Give each priority a specialist.
Create worker agents for a location, business unit or area of expertise. Give each a dashboard, business context and reporting brief.
AI becomes more useful when it understands your business—and its work can be inspected. EZDash connects the context, the investigation and the evidence behind the findings.
BUSINESS CONTEXT INCLUDEDTalk through a business question in plain language. The Assistant can explore the data, create charts and assemble dashboards—then refine them with your feedback.

A Build-mode conversation, with a chart you can save and return to.
Build a weekly revenue dashboard for our restaurant group. The request identifies the trading period, the five outlets and the business measure to use.
The Assistant creates a chart preview, checks the weekly figures and explains the February dip. It also identifies partial weeks so they are not mistaken for a fall in sales.
The weekly revenue chart is saved in Restaurant Revenue Review. Your team can return to it, refine the view and build on it as more questions emerge.
Explore selected moments from the conversation. The weekly grouping and figures were checked and refined before the final view.
AI Command Centre is your reporting team at work. Specialist worker agents investigate their part of the business and produce detailed reports. A manager agent brings them together into a briefing you can use—with the evidence behind the conclusions.
Create worker agents for a location, business unit or area of expertise. Give each a dashboard, business context and reporting brief.
Schedule recurring investigations. Agents analyse the details and prepare reports without someone having to start every run.
Share detailed reports with colleagues. Ask follow-up questions and create the files your team needs to act.
Outlet performance Detailed report
Stock & demand Detailed report
Costs & operations Detailed report
Connects the specialists’ reports, explains the patterns and brings shared priorities into focus.
Follow the dashboard data to a specific operational finding—and the files that help the team act on it.

The outlet analyst works with the Operations Control dashboard: sales, voids, free items and unmapped till entries.
The investigation compares five outlets and traces Boat Quay’s unmapped sales to five individual till buttons.
Match those buttons to the correct menu products, then rerun the product reports. The report includes the item names and supporting figures.
5 till buttons · 566 lines · 811 units
Recorded sales awaiting product mapping · data through 30 June 2026An Excel checklist to assign the work. A PDF to brief the manager. Slides for the next meeting. Ask the report a follow-up question and turn the investigation into something your team can use.
Five till buttons, verified sales totals and fields for owners and progress.
Download workbookThe reporting gap, supporting evidence and next steps in a one-page brief.
Download briefingThree slides to explain the finding, align the team and agree what happens next.
Download slidesThe workbook, PDF, slides and a CSV checklist, packaged together for the team.
Download all filesThe report identified five unmapped till buttons. A follow-up conversation turned that finding into a practical cleanup pack.
For scheduled agent reports, verification can check the declared figures, the data snapshot and the reporting period. The results stay alongside the analysis.
Declared calculations can be replayed against the extracted data, helping surface mismatches between a reported value and its supporting calculation.
Checks can identify changes to analysis files and discrepancies between the reporting period and the data used in the investigation.
A review pass examines flagged calculations and the explanation. We configure whether failed final checks are shown as warnings or block report publication.
Dashboard and data access are checked for the identity running the investigation. Configured row-level rules shape the data made available.
Investigations use a separate workspace for calculations and generated files. Supported deployments can enforce sandbox restrictions around that execution.
We set investigation schedules and AI spending limits around your operating rhythm and budget.
Private deployment and local-model options can keep the workflow on your infrastructure. We design the setup around your data requirements.
Inspect the supporting calculations, review the findings and decide what to act on—with the evidence close at hand.
Choose a setup around the complexity of your questions, your data requirements and your budget. We help you select and configure the right model for the agreed workflow.
Choose Claude or OpenAI for your business investigations. Bring your own API keys—we help select the model and configure the connection around your questions, data requirements and budget.
Your provider choice becomes part of the EZDash setup, alongside your dashboards, agents and reporting workflow.
Keep the workflow on your infrastructure. We match the model and hardware to your data requirements.
Use your own credentials for supported providers. We configure the connection and validate model compatibility for the agreed workflow. Local inference requires a locally hosted model and endpoint.

Interactive dashboards give people and agents a shared view of the business. Explore the numbers when you want to go deeper yourself.
Explore dashboards & BIYou know what makes your business tick. Our business analysts help turn that knowledge into the right data, dashboards and AI investigations.
Discuss your use caseWe work through your questions, targets and reporting habits—including the Excel sheets your team already relies on.
We configure dashboards, specialist agents, business context, schedules and the checks appropriate to your workflow.
We review the first outputs with you, guide your team and keep refining the setup as your business evolves.
Your first agreed rollout within 30 days. Custom integrations and extensions are scoped separately.