Xenith Agents
Scoped multi-step workflows with human gates on irreversible steps.
If your team runs the same multi-step process every week, an agent can own most of it. Xenith Agents are scoped autonomous workflows: we design the logic, build the integrations, test in staging, and hand over a working system with gates on irreversible steps.
Deployed as a scoped engagement for your stack - not a self-serve trial or live sandbox.
How it works
- Multi-step reasoning that covers edge cases and exception paths
- Tool use across your stack: CRM, databases, APIs, email, calendar
- Human-in-the-loop controls that escalate when the agent confidence is low
- Visual workflow builder for your team to modify steps post-handover
- Full monitoring: every agent run logged, auditable, alertable
Who this is for
What's included
Typical engagement deliverables
Scoped to your stack and compliance needs. We deploy the working system into your environment and hand over runbooks - not a sandbox login.
First workflow fully automated and running in production
Monitoring dashboard showing every agent run and outcome
Human escalation path configured and tested
Your team trained to trigger, pause, and restart workflows
30-day post-launch support included
Questions buyers ask
Frequently asked questions
- What stops an agent from taking an action it should not?
- Tools are exposed through MCP servers with strict JSON schemas, so the agent can only call what the allowlist defines. Irreversible steps (payments, record updates, sends) route to an approval inbox until shadow-mode agreement data justifies auto-approval for a specific exception type.
- Which orchestration stack do you use?
- Temporal for durable, idempotent execution; LangGraph or the Vercel AI SDK for the reasoning loop. The banking and exchange AI ops case studies describe the combination in production.
- How long until the first workflow runs in production?
- Six to fourteen weeks for one workflow, including a two- to four-week shadow phase. The payment-exception deployment moved handling time from 45–90 minutes to 12–25 minutes with operators approving every release.
- Can it run without sending data to a model vendor?
- Yes. Pair it with Xenith Private AI to run Llama 3 or Qwen class models inside your VPC. The gateway interface is the same, so the agent code does not change.
When this is the wrong fit
- Consumer chatbots or content generators with no system of record to gate.
- Teams that want full autonomy in week one and will not run a shadow phase.