1Stream 1Stream
Platform / AI & Automation
Pillar 02 · AI & Automation

AI for the way
MSPs actually work.

Seven AI agents that know your PSA, your tickets, and your team. Plus on-call coverage that lets you sleep through the night.

Generic AI doesn't understand MSP workflows. Ours was built for them, from caller verification through ticket close-out, every agent is trained on the work your team actually does.

AI Analysis
All in real-time
Live
Identity
Bardissi Ent.
Intent
Password reset 94%
Context
5 prior tickets
Priority
P2 · High !
Route
Marcus C · Tier 2
Sentiment
Positive · 4.2 ↑
Active
02:14
BW
Bruce Wayne
Inbound · +1 518 461 9536
All written to ticket, automatically
7
AI agents
4 hrs
Saved / tech / day
100%
Configurable
24/7
On-call coverage
In short

1Stream AI & Automation includes seven AI agents purpose-built for MSP workflows: AI Attendant, Caller ID & Verification, Smart Routing, Ticket Triage, Auto-Notetaking, AI Alerting, and Signal On-Call. Each agent connects to your PSA and RMM stack, layers on top of voice and messaging, and runs independently. Mix, match, or turn any of them off at the admin level.

Why this matters

Generic AI doesn't know your stack.

Most "AI for business" tools are built on the same foundation models everyone else uses, then dressed up with a UCaaS skin. They can transcribe a call. They can summarize an email. They can't tell the difference between a critical Autotask ticket and a billing question.

1Stream's AI agents are different. Each one is purpose-built for a specific MSP workflow, trained on the patterns of how techs actually work, integrated natively with your PSA, your documentation, and your customer data.

They don't just listen to calls. They understand them.

Generic SaaS AI
  • Generic transcripts, no context
  • Doesn't know your PSA, RMM, or docs
  • You still copy-paste into the ticket
  • Built for sales calls, not support
1Stream AI
  • Verifies caller identity via PSA before connecting
  • Pulls ticket history, configurations, runbooks
  • Auto-logs time, summary, follow-ups in your PSA
  • Trained on MSP support workflows, not generic
Meet the agents

Seven AI agents. One platform.

Each agent is purpose-built for a specific MSP workflow. Use one, use them all, or use none, you decide.

01
Featured agent

AI Attendant

The first voice your callers hear. Greets them naturally, asks why they're calling, and listens carefully, no menu trees, no "press 2 for billing." Most callers don't even realize they're talking to AI until they say so.

Natural language
No phone-tree gymnastics
Skip on demand
Caller says "agent", done
02 AI Agent

Caller ID & Verification

Cross-references inbound numbers against your PSA, surfaces caller identity, ticket history, and account context. Sends PIN verification when sensitive actions are involved.

03 AI Agent

Smart Routing

Routes calls based on context, not extension. Mentions ticket #4821? Goes straight to the assigned tech. New issue? Routes to account manager. Unknown caller? Creates a ticket and dispatches.

04 AI Agent

Ticket Triage

Reads inbound issues, classifies by category and urgency, assigns priority, and dispatches to the right queue. The work that used to require a senior tech, now done before the human picks up.

05 AI Agent

Auto-Notetaking

Logs time entries, attaches recordings, summarizes the call, captures follow-ups, scores sentiment, and writes coaching notes, all directly into the ticket. Tech hangs up; ticket is already updated.

06 AI Agent

AI Alerting

Watches for SLA risks, sentiment drops, and unusual patterns, then escalates via call, text, or email. Catches the issues that would otherwise become next week's churn risk.

After-Hours On-Call
07 Signal

Signal On-Call

Phone tree alerting that escalates until someone picks up. Auto-login from your team schedule. Manager fallback. So you sleep through the night.

Full deep-dive below ↓
TechRadar · Live in beta

The first Radar product is here, and it hears your whole service desk.

Your managers can review maybe 2% of calls. TechRadar hears the other 98%: every call scored across seven quality dimensions, client risk flagged before the QBR, burnout signals surfaced before the resignation, and coaching proposals your managers approve. Follow one call through it and see.

The callScored in minutesRisk flaggedCoaching approved
Follow one call →
1Stream Signal · After-Hours On-Call

For when something breaks at 2am.

Set up your on-call rotation once. When an after-hours call comes in, Signal works through your phone tree, phone, text, email, until someone actually picks up. If they don't, it escalates automatically.

The result: your on-call tech gets reached fast, your manager gets notified the moment something falls through, and you sleep through the night.

Multi-channel reach
Phone → text → email, in your chosen order, until someone responds
Auto-escalation
Set a threshold. If on-call doesn't answer, the next person up gets pinged automatically
Manager fallback
When the entire phone tree fails, the manager (you) gets the call, never silently dropped
Drops the dropper
Tech who didn't pick up gets bumped from the queue, no more waiting on the same person twice
Schedule-aware auto login
Upload your team's queue schedule once. Signal auto logs them in at shift start, out at shift end. No more "oh I forgot to log in" at 8:03am.
2:14 AM · Critical Alert
Acme Mfg, Server down
RMM alert · Production server unreachable
JD
Jenny D · On-call tech
Phone·SMS·Email
Bumped
MC
Marcus C · Backup on-call
Answered in 18s
Engaged
Manager auto-notified that Jenny was bypassed. Logged for next 1:1.
✓ Resolved in 23 minutes · You slept through it
Configuration philosophy

AI is optional. Never forced.

Most MSPs don't run AI as a replacement. They run it as backup. You decide when AI picks up, and we'll respect whatever you choose.

Overflow when busy

Calls that would've hit voicemail get AI triage instead, issues captured, tickets created, customers acknowledged. No more "Tuesday at 11am" call disasters.

Nights & weekends

Coverage when humans are off. Urgent issues escalate via Signal to on-call; everything else queues for morning. Better than voicemail, better than no answer.

Front line, by choice

Want AI as your first responder during business hours? It's ready. But it's never the default, you turn it on when you're confident, not before.

Run the math

How much would AI save your team?

Tell us your tech count, call volume, and rate. We'll calculate exactly what AI gives back to your team, in dollars, hours, and FTE-equivalents, and email you the full report.

Run the reclaim calculator
Common concerns

The questions everyone actually asks.

We've heard them all. Real answers, not marketing speak.

"My clients won't want to talk to a robot."

Fair. Bad AI is genuinely worse than a human, we agree. But two things are true here:

First, the AI Attendant is much better than the alternative most clients face today, which is voicemail, hold music, or an IVR menu tree. Modern AI handles greeting, intake, and routing in natural language, most callers don't even realize they're talking to AI until they hear it routing them properly.

Second, you don't have to use it during business hours. The most common deployment is overflow + after-hours only, humans pick up first when techs are available, AI catches what would've fallen through the cracks otherwise. Your call, literally.

"How accurate are the AI summaries and time entries?"

Time entries are exact, pulled from the call duration, not estimated. The AI just knows when the call started and ended.

Summaries and transcripts are generated by the same foundation models that power leading enterprise AI platforms, then cross-checked against the call recording. Techs review and edit before posting if they choose, the AI fills in the draft, the human approves it (or doesn't).

In practice: most techs don't edit because the summaries are accurate enough to ship as-is. But the option is always there.

"What about data privacy and HIPAA compliance?"

Call data is processed within the 1Stream platform under our partner-tier data agreements, not shared with third-party AI vendors for training. Recordings, transcripts, and summaries stay in your tenant.

For MSPs supporting healthcare, finance, or other regulated end-clients, BAAs are available and we have specific configurations to support compliance requirements. Talk to us about your stack and we'll walk you through what applies.

"Can I turn AI off if it doesn't work?"

Yes, toggle in admin. Each agent is independent: you can run AI Attendant but skip auto-notetaking, run notetaking but skip routing, etc. Mix and match.

Plus: month-to-month contracts. If 1Stream stops earning your business, you cancel. No penalty, no fight.

"Is this going to replace my techs?"

No. It's going to give them their afternoons back.

The work AI eliminates is the work techs already hate, copy-pasting summaries into PSAs, manually logging time entries, reading back ticket numbers. Nobody got into IT to do data entry.

What's left for the humans is the actual technical problem-solving, the part of the job that's interesting, billable, and what your clients are actually paying for.

"How long does it take to set up?"

Most MSPs are running calls through 1Stream within 1-2 weeks of signing, depending on PSA complexity and porting timing. AI agents activate as part of normal onboarding; no separate "AI install" project. Our team walks you through it.

See it on your stack

See AI working in your PSA.

20 minutes. We'll show you the agents working inside your tools, with your team's data.