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Autonomous agents Governed Managed
Outcomes-first agents that use your apps, escalate to humans, and leave an audit trail. Start with Discovery $99, then Consulting $499, Starter $2,500, or Growth $8,000/mo — not another chatbot demo.
Help-center bots answer questions. They do not update the CRM, open a ticket with context, or wait for a human when the action is irreversible.
A prototype without a named operator, allowed tools, and a kill switch becomes shadow IT. Zion will not leave an agent without an owner.
Unbounded model calls and tool retries show up as surprise invoices. Agent work needs a spend envelope — see cloud FinOps.
Production agents need retries, idempotency, human escalation, and a log of what the model was allowed to do. Demos skip that on purpose.
| Dimension | Typical chatbot | Autonomous agent (Zion) |
|---|---|---|
| Job | Answer from a knowledge base | Complete a named workflow with tools |
| Systems | Chat widget only | CRM, ITSM, email, Slack, WhatsApp, internal APIs |
| Guardrails | Prompt text | Allowed tools, approvals, data boundaries |
| Ownership | Vendor demo account | Named operator + written runbook |
| Cost | Seat or unbounded tokens | Scoped after Discovery; spend visible |
| SLA | Best effort | Written on Growth |
Lead routing, CRM hygiene, and follow-up drafts with a human send. No invented pipeline metrics — we map the one motion you already run.
Ticket triage, knowledge retrieval with citations, and escalation when confidence or policy says stop.
Exception queues, close checklists, and invoice routing — with approvals on anything that moves money.
Policy Q&A grounded in your documents, onboarding checklists, and “where do I click” loops that stay inside your stack.
MSPs do not have a chatbot problem. They have a queue problem: repetitive intake, missing fields, and after-hours noise that still needs a human on anything irreversible. Ticket load drops when intake is classified, enriched, and routed — not when an unsupervised agent closes work. Longer write-up: AI automation for MSPs. The operating layer those tickets sit on is managed IT.
Intake, classify and route, draft (don’t send), and after-hours capture. If you cannot point to a queue, a system of record, and a person who owns exceptions, you have a chatbot — keep it that way until the workflow is written.
Password, device, and access requests: gather identity, complete the form, stop before changing production access. Alert noise: group duplicates, attach the payload, leave priority to a tech when the pattern is new. We will not invent a percentage of tickets “deflected.”
Per-tenant tools, no shared prompt memory across customers, least privilege (read and draft by default), a step log, and a kill switch that does not take down the PSA or RMM. Isolation is a design rule, not a slogan.
Usage (model calls) and the managed layer (design, tenant-safe integration, exception queue) are two bills. Map one agent in Discovery $99 before you buy a platform. We do not quote a fake “tickets reduced” figure.
| Step | Price | What you get |
|---|---|---|
| Discovery | $99 | One process mapped, ROI sketch, executive report, 30-min readout |
| Consulting | $499 | Roadmap, ROI order, build / wait / do-not-build |
| Starter | $2,500 | First production agent for that process |
| Growth | $8,000/mo | Managed agents, change control, written SLA |
Discovery $99 Consulting $499 Starter $2,500 Growth $8,000/mo Response within 24h
A chatbot answers. An agent is allowed to use a short list of tools to finish a workflow — then stop or escalate. If the job is only FAQ, you do not need an agent. We will say so in Discovery.
On Growth we operate the agents in your environment (or a Zion-managed loop you approve): monitoring, change control, and a written SLA. Hosting is part of the retainer conversation — not a surprise SKU.
We set a spend envelope, log model and tool calls, and treat retries as a cost event. For cloud and model invoices, pair this page with cloud FinOps.
One process, an ROI sketch (order of magnitude — not a guarantee), an executive report, and a 30-minute session. Details live on /discovery/.
We respond within 24 hours to Discovery and consulting requests sent via /contact/ or kleber@ziontechgroup.com.
No. Start with one process. If Discovery shows the process is a bad first agent, we will recommend consulting, a smaller automation, or waiting.
We map one queue first: classify, enrich, draft, and route — with tenant isolation and a human gate on production access. Closing customer-facing tickets without a stop rule is how you create incidents. See AI automation for MSPs.
See also: Discovery $99 · /agents/ (capability hub, not a duplicate) · AI services hub · AI consulting services · FinOps consulting · Managed IT · Fintech IT / AI · Healthcare IT / HIPAA · AI automation for MSPs · Autonomous agents blog · Plans · Pricing