How Strategy powers Bodhi
Most AI pilots stall under compliance and workflow limits. Sapient Bodhi embeds agents in workflows with clear accountability and measurable performance.
Sapient Slingshot Wins AI Excellence Award.
Sapient Bodhi Ranked Globally for Deep Research.
How to Choose an AI Software Development Platform.
We help enterprise organizations move from scattered pilots and stalled modernization to clear decisions and platform activation. That means choosing what to modernize, where AI belongs and what to stop before complexity compounds.
Strong strategy starts with clear priorities and clear ownership. We define the systems that constrain growth. We identify where AI can operate safely. We clarify governance before deployment. We remove initiatives that dilute impact. Then, we activate the right platform and make the decision executable.
Deciding what to build, why it matters and how it pays off
Strategy embedded in delivery model
Strong strategy starts with clear priorities and clear ownership. We define the systems that constrain growth. We identify where AI can operate safely. We clarify governance before deployment. We remove initiatives that dilute impact. Then, we activate the right platform and make the decision executable.
Deciding what to build, why it matters and how it pays off
Strategy embedded in delivery model
Our strategic capability comes to life through enterprise platforms that can support decisions from initial testing through full-scale deployment.
Most AI pilots stall under compliance and workflow limits. Sapient Bodhi embeds agents in workflows with clear accountability and measurable performance.
Modernization slows without visibility into dependencies. Sapient Slingshot uses AI to uncover logic, validate approaches and preserve critical rules.
AI and modernization add operational pressure. Sapient Sustain sets targets upfront and monitors systems to ensure continuous improvement.
<p>assets in two months</p>
<p>reuse across brands</p>
A global CPG brand faced fragmented content systems across markets. Production cycles were slow, asset reuse was inconsistent, and AI experimentation lacked alignment to enterprise standards.
We identified the content supply chain as the highest-impact workflow for agentic AI. Governance and deployment requirements were defined before activation. Using Sapient Bodhi, AI agents were embedded into production workflows, reaching 64 percent adoption in two months and accelerating content cycles by 75 percent.
<p>faster automated code generation</p>
<p>test efficiency<br> </p>
RWE operated complex legacy systems that slowed change and increased modernization risk. Critical business logic was buried in decades-old code, limited agility and increasing operational exposure.
Business rules were surfaced, dependencies mapped and lifecycle automation activated. Modernization accelerated up to 75 percent while reducing defect risk and preserving operational stability.
Ming Tsai
Global Strategy Lead
Sabrina McPherson
Senior Managing Director
Xavier Cimino
Senior Managing Director
Mounir Aris
Senior Managing Director
Phil Phelan
VP, Strategy and Consulting