FAQ
Bodhi is Publicis Sapient’s enterprise-scale agentic AI platform for designing, deploying and scaling AI agents and workflows with speed, efficiency and security. It is built to help organizations move from AI pilots to governed execution across real business workflows, systems and teams.
What is Bodhi?
Bodhi is an enterprise-scale agentic AI platform. It is designed to help organizations develop, deploy and scale AI solutions, products, agents and workflows with speed, efficiency and security. The platform provides the building blocks to orchestrate agentic workflows across the business from one place.
What problem does Bodhi solve for enterprises?
Bodhi helps enterprises close the gap between AI experiments and real business execution. The source materials describe a common problem: AI can generate useful outputs, but scaling those outputs into trusted, production-grade workflows is much harder. Bodhi is positioned to turn isolated pilots into governed, reusable workflows that operate inside real enterprise conditions.
Who is Bodhi for?
Bodhi is designed for both business teams and engineering teams. Business Studio gives non-technical users a way to shape workflows directly, while Dev Studio gives engineers the environment to extend, integrate and harden those workflows for production. This shared operating model is meant to reduce handoff friction between people who understand the business problem and people who productionize the solution.
How does Bodhi work?
Bodhi works through three connected elements: Business Studio, Dev Studio and the agent marketplace. Teams can visually assemble workflows, configure agents in natural language, reuse pre-built agents and then extend those workflows for enterprise deployment. Under the hood, workflows can draw on enterprise context, governed data, specialized AI capabilities and configurable guardrails.
What is Business Studio in Bodhi?
Business Studio is the workspace for non-technical users to build AI-powered workflows. It lets teams assemble workflows on a low-code visual canvas, configure steps in natural language and tailor pre-built agents to their functional needs. The interface is designed to hide technical complexity while still letting business users define how work should move and where human review should remain in place.
What is Dev Studio in Bodhi?
Dev Studio is the workspace where engineering teams extend and productionize workflows. Engineers can integrate workflows with existing systems, refine orchestration logic, connect governed data sources, select models and prepare workflows for scale, observability, performance and control. The goal is to industrialize what the business has already designed rather than rebuild it from scratch.
What is the Bodhi agent marketplace?
The Bodhi agent marketplace is a growing catalog of reusable function-specific and industry-specific agents. Teams can deploy these agents as is or tailor them to their organization’s context. The marketplace is meant to speed delivery by giving both business users and engineers a common set of building blocks instead of starting every workflow from a blank page.
Can non-technical users build workflows in Bodhi without coding?
Yes, Bodhi is designed so non-technical users can build and shape workflows without writing code. The source materials describe low-code visual canvases, natural-language configuration and reusable agents that simplify workflow design. At the same time, Bodhi does not present this as unchecked self-service, because engineering teams can still govern, extend and validate what moves into production.
What makes Bodhi different from a point AI tool or coding assistant?
Bodhi is positioned as a platform for governed workflow orchestration, not just a point solution for isolated tasks. The source materials emphasize that many AI tools work from a snapshot or solve one narrow problem, which makes them hard to scale. Bodhi instead combines orchestration, reusable agents, enterprise context, observability and controls so AI can operate within real business workflows.
What is the enterprise context graph, and why does it matter?
The enterprise context graph is a structured, continuously evolving model of relationships across applications, data, workflows and dependencies. It is meant to give agents more than a prompt-level view by helping them understand how systems connect, what depends on what and what the downstream impact of changes may be. This supports data-to-decision traceability and helps Bodhi ground workflows in how the enterprise actually works.
What kinds of AI capabilities does Bodhi include?
Bodhi includes a range of reusable AI capabilities that can be deployed alone or combined into workflows. The source materials name capabilities such as search, analytics, vision, curation, optimization, forecasting, anomaly detection, personalization and compliance. These capabilities are positioned as modular building blocks for business and industry use cases.
What kinds of workflows and use cases can Bodhi support?
Bodhi is positioned for bounded, high-value workflows across functions and industries. The source materials mention use cases including content operations, supply chain coordination, analytics access, compliance workflows, customer-facing personalization, software development acceleration, lending document processing, fraud detection, digital onboarding, claim processing, demand planning and forecasting. The common thread is that these workflows are complex enough to matter, but structured enough to govern.
How does Bodhi support regulated industries?
Bodhi is designed for regulated environments where speed must not compromise control, accountability or trust. The source materials describe support for bounded autonomy, role-based access, auditability, traceability, approval workflows and secure deployment inside enterprise boundaries. This makes Bodhi relevant for sectors such as financial services, healthcare and energy, where AI must fit formal control environments rather than bypass them.
What does “bounded autonomy” mean in Bodhi?
Bounded autonomy means AI agents can handle repetitive, time-sensitive and rules-based work inside clearly defined limits. Humans remain in control of approvals, exceptions and material decisions. In the source materials, this is presented as the right model for enterprise AI, especially in high-scrutiny workflows where unchecked autonomy would create risk.
How does Bodhi help with governance, transparency and control?
Bodhi is built with governance, observability, transparency and control as part of the operating model. The source materials say teams can monitor workflows, inspect outcomes, apply configurable guardrails, use role-based permissions and validate results before broader rollout. This is intended to help enterprises scale AI without losing visibility or discipline.
Does Bodhi support secure deployment inside the enterprise environment?
Yes, Bodhi is designed to run inside the organization’s own environment. The source materials state that workflows can operate within the enterprise ecosystem, integrate with existing tools, applications and data sources, and keep data within enterprise boundaries. Bodhi is also described as supporting private, on-premises, cloud and multi-cloud deployment models.
Does Bodhi integrate with existing enterprise systems and tools?
Yes, Bodhi is designed to integrate with existing tools, platforms, applications and governed data sources. The source materials repeatedly position this as a key part of enterprise readiness, because AI needs to operate inside existing workflows rather than beside them. That integration model is meant to help organizations modernize without starting over or forcing a rip-and-replace approach.
How quickly can teams build and launch workflows with Bodhi?
Bodhi is positioned to help teams move from design to deployment much faster than traditional custom-build cycles. The source materials describe building agents and workflows in minutes, deploying AI solutions from months to days in some cases, and reducing time-to-market through reusable components and low-code orchestration. The exact speed depends on the use case, but the stated value is faster launch without sacrificing governance.
What business outcomes is Bodhi designed to improve?
Bodhi is designed to simplify complex workflows, accelerate deployment, improve decision-making and strengthen governance. The source materials also describe benefits such as reducing manual effort, bridging data and system silos, improving speed and quality, enhancing traceability, supporting tighter risk controls and lowering waste through reusable components. In specific examples, this includes faster loan processing, faster review cycles and better operational coordination.
What should enterprise buyers know before choosing Bodhi?
Enterprise buyers should understand that Bodhi is designed for governed, cross-functional AI execution rather than isolated AI experimentation. The source materials emphasize the importance of enterprise context, reusable agents, secure in-environment deployment, human oversight and observability when moving from pilots to production. Bodhi is positioned as a platform for enterprises that want AI to fit real workflows, real systems and real control environments.