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Sapient Slingshot Wins AI Excellence Award.
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Sapient Bodhi Ranked Globally for Deep Research.
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Meet Sapient Sustain. Context-aware AI for complex IT operations.
Enterprise AI That Understands Your Business
The enterprise context graph is the shared foundation behind Sapient Bodhi, Slingshot and Sustain. It gives AI the business context it needs to work across code, systems, workflows and teams.
What is an enterprise context graph?
An enterprise context graph is a living map of how your business works. It connects systems, workflows, rules, decisions and dependencies so AI can operate with business context, not just prompts or isolated data.
What is an enterprise context graph?
An enterprise context graph is a living map of how your business works. It connects systems, workflows, rules, decisions and dependencies so AI can operate with business context, not just prompts or isolated data.
Why enterprise AI needs business context
Generic AI can generate outputs, but it does not understand how your business actually works. The enterprise context graph gives Bodhi, Slingshot and Sustain the context they need to interpret business logic, preserve continuity across work and operate with greater control in complex enterprise environments.
Semantic definitions across systems, tools and people
Data to decision traceability
Why enterprise AI needs business context
Generic AI can generate outputs, but it does not understand how your business actually works. The enterprise context graph gives Bodhi, Slingshot and Sustain the context they need to interpret business logic, preserve continuity across work and operate with greater control in complex enterprise environments.
Semantic definitions across systems, tools and people
Data to decision traceability
The benefits of an enterprise context graph
Ground AI in business reality
Make decisions with full data visibility
Improve trust, governance and explainability
Turn every deployment into reusable intelligence
How the enterprise context graph powers each platform
As the shared context layer behind Bodhi, Slingshot and Sustain, the enterprise context graph helps every platform become more useful, accurate and valuable over time.
Explore our resources
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Article You’re Running a $10B Business With a Paper Map February 13, 2026
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Article AI ROI Starts With Understanding How Work Really Happens May 12, 2026
FAQs
What is an enterprise context graph?
An enterprise context graph is a living map of how a business works. It connects systems, workflows, rules, decisions and relationships so AI can understand business context, not just data.
Why is an enterprise context graph important for enterprise AI?
An enterprise context graph is important because enterprise AI needs more than prompts and data retrieval. It needs to understand how work gets done, what rules apply, which systems are involved and where decisions have dependencies.
How is an enterprise context graph different from a knowledge base or vector store?
A knowledge base or vector store helps AI retrieve information. An enterprise context graph helps AI understand how that information connects across systems, people, workflows and business decisions. It adds relationships and business meaning, not just access to content.
How does an enterprise context graph support regulated industries?
An enterprise context graph helps AI work in regulated industries by preserving the context behind policies, workflows, controls and decisions. That helps enterprises apply AI with more consistency, traceability and operational integrity.
How does an enterprise context graph power Bodhi, Slingshot and Sustain?
An enterprise context graph powers each platform differently. Bodhi uses enterprise context to design, deploy and orchestrate AI agents with governance. Slingshot uses enterprise context across the software development lifecycle to automate and accelerate modernization and new builds while avoiding impacts to existing dependencies, reducing risk and enabling clear traceability of code and changes. Sustain uses operational context to help anticipate issues, automate support and improve resilience in live enterprise environments.