Operations use cases

AI workflows for recurring operations work.

Start with one repeatable procedure, clear source records and a person who owns the result. These examples show how to scope an agent around the work your team already does.

Illustrative workflow plans, not customer results or a catalogue of ready-made integrations. During early access, we agree on system access, permissions and the procedure with your team before connecting anything.

Request intake and triage

Shared inboxes and helpdesks collect requests with missing details, inconsistent categories and unclear owners. An intake agent can prepare the information needed for a person to respond.

Example playbook

  1. Read the request and extract the requested action, account and deadline.
  2. Check the fields your procedure requires and draft a question for missing information.
  3. Suggest a category, priority and owner using the routing playbook.
  4. Send unclear, conflicting or sensitive requests to the designated reviewer.
  5. Record the source, recommendation and reviewer’s decision.
Source records
The incoming request, your routing rules, category definitions and the relevant service or account record. Scope access to the inbox or queue the workflow actually needs.
Human decision
A person approves external replies and any record changes that your team marks as consequential. An ambiguous request stays in review instead of being silently assigned.
What to measure
Compare time to first review, the share of suggestions reviewers change and the number of requests returned for missing information. Review errors as well as speed.

Example exception

A request mentions both a billing dispute and a cancellation. The agent presents the source text and asks the reviewer to choose the route before a reply is sent.

Invoice and record reconciliation

Comparing invoices, purchase orders and system records takes time even when most fields match. An agent can prepare the comparison and bring differences to a person.

Example playbook

  1. Extract the invoice reference, supplier, dates, currency and amounts.
  2. Find the corresponding purchase order using the agreed matching rules.
  3. Compare amounts and required fields; flag missing records, duplicates and differences.
  4. Prepare a reconciliation summary with links to the source records.
  5. Route the exception or approval request to its owner and log the outcome.
Source records
Invoice documents, purchase orders, the fields to compare, matching rules and your team’s approval thresholds. Confirm which system is the source of truth for each field.
Human decision
A mismatch is reviewed by the responsible person. Payment, supplier changes and updates to financial records follow the approval boundaries agreed with your team.
What to measure
Track review time per invoice, unmatched records, duplicate flags and corrections made by reviewers. Compare like-for-like workloads before expanding the scope.

Example exception

The invoice total differs from the purchase order. The agent shows both amounts and source records; the owner resolves the difference before any payment action.

Recurring reports and follow-ups

Weekly updates often involve collecting the same fields, finding missing submissions and copying records into a report. An agent can assemble a draft and identify gaps.

Example playbook

  1. Collect the fields required for the reporting period from the agreed sources.
  2. Check completeness and flag inconsistent or outdated records.
  3. Draft the report with source references and a list of unresolved gaps.
  4. Prepare follow-ups for the owners of missing information.
  5. Ask the report owner to review the draft before distribution.
Source records
The report template, reporting period, approved data sources, responsible contributors and rules for missing or late information.
Human decision
The report owner reviews interpretation, recipients and unresolved gaps. Follow-ups and publication can wait for approval; missing data remains clearly marked.
What to measure
Track preparation time, missing submissions at the deadline, corrections after review and time spent chasing information. Do not count an incomplete report as a successful run.

Example exception

Two teams have not submitted their weekly figures. The draft marks the gaps and prepares reminders instead of filling in estimated numbers.

Choose a sensible first workflow.

Getting started

  1. Pick a narrow task

    Choose work that repeats often, has a written procedure and has source records your team can review. Avoid starting with decisions whose consequences are hard to reverse.

  2. Define the boundaries

    Name the owner, allowed systems, required approvals and the conditions that stop a run. Decide how exceptions reach a person.

  3. Compare and review

    Record a baseline for time and error rate. Review agent outputs alongside the existing process, then refine the playbook before broadening access.

How agents are scoped and deployed →Review permissions and approvals →Questions before you start →

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