FlashCrafterFlashCrafter feature
Answer routine customer questions and hand exceptions to the team with context.
Independent local service owners and teams in the United States, including HVAC, plumbing, electrical, contracting, auto repair, and other service businesses.
24/7 Support Assistant AI answers customer questions on your site and by message around the clock. It combines smart intake, routine resolution, human escalation, and operational visibility so requests have a consistent path from arrival to the person or workflow responsible for the next step.
A request may concern scheduling, billing, a service update, or an urgent issue. The assistant uses your business reference content and the conversation's context to organize the response. When someone needs to take over, the captured details stay visible. Configurable boundaries let your team distinguish routine questions from complex quotes, complaints, and emergencies that need human judgment.
The feature
Use the agent with your connected data and approved business information to classify requests by type, detect urgency, and use follow-up context from earlier conversations. It can flag possible upsell opportunities, update published details, manage appointment scheduling and cancellations, answer FAQs with consistent templates, send confirmations and reminders where appropriate, and generate and send quotes for standard services when configured.
For escalations, it tags emergency requests with urgency and context, gathers preliminary information, and attaches the full conversation history. The team can call the customer back or send a detailed reply. A dashboard shows active conversations and escalations, with operational summaries by shift and issue type, trend analysis for recurring issues, and custom alerts for high-priority escalations. Confirm account permissions, enabled options, approved information, and review boundaries during setup.
The workflow
Connect customer channels, add reference content, and define resolution and escalation boundaries.
Receive a customer message through a configured channel.
Classify the request by intent and urgency, using earlier conversation context where available.
Answer common questions or perform routine actions allowed by configured rules.
Escalate complex quotes, unhappy-customer issues, and emergencies with details, priority, and conversation history.
Review conversations, escalations, summaries, recurring patterns, and high-priority alerts.
Step by step
Connect the customer channels supported by your setup, add business reference content, and decide which request types the agent may resolve or must escalate. Setup can include a first version for team review, location-specific knowledge and urgency thresholds, and wording that identifies the assistant as AI.
Messages may arrive through supported site, chat, text, email, and social-message connections. Confirm which channels are available for your account during setup.
The configured intake groups requests as scheduling, billing, support, or emergency. It considers tone, urgency, and previous messages, including when a new message refers to an earlier appointment or question. Classification and upsell flags organize attention; they do not authorize the assistant to promise a service or resolve every request.
Routine actions can include appointment updates, confirmations, and published-detail updates. Standard-service quotes can be configured when the owner defines approved information and rules. Confirmations and reminders can accompany an action where appropriate.
The assistant gathers preliminary information, tags urgency, and keeps the conversation history attached. A clear briefing supports continuity but does not establish that a technician is available or that a complex quote is approved.
The dashboard shows active conversations and escalations. Summaries by shift and issue type help reveal recurring work, trend analysis can identify questions that need better reference content or a clearer support process, and custom alerts keep high-priority handoffs visible.
Who it serves
HVAC support examples include AC-maintenance scheduling, seasonal reminders, warranty-status questions, and urgent repair routing. Common maintenance questions can use business reference content, while emergency requests retain a handoff path to the team responsible for service availability.
Plumbing examples separate drain-cleaning scheduling and water-heater estimates from emergency leaks and after-hours routing. The assistant can capture the service need and relevant address before handing an urgent request to a person, without promising an automatic repair dispatch.
Electrician examples include panel-upgrade quotes, outlet appointments, EV-charger consultations, and power-outage requests. The routine intake organizes the topic; approved service information and escalation rules determine whether the assistant answers, gathers details, or passes the conversation to the team.
For contractors, the workflow lists project timeline updates, material-delivery coordination, subcontractor scheduling, and client progress reports. These examples depend on the business's project information and responsibility rules rather than the assistant independently determining a construction schedule.
Auto-repair support covers service-status questions, recall enquiries, appointment requests, and pickup/drop-off coordination. Keeping the earlier conversation and customer record with the request helps the next person distinguish a new booking question from an update about work already underway.
General-service examples include custom FAQ training, location-specific support, bilingual responses, and CRM integration. Locations can have different hours, knowledge, services, and escalation rules; confirm supported channels and language options during onboarding.
The alternative
Uses consistent reference content and response templates instead of having the team retype the same answers across customer channels.
The team retypes recurring answers across customer channels.
The assistant answers common questions using approved reference content and consistent templates.
Supports appointment scheduling, cancellations, confirmations, and reminders as routine support work within configured boundaries.
The team handles routine appointment changes and related messages manually.
The assistant handles allowed scheduling actions and sends confirmations or reminders where appropriate.
Collects information and attaches conversation history before escalation, so a team member does not have to reconstruct the customer's request.
A team member must reconstruct the request and earlier discussion.
The receiving person gets captured details, priority, and conversation history.
Configure the site, chat, text, email, and social-message channels relevant to your business, and confirm existing phone-system and CRM connections before rollout. Actions such as updating holiday hours on Google Business Profile or your website require the appropriate permissions and approved business information. Set those action boundaries during onboarding.
CRM records, local visibility work, and your website can complement the support workflow, but confirm the exact vendor connections and channel coverage your team will use. Different locations may need their own knowledge, contact details, and escalation rules.
Setup begins with the actual customer channels and reference content the business needs. The workflow includes launching a first version for review, then defining what the assistant may handle and what always needs escalation. Location-specific knowledge and urgency thresholds should match the team operating that location. Existing phone or CRM connections need confirmation, and identity wording can be configured to identify the assistant as AI.
Supported channels and existing-stack connections require confirmation; phone and CRM connections depend on the systems and channels in the setup.
The assistant needs accurate business reference content and owner-defined boundaries, approved information, and appropriate permissions.
Complex requests require people. An acknowledgement or emergency handoff does not mean service staff are immediately available, and a handoff does not approve a complex quote or promise a dispatch.
Setup time and staffing savings vary with scope.
Review applicable security controls, permissions, and data settings before going live; no universal certification or privacy guarantee is established.
Natural wording does not guarantee that a customer will believe a reply was written by a person.
Language options, including bilingual responses, should be confirmed during onboarding.
Intake distinguishes scheduling, billing, general support, and emergency requests while considering tone, urgency, and previous messages. That matters when a customer's latest message refers to an earlier appointment or question rather than starting a new conversation. The workflow includes flagging possible upsell opportunities for the owner. Classification and flags organize the team's attention; they do not give the assistant authority to promise a service or resolve every request.
The routine-resolution examples range from updating published business details to managing appointment changes and answering FAQs with consistent templates. Confirmations and reminders can accompany the action where appropriate. Standard-service quotes can be configured, but the owner must define the approved information and rules that permit them. Routine automation belongs inside those boundaries, so the business can focus human attention on questions needing judgment rather than repeatedly writing the same answers.
Emergency repairs, complex quotes, and unhappy-customer issues are requests that need human follow-up. The assistant gathers preliminary information, tags urgency, and keeps the conversation history attached to the handoff. The receiving person can then call or reply with an understanding of what was requested and what has already been discussed. A clear briefing supports continuity; it does not establish that a technician is available or a complex quote is approved.
The support dashboard shows active conversations and escalations rather than only a total number of replies. Summaries by shift and issue type help the team see what work is recurring, while alerts keep high-priority handoffs visible. Trend analysis can identify repeated questions that need better reference content or a clearer support process. The important distinction is between routine requests handled under rules and exceptions that still have an accountable human owner.
Questions
Next step
Request the free Growth Brief to measure your business's real map-search visibility, reviews, website, and competitors. Use that picture of your market to discuss whether 24/7 Support Assistant AI fits your team's work and priorities. During that conversation, confirm the relevant account connections, enabled options, and responsibilities for the workflow you want to use. The Growth Brief gives you a concrete starting point for deciding which part of your local visibility or customer follow-up needs attention.
Get your free Growth BriefWeighing your options
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