Operations Dashboards for Professional-Services Firms

Your numbers live in six tools. The Friday roll-up disagrees with them by Monday. We build the reporting layer that pulls from your CRM, accounting, project, and time-tracking tools, then shows utilization, margin, AR aging, and project health in one live view. No more Friday Excel days. Certified n8n Expert Partner. 5.0 from 7 reviews.

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Built on your stack, one source of truthLive data, not last week'sROI in 6 months, or we do not take the project
The Problem

Why Friday Excel days happen

Numbers in the Friday roll-up disagree with the live tools by Monday
Utilization feels low, but nobody can show it by team in under 20 minutes
Month-close takes days, because AR aging needs a reconcile across tools
The forecast assumes every deal stage is accurate. They are not
You bought a BI tool, but the dashboards are stale and nobody trusts them
For a services firm, the data is scattered. HubSpot has the pipeline. QuickBooks has AR. ClickUp has project status. Harvest has time. The COO has a spreadsheet that rolls it up, and rolls it up means export four CSVs, pivot, copy-paste, and email the result at 5pm Friday.
The Fix

Live aggregation, scheduled delivery

We build the data layer that pulls from every operational tool, turns it into the metrics your leadership uses, and ships it where they read. Dashboards refresh. Weekly report packs email on Thursday. An anomaly triggers a Slack alert the moment a number goes off-trend.
Source connections to every operational tool with a native API
A transformation layer that sets your metric definitions once
Dashboards in Looker, Metabase, Sigma, or custom, your choice
Report packs delivered to Slack, email, or a client portal

The dashboards we build

Six common dashboards for a services firm. Most clients do two or three of them in the first few months, in roadmap order.

How the data layer works

Four phases. Each phase delivers a usable dashboard before the next one starts.

  1. 1

    Phase 1. Source connection

    Connect each tool, HubSpot, QuickBooks, ClickUp, Harvest, Stripe, or your database, through native APIs. Connections are monitored and error-recovering.

  2. 2

    Phase 2. Transformation

    Set your metric definitions in one place: what counts as billable, how margin is figured, when a deal is won. Numbers agree because every dashboard reads the same source.

  3. 3

    Phase 3. Dashboard build

    Build in Looker, Metabase, Sigma, or custom. Each dashboard is documented, tested with real users, and tuned for the question it answers.

  4. 4

    Phase 4. Delivery and alerts

    Live dashboards live where your team works. Report packs deliver on a cadence. Anomaly alerts fire on an off-trend number, so leadership reads exceptions, not noise.

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AI automation agency 4-step implementation process: Map, Design, Build, Monitor

Looker, Metabase, Sigma, or custom

  • OFF-THE-SHELF BI

    Best when you have a data team to own dashboards long-term. Looker fits Google-stack shops; Metabase wins on self-host and lean teams; Sigma fits finance-heavy Snowflake shops. We build inside whichever tool you pick.
  • CUSTOM DASHBOARDS

    Best when off-the-shelf BI is overkill or under-fit: a client-facing view with your branding, or an ops screen on a TV in the bullpen. We build with React or your app stack.
  • AUTO-EMAILED REPORT PACKS

    Best when the audience will not log into a tool. Founders, board members, and clients read a Thursday PDF but never open Metabase.

How it worked for Contrail Financial

Financial Consulting/Fractional CFO

Automating Daily Market Intelligence Briefs for a Finance Firm

Custom newsletter automation

  • 30+ hrs/monthFounder time saved
  • $54K-$108KAnnual capacity recovered
Read the full story

"I had a great experience working with 2V Automation. They were highly responsive, knowledgeable, and professional throughout the project. The team delivered the full scope quickly and efficiently, meeting my expectations in both quality and communication. I'd confidently recommend 2V Automation to anyone looking for a capable and dependable automation partner."

Brian Faust Brian FaustCEO @ Contrail Financial

The tools we connect to

We have worked with 137 tools in production. If yours has an API, we can connect it.

137 toolsWe use in production automation infrastructures

CRM & SALES

HubSpotSalesforcePipedriveClose

ACCOUNTING & BILLING

QuickBooksXeroNetSuiteStripe

PROJECT MANAGEMENT

ClickUpAsanaMondayNotionJira

TIME TRACKING

HarvestTogglHubstaffClockify

WAREHOUSE / DATABASE

BigQueryPostgresSnowflakeRedshift

BI TOOLS

LookerMetabaseSigmaCustom dashboards

DELIVERY CHANNELS

SlackEmailWeb portalNotion

The automation layer

The Reporting and Dashboards Module

The full reporting layer we install for a services firm. It pairs with our quote-to-cash system and invoice and AR automation, and rolls up into the operations automation pillar.

Reporting and Dashboards Module

The complete data and reporting layer for operations leadership:

Source Integration

Native API connections to every operational tool, CRM, accounting, project, time tracking, helpdesk, payments. Monitored and error-recovering.

Transformation

Metric definitions codified once. Utilization, margin, deal-won, AR aging, all defined in one place and read from the same source.

Dashboard Build

Production dashboards in Looker, Metabase, Sigma, or custom. Documented, tested with real users, and tuned to the question they answer.

Report Pack Automation

Weekly or monthly PDF or HTML packs that build and deliver to Slack, email, or portal. Annotated with anomaly flags inline.

Anomaly Alerts

Slack and email alerts when a number goes off-trend, utilization drops, AR spikes, deals stall. Leadership reads exceptions, not noise.

Custom Metrics Layer

When the off-the-shelf metric is not quite right, effective rate by service line, contribution margin including indirect cost, retention-adjusted ARR, we model and instrument the custom version, then surface it across every dashboard that needs it.

Margin and Forecast Models

Beyond reporting what happened, we model what is likely to happen. Pipeline-weighted revenue forecast, utilization forecast, AR collection forecast, project margin at-completion projections. Built with your finance lead, not in a vacuum.

Engagement and pricing

We start with a discovery week, then build the reporting layer one project at a time. Once a build is live it runs without us. If you want us to keep improving it, we agree that separately. Each phase delivers a usable dashboard before you commit to the next.

If we cannot show ROI inside six months, we do not take the project.

Automation Discovery Week

from $2,000. One week mapping how the operation runs today, then build-ready assets, chosen for your business, that you keep whether we build or not. $2,000 up to 20 people, $4,000 for 21 to 50, a short call above that.

Builds

priced per project. Most take three to six weeks and land between $6,000 and $18,000, covering source connections, the transformation layer, the first dashboards. Your roadmap prices each one exactly, before you commit to any of them.

Ongoing

optional. Once a build is live it runs without us. If you want us to keep improving it, we agree that separately.

The Contrail install reclaimed about 480 engineering hours per year by automating the data work that used to live in spreadsheets.

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Operations Dashboard FAQs

If you have a question, chances are you'll find the answer below.

Looker, Metabase, or Sigma, which do you recommend?

It depends on the team. Metabase is the low-friction self-host pick for lean ops teams. Looker fits Google-stack shops on BigQuery. Sigma fits finance-heavy Snowflake shops. Not sure? We start on Metabase and revisit at 90 days.

Do we need a data warehouse?

Not for most operational dashboards. Under about 100K records, we pull live from source APIs and cache hard. Past millions of rows or years of history, a warehouse like BigQuery, Postgres, or Snowflake pays back. We tell you which side you are on.

How real-time is real-time?

For most metrics, a 5 to 15 minute refresh matches the decision cadence. For SLA and pipeline alerts where minutes count, we push events through webhooks, so updates land within seconds.

Can it forecast, or just report?

Both. Reporting is the base. Forecasting layers on once the data is clean. We build pipeline-weighted revenue forecasts, utilization forecasts, and project margin at completion. Forecast quality tracks your CRM and time-tracking discipline.

Will it conflict with our current dashboards?

No. We read from the same sources. Teams often retire the stale dashboards within 90 days because the new ones earn trust. That is your call, not a forced migration.

What does the team need to run it?

Metric definitions live in a layer your analysts can edit. Visuals live in the BI tool your team can edit. We document what is safe to change and what needs an engineering review.

Start with an Automation Discovery Week

The Automation Discovery Week maps which metrics your leadership decides on and where the data is trapped today. Run the math with our ROI calculator and workflow cost calculator. The reporting layer pairs with our quote-to-cash system and invoice and AR automation. For the vertical view, see our professional services build. See the Contrail Financial case for real outcomes.

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Or start with an Automation Discovery Week, from $2,000