Getting started
Introduction to Dezifi
Dezifi turns AI demos into governed, observable, reliable execution. Build agents, orchestrate them in multi-step workflows, and connect them to 130+ enterprise systems — all behind a single control plane.
What you'll learn
- What an AI agent is and how Dezifi structures one
- How agents, workflows, tools, and guardrails fit together
- Which teams Dezifi is built for
- How to ship your first production agent
What Dezifi gives you
Six capabilities ship together as one platform, so you don't glue together a stack from scratch.
- 1
Agent Orchestration
Design structured workflows with tools, conditions, approvals and multi-step execution on a visual canvas. - 2
Governance & Policies
Define what agents can access, what they can do, and when a human must approve — at workspace, agent, or workflow scope. - 3
Runtime Guardrails
Inspect every prompt, tool call and response. Block jailbreaks, PII leaks, and policy violations in real time. - 4
Observability
Every run is fully traced. See LLM calls, tool spans, latency, cost, errors, and reviewer decisions for every execution. - 5
Evaluation
Compare agent versions, score against golden datasets, run A/B tests, and detect quality drift before it hits production. - 6
130+ Integrations
Connect agents to CRMs, support systems, databases, observability tools, source control and chat. Bring your own via MCP, REST or SQL.
Who Dezifi is for
Enterprises that need to move past AI proofs of concept. Common teams: operations automating handoffs across systems, engineering running PR review and on-call triage, support classifying tickets and drafting responses, sales ops updating Salesforce and qualifying leads.
How the platform fits together
An agent is your unit of intelligence — one LLM, one set of tools, one policy. A workflow orchestrates multiple agents with branching, loops, and human approvals. Both consume tools (integrations), retrieve from knowledge bases (RAG), are constrained by policies and guardrails, and emit traces to Monitor, Eval, and Analytics.
Frequently asked questions
- Do I need to be technical to use Dezifi?
- No. The visual agent builder and workflow designer let business and ops users assemble agents without code. Developers can extend via the SDK and add custom tools through MCP, REST or SQL.
- Can Dezifi run on-premise or in our cloud?
- Yes. Dezifi supports SaaS, private cloud, and on-premise deployment models for enterprise customers that require data residency or air-gapped operation.
- Which LLMs does Dezifi support?
- OpenAI, Anthropic, Google, AWS Bedrock, Azure OpenAI, and locally hosted models. You can configure multiple providers per workspace and set a default model per agent.