Step 1
Sales source
Pipeline value, lead source, stage age, expected close dates, and follow-up gaps.
Representative implementation case study
Build one executive control tower for the whole service business.
A service business often has sales, delivery, finance, and support data spread across different tools. This representative case study shows how Moss Agentic would connect those signals into an executive dashboard that reveals performance, capacity, risk, and next actions in one trusted view.
Executive control tower
Department health
Risk alerts
Power BI / Looker-style executive demo
Executive Control Tower
Synthetic live demo
Active view
Overview is now focused on the full leadership control tower. 5 filtered records in focus.
Overview score
76%
5 focused rows
Needs review76%
Overview actions
24
Review queue active
Risk rising100%
Overview trend
-5%
Needs review
Risk rising30%
Operating performance movement
All executive records remain in view. Updates as filters and tabs change.
5 filtered rowsRisk strip: green / amber / red
AI decision layer
Blocked
Risk risingAI summary: the overview balances operating score, open risks, and trend direction. Current focus: project handoffs is marked "blocked". 5 filtered records in focus.
The operating problem
Leadership could see pieces of the business, but not the operating picture.
Sales had pipeline data. Delivery had project status. Finance had invoices. Support had customer signals. Each view was useful on its own, but leadership needed one trusted control tower for the decisions that cut across departments.
Before automation
Ask each department for separate updates
Compare pipeline and delivery capacity manually
Find cash or support risk late
Use status meetings to gather facts
Make decisions from fragmented dashboards
After automation
Connect sales, delivery, finance, and support data
Show executive KPIs and operational risk together
Surface bottlenecks and overdue handoffs early
Give each department a useful drill-down view
Use meetings to decide, not collect updates
System architecture
From department dashboards to one executive operating layer.
The control tower connects source systems into a shared reporting model, then presents the business at the right level for leadership: performance, capacity, cash, customer risk, and action ownership.
Step 2
Delivery source
Projects, milestones, blockers, workload, due dates, and handoff status.
Step 3
Finance source
Invoices, overdue payments, recurring revenue signals, and cash collection risk.
Step 4
Support source
Ticket volume, escalation signals, common issues, response time, and customer risk.
Step 5
Reporting model
Department data is joined into executive definitions and risk categories.
Step 6
Control tower
Leadership sees what changed, what is constrained, and who owns the next action.
Power BI / Looker-style executive demo
Executive Control Tower
Synthetic live demo
Active view
Overview is now focused on the full leadership control tower. 5 filtered records in focus.
Overview score
76%
5 focused rows
Needs review76%
Overview actions
24
Review queue active
Risk rising100%
Overview trend
-5%
Needs review
Risk rising30%
Operating performance movement
All executive records remain in view. Updates as filters and tabs change.
5 filtered rowsRisk strip: green / amber / red
AI decision layer
Blocked
Risk risingAI summary: the overview balances operating score, open risks, and trend direction. Current focus: project handoffs is marked "blocked". 5 filtered records in focus.
Dashboard experience
The dashboard helps leadership decide what deserves attention now.
The executive view prioritizes signals that change behavior: pipeline pressure, delivery capacity, overdue work, cash risk, support escalations, and bottlenecks that need ownership.
Leadership gets a single operating view across departments.
Department views drill into the signals behind each executive metric.
Bottlenecks are visible before they become client or cash issues.
Meetings start with aligned facts and move faster into decisions.
AI-assisted operations
AI turns the control tower into a sharper decision layer.
AI can summarize what changed across departments and prepare review prompts that help leadership focus the meeting on the highest-value decisions.
Cross-functional summary
Explains how sales, delivery, finance, and support signals changed together.
Bottleneck alert
Highlights where one department trend may create pressure elsewhere in the business.
Decision prompts
Suggests the questions leaders should ask based on current risk and ownership signals.
Moss Agentic delivery
How Moss Agentic would build the control tower.
The build starts by selecting the decisions that leadership actually repeats, then creating the reporting layer and dashboard hierarchy that supports those decisions without clutter.
01
Define executive decisions
Identify which recurring questions leadership needs answered across sales, delivery, finance, and support.
02
Unify department data
Map source systems, metric definitions, owner fields, date logic, and exception categories.
03
Design the control tower
Create an executive view with department drill-downs and visual hierarchy built for scanning.
04
Add alerts and summary logic
Surface bottlenecks, stale handoffs, cash risk, and AI-assisted meeting notes for review.
Build the same operating advantage
If leadership needs five tools to understand the business, the operating system is too fragmented.
Moss Agentic can connect the signals into one executive dashboard that makes performance, capacity, and risk easier to act on.