White-Label Chatbot Resale Offer (10-18 days)
A productized engagement that installs a rebranded AI chat widget on a client site, trains it on their content, and hands over a resale-ready support and lead capture layer the agency can bill monthly. Time: 10-18 days.
By InnovaAI ResearchPublished
How do you implement it?
White-Label Chatbot Resale Offer (10-18 days)
A productized engagement that installs a rebranded AI chat widget on a client site, trains it on their content, and hands over a resale-ready support and lead capture layer the agency can bill monthly.
- Client grants admin or tag-manager access to the production site and staging environment
- A source of truth for answers exists: help center, FAQ doc, or at least 20 pages of crawlable content
- Named client owner for escalation routing plus a working inbox or help desk endpoint
- Agreed disclosure language for AI identity and data handling, signed off before launch
- Baseline conversion and support-ticket numbers captured for the 30 days before install
- 1.Inventory the client's current contact paths and count monthly form submissions
- 2.Pull 30 days of support ticket volume and tag the top 10 recurring questions
- 3.Confirm the escalation owner and after-hours expectations in writing
- 1.Select the platform against white-label, analytics export, and integration criteria
- 2.Document why the runner-up was rejected so the client sees the tradeoff
- 3.Confirm the resale or rebrand terms the agency will operate under
- 1.Crawl or upload the client's content into the knowledge base
- 2.Strip outdated pricing, legal, and promo pages from the training set
- 3.Flag gaps where the client has no written answer at all
- 1.Write 40 to 60 test questions drawn from real ticket logs
- 2.Score the first-pass answers and log every wrong or hedged response
- 3.Send the gap list to the client for source material
- 1.Rebuild the failing answers with corrected source content
- 2.Set refusal behavior for pricing, legal, and medical or financial advice
- 3.Define the handoff trigger phrases that route to a human
- 1.Style the widget to the client's brand colors, fonts, and avatar
- 2.Set the greeting, quick-reply chips, and lead capture form fields
- 3.Configure the escalation destination and notification channel
- 1.Install on staging and run the full test question set again
- 2.Verify mobile rendering and page-load impact on the three highest-traffic templates
- 3.Confirm lead records land in the client's CRM or sheet with correct field mapping
- 1.Ship to production behind a percentage-based rollout if the platform supports it
- 2.Watch the first 24 hours of transcripts for off-script answers
- 3.Patch any answer that drifts from the approved source
- 1.Review transcript quality and tag conversations by intent
- 2.Tune the two weakest intents with rewritten source content
- 3.Check that escalations reached a human within the agreed window
- 1.Build the client-facing dashboard view: conversations, leads, deflection rate
- 2.Export the first week of data into the agency's reporting template
- 3.Draft the monthly retainer scope and the metrics it will be judged on
- 1.Run a 45-minute training session with the client's front-line team
- 2.Hand over the admin login and a one-page runbook for common edits
- 3.Agree the review cadence and who owns answer updates
- 1.Deliver the final report with before-and-after conversion and ticket numbers
- 2.Present the resale or upsell path for the client's other web properties
- 3.Close with a 30-day check-in date on the calendar
The build is mostly configuration and content cleanup, so a two-person team can finish in under three weeks while the client compares it to a support hire costing $3,500 or more per month. Agencies keep the margin by owning the knowledge base upkeep and the monthly transcript review, which is recurring work the client will not do internally. Reselling a white-label platform adds a licensing spread on top of the service fee without adding delivery hours.
- Live branded chat widget on the production site with escalation routing configured
- Knowledge base of approved answers plus a documented gap list the client still owes
- Test question log with pass and fail results across two rounds
- Client-facing dashboard and a first monthly report with deflection and lead metrics
- Admin runbook and recorded training session for the client's team
The widget is live on production, answers at least 90 percent of the agreed test question set correctly, routes escalations to a named human, and the client has received the first monthly metrics report.