AI QBR Generator
Product brief — ranked #1 buildable opportunity from MSP pain points analysis
May 25, 2026
Pain: 10/10 · Feasibility: 8/10 · MVP: 2-3 months
The problem
Every quarter, MSPs spend 3-8 hours per client building QBR decks by hand. The work is not strategy — it is data archaeology.
20-40
hrs/mo spent on QBR prep across a typical MSP
3-8
hours per QBR, per client
0
existing tools that do this well
The process is the same every time: log into the PSA, export ticket volume and resolution times. Switch to the RMM, pull device health and patching stats. Open the billing system, reconcile hours against the agreement. Copy everything into a slide deck. Repeat for every client.
By the time the deck is done, there is no energy left to actually analyze what the data means. The QBR becomes a report, not a conversation.
The real cost is not the hours. It is the strategic work that never happens because the deck ate the time.
What the product does
One-click QBR decks compiled automatically from the systems the MSP already uses.
Core features
- Auto-pull from PSA. Ticket volume, resolution times, SLA compliance, backlog trends — pulled directly from ConnectWise, Autotask, or HaloPSA.
- Auto-pull from RMM. Device health scores, patch compliance, alert volume, endpoint coverage from Datto RMM, N-central, or NinjaOne.
- Auto-pull from billing. Hours logged vs. agreement limits, project burn, overage warnings from QuickBooks, Xero, or the PSA itself.
- Pre-built slide templates. Clean, client-ready decks with executive summary, SLA performance, security posture, project status, and recommendations.
- AI-written narrative. Turns raw metrics into plain-language insights: "Ticket volume dropped 22% after the new firewall rule. Patch compliance is at 94%, up from 81%."
- White-label ready. Drops the MSP logo, colors, and custom domain into every deck.
How the workflow looks
- Connect. OAuth into PSA, RMM, and billing. Read-only scopes. No migration. Five minutes.
- Pick a client and quarter. The tool auto-detects active clients and date ranges.
- Review the draft. AI-generated narrative + charts. Edit anything inline.
- Export. PDF, PowerPoint, or present from the browser. Send to the client or present live.
What it does not do
- Replace the PSA or RMM. It reads, it does not manage.
- Require months of setup. Connections are OAuth, not custom integrations.
- Write strategy for you. It surfaces the data so you can think, not substitutes for that thinking.
Who it is for
MSPs with 10-200 clients who run quarterly business reviews and currently build decks manually.
Ideal customer profile:
- 5-50 technical staff
- Already uses a PSA (ConnectWise, Autotask, HaloPSA) and an RMM
- Has "quarterly reviews" in the contract but struggles to deliver them consistently
- Willing to pay $79-149/mo to reclaim 20-40 hours of non-billable time
Larger MSPs with dedicated account managers already have BI tools or internal analysts. Smaller one-person shops do not run formal QBRs. The sweet spot is the middle: big enough to have a process, small enough that the process still hurts.
Why this wins
No existing tool closes this gap
Rewst can automate workflows but does not generate client-facing decks. Pia handles identity, not reporting. IT Glue stores documentation, it does not narrate it. Every existing tool touches one system. None of them assemble the full picture into something a client can read.
Pain is concentrated and measurable
3-8 hours per QBR is not vague frustration. It is a number every operations manager can calculate. Multiply by client count and the ROI is obvious within one billing cycle.
Feasibility is high
All data sources have APIs. OAuth connections are standard. The hard part is not integration — it is presentation. Building clean slide output from structured data is a solved engineering problem. The moat is speed to market and template quality, not proprietary tech.
Expansion path is clear
Start with QBRs, then add monthly health reports, onboarding summaries, incident postmortems, and executive dashboards. The same data pipes serve every use case.
Business model
$79
Starter — 5 clients, basic templates
$149
Pro — unlimited clients, custom branding, API access
$299
Team — multi-user, SSO, priority integrations
Pricing is per-MSP, not per-client. The value is time saved, not report volume. Annual billing with two months free. No free tier — the ICP has budget and the problem is urgent enough to pay for.
Risks and mitigations
API fragility. PSAs change endpoints. Mitigation: build adapters as thin wrappers, monitor PSA changelogs, offer fallback manual CSV upload.
Data accuracy paranoia. MSPs will not present wrong numbers to clients. Mitigation: show raw data alongside summaries, let users override any figure, add an audit trail.
Template fatigue. Every deck looks the same after three quarters. Mitigation: ship new templates quarterly, allow custom sections, let power users build their own.
Probable next task items
- Validate demand. Post a poll on r/msp: "How many hours does your team spend on QBR prep per client? Would you pay $99/mo for auto-generated decks?" Do not build until you have 20+ responses.
- Pick the first PSA. ConnectWise has the largest MSP install base. Build the ConnectWise adapter first, then HaloPSA, then Autotask.
- Build a one-client demo. Hardcode one real or realistic client dataset. Generate one QBR deck. Show it to three MSP owners. Record their reactions.
- Define the template system. Decide between static PPTX generation (python-pptx, Slidev) or a web-based presentation layer (reveal.js, custom canvas). Web is faster to iterate. PPTX is what clients expect.
- Register a landing page domain. qbrkit.com or similar. One page, one screenshot, one price, one signup form. Use it to collect waitlist emails while building.
- Scope the AI narrative layer. GPT-4 class models can narrate metric changes well at low cost. But decide: does the narrative run server-side or in the browser? Server-side is cheaper to secure, browser-side is faster to iterate.
- Plan the RMM integration. Datto RMM and NinjaOne have REST APIs. N-central is SOAP. Datto first, then NinjaOne. N-central can wait.