Offer 24/7 voice support, powered by Dynapt Voice AI. Slash ticket volume and response times while creating high-margin AI service offerings.
Client Support Call
Live conversation
Hi, I need to reset my password.
Sure. I'll verify your identity and send you a secure reset link. What's your email address?
Never miss a client call with always-on voice support
Zero wait time for your clients' support needs
Handle unlimited concurrent support calls
Transform your operations and client services with AI agents that integrate seamlessly with your existing tools.
MSPs face mounting costs and missed SLAs from Tier-1 tickets like password resets and connectivity issues.
Dynapt Voice AI handles these calls end-to-end. It authenticates users, retrieves KB answers, runs scripts via RMM, and closes tickets automatically.
Integrated with ITSM (e.g., ConnectWise, Autotask), RMMs, and voice platforms. Built using custom-trained LLMs with guardrails and audit logs.
Up to 68% ticket deflection (Moveworks/Equinix Case Study)
Up to 90% cost savings on ticket handling (Aisera Claim)
24/7 SLA coverage without full human staffing
Sample Conversation
Tier-1 Support Scenario
Hi, I need to reset my password.
Sure. I'll verify your identity and send you a secure reset link. What's your email address?
It's jane.doe@company.com
Thanks Jane. I've sent a reset link to your email. Would you like me to check if you have any other pending IT requests while you're on the line?
Sample Conversation
Escalation Triage Scenario
My server's down, nothing is loading.
I'm escalating this to your primary engineer now. Before I do, is this affecting just you or your whole team?
The whole team - about 15 people can't access anything.
Understood. I've notified your engineer with high priority and included this context. They'll call you within 5 minutes.
Human agents waste time gathering context and triaging urgent calls, delaying critical incident response.
Voice AI handles intake questions, performs sentiment analysis to gauge urgency, and auto-categorizes tickets for fast, smart handoff to Tier-2/3 support.
Integrates with existing call routing tools (e.g., IVR) and PSA/ITSM. Supports custom escalation trees and auto-summary generation for seamless handoffs.
Reduce escalation time by 60%+ (Derived from SOC AI assistant benefits)
Improved accuracy in routing to correct teams
Better user experience during stressful outages
MSPs struggle with scattered documentation and siloed knowledge, leading to wasted engineer time and inconsistent support.
Leverage Generative AI trained on your MSP's internal wikis, SOPs, past tickets, and client documentation. This AI assistant provides instant, context-aware answers to technical questions and summarizes complex documents.
Utilizes Retrieval-Augmented Generation (RAG) with vector databases (e.g., Pinecone, Azure Cognitive Search) and LLMs (e.g., GPT-4 via Azure/OpenAI). Integrates with SharePoint, Confluence, ITSM data. Requires data indexing and access controls.
Significant reduction in engineer search time & escalations
Accelerated issue resolution and project delivery
Faster onboarding & improved service consistency
Sample Interaction
Engineer Knowledge Query
How do we configure MFA for Client X's Azure tenant using conditional access policies?
Based on SOP-AZ-MFA-003 and Client X's notes: 1. Create a CA policy targeting 'All Users'. 2. Exclude the break-glass admin account. 3. Target 'All Cloud Apps'. 4. Under Grant controls, select 'Require multi-factor authentication'. See full details in the SOP document [link].
Perfect, thanks!
Sample Interaction
Script Generation Scenario
Generate a PowerShell script to find all Windows servers with less than 10% free disk space on C: drive across all clients.
Okay, here's a script using the RMM agent's PowerShell module. It queries disk space and filters servers where C: free space is below 10%. [Code snippet shown]... Please review and test carefully before running across all clients.
Looks good. Add a step to create a ticket for each server found.
Done. I've added the `New-Ticket` cmdlet call within the loop. [Updated code snippet shown]. Remember to configure the PSA API key first.
Writing and debugging scripts for automation and remediation is slow and resource-intensive, hindering MSP efficiency and scalability.
Empower your engineers with an AI assistant that generates PowerShell, Bash, or Python scripts, infrastructure-as-code snippets (Terraform/ARM), and SQL queries from natural language prompts, accelerating automation and reducing errors.
Integrates with IDEs (e.g., VS Code via GitHub Copilot/CodeWhisperer) or directly within MSP platforms (e.g., ConnectWise Sidekick). Uses LLMs like Codex/GPT-4. Requires human review and governance before execution.
Reduce script writing time significantly (e.g., minutes vs hours - ConnectWise Sidekick)
Faster incident response via quicker remediation scripts
Increased automation coverage improving efficiency and scalability
SOC teams are overwhelmed by alert volume and manual investigation processes, leading to fatigue, slow incident response, and potential missed threats.
Augment your SOC analysts with AI that summarizes security alerts, correlates threat data from SIEM/EDR, explains incidents in plain language, assists with threat hunting via natural language queries, and drafts initial incident reports.
Leverages platforms like Microsoft Security Copilot or CrowdStrike Charlotte AI, or custom builds using security-focused LLMs integrated with SIEM/EDR/SOAR tools via APIs. Requires careful data handling, threat intel feeds, and human validation.
Reduce incident analysis time from hours to minutes (CrowdStrike/Microsoft Security Copilot claims)
Save 40+ analyst hours/week on detection triage (CrowdStrike Charlotte AI claim)
Improved threat detection and reduced risk exposure
Sample Interaction
SOC Alert Investigation
Summarize alert ID #12345 regarding suspicious PowerShell execution on SRV-DB01 for Client Y.
Alert #12345 summary: PowerShell executed encoded command typical of Mimikatz on SRV-DB01 (Client Y) at 02:15 UTC. Associated with user 'admin_tmp'. Correlated with failed login attempts from IP 1.2.3.4 (known malicious) 10 mins prior. Suggest isolating host and investigating user account compromise. MITRE Technique: T1003 (OS Credential Dumping).
Draft an incident report outline.
Okay, generating incident report draft for Incident #IR-2025-016 (Client Y - Credential Access): [Executive Summary Placeholder], Timeline of Events (includes alert details), Impact Assessment, Containment Steps Taken, Eradication/Recovery Plan, Lessons Learned...
Trained on IT Support Use Cases
Our models are tuned specifically for Tier-1 tickets, escalation triage, and PSA automation — not generic chatbots repurposed for MSPs.
No AI Team? No Problem.
Dynapt handles everything — from design to deployment to continuous tuning — so your team stays focused on client delivery, not model management.
Fast Time-to-Value
We deploy in weeks, not months, using pre-built voice flows and RAG pipelines. Start deflecting tickets and improving SLAs immediately.
Proactive Optimization, Always On
We monitor, fine-tune, and upgrade your AI agents behind the scenes — including model updates, fallback testing, and performance reviews.
MSP-Ready Onboarding & Support
You get plug-and-play setup, training materials for your engineers, and a dedicated Dynapt success team — no internal lift required.
From initial planning to ongoing optimization, we guide you through every step.
Identify high-value workflows for automation.
We run a collaborative discovery session to pinpoint the support scenarios (Tier-1, triage, onboarding) where Voice AI will deliver the biggest impact.
What to expect: 90-min virtual workshop, prioritized use-case matrix
Configure tone, escalation logic, and brand voice.
We customize your AI assistant’s dialogue, escalation triggers, and fallback behavior. All voice flows reflect your MSP’s brand, not ours.
What to expect: Voice tone samples, naming options, flow mapping UI
Connect your PSA, RMM, and KB systems.
We securely integrate your tech stack (e.g., ConnectWise, Autotask, ITGlue) and ingest documentation using RAG pipelines for real-time grounding.
What to expect: API key provisioning, test scripts, audit-compliant access setup
Deploy internally or with a beta client.
You’ll test the agent in a controlled environment. We monitor accuracy, handoff behavior, and user experience—then tune before public rollout.
What to expect: Pilot config, usage reports, feedback loop built-in
Launch fully supported, branded, and optimized.
Your voice agent goes live on your support line or MS Teams. We provide go-to-market kits, FAQs, and training to drive client adoption.
What to expect: Launch checklist, sales scripts, customer-facing slide deck
Track usage, improve models, expand use cases.
We monitor performance, handle updates, and optimize flows using real user interactions. You'll get monthly reports and expansion recs.
What to expect: Monthly ROI dashboards, zero maintenance on your end
These factors indicate strong potential for Voice AI impact in your organization.
Does your support team spend >25% of time on repeat tickets?
Do you use structured logic to escalate or route inbound support calls?
Do you maintain KBs or wikis with structured how-to content?
Can we access PSA, RMM, or CRM data via API for real-time resolution?
Are you receiving 30+ daily calls for IT support or NOC escalation?
Schedule a strategy session with our team to map your first AI agent, or download our MSP Voice AI Guide.