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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. When the workflow is already named, pay or Consulte on /plans/.
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 FinOps consulting.
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.
Autonomy without controls is shadow IT. The five points below are the production minimum — write them before the first unattended tool call. CIO/CISO questions — data, actions, spend, audit, and ownership — are expanded in Enterprise AI agent governance & risk. No fake compliance badges on this page.
Do not start with a platform rollout. Map one workflow in Discovery $99: the system of record, the allowed tools, the human gate, and whether an agent is even in scope. If Discovery says wait or do-not-build, that is the deliverable — not a failed sale.
One process, data/action/spend boundary, ROI sketch (order of magnitude — not a guarantee), and a 30-minute readout. Offer details stay on /discovery/.
Multi-tenant, regulated, or unclear enterprise scope — use Consulte before Starter. Growth and SLA are scoped after the first agent is governed.
A demo that can call tools is not a production agent. Governance is the written answer to five CIO/CISO questions: what data the agent may see, which actions it may take, what it may spend, what the audit trail contains, and who owns the kill switch. Human-in-the-loop (HITL) is the default on irreversible or high-cost steps — not an optional extra after go-live. Longer write-up: enterprise AI agent risk checklist.
Name the systems, fields, and tenants the agent may read. Retrieval stays inside that boundary. Consumer plugins and unsanctioned paste-into-chat are out of scope until a control owner says otherwise.
The allowed-tool list is the product. Draft and classify by default; writes, refunds, access changes, and anything irreversible wait for a person. The agent cannot invent a new integration at runtime.
Model calls, retries, and tool loops need an envelope and a named owner. Unbounded tokens are a FinOps incident, not an AI feature. Pair this page with FinOps consulting when the bill is the constraint.
Every tool call, input, output, and stop reason is written down. A named human can pause the agent and change the tool list without taking the rest of the stack down. If you cannot name that person, you do not have an agent — you have shadow IT.
We use process language you can show to a control owner: least privilege, HITL, step logs, and a kill switch. That is not a SOC 2, HIPAA, or ISO badge on this page. Payments and banking-adjacent stacks start on industry solutions. Clinical or PHI work starts on healthcare IT. Your counsel and auditor decide what is “enough.”
Map data, actions, spend, and ownership before you fund the build.
Map your first agent — Discovery $99 ContactMSPs 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: enterprise AI agent risk checklist. 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.
Helpdesk automation is triage, enrich, and route — not an unsupervised closer. The agent reads the ticket, completes missing fields, attaches context, and stops or escalates when policy or confidence says so. A human remains the gate on access changes, production remediations, and anything irreversible. Longer write-up: RPA vs autonomous AI agents.
Classify request vs incident, severity, and queue. Password, device, and access intake: gather identity, complete the form, stop before changing production access. We will not invent a percentage of tickets “deflected.”
Pull the user, asset, and recent changes from the system of record you already run. Attach the monitor payload or the knowledge citation. If the SOP is missing or conflicts, escalate — do not invent a fix.
Send the ticket to the right queue and draft an internal note or reply a technician can check. After-hours capture gathers context and pages a human when the severity rule says so. Closing customer-facing work without a stop rule is how you create incidents.
Internal IT support uses the same gates: allowed tools, HITL, audit log, kill switch. Multi-tenant MSP queues add isolation — no shared prompt memory across customers. The operating layer those tickets sit on is managed IT. MSP-specific patterns stay in the section above and in enterprise AI agent risk checklist.
Discovery maps the first workflow. When that workflow is named, install, configure, and maintain sit on the public ladder — Discovery $99, Consulting $499, Starter $2,500, Growth $8,000/mo. Checkout lives on /plans/. There is no separate Governance or packaged-install SKU on this page.
Map one process: tools, HITL, runbook, kill switch. Start here when the workflow is still unnamed.
ROI order, allowlist, envelope, audit log. First production agent for that process — five-point checklist live.
Change control, spend envelope, written SLA. More agents after the first one is governed. Consulte when scope is multi-tenant or regulated.
| Step | Price | What you get |
|---|---|---|
| Discovery | $99 | One process mapped, ROI sketch, data/action/spend boundary, 30-min readout |
| Consulting | $499 | Roadmap, ROI order, HITL gates, build / wait / do-not-build |
| Starter | $2,500 | First production agent for that process — five-point checklist live |
| Growth | $8,000/mo | Managed agents, change control, spend envelope, 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 FinOps consulting.
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 enterprise AI agent risk checklist and AI helpdesk / IT support automation.
A written answer to data, actions, spend, audit, and ownership — plus HITL on irreversible steps and a kill switch. The five-point checklist above is the production minimum. The CIO/CISO expansion is Enterprise AI agent governance & risk. Longer write-up: enterprise AI agent risk checklist.
No. This page does not claim SOC 2, HIPAA, ISO, or any other certification. We use process language: least privilege, HITL, step logs, kill switch. Regulated stacks start on industry solutions or healthcare IT. Your counsel and auditor decide what is enough.
Yes — as triage, enrich, and route with a human gate, not as an unsupervised closer. Map one queue in Discovery $99. Detail: AI helpdesk / IT support automation and RPA vs autonomous AI agents.
Governance and helpdesk deepen this same page — there is no /ai-agent-governance/ or /ai-helpdesk/ SKU. Install, configure, and maintain follow the official ladder on /plans/ — Discovery $99, Consulting $499, Starter $2,500, Growth $8,000/mo. Blogs remain the longer write-ups. Discovery → Consulting → Starter → Growth stays the path when the first process is unmapped.
Spend envelopes and model/tool retries belong on FinOps consulting. The operating layer under the ticket queue is managed IT. Agents do not replace either.
See also: Discovery $99 · Plans · AI consulting services · FinOps consulting · Managed IT · Solutions · Healthcare · Enterprise governance · Helpdesk automation · Install, configure, maintain · Enterprise AI agent risk checklist · RPA vs autonomous AI agents · Controls before autonomy · First workflow