Grounded context
Limit drafts to approved service information, customer records, and relevant conversation history.
BUILT AROUND YOUR BUSINESS
Get Help Drafting Customer Replies
Prepare reply drafts and summaries that you can review before anything is sent to a customer.
Let’s talk about itTHE IDEA
AI can help turn customer messages and approved business information into a first draft. You review the wording, prices, and promises before sending. The goal is to save typing time while keeping you in control.
Generic AI replies can invent pricing, availability, policies, or project facts. They also create risk when sensitive information is sent to an unapproved provider or messages are delivered without review.
What this
can do.
A clear purpose for every part.
Reviewable output
Show the proposed message and source context to an authorized person before sending.
Measured assistance
Track acceptance, edits, response time, and failure cases so automation earns continued use.
IS THIS A GOOD FIT?
Made for
this kind of work.
- Teams handling repeated inquiry questions
- Owners who need concise conversation summaries
- Businesses that want faster follow-up without an autonomous chatbot
PRACTICAL CAPABILITIES
- Conversation summaries
- Reply drafts
- Suggested follow-ups
- Tone guidance
- Approval workflow
- Usage reporting
FROM FIRST STEP TO NEXT STEP
- Receive
- Gather context
- Summarize
- Draft
- Review
- Send
TIME & SCOPE
A plan before
a promise.
AI assistance is introduced after the underlying customer record and approval workflow are reliable.
AI drafting and custom automation are not included in the three listed subscriptions. We review availability, scope, and any additional costs with you before work begins.
Compare the plansTHE DETAILS WE AGREE ON
- Approved knowledge
- Tone and language
- Escalation rules
- Data boundaries
English and Spanish assistance can be configured for Washington businesses after approved language, privacy, and reviewer requirements are defined.
QUESTIONS BEFORE WE START
Will customers know a draft used AI?
Disclosure depends on the use case and applicable policies. NDWS does not design AI to falsely claim personal knowledge or hide material automation.
Can AI answer from our policies?
It can draft from approved source material, but important commitments, pricing, legal, safety, and exception cases should be reviewed by a qualified person.
Is customer information used to train public models?
Provider data controls vary. NDWS reviews the selected service and configuration; the project should not assume consumer-product defaults are appropriate for business records.
Connected ideas.
A CONVERSATION IS A GOOD START