Capture requests from chat and voice
Customer questions, quote interest, booking requests, and support needs become organized work your team can see.
Spondra helps teams capture customer requests, prepare next steps, and review AI-assisted work before it reaches the customer.
Today's Command Center
Customer work, review needs, and follow-up in one place
Today's focus
Customer request
Service details need a clear next step
Review draft
Confirm the right response path
Follow-up
Send a useful customer reply
01
New request from chat and voice is summarized for the team.
02
Spondra prepares a follow-up path and asks for review on one detail.
03
A person approves the customer-facing response before send.
04
Follow-up is ready with the customer, source, and intent logged.
Inbound work
Captured
Review queue
Needs attention
Follow-up
Ready
Customer workflow visibility
Spondra helps teams capture inbound requests, understand what customers need, and keep follow-up work visible before anything falls through the cracks.
Customer questions, quote interest, booking requests, and support needs become organized work your team can see.
Spondra helps summarize the request, identify the next step, and prepare useful customer-facing drafts.
When a request needs judgment, approval, or missing details, it can move to a person before the customer receives a response.
Open items, follow-ups, review needs, and handled work stay visible so the team knows what happened next.
From request to follow-up
Spondra turns messy customer activity into organized next steps, practical drafts, and review moments your team can trust.
A customer asks about pricing, availability, service details, or a next step.
Spondra captures the context from chat, voice, or form activity.
Intent is labeled as sales, booking, quote, support, or follow-up.
A practical draft, task, or scheduling next step is prepared for the team.
Uncertain or customer-facing work is routed through human review.
The customer receives a clearer response and the team gets visibility.
Human review control room
Spondra can draft and organize, while your team keeps approvals, uncertain answers, and customer-facing follow-ups in one place.
Review Tasks
Customer actions and answer improvements
Team review
PendingCustomer-facing draft needs one detail confirmed before reply.
Customer action
In reviewScheduling response is drafted and waiting on availability check.
Improve AI Answers
ResolvedFAQ answer improved after a low-confidence handoff.
Opportunities and follow-up
Sales inquiries, booking requests, and quote questions stay visible with source, intent, stage, and follow-up needs.
Opportunities
Sample data from public marketing visuals
| Opportunity | Intent | Source | Stage |
|---|---|---|---|
| Backyard project estimate | Sales inquiry | Chat | In review |
| Service visit availability | Booking request | Voice | Complete |
| Commercial cleaning scope | Quote request | Form | Follow-up needed |
Usage and visibility
Inbound chats, calls, requests, follow-ups, and review items become visible activity your team can inspect over time.
Activity flow
Example activity preview
Website chat
New service question
Voice call
Missed-call details
Quote interest
Scope request
Booking request
Availability needed
Requests captured
Captured
Conversations started
Visible
Follow-ups prepared
Ready
Review items surfaced
Review
Activity trend
Inbound work becoming visible
Peak captured
52 Fri
Follow-ups
34 Fri
Review items
14 Fri
| Day | Captured | Follow-ups | Review items |
|---|---|---|---|
| Mon | 18 | 9 | 4 |
| Tue | 26 | 14 | 6 |
| Wed | 31 | 19 | 8 |
| Thu | 44 | 27 | 11 |
| Fri | 52 | 34 | 14 |
Trust by design
Spondra is built around practical workflows, visible handoffs, and human control for the moments that need judgment.
The goal is not to hide work behind AI. It is to make repetitive work easier to handle while keeping people in control.
Customer-facing drafts can be reviewed before they go out, especially when the work affects quotes, scheduling, or expectations.
Answers can be shaped around business-approved knowledge, service details, and clear operating rules.
When a request is uncertain, Spondra routes it to the team instead of pretending the answer is obvious.
Messaging is designed to be useful and measured, with customer context visible before follow-up.
Product walkthrough
This fictional walkthrough shows how Spondra captures an inbound request, prepares the next step, and makes the work visible for a team review.
Customer request workflow
Fictional demo data - AI prepares the work, people approve it
Inbound conversation
Customer message
"Hi, I'd like help getting a quote and figuring out the next step."
Captured request
Work stays visible
No auto-sendPrepared summary
Draft readyCustomer is asking for pricing help and a clear next step. Recommended response: acknowledge the request, confirm missing details, and offer a review time.
Recommendation
Ask for the missing details before sending a quote.
Review panel
Draft response
Thanks for reaching out. We can help with a quote. Could you share the project details you want reviewed?
Step 1 of 4
Inbound customer request
Start with one workflow
Start with one workflow. Keep people in control. Improve from there.
Map the workflow
Prepare the next step
Route review where needed
Measure what happened