Sales materials
How to position, sell, and package the Consumer AI-Agent Channel.
The field kit for introducing the concept to large enterprises as a strategic CX add-on, transformation program, or managed interaction service.
30-second pitch
Customers are starting to use ChatGPT, Gemini, Copilot, Claude, and other AI assistants as their personal service agents. Today, those AI tools have no official front door into most enterprises. We create a secure Consumer AI-Agent Channel so those assistants can retrieve approved answers and complete authorized transactions directly with the business — with identity, consent, controls, APIs, audit, and escalation built in.
Executive pitch
Your customers will increasingly ask their own AI to solve problems with your business. Without an official channel, the AI either guesses, scrapes your website, sends the customer back to your phone queue, or produces inconsistent answers.
We help you create an enterprise-controlled front door for those AI assistants. It is not a replacement for your website, app, contact center, or chatbot. It is the next channel next to them.
Ideal target accounts
Retail & grocery
Order status, refunds, returns, delivery substitutions, loyalty, product search, digital coupons, fulfillment issues.
Healthcare
Benefits, appointments, claims, prescriptions, provider search, billing questions, prior authorization status.
Financial services
Disputes, payments, account servicing, card issues, branch / ATM questions, policy explanation, secure escalation.
Telecom & media
Plan changes, troubleshooting, billing, equipment returns, outage status, upgrades, service appointments.
Travel & hospitality
Reservation changes, loyalty, disruption handling, claims, refunds, baggage, itinerary support.
Utilities & energy
Outages, billing, service requests, move-in / move-out, payment plans, program eligibility.
Discovery questions
- 1What are your top 20 contact reasons by volume and cost?
- 2Which service interactions can be completed today through APIs, portals, or agent desktops?
- 3Where do customers currently fail in web / app self-service and fall back to phone / chat?
- 4What policies are most frequently misunderstood by customers or agents?
- 5What transactions require authentication, consent, step-up verification, or human review?
- 6Which AI ecosystems matter most: ChatGPT, Gemini, Copilot, Claude, Apple / Siri, Alexa, others?
- 7Would you prefer a platform build, managed service, or cost-per-interaction commercial model?
Objection handling
| Objection | Response |
|---|---|
| “We already have a chatbot.” | This is not another chatbot. Your chatbot is a destination. This is an enterprise channel endpoint for the AI assistants customers already use. |
| “We don't want third-party AI touching customer data.” | That is exactly why the channel needs governance. The hub controls authentication, consent, scoped access, redaction, tokenization, audit, and policy. |
| “This sounds too early.” | The best time to define a channel is before customers routinize around unmanaged alternatives. A low-risk pilot can start with read-only answers and selected actions. |
| “Each AI vendor works differently.” | Correct. That is why the orchestration hub abstracts vendor differences behind a consistent policy, tool, API, and audit layer. |
Offer packaging
Phase 1: Strategy sprint
4–6 weeks. Use-case prioritization, architecture, security model, economics, pilot roadmap, and executive business case.
Phase 2: Pilot build
8–12 weeks. Build knowledge access, a limited MCP / tool layer, identity pattern, API integrations, testing, and controlled launch.
Phase 3: Managed channel
Ongoing. Operate the orchestration hub, monitor quality, expand use cases, manage vendors, and price per interaction or outcome.
Take the channel to your top accounts.
Use the pitch, discovery questions, objection handling, and phased offer to open the conversation with enterprise CX, digital, AI, and operations leaders.
Start the discussion →