CEEZ 01
Blind template overwrites
Pushing static Jinja templates without inspecting live device state silently clobbers out-of-band emergency changes.
VERTICALLY INTEGRATED APPLICATION 03 · FLOW.CEEZ.AI
CEEZ Flow: The vertically integrated application for governed network change & automation.
CEEZ Flow ↗ is our turnkey domain application for multi-vendor network engineering—built on top of the Ceez Platform's horizontal orchestration and governance engines. Design network services on a visual canvas or in plain English, compute 5-state live-device dry runs, bind approvals to cryptographic plan hashes, and execute atomic NETCONF/YANG transactions with newest-first automatic undo.
CEEZ FLOW / VERTICAL APPLICATIONFLOW.CEEZ.AI
The 6-Step Governed Network Change Loop
No silent pushes, no stale approvals, and no half-applied multi-vendor network changes.
01 / LOCK & PINSSH / NETCONFPin host keys & acquire device lock
02 / DESIGNCANVAS OR NLVisual topology or 'Describe It' AI
03 / DRY RUN5-STATE DIFFAdd · Take over · Change · Remove · In place
04 / APPROVEPLAN-HASH GATEAuto-invalidates if live device moves
05 / APPLYATOMIC COMMITAll-or-nothing with newest-first undo
06 / ASSURESERVICE HEALTHContinuous drift & SLA verification
Clear architectural distinction: CEEZ Flow ↗ is this vertically integrated network change and service assurance application. Looking for the reusable horizontal workflow engine for general business systems? See Flow (Horizontal Platform Product) →.
VERTICALLY INTEGRATED APPLICATION · CEEZ FLOW (FLOW.CEEZ.AI)
LOCK → DESIGN → LIVE DRY RUN → PLAN-HASH APPROVAL → ATOMIC APPLY → ASSURE
WHY NETWORK AUTOMATION BREAKS
Scripts push blind text. CEEZ Flow governs the entire live-device lifecycle.
Traditional CLI templates and Ansible playbooks overwrite manual hotfixes, apply stale changes hours after approval, and leave multi-vendor topologies half-configured when a single router rejects a commit.
02
Stale CAB approvals
A change approved at 2 PM is dangerous at 10 PM if another engineer or routing event modified the target device in between.
03
Partial multi-device failure
When device 4 of 5 rejects a stanza, imperative scripts leave devices 1–3 in an inconsistent, service-breaking state.
04
Opaque AI copilot suggestions
Unvalidated LLM CLI snippets hallucinate vendor syntax and lack dry-run contracts, rollback paths, or epistemic honesty.
THE 6-STEP GOVERNED CHANGE LOOP
From intent to verified multi-vendor execution—with zero guesswork.
01 / CONNECTPin & LockPin SSH host keys, validate YANG/OpenConfig capabilities, and acquire exclusive NETCONF candidate/running locks
02 / DESIGNCanvas or WordsDraw L2/L3/VPN services on the visual topology canvas or describe desired intent in plain English
03 / DRY RUN5-State Live DiffCompute exact device diffs against live state: Add, Take over, Change, Remove, or In place
04 / AUTHORIZEPlan-Hash GateBind human approval to the cryptographic hash of the dry-run plan; auto-invalidate if any device changes
05 / APPLYAtomic + UndoCommit across all target devices transactionally; if any step fails, run newest-first automatic undo
06 / ASSUREService HealthContinuously reconcile intended service state against live telemetry, config drift, and SLA probes
AI-DRIVEN NETWORK AUTOMATION
Describe It · Ask It · Draft It—governed by three non-negotiable safety rules.
CEEZ Flow embeds domain-grounded AI across design, root-cause diagnostics, and BPMN workflow authoring—while guaranteeing that AI never mutates a live network device without a deterministic dry-run and human-authorized plan hash.
Three Non-Negotiable AI Safety Rules in CEEZ Flow:
1. AI proposes; it never applies silently: Every AI-generated topology change or remediation workflow must pass through a live-device dry run.
2. The dry-run is the contract: Approval binds to the exact cryptographic plan hash—never to an open-ended prompt.
3. Epistemic honesty: When telemetry, logs, or device state are missing, CEEZ Flow states explicitly what it cannot verify rather than guessing.
1. AI proposes; it never applies silently: Every AI-generated topology change or remediation workflow must pass through a live-device dry run.
2. The dry-run is the contract: Approval binds to the exact cryptographic plan hash—never to an open-ended prompt.
3. Epistemic honesty: When telemetry, logs, or device state are missing, CEEZ Flow states explicitly what it cannot verify rather than guessing.
01
Describe It — Natural-language service & change design
State intent in plain English (e.g., "Provision a dual-homed L3VPN between Frankfurt and Zurich with BFD and strict QoS for voice"); CEEZ Flow compiles vendor-neutral YANG models and places them on the topology canvas for inspection.
02
Ask It — Cross-signal root-cause analysis (Logs · Metrics · Traces)
Query live operational state across syslog, SNMP, gNMI, and recent change history to pinpoint whether an incident stems from a config commit, optical degradation, or peer flap.
03
Draft It — AI-authored BPMN 2.0 remediation & change workflows
Turn tribal MOPs and runbooks into visual BPMN 2.0 workflows complete with prechecks, dry-run gates, approval nodes, post-checks, and rollback branches.
04
Closed-loop integration with NetPulse ↗
When NetPulse's 32 NOC agents isolate a network fault, they hand the target service and proposed fix directly to CEEZ Flow for dry-run validation and governed execution.
OPEN STANDARDS & DAY-TO-DAY OPERATIONS
Multi-vendor interoperability and continuous compliance built in.
01 / OPEN STANDARDS
NETCONF, OpenConfig & YANG native
Speak native model-driven interfaces across Cisco, Juniper, Arista, Nokia, Ciena, and SONiC alongside governed CLI adapters for legacy estates.
02 / 5-STATE DRY RUN
Line-by-line ownership clarity
Classify every proposed configuration line as Add, Take over (adopt existing config into service ownership), Change, Remove, or In place.
03 / ATOMIC ROLLBACK
Newest-first transactional undo
Maintain a full dependency journal so any failed multi-device commit or post-change SLA regression rolls back cleanly in reverse dependency order.
04 / ZERO-RESTART LOG RULES
Live syslog & event rule authoring
Write, test against live sample lines, and activate new log extraction and alerting rules immediately with zero collector or service restarts.
05 / CONTINUOUS COMPLIANCE
NIST, CIS, PCI-DSS & golden-config drift
Audit every device continuously against regulatory benchmarks and golden policies; generate dry-run remediation plans for drifted nodes in one click.
06 / 9 DAY-TO-DAY WORKFLOWS
Complete lifecycle automation
Covers Day-0 onboarding, Day-1 service provisioning, L2/L3 VPNs, BGP traffic engineering, firewall/ACL updates, OS upgrades, drift repair, RMA replacement, and decommission.
Walk through a live multi-vendor network change in CEEZ Flow.
Bring a complex MOP, L3VPN provisioning workflow, or recurring drift challenge and see it dry-run and governed end to end.