Illustrative case study / PLANERGY AI methodology example
SEEING THE BOARD
What 30 Days of Workforce AI Adoption Can Reveal
Most organisations see AI one tool, one team or one experiment at a time. PLANERGY AI looks across the organisation. By examining work at individual, role, team and department level — then cross-referencing those perspectives — PLANERGY AI can reveal patterns that are difficult to see from inside any one function.
The result is not simply a list of AI opportunities. It is a clearer view of the board.
01 — The pieces
30 people. 30 perspectives.
Each participant contributes structured information about the work they actually do — not a survey of opinions, but evidence about how the organisation operates.
Recurring work
Workflow friction
Current AI use
Time spent
Handoffs
Checking and rework
Approvals
Systems and tools
Capability and confidence
Opportunities for improvement
Confidential participant responses remain appropriately protected and are not simply exposed to management. The purpose is to understand the work — not to monitor individuals.
02 — The patterns
Individual observations become organisational patterns.
PLANERGY AI cross-references participant information across five levels — so what one person experiences can be tested against what the whole organisation is doing.
- Individual
- Role
- Team
- Department
- Organisation
Duplicated work
Parallel reporting
Repeated data entry
Repeated checking
Unnecessary handoffs
Reformatting between departments
Fragmented AI use
Capability concentrated in particular people
Skilled staff performing low-value administrative work
Bottlenecks
Inconsistent processes
Repeated approvals
System gaps
Potential overcompensation
Repetition is not automatically waste.
PLANERGY AI does not automatically classify repeated work or controls as waste. Apparent duplication may be intentional and necessary for:
- Governance
- Segregation of duties
- Financial controls
- Safety
- Quality assurance
- Regulatory requirements
- Human accountability
PLANERGY AI identifies the pattern, investigates why it exists, and distinguishes necessary control activity from potentially unnecessary compensating work.
03 — Overcompensation
When people compensate for the system
People are resourceful. When a process, handoff or system falls short, capable staff quietly absorb the gap — and the organisation keeps moving, often without noticing why.
Weak data process
Multiple teams end up verifying the same information because no one fully trusts its source.
Unreliable handoff
Extra meetings appear so people can confirm what the handoff should have made clear.
Poor system integration
People manually re-enter the same data between systems that were never connected.
Low trust in reporting
Several layers of checking accumulate around numbers nobody fully believes.
Unclear process
Experienced staff compensate through personal knowledge, private spreadsheets and workarounds.
These behaviours may keep the organisation functioning — but they can conceal the underlying structural problem. PLANERGY AI looks for the root workflow issue before recommending automation.
Automating compensation is not the same as improving the system.
04 — Illustrative example
From 30 people to one board.
A fictional organisation with 30 program participants across Operations, Finance, HR, Customer Service and Management.
Illustrative / synthetic example — not client results
30
program participants across five departments
~80
individual workflow observations initially surfaced
Fewer
shared organisational patterns after cross-referencing — many observations point to the same underlying causes
Illustrative / synthetic example — not client results
Reporting & assurance pattern
11 participants. Three departments. One pattern.
Eleven participants across Finance, Operations and Management identify related reporting activities. The observed pattern:
- Entered
- Reformatted
- Checked
- Summarised
- Checked again
- Management reporting
Potential overcompensation
Three verification stages may be compensating for one underlying data-confidence issue.
Illustrative workforce burden
Approximately 30 hours per month across the sampled workflows.
Potential response
Investigate the underlying information flow before creating separate AI automations for each individual task.
Human judgement retained
Final interpretation, exception handling and management approval.
05 — The position
See the organisation as a system.
PLANERGY AI combines the evidence into a single organisational view — the position on the board.
06 — The moves
Not every opportunity should be automated.
Once the board is visible, PLANERGY AI helps determine the right move for each part of the position.
What should remain human
What AI can assist
What can be standardised
What requires workflow redesign first
What requires stronger controls
What should not be automated
What can be implemented now
What belongs in the next 90-day position
The objective is not maximum automation. The objective is better organisational performance through practical, responsible and measurable AI adoption.
07 — Measurement
Measure the new position.
PLANERGY AI compares baseline and post-implementation evidence so change is demonstrated rather than assumed.
Workflow time
Frequency
Adoption
Repeat use
Quality
Rework
Implementation status
Governance controls
Observed capacity released
Observed evidence and extrapolated estimates are always kept separate. Time released is reported in hours and is not equated with cash savings unless an approved financial model supports that conclusion.
08 — The 30-day view
From thirty participants to the next position.
The complete journey — from individual evidence to a governed, measured organisational view.
- 0130 Participants
- 02Work + AI Assessment
- 03Workflow Discovery
- 04Cross-Participant Analysis
- 05Cross-Department Patterns
- 06Opportunity Map
- 07Controls + Approval
- 08Workflow Implementation
- 09Measurement
- 10The Board
- 1190-Day Next Position
See the board before you decide the next move.
AI adoption becomes more valuable when leaders can see more than individual tools and isolated experiments. PLANERGY AI helps organisations understand how work, people, systems, controls and AI interact — then turn that understanding into practical action and measurable improvement.