1. Ground
Give AI source material, retrieval, and context that match the task.
Every sample below is classified four ways so you can choose with discipline: is the work deterministic or non-deterministic, when does a human stay in the loop, what can AI safely do today, and how ready is it. The spine underneath all of them is the same: the determinism bridge.
Useful for language and judgment support. Define the quality gate and catch errors before they affect customers or records; an unexplained accuracy percentage is not a deployment standard.
Rules validate and execute approved steps. Reliability still depends on correct inputs, permissions, error handling, and reconciliation.
Give AI source material, retrieval, and context that match the task.
Allowed actions, forbidden zones, confidence thresholds, required citations.
Human approval for money, public posting, deletion, legal, security, irreversible actions.
Deterministic workflows handle API calls, writes, calculations, records.
Prompt version, input, output, user, model, cost, evidence, corrections.
Turn misses into better prompts, cleaner data, sharper escalation.
Non-det probabilistic AI
Det rules-based system
Bridged AI + systems together
Before action review before the reply, send, or record write
After action audit a sample only within approved low-risk limits
Decision owner a person makes the consequential decision
Execute within limits perform only the actions explicitly approved for this workflow
Recommend propose, human chooses
Draft human saves/sends
Gated never alone
Candidate common starting point, subject to your readiness checks
Pilot needs additional proof before live use
Hold not yet / high risk
Before a live pilot, confirm: a mapped process and named operator; permitted, current data; tool access limited to the job; tested errors and exceptions; a human review or escalation path; a baseline and acceptance criteria; and a way to pause or roll back. The badges describe proposed patterns, not certification that a workload is safe to deploy in every setting.
For example, “Execute within limits” with “Before action” means AI prepares the work but cannot execute until the operator approves it. “After action” applies only to explicitly approved low-risk actions.
These six are illustrative workflow designs; account recovery requires additional security review. Each needs a named operator, current sources, tested permissions, and a measurable baseline before live use. The full sample walkthroughs are here.
Same four tags. Read the badges before you buy a tool; they tell you where the human stays, what AI may touch, and whether to deploy or pilot.
Productivity
Auto minutes with owners and due dates from a transcript.
Productivity
Sort, prioritize, and draft replies; you send.
Data
Fill and tidy low-risk fields; flag conflicts.
Legal & ops
Summarize terms and risks; never the final word.
Sales
First-pass proposal from your library and the brief.
Enablement
Prepare sourced answers; approve before replies and escalate gaps.
Support
Propose a route within approved limits; audit corrections.
Customer
Flag accounts for human review and follow-up.
Finance
Pull line items; approve before posting.
Executive
Data extract + variance commentary; leader approves.
People
Role-specific guides; an SME reviews.
Marketing
Turn a founder's voice into repeatable drafts.
People
Surface a shortlist; never reject alone, bias-checked.
Finance & CX
AI prepares the case; a human approves; rules execute the approved amount.
Finance & ops
Flag outliers for an analyst to confirm.
Trigger to outcome, AI and systems each doing what they're good at, with the human gate exactly where risk lives.
Use it like this: pick one Candidate workload with a clear action boundary, define the human gate before you build, measure the value, then graduate the next one. Keep everything marked Gated/Hold behind a human until trust and data are earned.
This is a starter set of twenty-one. Want the full map? The Skynet Wars AI Capability Index charts the AI capability domains by category, with maturity signals and the leading tools in each.