It's 6:00 AM. The QBR deck is already built.
You have quarterly business reviews with 3 clients this week. Your TabTab agent pulled each client's ticket volume, SLA compliance, asset inventory changes, and security incident log from your PSA and RMM tools overnight. It generated a branded slide deck for each client with trend charts, a risk summary, and three recommended improvements with estimated costs. Your vCIO reviews the decks over coffee instead of spending 4 hours building them from scratch.
The problems we eliminate.
Tickets pile up without triage — everything looks P1 to the client
AI categorizes, prioritizes, and routes tickets by urgency, client tier, and tech skillset within 90 seconds of submission
Client status updates are manual — 'any update on my ticket?'
Agent sends proactive updates at configurable intervals. Escalates SLA breaches 30 minutes before they happen, not after.
Recurring issues aren't tracked — same problem, different ticket, every month
Pattern detector identifies repeat issues across clients and devices. Surfaces systemic problems for root cause analysis.
Monthly reporting eats hours — pulling data from 5 different tools
Agent generates client-facing reports with SLA metrics, resolution times, trend analysis, and proactive recommendations.
Onboarding new clients takes weeks of configuration
Onboarding agent runs standard setup checklists, verifies configurations, and documents environment details for future ticket context.
Knowledge base is outdated — techs solve the same problems from scratch
Resolution agent captures solutions from closed tickets, suggests relevant articles for open tickets, and flags stale documentation.
From intake to outcome.
Ticket submitted
Client reports issue via email, portal, or phone. AI categorizes by type, assigns priority by impact and client tier, and routes to the right tech queue.
Diagnosis & context
Tech receives ticket with device history, recent changes, and similar past resolutions. Knowledge base articles surfaced automatically.
Resolution & documentation
Fix applied and verified. Resolution documented and fed back into knowledge base. Similar open tickets flagged for batch resolution.
Report & improve
Monthly: SLA reports generated per client. Quarterly: trend analysis surfaces recurring issues. Proactive recommendations sent to client stakeholders.
17+ agents for MSP & IT Services.
Every node below is an agent that runs on your TabTab hardware. Click a department or agent for details.
Scores inbound MSP leads by employee count, tech stack, and budget.
Builds service proposals from assessment data with tiered pricing.
Contacts clients 90 days before expiration with updated terms.
Every agent above is buildable with a TabTab installation. Your 3-hour Bench onboarding gets you the first 6 agents. The community ships the rest.
Industry-specific intelligence.
SLA breach prevention
Monitors every ticket against SLA thresholds. Escalates 30 minutes before breach, not after. Tracks SLA performance by tech, client, and issue type.
Pattern detection engine
Identifies recurring issues by client, device type, and error signature. 'Client X has had 4 printer issues in 6 weeks' triggers a proactive investigation.
Client environment profiles
Maintains detailed environment documentation per client: network topology, device inventory, software stack, and known issues. Techs have context before they start.
Auto-resolution for common issues
For known issues with verified fixes (password resets, drive mappings, printer reconnections), AI applies the fix and notifies the user — zero tech time.
Ready to automate msp & it services?
17+ agents across 5 departments — configured, tested, and trained for your specific operation. One price. Full ownership. No monthly platform fees.