Managed AI Layer
Expeli does not disappear after a pilot. We monitor the digital workers, maintain the automations, connect the supporting systems, report what changed, and keep improving the AI operations layer every week.
Monthly operating view
Workers active
6 roles
Escalations reviewed
Human routed
Automations monitored
Live checks
Next improvements
Prioritized
Every week, you see what the AI layer did, found, escalated, and should improve next.
Operating Loop
The subscription is not passive maintenance. It is the ongoing rhythm that keeps digital workers useful, safe, and aligned with the business.
01
Worker activity, escalations, bottlenecks, handoffs, missed opportunities, and tool failures are watched continuously.
02
Each week, Expeli summarizes what happened, what improved, what needs review, and what should change next.
03
Workers, prompts, automations, permissions, dashboards, and workflows are refined against real operating evidence.
04
New workers, integrations, dashboards, and custom software are added only when the business case is clear.
Monthly Scope
The exact scope depends on the audit and pilot, but the managed layer usually combines worker oversight, automation maintenance, reporting, and steady expansion.
Role definitions, task boundaries, knowledge updates, escalation rules, and output quality reviews.
Automation health, failed runs, edge cases, handoff quality, and workflow changes as the business evolves.
CRM, inbox, WhatsApp, forms, dashboards, spreadsheets, databases, and API connections scoped to the workflow.
Leadership-ready summaries of worker activity, bottlenecks, missed opportunities, escalations, and recommended next actions.
Permission scoping, approval points, restricted actions, human review paths, and sensitive-data handling notes.
A practical improvement backlog ranked by operational drag, revenue leakage, risk, and implementation effort.
Commercial Leverage
The value is not only the first launch. It is having one accountable partner keeping AI workers, automations, reports, and integrations aligned as the business changes.
AI workers need maintenance as offers, policies, teams, channels, and customer expectations change.
Automations break or weaken when tools, fields, permissions, data, or team habits change.
New AI capabilities create practical opportunities every month, but they need prioritization and safe rollout.
Weekly reporting keeps the business aware of what improved, what escalated, and what should happen next.
The business avoids scattered vendors, orphaned automations, and disconnected AI experiments.
When software gets added
A workflow needs a dashboard or internal portal instead of another spreadsheet.
A digital worker needs structured data, forms, or approval screens to operate safely.
Multiple tools need a reliable integration layer or custom business logic.
The weekly report needs live metrics, history, or management views.
Supporting Infrastructure
Expeli builds custom infrastructure when it makes the digital workers safer, clearer, more measurable, or more useful. The goal is better operations, not more disconnected tools.
See Capability ModelStart with the audit
We first map the workflows, risks, tools, permissions, and first pilot. Then the monthly layer keeps the system useful after launch.
Start an Audit