AI investigators run live diagnostics and post a cited diagnosis before a technician opens the ticket.
“This goes beyond anything I have seen.” They’re building exactly where MSPs are feeling the pressure: how to adopt AI in a way that’s useful, safe, and operationally real.
Counted from one real ticket · the mail run above.
This is the diagnostic intelligence that senior engineers produce after deep investigation. FlowMind produces it at ticket creation. This is transformational.
Three of the nine kinds of ticket FlowMind investigates. For each: the consoles a technician no longer opens, what FlowMind runs instead, and what the ticket opens with.
See all use cases Cross-domain, Google Workspace, Intake Navigator, service requests, onboarding and password reset, in the same shape.
Triage tools read the ticket and organize it. Workflow engines run a fix you already wrote. Neither one investigates a ticket whose cause is unknown. That is the work your senior technicians still do by hand.
reads the ticket text, the KB, closed tickets
runs a recipe that already exists
Tickets with a known fix belong in a workflow. Tickets whose cause is unknown have to be investigated before anyone can fix anything.
The fix is known. It can be automated.
Best fit: workflow automation
The fix is not yet known. Someone has to investigate first.
Best fit: FlowMind investigation
AI assist in your PSA summarizes the ticket, suggests articles and lists steps to try. Every one of those steps is still a login, a lookup and a wait, and a technician still does it.
#4628xx · Mail keeps going to spam
Outbound mail from the client’s domain is landing in recipients’ junk folders since last week; nothing changed on their end.
Medium · Queue: Service Desk
Why email goes to spam
SPF, DKIM and DMARC basics
#4581xx · closed 07-02
#4490xx · closed 05-19
1. Check the SPF record 2. Verify DKIM is enabled 3. Ask the user for message headers
A fleet of specialized AI investigators, one per system, dispatched by an orchestrator. The ticket goes in; a cited diagnosis and a note come back on the same ticket.
Technicians never log in to FlowMind. A ticket lands in the PSA; the diagnosis comes back as a note on the same ticket, with a link to the full evidence report.
Evidence collection never changes a customer environment. Anything that changes anything waits for a technician’s approval, every time.
Investigators gather the evidence. An orchestration layer decides which ones to run and keeps them honest. An intelligence layer turns the findings into a diagnosis.
One investigator per system. Each runs that system’s diagnostics against live state.
Classifies the ticket, plans the checks, dispatches the investigators.
Synthesizes every finding, correlates, diagnoses and recommends, in the ticket.
Every investigator speaks its vendor’s API and knows which checks matter for which symptom. The two totals below are generated from the running catalog.
It reads the ticket, chooses the checks and runs the investigators in sequence, inside a harness built for vendor APIs that time out, throttle and fail.
Every finding lands in one picture. When two sources disagree, that disagreement is usually the diagnosis.
The same engine runs at the other moments of the service loop: the call, the reset, the alert board.
Approval-gated. Nine checks first.
The right question, live signals, one-click ticket.
The same intake, by voice.
Repeats grouped. One digest a week.
Our forward-deployed engineers build new workflow automations for you.
The value dashboard credits time per ticket from your own baselines and rates, and shows its arithmetic.
Technician minutes spent gathering evidence before and after FlowMind.
→ Hours Saved
How many endpoints each technician can carry when the investigation arrives with the ticket.
→ Endpoints / Technician
Your baseline. Your rates. Your tickets.
| Customer | Tickets | Hours |
|---|---|---|
| Northwind Legal | 168 | 54 |
| Harbor Dental | 139 | 47 |
| Summit Logistics | 105 | 37 |
| All customers | 412 | 138 |
Credited minutes = baseline − measured duration, per ticket. Baselines are configured per tenant.
FlowMind connects to the systems you already run through their APIs and works inside the PSA your technicians already use.
Every probe reads. Every evidence line carries a timestamp and the system it came from.
A password reset runs only after a technician approves it, after its preflight checks pass.
No FlowMind login for technicians. The note lands on the ticket in ConnectWise, Autotask or Halo, with a link to the full report.
Per-tenant credentials and rate-limit buckets. One client’s investigation never touches another’s.
Triage assistants such as ConnectWise zofiQ, Kaseya Cooper, Halo AI and Thread read the ticket and organize it: a summary, a priority, similar tickets, suggested steps. FlowMind runs the checks those steps describe, against the client’s live systems, and posts what it found. One question separates the two: when a tool cites something, is it citing the ticket text, the knowledge base, or a check it ran a minute ago?
A workflow runs a fix you already wrote for a ticket you already understand. An unknown ticket has no recipe: the next check depends on what the first check returned. FlowMind plans the checks per ticket, runs them in sequence and revises the plan on the findings. Workflow engines are the right tool for tickets with a known fix, and FlowMind’s notes tell you which kind of ticket you have.
Their own sites list what they execute: password resets, account unlocks, onboarding and offboarding, mailbox and group access, endpoint scripts. That is known work with a known fix. FlowMind’s job starts where that list ends, on the ticket nobody pre-modeled.
You would be building 13 investigators speaking 13 vendor APIs, 301 diagnostic probes, a harness for timeouts, throttling, retries and tenant isolation, and an intelligence layer that decides what to post and when to stay silent. Then you would keep all of it current as each vendor’s API changes. FlowMind is that build, already graded on thousands of live tickets.
It reads. Evidence collection is read-only. Anything that changes anything, such as a password reset, waits for a technician’s approval. Every evidence line in a note carries a timestamp and the system it came from, so a technician can check the check.
A note is posted only when it would change a technician’s next action. In one 30-day window at a live customer the value gate withheld 350 notes, with zero load-bearing false positives. Each note separates what was found, what worked before on your own closed tickets, and what could not be verified.
Your RMM and the Meraki or Microsoft 365 consoles each show their own silo, and technicians keep them. FlowMind uses them as evidence sources, correlates across them and posts one diagnosis to the ticket, so nobody has to open four consoles before the first useful sentence.
A scoped, read-only pilot on real tickets. Connect your systems read-only, observe a ticket cohort, review the findings together. Technicians never log in to FlowMind; the diagnosis arrives as a note on the ticket in ConnectWise, Autotask or Halo.
Start with a scoped, read-only pilot on real tickets. Measure the evidence quality and operational value before expanding coverage.
No new tools. No new training. No commitment.
