REALISTIC WORKED EXAMPLE
What does a realistic business AI agent look like for an SME?
An SME agent may automate part of the work or a larger service. The example below covers a specific quote process. In this synthetic quote example, the agent reads an email and attachments, checks an authorized customer, catalogue, price matrix, and lead time, then prepares a quote. It writes to the ERP and sends only after explicit approval. Ambiguous identity, new prices, contracts, or engineering judgment stop the workflow.
Reading key: A0 to A4 describe the system’s authority. R0 to R3 describe possible impact. Letters A to E, when attached to a source, describe evidence strength only.
Key takeaways
Key takeaways
- 01
Quote preparation can be automated more safely than pricing authority.
- 02
Count excluded requests in the total workload too.
- 03
The economic gate can fail even when the agent works technically.
Noroît Mécanique synthetic pilot
| Measure | Initial state | Simulated result | Decision use |
|---|---|---|---|
| Human active time | 76 minutes | 27 minutes | Value gate |
| Initial eligibility | All requests counted | 238 of 316 | Transfer boundary |
| Ready for approval | Manual preparation | 163 of 238 | Not autonomous completion |
| Critical effects | Human controlled | Zero required | Safety veto |
What the agent may do
It may extract line items, check approved sources, calculate from a locked matrix, prepare the document, and show the intended recipient and system changes. It must abstain when customer identity, catalogue match, price authority, contract terms, or technical scope are unclear. ERP means the business management system that stores the quote or order. In this example, writing there and sending the quote are actions the person must approve, not just generated text.
What the result does not prove
A reduction from 76 to 27 minutes on accepted cases does not mean 64% less work across the company. Only 238 of 316 requests entered the workflow, every quote kept a human approval gate, and setup, recurring cost, exceptions, and released-capacity use remain separate.
WORKED EXAMPLE
The realistic decision
Continue A2 for the same catalogue quotes if value, quality, safety, traceability, and eligibility gates pass. Keep new prices, contract changes, engineering judgment, and autonomous sending outside scope. Recalculate the business case after recurring costs and actual capacity reuse.
- 316 total requests
- 238 initially eligible
- Zero autonomous pricing decisions
Sources and limits
Sources and limits
These sources bound the answer. They do not turn one published case into a promise for your organization.
- 01OECD: Generative AI and the SME Workforce ↗
SME adoption and transfer limits.
- 02Microsoft Ingram Micro InstaQuote ↗
A functional analogue for email-to-quote preparation.
- 03AWS Grupo Elfa quote automation ↗
A provider-reported high-end reference with limited transferability.