Your operations,running themselves.
Production AI agents on your stack—recover 20+ hours a week from repetitive lanes while your team keeps oversight where it matters.
The problem
Manual work doesn't scale.
Emails pile up. CRM updates lag. Reports eat half your week. Your team becomes the integration layer between tools that should talk to each other.
The shift
Connect your stack. Agents start working.
Zenaiyo deploys observable AI agents on the tools you already use—triage, routing, follow-ups, and reporting with guardrails you can audit.
Execution trace
- TriggerNew P1 ticket in Zendesk
- ContextEnterprise tier · 2 prior escalations · open deal in HubSpot
- Policy checkRefund limit exceeded → route to manager queue
- Tool callTag ticket · update HubSpot deal stage · post to #support-escalations
- Human handoffManager notified in Slack with full thread context
- Logged outcomeTicket triaged in 12s · escalation logged · CRM synced
The outcome
Outcomes we design for—not slide decks.
What this looks like in practice
- Support ticket triage, tagging, and routing
- CRM field updates and follow-up sequences
- Scheduled reporting and operational digests
Typical lanes
Agents take ownership of repetitive lanes across support, CRM, and reporting—your team sets policies and handles exceptions.
Always-on operations
The workday ends. The workflow doesn't.
Repetitive lanes keep moving after hours. Safe work executes automatically; exceptions stay contained for review instead of blocking the entire operation.
Throughput continues without losing oversight.
One governed execution
One ticket. Every decision traceable.
Context assembles, policy checks the route, connected tools update in parallel, and the outcome is logged—before the next case arrives.
Trigger → context → policy → action → logged outcome
The method
Audit. Build. Optimize.
Every engagement follows the same governed path—from mapped workflows to logged, production agents you can inspect.
- 01
Audit your workflows
We map where time is lost, where tools disconnect, and where policy boundaries matter—before writing a single prompt.
- 02
Deploy governed agents
Pilot agents with audit logs, escalation rules, and human handoffs on the CRM, support, and comms tools you already use.
- 03
Optimize against real traffic
We tune prompts and workflows until metrics move—cycle time, deflection, hours reclaimed—then expand what the numbers justify.
Questions
Frequently asked questions
Automation for teams of every size—AI agents, workflow automation, and how Zenaiyo works with your stack.
How much time can AI automation save?
Most teams recover 10–40 hours per week once AI agents own repetitive lanes—email triage, CRM hygiene, reporting, and first-line support. The exact range depends on volume, tools, and how many workflows we connect in phase one.
Is AI automation expensive?
Compared to hiring or outsourcing the same throughput, most teams see ROI within 30–60 days. We scope one high-impact workflow first, then expand when the numbers prove out.
Can AI replace employees?
AI agents replace repetitive execution—not judgment, relationships, or strategy. Your team keeps oversight, approvals, and client-facing work; the stack handles swivel-chair tasks and follow-ups.
Do you support data privacy and compliance?
Yes. We can deploy models and data paths so you meet privacy and compliance requirements (e.g. GDPR, HIPAA). The code, prompts, and data infrastructure stay yours.
Who owns the AI agents and IP?
You own everything—the code, the prompts, and the data infrastructure. We build and maintain the engine under engagement; the IP and assets are yours.
Explore the platform
Dive deeper into how Zenaiyo works, what we automate, and how teams get started.