Operations Sprint deploys one production automation integrated with existing systems or we work with you to deploy a customized solution unique to your business operations.
Operations
Sprint
Production Automation For Mid-Market Operations.
85% of AI automation pilots fail to reach production. The problem isn't technology, it's deployment discipline.
Mid-market operations face repetitive processes consuming 15-20 hours weekly, but existing solutions don't address the segment. Enterprise consultancies optimize for transformation at engagement minimums most businesses can't meet. DIY platforms require technical resources operations teams don't maintain. Custom development provides flexibility without scope or delivery commitments.
Innovizz Operations Sprint deploys production-ready automation for single high-impact processes. Fixed scope. Measured outcomes. Deployment discipline built in.
Seven Automation Packages
Choose the Package With Highest Operational Impact:
Deployment includes: System integration, exception handling, team training, 60-day post-launch optimization.
Delivery Model & Execution Discipline
Delivery Timeline
Typical engagement duration: 8-12 weeks depending on integration complexity, system architecture, and data readiness.
Weeks 1-2
Assessment & Baseline
System audit, integration point mapping, business rule definition, baseline metric establishment. Scope approval precedes development.
Weeks 3-6
Development & Integration
Automation framework configuration, system connection, business logic implementation. Progress visibility maintained throughout build phase.
Weeks 7-9
Testing & Refinement
Internal testing, user acceptance testing with client operations team, edge case handling. Production deployment occurs when reliability standards are met.
Weeks 10-12
Deployment & Optimization
Team training (end users and administrators), production deployment, monitoring setup, real-world usage refinement.
// Timeline adjusts based on number of integration points, API availability, data structure consistency, and client team scheduling constraints.
Prerequisites for Engagement
Operations Sprint requires three non-negotiable readiness conditions to ensure architectural success.
01
Validated Opportunity
AI Readiness assessment (completed via Bridge engagement or equivalent validation) confirms ROI case and identifies integration requirements.
02
System Access
Integration depends on API credentials, authentication access, and structured data. Systems that can't be accessed can't be automated.
03
Operational Sponsor
Someone within the client organization commits to team training, adoption enforcement, and post-deployment feedback.
Performance Commitment
Deployed automation must demonstrate minimum 5 hours weekly time savings or $5,000 annual cost reduction within 90 days of production deployment, measured against baseline operational metrics established during initial assessment.
Investment Scoping
Engagements are scoped during the Operations Strategy Call based on three complexity factors:
-
Integration Architecture
Number of systems, API availability, data structure consistency, authentication requirements.
-
Workflow Sophistication
Simple routing logic versus multi-step decision trees with conditional branching and exception handling.
-
Team Scale
Single-user deployment versus department-wide adoption with role-based permissions and training requirements.
Investment details provided after operational requirements are understood. No hidden fees. No scope expansion. No pricing ambiguity.
NEXT STEP
Operations Strategy Call
The engagement begins with a 30-minute Operations Strategy Call to:
- AI-Powered marketing strategies
- Live customer support chat widget
- Automatic scaling campaign tools
- Adaptive testing/reporting
No sales pressure. No obligation. Honest assessment of deployment feasibility and measurable outcomes.
READINESS
VALIDATION
Alternative Starting Point
Operations Sprint requires validated automation readiness. For organizations uncertain whether current processes are ready for automation deployment:
Begin with AI Readiness Bridge
4-6 week diagnostic engagement that validates ROI case, identifies integration requirements, and confirms operational readiness for production deployment.
Schedule Your Call