CEEZ 01
Role-Scoped Tool Isolation
Prevent prompt-injection escalation by binding each agent role strictly to the MCP tools required for its step.
HORIZONTAL PLATFORM PRODUCT / 04 · MULTI-AGENT WORKFORCE
Crew: Specialized multi-agent AI workforce built around objectives.
Ceez Crew is the horizontal multi-agent workforce layer of the Ceez platform. It organizes role-specialized AI agents (Triage, Context Enricher, Diagnostic Analyst, Action Planner, Verifier) into coordinated teams that execute multi-step work using scoped Ground MCP tools under explicit Ceez Govern authority.
CEEZ PLATFORM / CREWCEEZ.AI
Coordinated Multi-Agent Execution Loop
Replaces fragile monolithic prompts with role-scoped agent teams and deterministic handoff contracts.
01 / TRIAGECLASSIFY SIGNALDeduplicate & assign severity
02 / ENRICHQUERY GROUNDPull entities, history & SLAs
03 / DIAGNOSECORRELATEIsolate root cause & blast radius
04 / PLANDRAFT ACTIONStage dry-run validated plan
05 / GOVERNCHECK POLICYAutonomous or 1-click human gate
06 / VERIFYCONFIRM STATECheck KPI recovery & log receipt
Engineered in FDE Workbench: Forward-Deployed Engineers assemble custom Crew teams for any enterprise use case, while pre-built Crew squads also power our Vertically Integrated Applications.
HORIZONTAL PLATFORM PRODUCT · CREW
GROUND · COMPASS · INSIGHT · CREW · FLOW · INGEST · GOVERN · PROVE · FDE WORKBENCH
THE ROLE OF CREW IN THE PLATFORM
Move from isolated chat assistants to coordinated digital teams.
Single-prompt agents fail in production because enterprise workflows require distinct skills, different model tiers, strict tool separation, and independent verification. Crew structures AI work the way high-performing operations teams work: specialized roles collaborating around a shared objective.
A diagnostic agent may hold read-only MCP access to Ground entities, while only an execution planner agent—gated by Ceez Govern—can stage a write transaction in Flow.
01
Architect role-specialized AI workers with least-privilege tools
Assign each agent an explicit charter, allowed MCP toolset, Compass model tier, and structured output schema.
02
Coordinate multi-agent handoffs with shared working memory
Pass structured investigation state, entity references, and confidence scores cleanly across Triage, Enrichment, Action, and Verification agents.
03
Prepare complete decision packages for human-in-the-loop review
When a task crosses into Supervised (Tier 2) authority, Crew presents the human operator with root-cause evidence, blast radius, and a ready-to-approve plan.
04
Enforce independent post-action verification
Dedicated verifier agents re-query live state and Insight metrics after execution to confirm the objective was achieved—or trigger rollback.
TECHNICAL CAPABILITIES
Engineered for production reliability, scale, and auditability.
Every capability in Crew operates within your existing enterprise identity, data residency, and governance boundaries.
02
Episodic & Institutional Memory
Recall prior exceptions, resolved cases, and operator feedback across similar entities in Ceez Ground.
03
Deterministic + Agentic Hybrid Steps
Interleave LLM reasoning with deterministic validation checks so agents never hallucinate state transitions.
04
Multi-Provider Model Assignment
Run high-volume triage agents on fast Economy models via Compass while routing complex RCA agents to frontier Reasoning models.
05
Reusable Skill Library
Share validated agent roles and tool bindings across Finance, Revenue, Customer Ops, Supply Chain, IT, and SecOps use cases.
06
Full Traceability in FDE Workbench
Inspect every inter-agent message, tool call, latency span, and token cost in real time.
HOW CREW POWERS USE CASES
Crew is a composable horizontal building block.
Crew agents read enterprise context from Ground, route model calls through Compass, trigger workflows in Flow, obey boundaries in Govern, and log every step in Prove. In FDE Workbench, teams combine Crew with Ground, Compass, Insight, Flow, Ingest, Govern, Prove and FDE Workbench to deliver repeatable enterprise use cases without building custom infrastructure glue.
Composable architecture principle: Start with the minimum platform products required to prove your first operational objective, keeping system ownership, model choice, execution authority, and cryptographic evidence explicit at every step.
Evaluate Crew against a live operational objective.
Map how Crew connects to your existing systems, data models, and governance controls in a focused 30-day pilot.