This is a working, rule-based teaching demo, not a live AI agent or a client deployment. It reads the seven labeled lines below. It does not understand arbitrary emails, inspect files, connect to your inbox or send messages.
Request text stays in this page’s memory and is not sent or saved. If you allow site analytics, only named interactions—not request text—are tracked. Reloading clears edits.
What the checks will show
Missing is better than guessed.
The first sample has a quantity, but its size has no units, its material is undecided, its artwork is not ready and its date is ambiguous.
Run the check, then try the complete and conflicting examples.
Read the supplied fields
Flag gaps and conflicting values
Draft questions for a person to review
One workflow. A practical next step.
Bring one quote-intake problem.
A free 20-minute CSLM review identifies one possible improvement, its human checkpoint and what to measure. It may be a better form—not an AI agent.
No purchase required. Implementation, integrations and third-party costs are quoted separately. No savings or lead volume is guaranteed.
Ask for the number of items, width, height and units. ‘6 × 3’ is not enough. Confirm each item separately for mixed orders.
02
Use + material
Indoor or outdoor? Temporary or long-term? Capture the requested material, or route the choice to the shop. Do not choose suitability from an email alone.
03
Artwork + finishing
Ask whether a file exists and its format. Availability does not mean print-ready. Your team checks the actual file, proof, colors, sides and finishing requirements.
04
In-hand date + feasibility
Ask for a specific date, not ‘Friday.’ The shop must confirm proof turnaround, production capacity and delivery before committing.
05
Pickup, delivery or installation
Identify who handles the next step. Installation may need site measurements, access details, a survey or permit review by a qualified person.
What a real pilot would add
Prove the handoff before connecting the inbox.
This demonstration checks labeled synthetic text with deterministic rules. It is not evidence that CSLM has deployed an AI quote system for a print shop.
A separately agreed pilot would test a representative, permissioned sample; compare extracted fields with human answers; route uncertainty to staff; and measure corrections and handling time. Only then consider an approved inbox or CRM integration.
What we would measure
Correct fields versus the human-reviewed answer
Missing or conflicting details caught—and missed
Staff review time and correction effort
Unauthorized sends or production actions: none allowed
No performance results or customer savings are claimed here.
