Fullcast - MCP-Enabled Enterprise AI

Executive Summary

Lean Innovation Labs partnered with Fullcast over an extended engagement to embed AI directly into its core product experience.

Fullcast recognized that customers were spending significant time on manual planning and analysis, while expectations for AI-driven workflows were rising across the market.

Lean Innovation Labs worked as an extension of Fullcast's engineering team to design and deliver MCP-enabled enterprise AI capabilities that integrate securely with existing systems, data, and workflows.

The engagement concluded with a successful production launch in August 2025 that supported Fullcast's broader shift toward an AI-native platform.

Customer Overview

Customer: Fullcast
Context: Enterprise go-to-market planning and revenue intelligence platform
Engagement period: January 2024 to August 2025

Fullcast supports global revenue operations teams responsible for annual planning, revenue modeling, and sales performance. The platform is used to manage data that directly influences planning decisions and compensation outcomes. Customers rely on the system during high-impact planning cycles, which places strong expectations on data handling, access controls, and system reliability.

The Challenge

Fullcast was operating in a market undergoing rapid change. New AI-first tools were reshaping expectations for how planning, analysis, and decision support should work for go-to-market teams. At the same time, Fullcast supported large enterprise customers who depended on established workflows and trusted the platform with sensitive operational data.

The business challenge had two dimensions.

First, Fullcast needed to modernize a mature platform so AI could support core planning and analysis workflows in a way that felt native to how teams already worked. Customers were looking for faster insight during complex planning cycles without introducing new tools or fragmented experiences.

Second, this evolution needed to reinforce a broader shift in how Fullcast positioned itself in the market. The platform was expanding beyond point solutions toward a more comprehensive go-to-market planning and intelligence offering. Any AI capability needed to strengthen that direction and fit cleanly within the existing product.

Internally, Fullcast also faced capacity constraints. Accelerating this work required additional engineering support with experience integrating AI into enterprise systems while maintaining the security and reliability expected by large customers.

The Solution

Lean Innovation Labs partnered closely with Fullcast as an extension of the engineering and product teams. Over the course of the engagement, the focus was on embedding enterprise AI into the existing platform in a way that could support immediate customer needs and future product evolution.

Enterprise AI embedded within existing workflows Lean Innovation Labs helped integrate AI directly into the product experience so users could access insights within planning and analysis workflows they already used. This approach reduced friction and aligned with how enterprise teams operate during time-sensitive planning cycles.

Permission-aware AI interactions AI workflows were integrated with Fullcast's existing authentication and authorization model. User identity and access rights are preserved throughout each interaction so responses reflect the same data controls enforced across the platform.

Privacy controls before model interaction A privacy layer was implemented to detect and mask sensitive entities before any data is sent to external language models. This allows models to operate on meaningful operational context without receiving raw customer or company-specific data.

MCP-enabled integration designed for production use Lean Innovation Labs implemented an MCP-enabled integration layer to support secure interaction between AI systems and the platform. The emphasis was on reliability, observability, and long-term maintainability to ensure the system could operate at enterprise scale.

A foundation for continued AI expansion The resulting architecture supports ongoing expansion of AI capabilities across planning, intelligence, and execution workflows without requiring changes to the underlying platform structure.

Results

The engagement concluded with a successful production launch of the MCP Server to enable AI capabilities embedded within Fullcast's platform in August 2025.

The delivered system enabled AI-driven insight within core go-to-market planning workflows while maintaining strict access controls and data protections. It also established a scalable foundation that supported Fullcast's continued evolution toward an AI-native product strategy.

Following this work, Fullcast expanded its AI footprint as part of a broader platform repositioning focused on enterprise go-to-market planning and intelligence.

Client Testimonial

"The thoughtfulness of the team is impressive. When building the platform, they spent the time to think through the design." — CTO, Fullcast

Why Lean Innovation Labs

Lean Innovation Labs helps teams integrate AI into existing enterprise systems where data sensitivity, governance, and user trust matter. The team focuses on building AI capabilities that fit naturally into real products and established workflows.

For this engagement, Lean Innovation Labs worked within Fullcast's existing development process and delivered against quarterly milestones to bring enterprise AI into production.