← Tuesday's Code

How Teams Execute Strategic Plans with AI 👥

Different roles, same strategy, zero alignment chaos

September 24, 2025
🎯 Strategy👥 4 Roles⚡ Real Workflows

Same OKRs. Four different dashboards.

Tuesday you saw the automation. Today you see how CEOs, strategy leads, department heads, and ops managers each use it differently. Same data, different decisions, better outcomes.

Team Workflows

🎯

Chief Executive

8 hours/week → 45 min/week

91%
Faster

Before

Read 40-page decks from each department (3 hours)
Schedule 6 alignment meetings to reconcile conflicts (4 hours)
Manually track progress in spreadsheets (1 hour)

After

Review AI-generated executive summary (10 min)
Check real-time OKR dashboard with risk alerts (15 min)
Focus on strategic decisions, not data gathering (20 min)
On Track
73%
At Risk
18%
Blocked
9%
Alignment
94%
Volume
Quarterly strategy reviews
Saved
7.25 hours × 52 weeks = 377 hours/year
Quality
94% cross-dept alignment vs 67% before
Outcome
Strategic thinking instead of status updates

"I finally see the whole picture without drowning in PowerPoint."

— CEO, 20 years executive leadership

How Roles Work Together on One Strategic Initiative

Watch how the system coordinates four roles to identify and resolve a blocker in real-time.

🚨

Product Launch OKR - 'Ship new AI feature by Q3'

⚠️
Engineering Head
Monday 9am
Updates dashboard: 'API integration delayed 2 weeks'
🤖
AI Agent
Monday 9:02am
Flags dependency: 'Product launch at risk. Marketing already committed to date.'
🔬
Strategy Lead
Monday 10am
Gets alert, schedules sync between Eng + Marketing + Product
📊
Department Heads
Monday 2pm
Meet, decide to phase launch: core feature on time, advanced features +2 weeks
🤖
Operations Manager
Monday 3pm
Updates OKR timeline, notifies stakeholders, adjusts downstream dependencies
🎯
CEO
Tuesday 8am
Reviews decision in dashboard, approves phased approach in 5 minutes
💡

What used to take 3 weeks of email threads and missed meetings now resolves in 24 hours. The system caught the conflict before it became a crisis.

Company-Wide Impact

MetricBeforeAfterImprovement
Strategy Cycle Time12 weeks (planning to execution)4 weeks
67% faster
Cross-Dept Alignment67% (frequent conflicts)94%
+27 points
Leadership Time on Admin55 hours/week (combined)14 hours/week
75% reduction
OKR Achievement Rate62% (many missed targets)87%
+25 points

Getting Leadership On Board

⚠️
Fear

CEOs think it will slow down decision-making with more data

💡
Response

Show executive summary view: 10 minutes to see everything that matters, not 8 hours reading decks

Result

CEOs get strategic clarity faster. Data becomes decision accelerator, not bottleneck.

⚠️
Fear

Strategy leads worry AI will replace their facilitation role

💡
Response

AI handles data aggregation. Humans facilitate difficult conversations and trade-off decisions.

Result

Strategy leads become true advisors, not data compilers. Role gets more strategic, not less.

⚠️
Fear

Department heads resist transparency (don't want everyone seeing their delays)

💡
Response

Frame as early warning system: 'Catch problems when fixable, not when catastrophic.'

Result

Transparency becomes safety net. Teams ask for help earlier instead of hiding issues.

⚠️
Fear

Ops managers fear learning curve will slow them down initially

💡
Response

Run parallel for 1 month: keep spreadsheets, add dashboard. Show time savings data weekly.

Result

After 2 weeks, ops voluntarily abandons spreadsheets. Savings are obvious.

⚠️
Fear

Executives worried about upfront implementation cost and disruption

💡
Response

Calculate ROI: 2,353 hours saved annually × $150/hour = $353k/year. 60-day payback.

Result

Show monthly savings chart. Investment becomes obvious when framed as time reclaimed.

🎯

Want This for Your Leadership Team?

We'll show your CEO, strategy lead, and department heads exactly how they'll use it. Custom demos for each role.