Bring recorded revenue and direct costs together by job, calculate margins consistently and flag results below your threshold. AI can help present questions for investigation, while the figures and calculations remain available for a person to check.
Change the margin threshold from 20% to 30%. See which sample jobs now need attention, then try your own fictional figures.
Bring recorded revenue and direct costs together by job, calculate margins consistently and flag results below your threshold. AI can help present questions for investigation, while the figures and calculations remain available for a person to check.
Explore job profitability ↗Less chasing. More room for the work that matters.
Figures sit across accounting records and spreadsheets. By the time someone assembles a report, the team has already made the next decision without seeing the exceptions.
A shared set of figures supports three views: job margin, direct-cost share and revenue concentration. The briefing puts the exceptions in front of a person with the underlying numbers.
Match revenue and direct costs to the same job and period. Timing and incomplete cost records can change the picture.
Margin is calculated from the supplied figures. The sample specialists examine margins, cost share and revenue concentration without inventing causes.
A low margin is a reason to investigate. The management briefing helps a person decide where to ask the next question.
The demonstration uses fictional CSV data and direct costs only. It excludes overheads, work in progress, cash flow and forecasts. A live build would require agreed definitions, reconciliation, period cut-offs and appropriate access to financial information.
No. A positive margin below your target is still positive before overheads. A negative direct-cost margin means recorded direct costs exceed recorded revenue; timing and completeness still need checking.
That is a possible design. We first confirm available fields, matching job identifiers and a consistent reporting period so the combined figures can be reconciled.
You can change the sample job figures and margin threshold. For a live build, we agree the reporting definitions and calculations before adding an AI explanation.
These figures alone do not establish why. A useful system separates what the records show from questions that need investigation.
Start with the thing that slows you down.
Let’s see what it could become.
A suggested starting point, not a live AI response. Tap any step to explore it. Choose a different angle if it misses what you had in mind.
Reporting information lived across four separate platforms. Renzo connected the data through MCP and AI, bringing hundreds of data points together on one page.
Explore the implementation ↗Delivered reporting result described by Renzo. Explore the wider fleet of 52 documented workflows.
Connect the reporting and handovers your business depends on. Renzo personally scopes and builds the finished solution. Start with one workflow, or agree a broader overhaul across the systems that need to work together.
Scope, price and delivery dates agreed before a build. No purchase commitment when you enquire.
Map the current task, systems, handovers and approval points. Agree a baseline and a success measure: handling time, re-entry, response time or exceptions.
Renzo builds the agreed reporting or workflow solution, with connected sources and defined review points. Test normal cases, missing information and failures before final delivery.
Receive the finished solution and a full documentation set. Review the agreed outcomes, confirm the handover and choose ongoing monitoring through a separately scoped retainer if you need it.
I’m Renzo, based in Canberra. I personally deliver the work, from understanding the business problem through to the finished solution. My own implementation connects four reporting platforms into one view, with hundreds of data points on a single page.
I have worked with one client for 12 years. That relationship reflects how I approach the work: understand the business, deliver something useful and remain a partner as its needs change.
A finished connected reporting or workflow solution, personally delivered by Renzo, with a full documentation set. An engagement can address one workflow or a broader overhaul across disconnected systems. The written scope defines the outcome, integrations, acceptance criteria, deliverables and exclusions before you commit.
The quote and delivery plan follow a review of your process and system access. Integration permissions, data quality and the approval steps affect both. You receive the proposed price, dates and any third-party costs before agreeing to the build; there is no universal price or timeline on this site.
Renzo personally scopes, builds and delivers the finished solution. The delivery plan sets out milestones and acceptance criteria, so both sides know what needs to be working at handover. You work directly with the person doing the implementation.
A full documentation set forms part of the engagement. During scoping, we agree its contents around the systems, connections, workflow logic, operating instructions and handover your team needs. Access, recovery and ongoing responsibilities are recorded for the agreed solution.
The proposed approach is to use business-owned accounts, with your team retaining control of access. Workflow files, documentation, handover rights and any platform-specific limits are set out in the quote. Third-party software and model licences remain subject to their own terms.
The agreed design defines where the process must pause, who reviews exceptions, and how the team falls back to the existing process. Missing data, incorrect suggestions and connection failures belong in the test plan. Monitoring and recovery arrangements are agreed before any live rollout.
Renzo offers ongoing monitoring as required through a separately agreed retainer. It sets out what is monitored, how issues are raised, the available response arrangements and the cost. Changes and additional development are scoped explicitly. The finished solution and full documentation are part of delivery; a monitoring retainer is an optional ongoing service.
During scoping, we identify the information each step needs, the providers that would receive it, access controls and retention. Hosting location and provider terms are confirmed for your build. The playground uses fictional data and sends nothing to an AI model. Only the details you deliberately submit through the enquiry form are saved.
No. The six playground examples use fictional data and simulated AI. The separate fleet case study is a redacted account of Renzo’s own internal implementation map. It identifies what was scheduled, on demand or pending in that snapshot; it does not claim measured savings or independent verification.
The site saves your name, email and brief for Renzo to review and gives you a receipt reference. There is no payment or automatic project commitment. You can also use the email option. The confirmation means your enquiry was saved, not that a reply has already been sent.