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Chain-of-thought reasoning, decision trees, dependency graphs, and dynamic replanning — the engine behind reliable autonomous execution.
Six engine primitives combine to turn open goals into deterministic, explainable execution.
Convert open-ended goals into a typed task graph with inputs and dependencies.
Step-by-step reasoning with self-critique and verifier loops.
Branching logic with explicit guard conditions and confidence thresholds.
Detect failures, swap tools, retry intelligently, escalate gracefully.
Independent checkers validate plans and results before commit.
Optimize plans against latency, token cost and accuracy budgets.
Real enterprise workflows fail in messy ways: APIs time out, data is missing, approvers are out, policies change. The xyner reasoning engine handles all of it — fallback systems, retries, escalation to humans — without losing the trace of what was done and why.
Independent verifier agents check work before it commits — catching hallucinations, policy violations and arithmetic errors before they reach your systems.
Where each approach lands when used in production enterprise workflows.
Chatbots respond. Agents act. xyner' agents take real actions in your systems — post journal entries, create tickets, route approvals, run SQL — under policy and with full audit.
Yes. xyner offers multi-tenant cloud, dedicated VPC, hybrid, full on-prem Kubernetes packaging, sovereign cloud, and air-gapped installations — including UAE and Oman residency.
4-6 weeks to first production workflow using a starter pack (Finance, HR, ITSM, Procurement, Support). Custom agents typically 6-12 weeks depending on integrations.
Guardrails are enforced outside the model — policy-as-code, tool allowlists per agent, output validation, redaction, and approval gates. We also run adversarial red-teaming against every release.
See xyner in your environment with a guided executive demo.