An AI-assisted enquiry process can use approved business information to prepare a relevant reply, identify missing details and give the team the same context. Human review can stay in place before anyone promises a date, a price or a scope of work.
Try a customer who needs help tomorrow. Watch the availability branch appear, then edit the proposed reply.
An AI-assisted enquiry process can use approved business information to prepare a relevant reply, identify missing details and give the team the same context. Human review can stay in place before anyone promises a date, a price or a scope of work.
Explore customer enquiries ↗Less chasing. More room for the work that matters.
An enquiry lands in a shared inbox. Someone searches for the right information, writes a reply and tells the team separately. An urgent request can disappear in the handover.
The request, supporting information and suggested next step travel together. Urgency prompts an availability check. A person reviews the response before it becomes a customer promise.
A live system could retrieve approved service information from a controlled document source. This demo uses a short sample guide.
The suggested response asks about site, scope and timing. Urgent wording changes the next step instead of creating an unsupported promise.
Edit the reply and review the handover. The sample shows how a lead record and team update could carry the same customer story.
A live build would need approved source documents, access permissions, ownership of replies and a fallback when information is missing. This demonstration uses preset interpretation rules; it does not search SharePoint, run a model or send messages.
The demo offers friendly and concise responses that you can edit. For a live system we would use approved examples of your writing and test responses against real types of enquiries.
The process should ask for clarification or send the question to a person. It should not make up availability, pricing or service commitments.
We start with the inbox and systems your team uses, then confirm the available access and integration options.
The aim is to remove repeated searching and copying so people can focus on decisions and customer relationships. You choose which responses need review.
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.