The problem: your IT already lives in silos. AI is making it worse.
For the last twenty years, every new business need has meant a new piece of software. Layer after layer, enterprises built their information systems by accumulation: dozens of disconnected tools, each with its own data, its own logs, its own access model. The result is a landscape that nobody can fully govern, secure, or reason about end to end. Generative AI is now repeating that same mistake, faster. Teams spin up assistants and copilots everywhere, on different stacks, with no shared traceability, no unified access control, and no way to measure what any of it actually delivers. You don’t get an AI strategy. You get another generation of silos, this time probabilistic and even harder to audit.The shift: the AI Information System of tomorrow
Prisme.ai is the unified foundation where your agents, your full-stack applications, and your data live together, instead of scattering a new silo for every use case. Think of it as the Information System for AI: a clean, purpose-built architecture where technical and business teams collaborate on the same platform to deliver value, in a way that is secure, traceable, and scalable by default. Business teams, developers, and IT govern the same system, with the same controls, from a first chat experiment all the way to production applications serving millions of users. Because it’s one foundation, you pool what used to be duplicated in every silo: infrastructure, security, compliance, and data protection are solved once, for everything built on top.
What that changes, concretely
Three principles set Prisme.ai apart from a collection of AI tools bolted onto your existing stack.Full-stack & agentic
Build the whole thing in one place: a React front-end and a back-end made of agentic workflows: processes that can call AI agents, adding flexibility where rigid automation falls short.
Governed by design
Governance isn’t a module you add later; it’s the foundation. Multi-tenant by default, every agent runs with its own service account, and you control quotas, models, and tools at the organization level.
Traceable natively
An event-driven architecture where every action is a normalized event (type, correlation ID, timestamp). That means built-in observability, security monitoring, and measurable ROI, not an afterthought.
One stack, any experience
Build a web app, a chatbot, an agent inside Teams, or a workflow, all on the same platform, connected by default. One stack replaces the patchwork of tools that never talk to each other, so the experience stays coherent.
Scale with confidence
Go from a first experiment to millions of users on the same foundation. Multi-tenant, asynchronous, and event-driven by design, so adoption grows without the architecture breaking. See scaling.
Provable ROI
Measure value, not just usage. Because every interaction is traced, you can show adoption, quality, and cost per organization, and turn AI spend into a business case.
Full-stack, agentic development
On Prisme.ai you build complete applications: a front-end interface in React, and a back-end composed of agentic workflows. A traditional workflow is rigid and perfectly reproducible; an agentic workflow can call an agent, introducing a probabilistic, adaptive dimension exactly where your business logic needs judgment rather than a fixed rule. Both live on the same platform, so an agent can be embedded inside a web flow, and a web flow can hand off to an agent.Governed by design
Because everything runs on one foundation, governance is native rather than bolted on. And it works on two levels at once: a central governance sets the rules for the whole platform, while each organization inherits from it and adapts within those guardrails. That balance is the point: teams get the freedom and agility to move fast, while the enterprise keeps compliance guaranteed end to end. The platform handles the cross-cutting concerns once, for everyone:- Multi-tenancy cleanly separates organizations, teams, and environments, each inheriting central policy.
- SSO and centralized permissions: one identity model, one place to grant and revoke access.
- Audit logs: every action is recorded and traceable for security and compliance reviews.
- Chargeback / rebilling: usage is attributed per organization, so costs are transparent and allocatable.
- Every agent has a service account with its own roles: restrict which LLMs it may use or which tools it may call, from the organization level down.
Traceable natively
Prisme.ai is event-driven: processing is asynchronous, scalable, and every operation emits a normalized event: consistent types, correlation IDs, and timestamps. Those events are historized and aggregated, which is what makes observability, analytics, security monitoring, and debugging (follow a single correlation ID across every API call and tool execution) possible out of the box.Two ways in: the products adapt to your skills
You don’t have to choose a persona and get boxed in. The products meet each person at their level of technical skill, from pure no-code to full-code, and share the same foundation, so business and technical teams work on one system, not two. Most organizations use both entry points at once.For business teams, the no-code way
Discover and use agents through the Store and the Chat interface. Create knowledge-powered agents, connect documents, and publish to your teams, no code required.Start with Chat →
For technical teams, the full-code way
Use Builder and VS Code to develop agents and applications as code, version them with Git, review through merge requests, and inspect logs. Infrastructure-as-Code for AI: think Terraform, but for agents.Explore Builder →
Working as code gives you what serious engineering demands: reproducibility and consistency. An agent’s behavior is defined in a versioned config file (
index.yml), pushed to a sandbox for fast iteration or promoted through Git for structured, auditable deployments.Built to live everywhere
A foundation is only useful if it reaches your users where they already are. Prisme.ai is API-first, and every capability is exposed through MCP (Model Context Protocol), so your agents and applications can be embedded in your websites, portals, and existing tools, or consumed from other systems entirely. Ready-made connectors push the same agents out to the channels your teams already use: Microsoft Teams, Google Workspace, WhatsApp, Facebook, without rebuilding them. The platform doesn’t lock value inside its own UI; it lets that value flow wherever your business needs it. And because the foundation owns the plumbing, it gives you resilience where it matters most:LLM resilience
Natively multi-model. Swap or route between providers per use case; you’re never hostage to a single LLM’s price, availability, or roadmap.
Cloud resilience
Cloud-agnostic by design. Run on any major cloud or on-premises, with no vendor lock-in baked into your AI strategy.
The promise
Prisme.ai exists to remove the frustration of digital complexity, so your teams spend their energy solving business problems, not managing the technical stack. The plumbing (scalability, security, traceability, governance) is handled by the foundation; the value is what you build on top of it.Next steps
Platform Overview
How the architecture, lifecycle, and governance fit together
Products
The building blocks of the foundation
First Steps
Log in and build your first agent