Stage 1 results (0-39)

Advancing to Stage 2 requires minimal capital investment, but demands process changes and knowledge development. 

Start by acquiring at least one ADAS-capable scan tool that can perform pre-scan and post-scan diagnostics—several entry-level platforms can handle basic diagnostic work on common vehicle makes.

• Developing a system for identifying when calibrations are required. This might start as simple reference guides for your most common vehicles and repair types, documenting which procedures trigger calibration requirements based on OEM position statements.
• Establish a relationship with a reliable mobile calibration partner who can serve as both a sublet provider and training resource. Many mobile providers will demonstrate procedures on-site, helping your team build knowledge while still outsourcing the actual work.
• Begin documenting ADAS-related work in your management system, even if you're outsourcing it. Track which vehicles required calibrations, what was performed, and what it cost. This data becomes essential for making informed decisions about bringing work in-house.

Stage 2 results (40-59)

Moving from Stage 2 to Stage 3 represents the most significant transformation—moving from ad-hoc capabilities to systemati processes that reliably capture and monetize calibration work.

This advancement requires investment in both equipment and process infrastructure. You need comprehensive static calibration targets covering your most common vehicle makes, reliable ADAS-capable diagnostic platforms, and a designated space for calibration work even if it’s not yet a dedicated bay.

• Process improvements become critical at this stage. Implement software or systematic workflows for documenting calibration procedures, capturing labor time, and invoicing calibration work properly.
• Shift from reactive to proactive calibration identification by implementing VIN-specific ADAS decoding in your estimating process. This means researching vehicle configurations during initial estimates rather than discovering calibration requirements during disassembly.
• Develop formal training programs ensuring multiple technicians can perform common calibrations. This reduces bottlenecks and ensures consistent quality regardless of who performs the work.

Stage 3 results (60-69)

Advancing to Stage 4 requires optimizing both physical infrastructure and operational processes to maximize capture rate and margin per calibration.

Physical improvements center on creating dedicated calibration space with proper environmental controls, including a bay specifically designated for ADAS work with controlled lighting, alignment rack capability, and organized storage for full target sets across multiple manufacturers.

• Operational optimization involves implementing VIN-specific ADAS decoding. This software should use automated estimate logic that identifies all required calibrations and properly codes them for insurer approval. This reduces supplement rates and increases first-time capture.
• Develop OEM-backed documentation processes. These processes should integrate manufacturer procedures directly into work orders and quality checks, creating audit-ready records that satisfy insurer requirements and reduce claim disputes.
• Track calibration performance metrics systematically. These metrics should include capture rate by vehicle type, average revenue per calibration, margin by procedure type, and cycle time impact. Use this data to identify where processes can be streamlined or where additional training or equipment would improve profitability.

Stage 4 results (70-79)

The transition to Stage 5 represents a strategic shift and moving from internal optimization to external service provision. This requires operational excellence as well as business model optimization.

• Consider whether serving as a calibration sublet provider aligns with your overall business strategy. Market calibration services to other shops, develop pricing structures for wholesale work, and manage scheduling for external customers.
• Standardize capabilities and processes to the point where they could be replicated across multiple locations. This requires documented SOPs, mature liability management processes, and quality systems that work independently of specific individuals.
• Invest in advanced infrastructure. Examples include multi-bay calibration facilities with sophisticated environmental controls, AI-enabled camera systems, and automated target positioning that enables higher throughput and consistency.

Stage 5 results (80+)

Congratulations on being one of few shops that are at Stage 5! At this point, ADAS is a standalone revenue center with its own customers, its own P&L, and room to grow. Your processes are standardized, your documentation is airtight, and you're serving other shops as a sublet provider. You've built what most shops are still working toward.

Where most Stage 5 shops focus next

Scaling what's working and protecting your position as ADAS complexity grows. Those are the priorities at this level. 

That means sharpening your external service workflows, building out your sublet network relationships, and making sure your documentation and claims infrastructure can handle higher volume without adding overhead. 

It also means staying current as OEM procedures shift. 27% of ADAS jobs involve updated procedures since the last repair, and that number will keep climbing.

Revv is here to help Stage 5 operations manage the complexity that comes with volume at this level. You can track calibration jobs across multiple partner locations, manage intake from different sources, and give referring shops the documentation they need to submit clean claims without adding admin overhead to your team.