Demonstration systems / Command
Demonstration system · Business Command Center
Command. Know what requires attention without manually checking every system.
Combines CRM, projects, tasks, invoicing and pipeline data into one daily view, applies business rules to find what is stale, blocked, overdue or off target, and writes a morning briefing that links back to the records it came from.
One place to see what is happening across the business and what deserves attention next.
Built with
- Dashboard
- Data Aggregation
- Alerts
- AI Summaries
- Task Management
- CRM Data
- Reporting
- Operational Intelligence
A Dekundy Group demonstration build set in a fictional business, Harborline Systems, an owner-led services business with a small team. These examples use synthetic data and are not presented as client case studies. Every business, contact, figure and message shown is fictional, created by Dekundy Group to demonstrate what can be built.
Interactive demonstration
Try Command.
Open a record, approve a draft, run the agent. Everything is local to your browser and resets on reload.
The business problem
What this solves.
The information exists
CRM, email, spreadsheets, task systems, calendar, analytics, accounting and support tools all hold part of the picture.
Nobody has time to assemble it
Knowing what needs attention today means opening eight tabs and holding the answer in your head.
Problems surface late
The stale lead, the blocked project and the overdue invoice are all visible somewhere. They get noticed at month end.
From published research
47%
A 2023 Gartner survey of 4,861 employees found 47% struggle to find the information or data they need to do their jobs, while the average desk worker now juggles 11 applications.
Source: Gartner, Digital Worker Survey press release, 10 May 2023 (2023)
62%
In Microsoft's 2023 survey of 31,000 workers, 62% said they struggle with too much time spent searching for information.
Source: Microsoft, Work Trend Index Annual Report: Will AI Fix Work? (2023)
Industry findings, not results of this demonstration.
What the system does
Input to outcome, with a person in the loop.
Each stage names who does the work: the agent, business rules, automation, or a person.
Input
01Systems
CRM, projects, tasks, invoices and pipeline data are read on a schedule.
Automation
02Aggregation
Records are normalised into one operational dataset.
Business logic
03Rules
Business rules define stale, blocked, overdue and off-target.
Business logic
04Priorities
Items that break a rule are ranked into today's list with the reason.
AI agent
05AI briefing
The agent writes the morning summary from the ranked items and the underlying numbers.
Human approval
06Review
The owner reads, reprioritises and decides. The briefing suggests; it does not act.
Output
07Source data
Every line of the briefing opens the records it was derived from.
- Input
- AI agent
- Business logic
- Automation
- Human approval
- Output
Who does what
What the AI does, what is automated, what you control.
The AI agent
What the AI actually does
- Writes the daily briefing from ranked items and current numbers
- Explains why each priority is on the list
- Summarises changes since yesterday
- Highlights concentration and forecast risk in plain language
- Answers questions about the underlying data on request
Automation
What gets automated
- Pulls records from each connected system on a schedule
- Normalises them into one dataset
- Applies the rules for stale, blocked, overdue and off-target
- Ranks today's priorities
- Refreshes the dashboards and sends the briefing
Human control
What a person controls
- Defines the rules and thresholds
- Decides what to do about each priority
- Reprioritises, snoozes or dismisses items
- Owns every customer conversation and every financial decision
- Adds or removes connected systems
Potential outcomes
Designed to help
- See what needs attention today without opening every system
- Surface stale leads, blocked projects and overdue invoices the day they happen
- Replace manually assembled reports with a maintained view
- Make the morning review a five-minute read with links to the detail
- Keep the whole team looking at the same numbers
No percentages are claimed for this demonstration. Where published research applies, it is cited above as industry evidence.
Components
The building blocks
- 01Data Connectors
- 02Aggregation Job
- 03Business Rules
- 04Dashboard
- 05Alerts
- 06AI Briefing
- 07Task Management
- 08Human Decision
Adam Dekundy
Founder, Dekundy Group
Built as a demonstration by Dekundy Group
This is not an off-the-shelf product. It is the kind of system built around a business’s actual workflow.
Not every situation needs something this size, and the CA$49 audit is the honest way to find out which one yours is. Where a build is warranted, every implementation begins with agreed success criteria and is covered by the Dekundy Group Build Guarantee.
Not sure yet
Not sure something like this is what you need?
That is exactly what the CA$49 Personalized AI & Efficiency Audit is for. It will show you whether something like this is worth building, whether a tool you already have could solve the problem, or whether something much smaller would do the job.
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