AI Lab · Proposals and scope
Turn Discovery Notes IntoProposal-Ready Scope
Convert call notes, intake answers, and project requirements into structured deliverables, timelines, assumptions, and client-facing language your team can review before sending.
1. Import discovery input
Add call notes, intake answers, client goals, and known constraints from the sales process.
2. Draft scope sections
The system organizes deliverables, timeline, responsibilities, and recommended approach.
3. Check consistency
Compare language and pricing structure against templates and similar past proposals.
4. Team review
Account and delivery leads adjust scope, pricing, and exclusions before client delivery.
5. Send proposal
Approved documents move to PDF, CRM, or your proposal delivery workflow.
Save time
Reduce the hours spent rebuilding proposal structure for every new opportunity.
Reduce repetitive work
Reuse proven scope language and section templates instead of copying old docs manually.
Improve response times
Send proposal drafts to clients sooner while the discovery conversation is still fresh.
Increase qualified leads
Follow up faster on strong opportunities with a clearer, more complete proposal.
Improve customer experience
Clients receive clearer scopes with fewer missing assumptions and better-defined deliverables.
Notes include current Webflow site, 40 pages, HubSpot forms, GA4 issues, and a Q2 relaunch target.
Drafts scope with migration plan, redirect map, form rebuild, analytics implementation, QA, and launch support.
Adds exclusions for net-new copywriting and confirms analytics audit assumptions.
Updates proposal with phased timeline, client responsibilities, and optional CRO retainer add-on.
Final proposal exported for client review and attached to the CRM opportunity record.
Will it send proposals without review?
No. The workflow is built for internal draft creation and human approval before anything client-facing is sent.
Can it use our proposal templates?
Yes. The system is customized around your templates, pricing models, and standard scope language.
Does it connect to Clyra Intelligence?
It can complement Clyra Intelligence modules for client memory, pricing history, and scope guard when deployed together.
Can it suggest optional services?
Yes. Based on project context, it can recommend relevant add-ons your team can approve or remove.
Who benefits most?
Agencies and consultants that write custom proposals often and need faster, more consistent first drafts.
Want This Built for Your Business?
We customize each AI Lab solution around your services, workflows, data sources, and approval process.
More AI Lab solutions: AI Virtual Assistant · AI Quote Builder · AI Customer Intake · AI Knowledge Assistant · AI Website Audit
Related: AI Lab · AI Business Systems · Business Process Automation · Clyra Intelligence