Today in AI News | AI K9 Codee
Use AI to prepare the estimate conversation while a person owns the price and the promise.
An estimate often stalls because the request is incomplete. A customer asks for a room painted but leaves out the room size. A catering inquiry names a date but not the number of guests. The owner starts calculating before discovering the question that would have changed the job.
Five AI company signals suggest a better starting point: prepare the questions before preparing the quote. The examples below are possible workflows, not vendor promises or reports of customer results.
OpenAI expands the work an assistant can prepare
OpenAI announced GPT-6 Astra with expanded computer-use and professional-work capabilities.
A painter could provide an approved intake checklist and ask for a draft response that collects the missing details. The output should distinguish what the customer said from what the business still needs to know. That helps the estimator begin with a complete request.
Keep price calculation tied to the approved method. If the information supports only a rough range, say what would be needed for a firm estimate. A capable model should not be treated as a new pricing policy. The owner still approves scope, exclusions, scheduling, and the final amount.
Source: GPT-6 Astra announcement
Anthropic can hold the quoting context together
Anthropic introduced Projects to organize knowledge, instructions, and related Claude conversations.
A florist might collect package descriptions, setup boundaries, and examples of well-scoped proposals in one project. The assistant could then prepare a question list for an event inquiry using those materials.
A practical instruction is to identify conflicts explicitly. If the customer's requested setup exceeds the package description, flag the difference instead of silently expanding the offer. This makes the conversation more useful because the business can explain the choice before quoting. The project should contain current, approved terms rather than every past proposal.
Google connects business context with customer work
Google announced a Business Profile integration and business-focused Gemini notebooks.
Business-focused Gemini features suggest the value of grounding a reply in the offer customers can actually find. A local shop could compare its draft estimate explanation with the service descriptions and hours it maintains publicly.
Check consistency across the customer journey. If the estimate email uses a package name that the public page does not explain, the customer has another question to solve. A clear service name, short scope statement, and reliable contact path may improve the experience before any automation is added. Confirm feature access in the business's account.
Source: Gemini business features
Microsoft keeps the draft close to the estimate file
Microsoft brought Copilot Business into familiar Microsoft 365 applications.
An owner working in office documents can use assistance to organize scope notes and prepare a readable draft. Put confirmed line items in the source estimate, then use the narrative to explain what those items mean.
Review the numbers independently. Look for a missing quantity, duplicated charge, or mismatch between the text and the sheet. A proposal can sound confident while containing an arithmetic error. The finish line is a quote a customer can understand and an owner can defend, not simply a document that reads smoothly.
Source: Copilot Business announcement
Adobe helps make the explanation easier to absorb
Adobe announced Acrobat capabilities for document-based visuals, audio summaries, and presentations.
A detailed proposal may need a short overview of the work, sequence, and options. Document-based visuals could help a customer see the difference between the base scope and an optional addition.
Keep the contractual details available in the full document. A summary should not remove an exclusion or make an optional item look included. Use plain language, consistent labels, and actual job information. A visually attractive estimate helps only when the visual and written versions tell the same story.
Source: Acrobat Productivity Agent
Try this in your own workflow
- Take one anonymized inquiry that needed repeated follow-up.
- List the facts required before you can quote and mark the ones missing from that inquiry.
- Ask for a short customer question list using only your approved scope rules.
- Have the estimator approve the questions, then prepare the quote from the completed information.
- Compare the number of follow-ups with your normal process; keep any improvement that remains accurate.
A faster quote starts with better information. Let AI organize the conversation and surface missing details. Keep the actual price, scope, and business commitment with the person responsible for delivering the job.
Give the customer a clear next step
A useful AI workflow still needs a clear customer destination. Codee offers a $49 QRCodee with a hosted QR image and tap logic, a $99 CodeeFlyer with a hosted flyer image and three call-to-action button options, and a $2,500 Mini Codee Site with three to five pages. The flyer includes the QRCodee site; the Mini Codee Site bundles the earlier services and adds full editing control. Choose the destination that fits the next action you want a customer to take. External platforms or manual processes can handle payments and communication. Explore the options at Codee.chat.