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Deployment, versioning, testing, rollback, performance tuning and an agent marketplace / catalog.
Deployment, versioning, testing, rollback, performance tuning and an agent marketplace / catalog.
Each pillar can be enabled, configured and audited independently.
Git-style for agents, prompts, policies.
Regression and red-team suites.
Canary, percent, blue/green.
One-click with full audit.
Verified internal + public.
Tuning and drift detection.
Agents follow the same lifecycle discipline as any production software — design, test, deploy, monitor, roll back.
Authors define the agent in a versioned spec: role, tools, memory scope, policies, evaluation suite.
Every agent runs against a regression suite of golden tasks before promotion. Behavioural drift is caught early.
Canary or staged rollout across environments — dev → staging → prod — with one-click rollback to any prior version.
Production telemetry feeds back into the eval suite. Anomalies trigger alerts or auto-rollback.
Deprecated agents are sunset with a documented successor, preserving audit history.
Real numbers from production deployments — across banking, healthcare, telco, manufacturing and the public sector.
Treat agents like the production software they are. Every change is tested, versioned, and reversible — no more 'don't touch the prompt' fear.
Familiar primitives — environments, releases, rollback, change tickets — so platform and SRE teams adopt agent ops without learning a new world.
Six concrete patterns from regulated enterprises across financial services, healthcare, telecom, public sector, energy and manufacturing.
Every agent version is reviewed by Model Risk before promotion, with full reproducibility for audit.
Two agent versions handle a slice of FNOL traffic; the winner is promoted, the loser retired.
Clinical agents pass a regulator-aligned eval suite before any patient-facing rollout.
Customer-care agents retrain weekly off labelled production traces, with regression guards.
Agent changes go through formal release management with parliamentary-grade audit.
An agent improvement is canaried at one plant before global promotion.
Most early agent deployments are pet projects. Production deployments need release discipline.
Yes — by percentage of traffic, by tenant, by user cohort.
One click — with full audit and replay against history.
Most customers adopt new capabilities in 2-4 weeks through starter packs and onboarding workshops.
No. The capability runs on your existing xyner deployment — cloud, hybrid, on-prem or sovereign.
Yes — our customer success team and partners deliver guided migrations and pilots.
See xyner in your environment with a guided executive demo.