Edison AI
Implementation · S06

Operating Dashboards

The one screen that shows what your business is actually doing this week. We pull pipeline, delivery, revenue, risk and team capacity from the systems you already run, then add an AI weekly summary card that names what changed and what to ask in the leadership meeting.

The problem

The pattern we keep seeing.

A founder opens twelve tabs every Monday and tries to assemble a picture of the business. CRM in one tab. Project tool in another. Xero. Helpdesk. Slack. Three spreadsheets nobody owns. By the time the leadership meeting starts, half the morning is gone and the picture is already stale.

  • You have twelve tabs open and one question.

    'How is the business actually doing this week?' The answer lives across CRM, helpdesk, project tools, finance, and you're the integration layer.

  • Reporting is a Monday-morning ritual nobody enjoys.

    Pulled together by hand, last week's data, three days late, by the person who has more important work, and the answer is stale before the meeting starts.

  • Dashboards exist but nobody opens them.

    Built once, never tuned. Showing 40 metrics, surfacing none. The team treats the dashboard like wallpaper.

What it is

What is Operating Dashboards?

A custom operating dashboard that pulls the numbers and signals you care about from your existing systems, summarises them in plain English, and tells you what changed since last week.

The one screen that shows what your business is actually doing this week. We pull pipeline, delivery, revenue, risk and team capacity from the systems you already run, then add an AI weekly summary card that names what changed and what to ask in the leadership meeting.

Edison AI builds custom operating dashboards for Australian SMBs. Each dashboard pulls from existing systems (CRM, helpdesk, finance, project tools), surfaces the 8–12 metrics that matter for that business, and uses AI to summarise what changed week-on-week in plain English. Engagement runs 3–4 weeks for a fixed fee of $12,000–$45,000 plus GST. Tools used include Looker Studio, Power BI, Metabase, custom internal pages, and AI summarisation via Claude or ChatGPT.

Pair with workflow automation for cleaner dataStart with an AI readiness audit
Why this matters now

The shifts you can't postpone.

Three shifts that move the operating dashboard from nice-to-have to leadership-cadence anchor.

  • 01

    AI now writes the summary, not just the chart.

    What used to need a senior analyst is now a one-paragraph weekly brief generated from your data, for under $200/month in tooling.

  • 02

    Leadership cadence is the operating system.

    Teams that meet with shared visibility outperform teams that meet to assemble it. The assembly cost is the silent tax on every leadership team meeting in Australia.

  • 03

    Boards are asking for a dashboard, not a deck.

    'Send the dashboard link' replaces 'send the slides'. Investors and chairs want live numbers between board meetings, not Monday-morning catch-up.

Deliverables

What you get.

  • 01

    Decision-needs map (leadership interview output)

  • 02

    Metric shortlist.8–12 KPIs in, the rest deliberately out

  • 03

    Source-system connection setup (APIs configured, refresh cadence agreed)

  • 04

    Built operating dashboard in your tool of choice (Looker Studio, Power BI, Metabase, custom)

  • 05

    AI-written weekly summary card with prompt template + reviewer protocol

  • 06

    30-day post-launch tuning window

By audience

Where this shows up.

  • Founder

    What matters

    Revenue, runway, pipeline coverage, delivery risk, team health.

    AI summary

    'Three deals stalled in follow-up. Ops queue cleared 18% faster than last week. Customer Y is the top retention risk; last contact 21 days ago.'

    Outcome

    The one screen the founder opens with their first coffee on Monday morning.

  • GM / COO

    What matters

    Pipeline-to-cash flow, project status, team capacity, customer health.

    AI summary

    Highlights bottlenecks and capacity risks. 'sales overcapacity, delivery undercapacity; expect slip on three projects without intervention.'

    Outcome

    One synchronised operating rhythm replacing four tool tabs.

  • Sales leader

    What matters

    Pipeline coverage, conversion, rep activity, deal health.

    AI summary

    Flags stalled deals, single-threaded risks, coverage gaps.

    Outcome

    The Monday-morning forecast call starts with the dashboard open, not a spreadsheet.

  • Operations

    What matters

    Project status, supplier performance, capacity utilisation, escalations.

    AI summary

    Surfaces what's going to slip next. The dashboard becomes the standup agenda, not the post-mortem.

    Outcome

    Less reactive ops; more pre-emptive intervention on the projects that need it.

  • Finance

    What matters

    Cash, AR/AP, margin, variance to budget.

    AI summary

    Explains variances in plain English. 'margin down 1.4 pts this quarter; driven by two large supplier increases not yet repriced.'

    Outcome

    Faster close, sharper commentary, the CFO reading rather than rewriting.

  • Board

    What matters

    Quarterly cuts of all of the above plus named risks.

    AI summary

    Drafts the board-paper section so the founder edits, not authors.

    Outcome

    The board reads the link; the founder spends Sunday night doing something else.

How we work

The engagement.

  1. Step 01

    Diagnose

    Week 1: decision-needs interview with leadership. Metric shortlist. Source-system map. The most important question: what decision will this dashboard change?

  2. Step 02

    Design

    Weeks 1–2: dashboard layout, tile structure, AI summary prompt design. Wireframe approved before any data is moved.

  3. Step 03

    Build

    Weeks 2–4: connections, tiles, weekly summary card, alerts. Each tile validated against the same number elsewhere in the business.

  4. Step 04

    Embed

    Week 4 + 30 days: leadership cadence trained. Tuning window. Documentation handover. You own the prompts, the tiles, the connections.

Tools we reach for

We pick tools by fit, not hype.

The right tools for your business depend on your stack, data sensitivity and team. These are the ones we most often reach for in this kind of engagement.

  • Dashboarding

    Looker StudioPower BIMetabaseNotionAirtableRetoolLovable

  • Source data

    HubSpotSalesforcePipedriveXeroMYOBNetSuiteZendeskClickUpGoogle SheetsSupabase

  • AI summarisation

    Claude (Anthropic API)ChatGPT (OpenAI API)Microsoft Copilot
Outcomes

What changes.

  • 1

    Screen replaces 4–8 tabs for the leadership team.

    Measured before vs. after on the founder's actual Monday morning routine.

  • 2–4 hrs

    Per week back, per leader.

    Pulled from manual reporting, assembly and the Sunday-night ritual nobody wants to do.

  • A weekly cadence the team actually keeps.

    Because the assembly cost dropped to zero. Adoption follows when the work to open the dashboard is less than the work to avoid it.

Best fit

Who this works for.

This is for you if…

  • You can't answer 'how is the business doing this week?' without opening four tools
  • Leadership reporting is a Monday-morning manual ritual eating two hours of senior time
  • You have dashboards but nobody opens them. Built once, never tuned
  • You want one screen for one cadence, not a BI platform rebuild
  • You want AI summarising the meaning, not just showing the chart
  • Your board wants a link, not a slide deck

Not the right fit yet if…

  • You have no clean source data and no system of record (start with an AI Readiness Audit)
  • You want a full data warehouse rebuild. We partner with specialists for that
  • You're looking for a 40-metric executive scorecard with quarterly refresh; this is built for the weekly cadence
Pair with workflow automation for cleaner data
Comparison

How this compares.

Five common alternatives to a custom operating dashboard. One actually gets opened on Monday morning.

  • Build it yourself in Power BI / Looker

    Gives
    Cheap, fully customised
    Falls short
    6 months of internal effort, nobody uses it
    Edison difference
    Edison ships a leadership-grade dashboard in 4 weeks

  • Hire a BI freelancer

    Gives
    Affordable
    Falls short
    Tool-led, not decision-led. Solves the wrong problem
    Edison difference
    Decision-needs interview first; the tool follows

  • Buy a SaaS dashboard tool (Geckoboard, Klipfolio)

    Gives
    Out-of-the-box
    Falls short
    Generic, no AI summary, no decision context
    Edison difference
    Custom + AI weekly summary card

  • Ask your accountant for reports

    Gives
    Free-ish
    Falls short
    Three days late, not operational
    Edison difference
    Live, updated whenever you open the page

  • Big consultancy data programme

    Gives
    Comprehensive
    Falls short
    Six figures, slow, often theatrical
    Edison difference
    Boutique, 3–4 weeks, fixed-fee

  • Edison AI

    Operator-grade, founder-led, fixed quote. Built around your real stack and workflows , not a binder, a brochure, or a six-figure off-the-shelf programme.

Objections

What buyers ask first.

  • “We already have a BI tool nobody uses.”

    That's the problem we solve. The dashboard is built around the decision cadence, not the data. Adoption follows when the work to open the dashboard is less than the work to avoid it.

  • “Our data is messy.”

    Most SMB data is. We build around the messy reality and flag what needs cleaning, rather than waiting for a perfect data layer that never arrives.

  • “Will the AI summary be reliable?”

    Yes. It's grounded in the dashboard's actual data, not the model's imagination. We show every figure the summary references; you can audit the maths in one glance.

FAQ

Common questions.

  • What's the investment range for an operating dashboard build in Australia?

    $12,000–$45,000 plus GST depending on the number of source systems, complexity of metrics and AI summary depth.

  • How long does the dashboard take to build?

    3–4 weeks for the build, plus a 30-day post-launch tuning window where we add, remove or reshape tiles as the right view shows itself.

  • What tools do you build in?

    Looker Studio, Power BI, Metabase, custom internal pages, or your existing BI tool. Tool-agnostic; the tool follows the decision, not the other way around.

  • Do we need a data warehouse?

    Not for most SMB scopes. We pull from source systems directly via API. Where a warehouse is genuinely needed, we'll recommend a specialist rather than over-engineering it.

  • How is the AI weekly summary generated?

    From the dashboard's actual data, using a structured prompt. Every figure the summary references is shown on the dashboard itself. There's no model hallucination because the model is reading numbers, not inventing them.

  • How often does the dashboard update?

    Live (every time you open it) or scheduled (e.g. every Monday morning) depending on the source system's API limits and the decisions you're making against it.

  • Who owns the dashboard?

    You do. Access, structure, prompts and documentation are yours. We do not retain admin rights or vendor lock-in.

  • Can we extend it later?

    Yes. Most clients add 2–3 tiles within 90 days of launch as new questions emerge. The 30-day tuning window covers the first round; further extensions are scoped separately.

Industries this service supports

The same service creates different leverage depending on your industry.

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Next step

Ready to scope operating dashboards?

A 20-minute call is enough to know whether this is the right fit and what a first engagement would cover.

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