Start with approved knowledge
Add the product articles, policies, troubleshooting steps, and response rules your team already trusts.
AI-assisted SaaS support with human approval
Resolve support tickets faster. Reply with confidence.
Connect your existing support through an embeddable widget or email forwarding. AppsResolve researches your documentation and previous tickets to prepare accurate draft replies for your team to review, edit, and approve before anything is sent.
14 days and up to 50 successfully AI-processed tickets. No card. No automatic replies.
The pilot starts when AppsResolve successfully processes the first ticket. You can begin with representative requests before moving live customer traffic.
Find us on
Fictional product previewNeeds review
Cannot sign in after password reset
Ticket #1042 · Email · Created Jul 22, 2026
Category: Account and loginPriority: NormalRisk: Low risk
Suggested response
Hi Alex, The password reset appears to have worked because you can sign in on your phone. Chrome may still be holding the previous session. Step 1: Open the app in a private Chrome window and sign in again. Step 2: If that works, clear the saved site data for the app.
Request more infoApprove & send
Sources used for this reply
- Current customer conversation
- Client documentation found
- No similar resolved tickets found
Session reset guide
Updated 6 days ago · Confidence: High
“Use a private window to test for a stale session.”
Current conversation and approved documentation cited. External sources were not searched.
Inspect the sources and reviewer decisionsRepresentative static preview, not a live AI response.
Human-approvedA person initiates every send
Knowledge-groundedBuilt from sources you approve
Tenant-isolatedOrganization data stays scoped
Safe to evaluateNo card and no live inbox required
Recorded product proof
Watch the real workflow from setup to human review
See the current AppsResolve onboarding, ticket reply, sources panel, and widget surfaces using a fictional workspace. The recording shows the product without implying a customer result.
Recorded from the real AppsResolve setup, review, and widget surfaces with fictional data. Includes spoken narration. No customer request was submitted or sent.
Read the walkthrough transcript
- Guided onboarding. A fictional Northstar SaaS workspace starts with explore, connect, knowledge, test, review, and go-live steps.
- Sample workspace. Reviewers can practice approving a fictional ticket before connecting live intake.
- Widget connection. The website widget installs with one organization-specific embed and clear verification steps.
- Email connection. The team can connect the support address customers already use and verify forwarding before launch.
- Optional knowledge. Approved articles improve drafts, but setup can continue before the knowledge base is complete.
- Human review. Every request opens in the ticket reply workspace with category, priority, and risk context.
- Sources used for this reply. Reviewers can inspect citations, excerpts, freshness, and what was used in the draft before approving.
- Safe examples. Previous tickets stay labeled as examples and never become authoritative knowledge automatically.
- Review analytics. Acceptance, edit distance, time to send, reopens, correction reasons, and source issues reveal where the workflow needs improvement.
- Mobile review. The reply composer and sources panel remain readable on mobile.
- Customer self-service. Customers can search approved help content and escalate unresolved questions through the widget.
Try the review decision
Work through three realistic support scenarios
Switch between a login issue, an API problem, and a suspected product bug. The scenarios are fictional. Actions do not send email or create a ticket.
Interactive example loads as you approach it.
The support bottleneck
The answer is often documented. Finding and shaping it is the slow part.
A technical answer may be spread across a help article, an internal instruction, a policy, and the customer's current ticket thread.
AppsResolve gathers the approved context and prepares the response. Your team still checks whether it fits this customer and this moment.
One controlled workflow
From approved knowledge to a customer-ready decision
AI handles the repetitive preparation. A person remains responsible for accuracy, judgment, and every send.
Get a reviewable draft
AppsResolve prepares a response from the current conversation and approved knowledge. Relevant prior tickets can appear as examples, but they are never authoritative citations unless a human promotes the answer into approved knowledge.
Review, decide, and send
A person checks source versions, freshness, excerpts, and conflicts, then edits, asks for information, or escalates. Corrections can be tagged without silently training future drafts.
Practical support outcomes
Spend less effort rebuilding the same support work
AppsResolve helps a small team begin each decision with organized evidence and a useful first draft. Results still depend on your knowledge, ticket context, and review process.
Begin with the relevant context
Open a ticket with a prepared summary, matching knowledge, and the details that may still be missing.
Stop rewriting routine steps
Turn approved troubleshooting instructions into a complete first draft that your reviewer can refine.
Escalate technical issues cleanly
Organize the environment, reproduction details, expected result, actual result, and evidence for engineering review.
See where knowledge is thin
Repeated questions and low-confidence drafts can point to articles or instructions that need attention.
Built around human judgment
AI does the preparation. People own the decision.
AppsResolve is a review workflow for technical support, not an autonomous agent that speaks for your company.
Fast, repeatable support work
- Search approved product knowledge
- Summarize the current ticket thread
- Organize troubleshooting steps
- Prepare a response draft
- Show cited evidence, excerpts, and uncertainty
Context, judgment, and customer trust
- Check the answer against customer context
- Decide whether more information is needed
- Adjust tone and account-specific details
- Escalate sensitive or uncertain issues
- Initiate every customer send
A more useful knowledge loop
A reviewed ticket can make the next answer easier
Support conversations expose missing, outdated, or unclear guidance. AppsResolve keeps that signal close to the ticket and review workflow.
01A customer asks a question
02The reviewer checks the prepared response
03Missing knowledge becomes visible
04An approved answer can become reusable guidance
Built for small SaaS teams
Useful when the founder or product team is still the support team
You may not need another system that promises to replace people. You may need a reliable way to search approved knowledge, prepare the first response, and keep technical issues organized.
- One queue for email and website support requests
- Sources used for each reply, with freshness, excerpts, and validated citations
- Correction reasons, safe KB update candidates, and reviewer outcome metrics
- Human review for routine and sensitive questions
- Structured escalation when the answer is not enough
Trust before access
Know who is behind the product and how support data is handled
AppsResolve is built and operated by ND SOFT LLC in Arizona, informed by 15 years in technical support and 8 years focused on application support.
Reachable operator
Product, pilot, privacy, and security questions go directly to the team building and operating AppsResolve.
About ND SOFTDocumented boundaries
Review tenant isolation, configured vendors, AI context, retention, and the platform's current compliance status.
Review securityVisible service status
Check the public status page for current availability information instead of relying on a vague reliability claim.
View system statusCurrent self-service pricing
Choose capacity after you have tested the review workflow
Every plan includes the same human-approved workflow. Choose based on monthly AI-processed ticket capacity and the current reporting and onboarding options.
Founder
For founders and small SaaS teams organizing a technical support queue.
$39 / month
- 300 AI-processed tickets per month
- Queue, category, confidence, and usage reporting
- Self-guided setup
- Included
Growth
For growing SaaS teams with a busier technical queue.
$99 / month
- 1,000 AI-processed tickets per month
- Queue, category, confidence, usage, and knowledge-gap reporting
- Guided configuration review
- Included
Scale
For established SaaS teams that need more monthly processing capacity.
$159 / month
- 2,000 AI-processed tickets per month
- Full current reporting and export by request
- Priority configuration review
- Included
Included tickets reset each Stripe billing period and do not roll over. Paid plans have a temporary 10% continuity buffer before automatic processing pauses. The buffer is not published capacity or a paid overage. No automatic overage charge applies.
Need more than software?
Need someone to help manage the queue?
Bring in an application support specialist. AppsResolve can help operate an agreed support scope, review prepared responses, investigate technical issues, improve reusable knowledge, and prepare developer escalations.
Support hours, responsibilities, access, response expectations, and pricing are scoped before launch. Custom scope and pricing.
Before you start
Frequently asked questions
Direct answers about AI processing, review, knowledge, and the company behind AppsResolve.
What is AppsResolve?
AppsResolve is an AI-assisted application support inbox and review workflow for technical SaaS support. It prepares ticket analysis and drafts while keeping a person responsible for every customer response.
Does AI send customer replies automatically?
No. AI prepares the analysis and first draft. A person edits or approves the response before it is sent.
What is an AI-processed ticket?
It is a ticket for which AppsResolve performs the automated analysis and draft workflow. Manual replies and draft regeneration are not counted as new inbound tickets.
How does AppsResolve use my documentation?
Approved articles are searched for relevant context. Sources used for this reply separates validated citations from supplied context, snapshots version and freshness, warns about conflicts, and links to the exact article. Prior tickets are examples only until a human promotes a stable answer into approved knowledge.
What happens when confidence is low?
The ticket is highlighted for closer attention. The reviewer can request more information, edit the draft, escalate the issue, or add missing knowledge.
Who is behind AppsResolve?
AppsResolve is built and operated by ND SOFT LLC in Arizona, drawing on 15 years of technical support experience and 8 years focused on application support.
Start with your own support questions
See what AppsResolve prepares before you change your support process.
Open a tenant-isolated workspace, add approved knowledge, and process representative tickets. Review the drafts yourself before deciding what comes next.
14 days and up to 50 successfully AI-processed tickets. No card. No automatic replies.