Start with the business problem
Describe the work that creates delay, rework, missed opportunities, or avoidable risk. Explore solution patterns and reviewed cases that address a similar problem.
Cases are examples, not prescriptions. A useful pattern still needs to fit your data, workflow, controls, budget, and operating environment.
- 7
- reviewed public cases
- 500
- records in the research set
- 27 August 2026
- Sources checked
Or choose a common problem
Choose the problem you can observe
Customers wait too long for a response
Enquiries arrive through several channels, replies depend on one person, or routine answers take too long to prepare.
Define which replies may be drafted, which require approval, what source material the system may use, and how a person takes over when confidence is low.
See response-time casesLeads and enquiries get lost
New opportunities are copied between tools, followed up inconsistently, or noticed after the customer has moved on.
Make the qualification criteria visible. Do not let the model invent eligibility, pricing, availability, or promises to the customer.
See lead-management casesEmployees repeat the same admin work
People re-enter data, format reports, sort requests, or perform the same checklist across many similar cases.
Measure the full cycle, including error correction and exception handling. Faster task completion is not useful if rework increases.
See admin-work casesKnowledge is scattered
Answers live in documents, inboxes, and individual memory, so employees spend time searching or give inconsistent guidance.
Do not let generated answers become a new source of truth. They should point back to controlled material and disclose missing or conflicting evidence.
See knowledge-access casesDocuments and content take too long
Routine emails, proposals, reports, and first drafts consume time before expert review can begin.
Separate drafting from approval. Regulated, legal, financial, safety-related, and contractual content requires a qualified reviewer.
See document-work casesManagers receive information too late
Operational data is consolidated manually, forecasts are delayed, or decisions are based on partial information.
Keep source data, assumptions, and uncertainty visible. A fluent summary is not evidence that the underlying numbers are complete.
See reporting and planning casesQuality depends on manual checking
Important work is reviewed inconsistently, errors are found late, or the same person creates and approves the output.
Define the consequence of false positives and false negatives. High-consequence decisions need independent rules, qualified review, and a safe fallback.
See quality-control casesRelevant cases
7 cases
Drafting routine client emails without taking staff away from ranch work
Problem
Lengthy client emails took time away from employees working on the ranch.
Approach
The team used an AI writing assistant inside email to prepare a first draft.
Reported outcome
The vendor-published source says email drafting was reduced to a few minutes.
Vendor-published case · Google Workspace
Starting lead intake within minutes instead of waiting for manual handling
Problem
Manual intake delayed the first response, matter creation, and subsequent contact.
Approach
The workflow used AI-assisted classification and connected intake records to start the next step automatically.
Reported outcome
The vendor-published source reports about 66 hours saved per month, a 22.8% increase in conversion, and contact starting in roughly two minutes.
Vendor-published case · Zapier
Consolidating recurring inventory information with less manual formatting
Problem
Manual inventory reporting consumed time and complicated day-to-day control.
Approach
The team used an AI assistant in a spreadsheet to consolidate and format inventory information.
Reported outcome
The vendor-published source reports less manual work, but gives no quantified time or cost result.
Vendor-published case · Google Workspace
Giving employees one place to retrieve approved operational knowledge
Problem
Support quality depended on the specialised industry and product knowledge of individual employees.
Approach
The company used an internal assistant to retrieve information from a shared knowledge base.
Reported outcome
The vendor-published source describes unified access to company knowledge but gives no quantified productivity result.
Vendor-published case · Salesforce
Preparing a first contract draft before lawyer review
Problem
A solo lawyer was constrained by research, contract work, and follow-up administration.
Approach
The workflow connected an AI assistant with business tools to prepare a first contract draft from available context.
Reported outcome
Across the wider workflow, the vendor-published source reports roughly five times the output and an 80% reduction in the lawyer's own work time. The source does not isolate the contract-drafting step.
Vendor-published case · Zapier
Preparing inventory forecasts and run-rate calculations faster
Problem
The team found it difficult to estimate future kit demand quickly from sales data.
Approach
The team used an AI assistant in a spreadsheet to support forecasting and inventory run-rate calculations.
Reported outcome
The vendor-published source reports faster preparation but gives no quantified time, accuracy, or financial result.
Vendor-published case · Google Workspace
Drafting support replies from shared knowledge with a fact-check before sending
Problem
Support quality depended on the specialised knowledge of individual employees.
Approach
AI prepared a response from the shared knowledge base, and an employee checked the facts before sending it.
Reported outcome
The vendor-published source reports less manual work but gives no quantified time, quality, or cost result.
Vendor-published case · Salesforce
A case shows a pattern, not a guaranteed result
The library helps readers discover operating patterns. It does not treat a customer story as proof that the same result will occur elsewhere.
How we assess the evidence- 1What business problem was present?
- 2What changed in the workflow?
- 3What result did the source report?
- 4What remained under human control?
- 5What is unknown or may not transfer?
Found a relevant pattern?
Review one real workflow
Define the trigger, data, decision boundary, owner, and measure before choosing a tool.