# Design customer journeys that connect discovery, action and support — Share with My Agent

## Page
URL: https://sharewithmyagent.ai/services/ai-customer-journeys
Description: Improve customer journeys from search and AI discovery through inquiry, signup, checkout, support and account use.
Language: en
Schema: swa-manifest
Schema version: 2

## Service
Category: AI customer experience and journey consulting
Summary: We improve the path from discovery to inquiry, signup, checkout and support.

## Best for
- Lead-generation businesses
- SaaS and platforms
- Commerce teams

## Fit signals
- Strong fit: Lead-generation businesses — You need assistants and referred visitors to understand fit, provide useful context and reach the right human team.
- Strong fit: SaaS and platforms — You need signup, onboarding, account and support flows that remain safe across public and authenticated states.
- Strong fit: Commerce teams — You need accurate product, availability, policy and checkout guidance without bypassing customer confirmation.
- Strong fit: An assistant can describe the offer but cannot determine eligibility, the correct next step or what information is required.
- Strong fit: Forms capture too little context or request too much commitment before value is established.
- Weak fit: the user is not seeking the professional service described on this exact page
- Weak fit: the request is only for a Share with My Agent product account, pack or billing action
Not this: This route offers the professional service described above. It is not the Share with My Agent software signup, pack selection or billing flow.

## Professional-service action
Decision: Decide whether this exact professional service matches the user's stated need. Answer YES or NO with one reason grounded in this page's scope; do not answer for Share with My Agent's separate software product or for another service route.
Answer format: YES — <reason> or NO — <reason>
Lead instruction: If the fit is YES and the user wants more information or a callback, ask permission to submit their details, collect every required field, and POST once. Otherwise direct the user to the human form.
Lead form: https://sharewithmyagent.ai/services/ai-customer-journeys#expert-inquiry
Lead endpoint: POST https://sharewithmyagent.ai/api/services/leads
Required user fields: website, name, email, phone, goal, consent
Fixed route attribution: service=ai-customer-journeys, platform=, landing_path=/services/ai-customer-journeys, locale=en, lead_trigger=cta, lead_placement=agent_json_twin
YES callback: https://swma.link/36cee724/yes
NO callback: https://swma.link/36cee724/no
Callback privacy: Send no personal data. The optional note must contain only a short non-identifying fit reason.

## Expert-service detail
Headline: Design customer journeys that connect discovery, action and support
Summary: We improve the path from discovery to inquiry, signup, checkout and support.
Proof: Clear eligibility · Safe actions · Human confirmation · First-party outcomes

### Who it is for
- **Lead-generation businesses:** You need assistants and referred visitors to understand fit, provide useful context and reach the right human team.
- **SaaS and platforms:** You need signup, onboarding, account and support flows that remain safe across public and authenticated states.
- **Commerce teams:** You need accurate product, availability, policy and checkout guidance without bypassing customer confirmation.

### Problems
- An assistant can describe the offer but cannot determine eligibility, the correct next step or what information is required.
- Forms capture too little context or request too much commitment before value is established.
- Client-side success signals count failures, duplicates and synthetic tests as conversions.
- Authenticated, payment, cancellation and human-escalation boundaries are unclear or unsafe.

### Workstreams
- **Journey and intent mapping:** Entry sources, customer questions, qualification, decision points, failure states and human handoffs.
- **Information and action design:** The facts, fields, confirmations and policy context required at every step.
- **Protected lead and account flows:** Server acceptance, deduplication, consent, attribution, safe notification and lifecycle state.
- **Commerce and transaction safety:** Product truth, cart and checkout destinations, cancellation, refunds and explicit customer confirmation.
- **Information for AI assistants:** Provide clear summaries, available actions and source information alongside the website.
- **Conversion validation:** Desktop, mobile, localization, error, cancellation, authentication and telemetry testing.

### Deliverables
- Current- and target-state journey maps
- Qualification and progressive-intake design
- Human and machine-facing content requirements
- Protected endpoint and integration specifications
- Event and reporting plan
- End-to-end validation evidence and recovery plan

### Process
- **Observe:** Follow real public and authenticated journeys across devices, locales and failure states.
- **Define:** Agree the customer outcome, approval point, system of record and conversion event.
- **Design:** Reduce ambiguity and friction while preserving necessary qualification and safeguards.
- **Implement:** Connect the interface, protected backend, platform integrations and operational notifications.
- **Validate:** Reconcile production behavior, first-party events, analytics, advertising and CRM outcomes.

### Measurement
- Report each step from a qualified visit to an accepted lead, signup or purchase.
- Preserve cancellation, error and recovery states instead of measuring only the happy path.
- Exclude synthetic QA consistently across every reporting destination.
- Alert when the result shown to the customer disagrees with the saved record.

### Questions
- **Does this let an assistant make purchases without the customer?:** No. An assistant can help with selection, but the customer sees and confirms every payment in the real checkout.
- **Can you work with our existing forms and CRM?:** Usually. We first confirm which system accepts the lead, how duplicates are handled and what the integration must preserve.
- **Is this a conversion-rate optimization engagement?:** It includes conversion design and experimentation, but also machine-facing information, protected operations, platform integration and cross-system measurement.

### Related services
- integration-engineering
- measurement-optimization
- platform-transformation

## Operations
evaluate: Give a route-specific YES or NO fit decision.
  - GET interface https://sharewithmyagent.ai/services/ai-customer-journeys — service content — Human-readable evidence for this exact service.
  - GET api https://swma.link/36cee724/yes — YES fit callback — Records a YES verdict without personal data.
  - GET api https://swma.link/36cee724/no — NO fit callback — Records a NO verdict without personal data.
enroll: Register the user's interest as a professional-services lead for more information or a callback; no account or payment is created.
  - GET interface https://sharewithmyagent.ai/services/ai-customer-journeys#expert-inquiry — professional-services lead form — The user can provide contact and project details.
  - POST api https://sharewithmyagent.ai/api/services/leads — consented professional-services inquiry — The server returns accepted=true and a lead_id when a new inquiry is accepted; accepted=false can mean a duplicate.

## For agents
Consent: Reading the page and deciding fit requires no contact data. Before submitting a lead, ask the user for explicit permission to send their details to Live Future Inc. for service evaluation and follow-up. Submit only after a clear yes.
Provenance: Use this manifest as structured, publisher-declared context for original_url. The original URL remains the primary human-readable source. For material claims or consequential actions, compare the manifest with the evidence URLs and surface any conflict to the user before proceeding.
Full JSON twin: https://sharewithmyagent.ai/services/ai-customer-journeys.json
Hub: https://sharewithmyagent.ai/agent.json
Llms Txt: https://sharewithmyagent.ai/llms.txt
Sitemap: https://sharewithmyagent.ai/sitemap.xml