
Smartflow Maestro
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POLICY CONSOLE
ACTIVE
SCOPES
GLOBAL
TEAM
POLICY SET
DATA HANDLING
ENFORCE
MODEL ACCESS
ENFORCE
CONTROL SIGNAL
AI sprawl grows fast. Coordination usually doesn’t
Define policy-as-code for data handling, egress, model access, jurisdictions
Apply controls globally or scoped per team, app, or workflow
Set business objectives like cost ceilings, latency targets, or quality thresholds
Continuously tune guardrails and routing as usage patterns shift
TEAM SCOPE
POLICY
APPLICATION SCOPE
ROUTING
EVALUATION FLOW
TRAFFIC SAMPLE
INGEST
EVALUATION
COMPARE
EVIDENCE RECORD
Evaluation harnesses plug into your workflows
Traffic mirroring compares models side-by-side
A/B and canary routing measure quality before full rollout
Outcome analytics show what’s working, what’s wasting, and what’s drifting
Cost per prompt, per token, per team
Quality scores and pass/fail criteria
Compliance posture and policy adherence
Drift, anomaly, and spend alerts
Historical trends for CFO, CISO, and CIO reporting
ROUTING SIGNALS
COST SIGNAL
LATENCY SIGNAL
ROUTING DECISION
SELECT
DEPLOYMENT TOPOLOGY
ON-PREMISES ENVIRONMENT
LOCAL EVIDENCE
SSO for access controls
SIEM for security events
ITSM platforms for approval workflows and incident tickets
FinOps systems for automated showback/chargeback
Maestro + Smartflow: Control, Optimize, Enforce
1
Console and dashboards
2
Data rules, egress, model accessJurisdiction constraintsScoping: global, team, workflowVersioning, rollback, audit logs
3
Evals and test harnessesTraffic mirroring and shadow testsA/B and canary routingOutcome and quality analytics
4
SSO / IAMSIEM / ITSM / FinOpsWebhooks, approvals, tickets
5
Inline inspection and policy checksCost/latency routingCaching, deduplication, safety filtersLogging and telemetry
6
On-premises, private cloud, and self-hosted models
Without a console like Maestro, orgs rely on scattered docs, inconsistent routing, ad-hoc spending controls, and slow, manual updates. Maestro brings order and evidence to everything that happens above the GPU.
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