Practical AI for real business workflows

Unlock the power of AI for your business.

Spondra helps teams capture customer requests, prepare next steps, and review AI-assisted work before it reaches the customer.

Lead response
Customer follow-up
Workflow orchestration

Today's Command Center

Customer work, review needs, and follow-up in one place

Last 30 daysUpdated now

Today's focus

Move requests to clear next steps.

Live

Customer request

Service details need a clear next step

Review draft

Confirm the right response path

Follow-up

Send a useful customer reply

01

Captured request

Sales inquiry

New request from chat and voice is summarized for the team.

02

Suggested next step

Draft ready

Spondra prepares a follow-up path and asks for review on one detail.

03

Human review

Needs review

A person approves the customer-facing response before send.

04

Follow-up ready

Ready

Follow-up is ready with the customer, source, and intent logged.

Inbound work

Captured

Review queue

Needs attention

Follow-up

Ready

Customer workflow visibility

Turn customer activity into clear next steps.

Spondra helps teams capture inbound requests, understand what customers need, and keep follow-up work visible before anything falls through the cracks.

Captured

Capture requests from chat and voice

Customer questions, quote interest, booking requests, and support needs become organized work your team can see.

Follow-up

Prepare clearer follow-up

Spondra helps summarize the request, identify the next step, and prepare useful customer-facing drafts.

Needs review

Route review where needed

When a request needs judgment, approval, or missing details, it can move to a person before the customer receives a response.

Ready

Track what still needs attention

Open items, follow-ups, review needs, and handled work stay visible so the team knows what happened next.

From request to follow-up

A calmer way to move customer work through the business.

Spondra turns messy customer activity into organized next steps, practical drafts, and review moments your team can trust.

  1. 01Request

    Customer asks

    A customer asks about pricing, availability, service details, or a next step.

  2. 02Captured

    Work is organized

    Spondra captures the context from chat, voice, or form activity.

  3. 03Identified

    Intent is clear

    Intent is labeled as sales, booking, quote, support, or follow-up.

  4. 04Drafted

    Next step prepared

    A practical draft, task, or scheduling next step is prepared for the team.

  5. 05Needs review

    People stay in control

    Uncertain or customer-facing work is routed through human review.

  6. 06Logged

    Follow-up is ready

    The customer receives a clearer response and the team gets visibility.

Human review control room

Trust is easier when review is part of the AI workflow.

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

Needs attention
Customer actionsImprove AI Answers
Search review queue

Team review

Pending

Customer-facing draft needs one detail confirmed before reply.

Customer action

In review

Scheduling response is drafted and waiting on availability check.

Improve AI Answers

Resolved

FAQ answer improved after a low-confidence handoff.

Opportunities and follow-up

Turn conversations into organized business opportunities.

Sales inquiries, booking requests, and quote questions stay visible with source, intent, stage, and follow-up needs.

Opportunities

Sample data from public marketing visuals

OpenNeeds follow-upAll conversations

Backyard project estimate

In review
Sales inquiryChat

Service visit availability

Complete
Booking requestVoice

Commercial cleaning scope

Follow-up needed
Quote requestForm

Usage and visibility

See the work Spondra is handling.

Inbound chats, calls, requests, follow-ups, and review items become visible activity your team can inspect over time.

Activity flow

Example activity preview

Visible over time

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

Sample activity

Peak captured

52 Fri

Follow-ups

34 Fri

Review items

14 Fri

CapturedFollow-upsReview items
Sample weekday activity trend showing captured requests, follow-ups, and review items.
DayCapturedFollow-upsReview items
Mon1894
Tue26146
Wed31198
Thu442711
Fri523414

Trust by design

Useful AI should feel inspectable, not mysterious.

Spondra is built around practical workflows, visible handoffs, and human control for the moments that need judgment.

Not a black box

Your team can see the request, the suggested next step, and the review state.

The goal is not to hide work behind AI. It is to make repetitive work easier to handle while keeping people in control.

01

Human review where it matters

Customer-facing drafts can be reviewed before they go out, especially when the work affects quotes, scheduling, or expectations.

02

Grounded in the business

Answers can be shaped around business-approved knowledge, service details, and clear operating rules.

03

Clear handoffs

When a request is uncertain, Spondra routes it to the team instead of pretending the answer is obvious.

04

Customer-safe communication

Messaging is designed to be useful and measured, with customer context visible before follow-up.

Product walkthrough

Watch a customer request move from conversation to review.

This fictional walkthrough shows how Spondra captures an inbound request, prepares the next step, and makes the work visible for a team review.

Fictional product walkthrough. Step 1: a customer writes, "Hi, I'd like help getting a quote and figuring out the next step." Step 2: Spondra captures the request as quote request, new customer, and needs follow-up. Step 3: Spondra prepares a summary that recommends acknowledging the request, confirming missing details, and offering a review time. Step 4: the team reviews, edits, and approves before sending.
Showing step 1 of 4: Inbound customer request. A fictional customer asks for help getting a quote and understanding the next step.

Customer request workflow

Fictional demo data - AI prepares the work, people approve it

Review required

Inbound conversation

Website chat

Demo request

Customer message

"Hi, I'd like help getting a quote and figuring out the next step."

Captured request

Quote requestNew customerNeeds follow-up

Work stays visible

No auto-send

Prepared summary

Draft ready

Customer 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

Ready for team review

Needs approval

Draft response

Thanks for reaching out. We can help with a quote. Could you share the project details you want reviewed?

ApproveEditSend later

Step 1 of 4

Inbound customer request

Start with one workflow

Build practical AI into the workflows your team already runs.

Start with one workflow. Keep people in control. Improve from there.

01

Map the workflow

02

Prepare the next step

03

Route review where needed

04

Measure what happened