Enforcement OS
Execution becomes enforceable before it's too late
ShiftFocus enforces execution using policy + routing + evidence—so slippage is corrected before it becomes a quarter miss.
Policy Engine
Escalation Ladder
Intervention Log
shiftfocus.app/enforcement/event/2847
Enforcement Event #2847
Resolved
1
Policy triggered
Dependency Law: Blocked 48h+
API integration blocked • Timeline: Q1 Product Launch
2
Routing executed
Escalated to: Dependency Owner + Ops Lead
Level 2 escalation • Notified at 9:15am
3
Intervention created
Action: Scope adjustment (3 features → 2 features)
Approved by: VP Product • Completed at 2:30pm
4
Evidence logged + Exec brief updated
Timeline impact: ↓ 40% scope, recovered 2 weeks
Risk level: High → Medium • Launch date maintained
Total resolution time: 5h 15min
View full audit trail
What enforcement looks like in practice
A single enforcement event, end-to-end
1. Rule triggers
Check-in missed, blocked 48h+, confidence drops
2. Routing happens
System routes to minimum effective authority
3. Intervention
Scope change, owner swap, escalation
4. Evidence
Logged + exec brief auto updates
This happens automatically. No meetings. No chasing. No memory.
Your org already has enforcement
It's just broken and human-powered
TODAY (Human enforcement)
Chiefs of Staff chasing updates
Meetings = escalation engine
"Green" as coping mechanism
Execs learn when it's too late
WITH SHIFTFOCUS (System enforcement)
Policy triggers automatically
Routing to minimum authority
Interventions logged as evidence
Execs get early signal
If enforcement depends on humans, it fails at scale.
How enforcement saves a quarter
Earlier decision windows → fewer late escalations
Problems surface at first signal, not three weeks later when options narrow.
Blocked dependencies resolved faster → less hidden slippage
Routing pulls in the right person immediately, not after repeated check-ins.
Interventions logged + repeated → fewer repeated failures next quarter
Evidence shows patterns. Next quarter's policy gets tighter based on what actually happened.
Pilot metrics we track weekly
Decision windows created
Blocked dependency time (hrs)
Late escalations avoided
Exec review time saved (min)
THE SYSTEM
4 primitives that define enforcement
If a product can't do all four, it's not enforcement—it's status tracking.
Rules
What "good execution" means here
see real example ->
Routing
Who gets pulle in, When
see real example ->
Interventions
What changes execution trajectory
see real example ->
Evidence
What changed, Who approved, What happened after
see real example ->
POLICY ISN'T SETTINGS. POLICY IS LAW.
Define execution law. ShiftFocus enforces it.
Build policies that trigger interventions automatically.
Every policy captures trigger conditions, grace windows, routing logic, and evidence requirements.
Cadence Law
If check-in missed → require update; repeated misses escalate
Confidence Law
If confidence decays 2 weeks → recovery plan required
Dependency Law
If blocked 48h+ → route to dependency owner + Ops
Capacity Law
If overload persists → force scope/capacity tradeoff
Executive Law
If risk crosses threshold → auto-generate decision packet
Policy Builder
Policy Name
Weekly Cadence Enforcement
Scope
Org-wide • Except Sales
Trigger
Check-in missed
Grace window
12 hours
Action
Require 30-sec check-in → escalate to Ops if skipped
Evidence
Log intervention + update exec brief
Noise controls (rate limits)
Quiet hours (weekends)
Override with reason
Approval required (L2+)
Enabled
Enabled
Allowed
Required
MINIMUM EFFECTIVE AUTHORITY
Enforcement is routing, not nagging
Executives only get pulled in at Level 3—decision window only.
ShiftFocus doesn't "notify everyone." It routes to the minimum effective authority required to resolve the issue.
Routing Ladder
0
Owner
Private
1
+ Collaborator
One-tap
2
Ops/CoS
Pattern risk
3
Exec
Decision only
0
Owner (private)
1
First line of resolution. Issue stays contained.
1
Owner + Collaborator
1
Peers can unblock immediately without ceremony.
2
Ops/CoS
1
Escalation happens when patterns emerge, not on first slip.
3
Exec sponsor
1
Reserved for true decision moments requiring authority.
Who gets alerted
1
Missed check-in
L0 → L1
Blocked dependency
L1 L2
Capacity overload
L2 → L3
Risk + no mitigation
L2 → L3
EVIDENCE, NOT MEMORY
Every intervention becomes evidence
No more "why did we miss?" debates.
Intervention Log
Time
Trigger
Policy
Action
Approved by
Impact
Dec 15, 14:30
Blocked 48h+
Dependency Law
Escalate to API team
Ops Lead
↓ 25%
Trigger Details
API integration dependency blocked for 52 hours
Policy Applied
Dependency Law: Auto-escalate after 48h block
Action Taken
Escalate to API team • Completed by Ops Lead
Approval Trail
Owner → Ops Lead → Dependency Owner (3h resolution)
Before/After Risk
High
Medium
Links to Artifacts
Dec 14, 09:15
Confidence drop 2wk
Confidence Law
Recovery plan required
Owner
↓ 15%
Dec 13, 16:45
Capacity overload
Capacity Law
Scope: 3→2 goals
VP Product
↓ 40%
Your QBR writes itself from evidence—not memory
WHAT ACTUALLY CHANGES OUTCOMES
Status doesn't change outcomes. Interventions do.
ShiftFocus enforces intervention types, not just updates.
Scope tradeoff
TRIGGER
Capacity less than committed work
Team overcommitted by 50% → PM forced to cut 40% scope within 24h → Sprint delivered 96% vs 65% typical
Owner reassignment
TRIGGER
Owner unresponsive 72h+
AE went dark on $850K deal → Manager auto-notified → Deal reassigned in 2h → Closed 5 days faster
Dependency escalation
TRIGGER
Blocked 48h+
Backend blocked 2 weeks waiting on API spec → Auto-escalated to Eng Director → Unblocked in 3 days
Capacity reallocation
TRIGGER
Team overload 3+ weeks
Team at 30% efficiency due to context switching → Manager forced to consolidate → Jumped to 75% efficiency
Timeline re-baseline
TRIGGER
Consistent misses (3+ weeks)
Team missing dates 3 weeks straight → Forced re-estimation session → Forecast accuracy ↑ 35%
Risk acceptance
TRIGGER
High risk with no mitigation
Critical dependency with no backup plan → VP forced to explicitly accept or mitigate → Decision logged in audit trail
Run enforcement without ripping anything out
90-day parallel pilot
Keep Workboard/Quantive as-is
No disruption to existing workflows
Compare outcomes weekly
Side-by-side measurement of what changes
ShiftFocus runs enforcement + evidence
Parallel system capturing interventions
Week 12: go/no-go with proof
Data-driven decision, not vendor promises
Week 1
Security + scope review
Week 2
Baselines + policy config
Week 3
First decision window
Week 4
Intervention impact review
Week 5-8
Signal validation (routing accuracy)
Week 9-11
Intervention patterns emerge
Week 12
Go/no-go decision with proof
If we can't create leverage inside a quarter, don't roll it out.
OPS METRICS, NOT ROI FLUFF
What you can verify in 30 days
Decision windows created
(count)
Blocked dependency time
(hours)
Late escalations avoided
(count)
Exec review time saved
(minutes)
QBR prep time saved
(hours)
Intervention impact
(tracked)
RISK-FREE VALIDATION
90-day parallel pilot
Execution becomes enforceable the day you install policy
Start your 90-day parallel pilot today