Autonomous AI Agent Swarm for MSP Service Desk Automation.
Transforming ticket management for the $8B managed services market.
Technicians spend 15-30 minutes every day reading, classifying, and re-writing poorly formatted tickets before any real work begins.
Manual ticket categorisation varies 30-40% between technicians, making reporting unreliable and trend analysis impossible.
Priority mismatches and stale tickets slip through cracks, causing SLA breaches that erode client trust and trigger financial penalties.
Service desk managers lack real-time intelligence, making reactive decisions instead of proactively managing capacity and workload.
Sensitive data (passwords, credit cards, API keys) submitted in tickets goes undetected, creating compliance and security risks.
Trinity isn't a single tool — it's a coordinated team of six specialised AI agents that work 24/7 to automate ticket hygiene, surface insights, and drive continuous improvement.
Each agent has a unique mission. Together, they transform service desk operations.
Every new ticket is automatically processed through a multi-stage AI pipeline that delivers a fully triaged, classified, and enriched ticket to technicians.
Transforms rambling emails into clear, structured summaries in Australian English. Preserves original text and all technical details (error codes, IPs, file paths) with zero data loss.
Assigns Issue Type and Sub-Issue Type from the customer's own Autotask taxonomy. Uses a tiered confidence system (HIGH/MEDIUM/LOW) — only classifies when confident.
Detects urgency signals ("server down", "all users affected") and intelligently adjusts priority. Distinguishes scope (critical vs. high) to prevent alarm fatigue.
Neo searches 180 days of resolved tickets for proven fixes, ranks them by confidence score, and adds actionable suggestions directly to the ticket as internal notes.
Detects passwords, credit card numbers, API keys, Medicare numbers, and other PII. Immediately flags for human review without modifying potentially sensitive content.
Identifies misrouted tickets by analysing email signatures and descriptions. Automatically reassigns to the correct company and contact in Autotask.
The global MSP market is expanding rapidly, driven by small-to-medium businesses outsourcing IT. Every MSP running a PSA platform is a potential customer.
GPT-4o-class models now deliver the accuracy and speed needed for production ticket processing at viable cost points.
Growing MSPs face scaling pressure — they need automation to handle ticket volume without proportional headcount increases.
Modern PSA platforms (Autotask, ConnectWise) now offer robust REST APIs that enable deep, production-grade integration.
Three-tier subscription model with strong unit economics. Implementation fees drive early revenue, monthly subscriptions deliver predictable recurring income.
Trinity delivers measurable value from day one. The ROI is so compelling that customers typically see payback within their first 1-4 months.
| Metric | Conservative | Moderate | Aggressive |
|---|---|---|---|
| Tickets / Month | 500 | 1,000 | 2,000 |
| Time Saved / Ticket | 8 minutes | 10 minutes | 12 minutes |
| Monthly Hours Saved | 67 hours | 167 hours | 400 hours |
| Monthly Cost Savings | $3,055 | $7,638 | $18,332 |
| Annual Net Benefit | $23,375 | $78,370 | $206,690 |
| Year 1 ROI | 276% | 690% | 1,655% |
| Payback Period | 4.4 months | 1.8 months | 0.7 months |
Deep vertical integration, autonomous multi-agent architecture, and a self-improving feedback loop create durable competitive advantages.
Not a horizontal AI tool bolted onto a PSA. Trinity uses native Autotask taxonomy, picklists, and workflows. It speaks the customer's language and respects their configuration — no manual mapping required.
Six independent, specialised agents that can be deployed individually or as a swarm. Each agent is restartable, debuggable, and upgradeable without affecting the others. No single point of failure.
Oracle tracks every human correction and uses it to identify classification weaknesses. Accuracy improves over time from ~88% to 97%+ as the system learns from corrections — a compounding advantage.
Unlike rule-based systems, Trinity uses AI confidence scoring. High-confidence decisions are automated; low-confidence situations are flagged for human review. This eliminates the "garbage in, garbage out" problem.
JWT authentication with token revocation, PII detection, RBAC, audit logging, CSRF protection, rate limiting, and non-root containers. Built with security-first from day one, not bolted on.
Built on proven, modern infrastructure with containerised deployment. Minimal hardware requirements with high reliability.
Decouples AI agents from the Autotask API. This allows swapping AI models, adding new PSA integrations, or upgrading agents independently.
Each agent runs as its own process. Individual deployment, restart, and debugging without affecting the swarm. Production-grade resilience.
WebSocket-powered SPA with live agent status, metrics visualisation, and lifecycle management. Full visibility without SSH access.
| Component | Minimum | Recommended |
|---|---|---|
| CPU | 2 cores | 4+ cores |
| RAM | 4 GB | 8 GB |
| Storage | 10 GB | 50 GB SSD |
| Estimated OpenAI Cost | $50-150/month (GPT-4o-mini) | |
v1.0 is deployed and production-ready. The roadmap focuses on expanding PSA coverage, adding AI capabilities, and building a multi-tenant SaaS platform.
Direct outreach to Autotask PSA users in Australia and New Zealand. Leverage local presence and Australian English as differentiator. Target: 20 customers in 6 months.
Expand to English-speaking markets. Partner with Datto/Kaseya channel. Add ConnectWise integration to double addressable market.
Evolve into a multi-PSA AI platform. Enable custom agent marketplace. Shift from product to platform economics.
Conservative projections based on the accessible Autotask PSA market in core geographies.
| Metric | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Customers | 20 | 80 | 200 |
| Avg ARR / Customer | $14,400 | $16,200 | $18,000 |
| Annual Recurring Revenue | $288K | $1.3M | $3.6M |
| Implementation Revenue | $40K | $120K | $240K |
| Total Revenue | $328K | $1.42M | $3.84M |
| Gross Margin | 90% | 92% | 94% |
Trinity is live, production-proven, and ready to scale.
Get in touch to see it in action.