Agentic back-office operations
Email, calendar, invoicing, cash visibility, records, project routing, approvals, and status reporting as governed workflows.
CG&AI stabilizes and runs work spread across tools, teams, and providers. Queues, sources, approvals, exceptions, and unresolved risks remain visible while humans retain authority over consequential actions.
Operating work is where promising systems become dependable—or quietly fail. CG&AI can run the workflow, coordinate specialist roles, maintain controls, and report against the outcome while the client retains visibility and authority.
Managed does not mean opaque. Sources, decisions, exceptions, approvals, and unresolved risks remain visible. The operating model is designed for continuity and, when appropriate, a controlled transfer to the client team.
A critical workflow has no reliable owner across tools, teams, and outside providers.
Senior judgment exists, but the organization lacks execution capacity or operating rhythm.
Automation is producing activity without enough control, visibility, or accountability.
A newly built system needs disciplined live operations before it can be transferred.
Email, calendar, invoicing, cash visibility, records, project routing, approvals, and status reporting as governed workflows.
Clear routing, permissions, review gates, escalation logic, and separation between proposed and consequential actions.
Testing, deployment, monitoring, incident response, content releases, and operating continuity.
Outcome tracking, exception analysis, capacity review, control evidence, and prioritized iteration.
A critical workflow crosses tools, teams, or providers without one dependable owner, cadence, or exception path.
Named operating ownership, visible queues and approvals, control evidence, and an action-oriented operating report.
Begin with the queue, handoffs, current service level, authority boundaries, failure modes, and accountable people.
Define the service level, control requirements, current failure modes, and accountable parties.
Create the cadence, queues, review gates, escalation paths, and reporting needed for dependable work.
Operate the workflow with visible ownership, documented exceptions, and human authorization where required.
Strengthen the system over time or hand it over with evidence, documentation, and trained owners.
AI-assisted operations are safest when authority, evidence, exceptions, and reversibility are designed into the workflow before any tool is given production responsibility.
Classify each action as draft, recommendation, internal update, external message, filing, payment, release, or obligation change. Consequential actions require explicit human approval.
Keep the source, version, owner, assumption, and decision state visible so reviewers can tell why a proposed action exists and what remains unresolved.
Route low-confidence, mismatched, overdue, sensitive, or policy-bound work to a named owner instead of letting the system smooth it into normal throughput.
Define how approvals, changes, messages, records, and handoffs can be paused, corrected, rolled back, or explained after the fact.
A named operating owner, documented cadence, and clear responsibility for completion.
Review records, exception handling, source lineage, and escalation history.
A practical view of throughput, blockers, decisions, risk, and the next improvement.
Show us the queue, handoffs, service levels, approvals, and recurring exceptions. We will recommend a stabilization, managed-run, or transfer plan.