The AI teammate delegation brief
AI teammates can take repeated work off the plate. The hard part is defining the outcome, boundaries, evidence, and handoff before the work starts.
Today's workplace AI news points toward a clearer product category: AI teammates for repeated office work. Convey, for example, raised funding for outcome-oriented AI teammates that handle repetitive workflows rather than isolated one-off tasks. That framing is useful, but it raises a practical question for every team: what exactly are you delegating, and how will you know the AI teammate did it well?
The practical rule: delegate an outcome, not a vague pile of tasks.
The skill
An AI teammate delegation brief is a one-page contract for assigning repeated work to an AI assistant, agent, or teammate-style tool. It defines the outcome, inputs, boundaries, handoff, evidence, and human owner before the tool starts operating.
AI teammate delegation brief
Workflow:
{name of repeated workflow}
Outcome:
{the business result the AI should produce}
Repeated inputs:
{systems, files, tickets, messages, reports, forms}
AI responsibilities:
{what the AI can do every run}
Human-owned decisions:
{what the AI must not decide}
Boundaries:
{data, permission, customer, financial, legal, or publishing limits}
Evidence required:
{sources, logs, calculations, examples, tests}
Handoff:
{where the output goes and who receives it}
Review rule:
{how humans approve, sample, or audit the work}
Success metric:
{what should improve}When to use it
Use the brief when a workflow is frequent enough that manual repetition is wasting attention, but important enough that blind automation would create risk.
- Use it for repeated back-office work: invoice checks, vendor follow-ups, CRM cleanup, support summaries, weekly reporting, or task triage.
- Use it before buying a tool: the brief makes vendor demos easier to evaluate.
- Use it before building an agent: the brief prevents the team from automating an unclear workflow.
- Use it for handoffs: the AI output should have a destination, owner, and review rule.
A worked example
Suppose an operations team wants an AI teammate to manage vendor invoice exceptions.
Workflow:
Vendor invoice exception triage.
Outcome:
Produce a reviewed queue of invoices that need human action.
Repeated inputs:
Invoice inbox, purchase order export, vendor master list, exception codes.
AI responsibilities:
Match invoices to purchase orders.
Group exceptions by reason.
Draft vendor follow-up messages.
Flag missing data.
Human-owned decisions:
Approve payment, reject invoice, change vendor terms, send escalations.
Boundaries:
Do not send messages.
Do not update payment status.
Do not infer bank or tax details.
Evidence required:
Invoice ID, purchase order ID, mismatch reason, source row or email.
Handoff:
Daily exception table sent to accounts payable lead.
Review rule:
Human reviews every high-value exception and samples 20% of low-value matches.
Success metric:
Reduce time from exception arrival to reviewed queue by 50%.The prompt
Use this before assigning a recurring workflow to an AI teammate:
Create an AI teammate delegation brief for this workflow.
Workflow:
{describe the repeated workflow}
Current pain:
{what is repetitive, slow, inconsistent, or hard to track}
Inputs:
{systems, files, messages, tickets, reports}
Risks:
{customer impact, financial impact, data sensitivity, compliance, brand}
Return:
1. The outcome to delegate.
2. What the AI can do every run.
3. What must remain human-owned.
4. Boundaries and permission limits.
5. Evidence the AI must provide.
6. Handoff location and owner.
7. Review rule.
8. One success metric and one guardrail metric.How to review it
A good delegation brief should make the work testable. If the AI teammate produces output, a reviewer should be able to tell whether it followed the brief without reconstructing the entire workflow.
- Outcome is specific: "triaged queue" beats "help with invoices."
- Boundaries are explicit: the brief says what the AI cannot decide or change.
- Evidence is visible: every recommendation points back to source material.
- Review cost is measured: the team knows whether delegation saved time or moved effort elsewhere.
The rule
AI teammates are most useful when they take responsibility for a repeated outcome inside a bounded workflow. Without a delegation brief, the team is not delegating. It is just handing messy work to a new interface.