The BrightGauge replacement that actually tells you what to do.
Ask in plain English. Get an MSP dashboard with explainable gauges, live views, and proactive recommendations grounded in your PSA, RMM, and finance data — without writing SQL or wrestling with mappings.
- 60 sec
- from question to live gauge
- 0 SQL
- natural-language formulas
- 1 view
- service, sales & finance together
Service Operations · Live
Updated 18s ago · refreshes every 60s
Service utilization
Healthy78/100
Threshold 85
Ticket backlog health
Healthy64/100
Threshold 70
Tier-2 load index
Watch89/100
Threshold 85
SLA hit rate
On target96/100
Threshold 95
Corei · Recommendation
Tier-2 load crossed 85 at 09:42. Two tickets eligible to reroute to Rowan (skills, low queue). Want me to draft the moves?
Built for the questions BrightGauge dashboards left unanswered.
Charts told you something was wrong. Corei tells you what's wrong, which records caused it, and what to do next — without leaving the platform your team already works in.
Comparison reflects Corei's capabilities versus typical reporting tools commonly used in the MSP space. Specific vendor features change over time — confirm against their current docs.
Every gauge is a question with a clear answer and a next step.
No floating numbers, no "what is this measuring?" debates. Every gauge carries its definition, its sources, its thresholds, and the action it implies.
Plain-language definition
Describe the question in English. Corei proposes the data, formula, and thresholds — you confirm.
Explainable formula
Every gauge shows what's in the numerator, denominator, and filter — with the source records one click away.
Intentful thresholds
Healthy, watch, and at-risk ranges with reasons. Thresholds drive alerts, not just colors.
Accessible by default
Colorblind-safe palette, contrast-tested. Dashboards work in low light, on TVs, and in printed QBRs.
Reusable everywhere
Drop the same gauge into the executive view, the service board, and a customer's portal — defined once.
From signal to action
Click any gauge to see the records driving it, the trend over time, and what Corei recommends doing about it.
What actually happens behind one sentence.
"Utilization for each tech this month. Account for travel on onsite tickets. Flag anyone under 70%."
- 01
Finds the onsite work from each ticket's schedule location.
- 02
Looks up the client site address for every visit.
- 03
Calculates round-trip drive time automatically.
- 04
Puts travel beside billable time and applies your thresholds.
- 05
Keeps it live, re-running on a schedule with every run recorded.
Utilization with travel · Illustrative
Threshold 70%| Tech | Billable | Onsite visits | Travel | Utilization |
|---|---|---|---|---|
| Maya R. | 112.5 h | 4 | 3.2 h | 86% |
| Chris L. | 98.0 h | 11 | 14.6 h | 75% |
| Jordan P. | 86.5 h | 17 | 22.4 h | 66% |
| Sam T. | 61.0 h | 9 | 12.8 h | 47% |
EXPLAIN: Jordan's 17 onsite visits added 22.4 h of driving. It isn't billable, but it's why his number is low — it isn't a performance problem.
Illustrative data for demonstration purposes.
Four moves from a question in your head to a gauge on the wall.
- 01
Ask in English
"Show me whether Tier-2 techs are over-loaded this week." Type it like you'd say it in standup.
- 02
Confirm the formula
Corei proposes the data source, calculation, filters, and thresholds. Edit anything you don't like before saving.
- 03
Place it anywhere
Drop the gauge into a dashboard, a customer view, a QBR pack, or a Teams channel summary.
- 04
Get told when it matters
Alerts fire on threshold breaches. Corei pairs the signal with the records and a suggested next move.
Ask a question. Get a gauge. No SQL required.
Describe what you want to measure in plain English — like you would in a standup or a QBR prep call. Corei proposes the formula, sources, thresholds, and visual style. You confirm or tweak. The gauge goes live in under a minute.
Type it how you say it
'Are my Tier-2 techs overloaded this week?' — not 'SELECT COUNT(*) FROM...'
Corei maps to your data
It finds the right tables, fields, and relationships across your PSA, RMM, and finance stack.
Confirm, don't configure
Review the proposed formula, thresholds, and alert rules. Edit what you want. Accept the rest.
Iterate in conversation
'Make it weekly instead of daily' or 'Add a comparison to last month' — just tell Corei.
Corei · Gauge Builder
Natural language to live gauge
Tier-2 Load Index
PSA · Tickets + Time + Queue
89/100
Threshold 85 · Crossed at 09:42
Build with AI
Corei chooses from your approved datasets — never raw queries against production. It shows you exactly what will change before anything happens, and nothing saves until you click Save.
AI prompt gauges
Ask any question Corei can answer and keep it live — with thresholds, drill-down to the underlying records, and a nightly accuracy test so the answer stays trustworthy over time.
One dashboard for the executive view. Another for the dispatch wall. Same source of truth.
Compose dashboards from gauges, lists, and Corei insights. Scope them to roles, customers, or teams — and embed them in Microsoft Teams, customer portals, or QBR decks without rebuilding a single calculation.
- Role-based dashboards: exec, service lead, dispatcher, account manager
- Customer-scoped dashboards that double as client-facing QBR views
- TV-friendly NOC layouts with auto-rotate and high-contrast modes
- One-click embed in Microsoft Teams channels and customer portals
Executive · Weekly
MRR
$284k
+4.2% vs last week
Gross margin
62%
+1.1% vs last week
NPS (90d)
71
+6 vs last week
Pipeline at risk
$148k · 6 deals stalled >14d
SLA hit rate · 30d
96% · trending up
Corei: Margin lifted on the Cobalt account after the printer-driver standardization project. Worth replicating at 3 similar customers.
Built for the NOC screen, not just the browser tab.
TV mode
Cycle through dashboards and clusters automatically on a schedule you set.
Kiosk views
High-contrast, chrome-free layouts purpose-built for NOC and lobby screens.
Alerts with cooldowns
Threshold breaches page the right people without re-alerting on every refresh.
Start from a library built for MSPs — or invent your own.
Every gauge in the library is editable: copy it, change the thresholds, swap the denominator, or scope it to a single customer. The library is a starting line, not a cage.
Service
- SLA hit rate
- Backlog age
- First-touch time
- Repeat-ticket index
- Tier-2 load index
- After-hours ticket rate
Dispatch & capacity
- Utilization by tech
- Billable vs. non-billable
- Skill coverage gap
- Schedule fit %
- Idle capacity windows
Sales & accounts
- Pipeline coverage
- Quote-to-close rate
- Stalled deals
- Account churn risk
- Expansion opportunity index
Finance & business health
- MRR / ARR
- Gross margin by service
- Effective rate per tech
- Billable leakage
- Cash-collection days
One set of gauges, repeated for every company, site, or person.
A cluster is a reusable set of gauges that repeats automatically for every company, site, account manager, salesperson, technician, agreement, or board — as a KPI strip, a grid, or a custom layout. Draft one from a prompt, add a filter bar and period comparison, and Corei writes a two-paragraph summary underneath. Share the whole cluster with people or roles.
"Client service health" · Illustrative
Repeats per company| Company | SLA hit rate | Avg response | Open >7 days | Health |
|---|---|---|---|---|
| Harbor Dental Group | 94% | 3.1 h | 2 | 82 |
| Northgate Legal | 81% | 6.8 h | 7 | 68 |
| Alder Freight | 63% | 11.2 h | 14 | 51 |
| Summit Family Clinic | 97% | 2.4 h | 1 | 88 |
| Cedar Ridge Schools | 89% | 5.2 h | 4 | 76 |
Illustrative data for demonstration purposes.
A reporting analyst who builds the gauge while you're still talking.
Corei writes the formula, checks the data sources, suggests the thresholds, and shows you the math. You stay in control of what ships — Corei just removes the SQL and the schema spelunking.
- Proposes formulas grounded in your actual schema and data, not generic templates
- Flags noisy or low-quality data before you publish the gauge
- Recommends sensible thresholds based on your last 90 days of history
- Watches gauges for you and surfaces what changed and why
"Make a gauge for whether Tier-2 techs are over-loaded."
Data sources
PSA · 2 tables
Confidence
High
Build time
42 sec
Pulls from the systems that actually run your MSP.
Native connectors to the tools you already pay for. No data warehouse to stand up, no ETL team to hire, no nightly batch to wait on.
PSA
ConnectWise PSA, Autotask, HaloPSA — tickets, time, agreements, and accounts.
RMM
Device, patch, and monitoring data joined back to the ticket and customer record.
Finance
QuickBooks, Xero, and Stripe for revenue, margin, and collections gauges.
CRM & sales
HubSpot, Salesforce — pipeline, quote, and account health side-by-side with delivery.
Ready to retire the dashboards your team stopped opening?
We'll mirror your current BrightGauge dashboards on day one, then show you what's possible when gauges live inside the platform your team already runs on.