↑ 13.8% above target
158 pages · 3.5 min/pg
error rate 0.9% ↓
EOD auto-sent ✦
Ops Intelligence for Outsourced Teams

Your team's data,
working for you

DataBridge Ops turns your outsourced team's spreadsheet data into automated daily reports, executive summaries, and on-demand operational answers, built and delivered in two weeks.

Get a free ops audit See how it works →

No payment yet · Answer 5 questions · We respond within 24 hours

#ops-reporting · live signal feed
08:01 #ops-daily Document Processing: 158 pages processed, 29 remaining · avg 3.5 min/page · 7 active
08:01 #ops-daily Change-Compare: 33 docs completed, 8 in queue · on track for EOD target
08:01 #ops-daily Data Extraction: 16 requests submitted · 9 responses received · 5 ready for extraction
08:02 #ops-daily Team headcount: 28 of 31 active · 2 on leave · 1 training · error rate 1.0%
14:00 #ops-mid Surge alert: load increase on Workflow B · reallocation model: move 3 from Document Processing · confidence 90%
14:01 #ops-mid AI tool usage: 3,120 credits used · 62% processing, 38% quality · within budget
17:55 #ops-eod EOD Summary: 330 units processed across 4 workflows · target: 290 · +13.8% above plan
17:55 #ops-eod Quality: 0 escalations · weekly error rate 0.9% vs 1.45% baseline · throughput ↑ week 3 of 4
08:01 #ops-daily Document Processing: 158 pages processed, 29 remaining · avg 3.5 min/page · 7 active
08:01 #ops-daily Change-Compare: 33 docs completed, 8 in queue · on track for EOD target
08:01 #ops-daily Data Extraction: 16 requests submitted · 9 responses received · 5 ready for extraction
08:02 #ops-daily Team headcount: 28 of 31 active · 2 on leave · 1 training · error rate 1.0%
14:00 #ops-mid Surge alert: load increase on Workflow B · reallocation model: move 3 from Document Processing · confidence 90%
14:01 #ops-mid AI tool usage: 3,120 credits used · 62% processing, 38% quality · within budget
17:55 #ops-eod EOD Summary: 330 units processed across 4 workflows · target: 290 · +13.8% above plan
17:55 #ops-eod Quality: 0 escalations · weekly error rate 0.9% vs 1.45% baseline · throughput ↑ week 3 of 4

The problem

Stop assembling data.
Start making decisions.

You're accountable upward for a team that isn't in the same room. Every exec presentation, every resource call, every budget conversation needs data you have to request, then wait for someone else to pull.

⏳

Daily reports built by hand

Your ops manager compiles and posts productivity data manually, in Slack, Teams, or wherever your team talks. Every day. Time that should be spent on decisions is spent on assembly.

📊

Monthly scramble before exec calls

Quarterly reporting means 1–2 weeks of back-and-forth pulling data from multiple sheets. You're assembling the story instead of telling it.

🔍

Ad-hoc questions take days

"What does reallocation look like if load surges on workflow B?" That question shouldn't take a week to answer. But right now, it does.

What DataBridge Ops delivers

Three things your team's data
should already be doing

No new tools for your team to learn. DataBridge Ops reads from your existing Google Sheets or Excel files and turns that data into intelligence you can act on.

L1

Automated daily & shift reporting

Structured productivity reports generated and pushed to Slack, Microsoft Teams, Google Chat, or email automatically: start of shift, mid-day, and end of day. Volume, headcount, speed, workflow metrics. No manual compilation, ever.

Eliminates manual daily reporting
#ops-daily · Slack, Teams, or Chat · 08:01
DB
DataBridge Ops BOT · Today at 8:01 AM
📋 Morning Shift Report, Jun 29
─────────────────────
Document Processing · 158 processed · 29 remaining · 3.5 min/pg
Change-Compare · 33 docs · on track
Data Extraction · 16 submitted · 9 received
Headcount · 28/31 active · error rate 1.0%
─────────────────────
Auto-generated by DataBridge Ops ✦
L2

Executive reporting automation

Monthly and quarterly summaries auto-generated from the same data, formatted for your exec audience, delivered as slides or PDF on a scheduled trigger. The report builds itself.

Eliminates quarterly scramble
Q2 Executive Summary · auto-generated
Data Ops Performance, Q2 2026
3×
Docs Processed
1.2%
Error Rate
+12.4%
vs Target
Document Processing throughput1.9×
Data Extraction volume2.1×
Change-compare2.1×
L3

On-demand operational intelligence

Ask operational questions in plain language, get data-backed answers in seconds. Reallocation scenarios, tool credit tracking, throughput benchmarks. No manual investigation required.

The high-value layer
Ops intelligence · plain language query
You asked
What does reallocation look like if I move 4 people from Document Processing to Data Extraction this week?
DataBridge Ops
Moving 4 from Document Processing leaves 18 active, still above the 14-person floor for current volume. Data Extraction throughput would increase by an estimated ~31% based on 30-day avg output per person. Document Processing ETA extends by 1.2 days on current backlog. Recommend timing the move after Tuesday's batch completes.

How it works

The tools behind your system
chosen for what they do for you

n8n

Automation that runs itself

Your reports generate and send on their own, on the schedule you set. Runs on infrastructure you can take ownership of at handoff, so you are never locked in.

Claude

Answers in plain language

Ask operational questions the way you would ask a teammate, and get data-backed answers. No dashboards to learn, no query language to write.

Sheets

Your data, where it already lives

Built on the Google Sheets or Excel files your team already uses. No migration, no new system to adopt. Read-only access by default.

Slack

Reports where your team works

Delivered straight to Slack, Teams, Google Chat, or email. Nothing new to log into, the reports come to you.

The path to live

From intake to live system
in two weeks

01

Fill the intake form

Describe your team, workflows, data sources, and reporting needs. One form. Payment processed on submission.

02

We map your data

DataBridge Ops reviews your Sheets or Excel structure and confirms metric fields and workflow configurations, async, within 48 hours.

03

System is configured

Automation layer, reporting outputs, and intelligence interface built to your spec.

04

Live in your stack

Loom walkthrough + full Notion documentation. One round of async revisions included. Maintenance retainer offered at handoff.

What's included

Everything you need.
Nothing you don't.

✦ Configured automation layer reading from your data source
✦ Slack, Microsoft Teams, or Google Chat integration (or email) for daily/shift reports
✦ Executive reporting template, auto-populated on schedule
✦ AI-powered query interface for on-demand operational questions
✦ Notion client portal with full system documentation
✦ Loom walkthrough video covering the complete system
✦ One round of async revisions included
✦ Works with Google Sheets or Microsoft Excel, your choice

Pricing

One price. One scope.
No surprises.

$1,500
USD · one-time build fee · delivered in 2 weeks
✦ All three intelligence layers (L1, L2, L3)
✦ Configured for your team's workflows and metrics
✦ Full documentation and Loom walkthrough
✦ One round of async revisions
✦ Works with Google Sheets or Excel
✦ Fully async, start to finish
Get started
No hidden fees. Build fee includes your first month of infrastructure hosting. After month 1, choose: our maintenance retainer ($350/month, hosting + support included), or transfer to your own infrastructure (~$5–10/month). All costs disclosed before you pay.

Get started

Tell us about your team

Answer a few questions about your setup. No payment yet. We confirm your situation is a fit before anything else. If you want more detail first, request a free ops audit instead.

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2–3 day async report · no cost

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