planning-ready business context. This includes shared definitions, metrics, hierarchies, plans, forecasts, scenarios, business rules, and operational constraints.
This new layer facilitates an always-on planning approach where plans and forecasts adapt dynamically to changing internal performance and external market signals. By linking financial and operational planning within a single, governed environment, Board enables organizations to respond more rapidly to business shifts, improve cross-functional alignment, and maintain accountability through defined workflows and approval processes. Leaders can use the solution to identify risks, test various scenarios, and make more cohesive decisions in an evolving business landscape.
David Marmer, Chief Product Officer at Board, stated that the Contextual Decision Layer grounds AI in trusted business definitions, planning models, and controlled workflows, making AI operationally valuable for critical financial and operational decisions. This creates a continuous, governed cycle between enterprise data, planning, and decision-making, ultimately driving improved business outcomes.