Blog post
2 mins
Healthcare
Trusted by 2 of the Top 5 US Healthcare Companies
Cost savings through process optimization
$50M
Call center savings
$28M
Reduction in process variability
20%
From guesswork to certainty
Know exactly which claims steps slow you down, so you stop guessing what to fix and focus where it counts.
From hidden to visible
See the bottlenecks, manual work, and process variation other tools miss across every application your teams use.
From reactive to proactive
Spot process problems before they reach members, and prevent issues instead of firefighting them.
Solve your biggest payer challenges
Claims excellence
Speed up claims and
cut cost per claim
- See exactly where claims get stuck, and why
- Cut claims processing time by up to 30%
- Reduce payment errors by identifying manual work and process variation
Enrollment & Billing
Streamline enrollment and billing
Simplify member and group onboarding steps
Cut processing time for group enrollments
Reduce billing errors and adjustments
“The depth and specificity of the data-driven insights delivered by Skan Al in 3 months would have taken a team of 8 six sigma blackbelts multiple years to put together.”
Experience Improvement
Serve members faster, with fewer repeat calls
Understand why members call multiple times about the same claim.
See which claims create the most follow-up calls.
Resolve issues faster to reduce member complaints.
Network Management
Bring providers on board faster
- Speed up provider credential verification
- Add providers to networks more quickly
- Reduce errors in provider data management
Frequently asked questions
Claims performance can be analyzed by observing how work flows across systems, rather than by reading the underlying patient records. Process intelligence platforms mask and redact sensitive fields, so teams can see where claims stall and why while keeping protected health information (PHI) secure and HIPAA-compliant.
Claims work spans many applications, including legacy systems, mainframes, and manual workarounds that tools built on single-system logs cannot see. A large share of claims activity often happens in applications those tools miss, which is why delays are difficult to trace without a complete view of how payer teams perform work across claims operations.
The most effective approach scores each activity by its impact on outcomes such as processing time and cost, not just how often it occurs, and by the level of risk and human judgment involved. That produces a prioritized roadmap that targets the highest-return automation first and keeps complex, judgment-heavy work with people.
Organizations often begin identifying bottlenecks within four to six weeks, with early improvements commonly focused on claims processing time, payment accuracy, and operational efficiency.
