Internal SOP access
Retrieve steps from approved operating procedures and keep the cited source available for review.
- Good input: curated SOPs
- Useful outcome: faster verified lookup
Use cases
Start with the work. Then choose the product.
A credible pilot begins with a specific operator, approved inputs, an operating boundary, and a useful outcome—not a generic promise that software will solve everything.
Knowledge workflows
Make approved internal material easier to use.
Riftline Private AI is the strongest current fit when the problem is finding answers inside a controlled document set.
Business document search
Search a bounded internal library without treating the entire organization as one unrestricted corpus.
- Good input: approved document sets
- Useful outcome: less manual hunting
Onboarding and policy questions
Answer routine questions from synthetic or approved handbooks while preserving the source trail.
- Good input: reviewed handbooks
- Useful outcome: consistent reference
Visual operations
Review local camera events with explicit limits.
SentryVision is an R&D exploration path for organizations prepared to define approved inputs, zones, event rules, and how operators will validate results.
Operational event review
Explore how local detections become reviewable events with timing, lifecycle, and provider context.
- Good input: approved test source
- Useful outcome: event workflow evidence
Zone and line workflows
Test whether defined visual geometry helps focus attention on movement relevant to a site.
- Good input: controlled test scene
- Useful outcome: measurable event quality
Camera health visibility
Review connection state and event history without implying perfect detection or continuous availability.
- Good input: approved camera endpoint
- Useful outcome: clearer operational state
Verified spatial intelligence · Primary R&D
Preserve what is known about physical sites.
Riftline Spatial is a planning and research direction for turning site evidence, hazards, routes, discrepancies, and confidence into reviewable spatial records.
Site evidence review
Associate observations with locations and provenance so a reviewer can distinguish measured facts from assumptions.
- Good input: approved site records
- Useful outcome: traceable spatial evidence
Hazard and restriction mapping
Represent reviewed hazards and restricted areas without allowing an unverified observation to grant new movement permission.
- Good input: reviewed restrictions
- Useful outcome: machine-readable constraints
Change and discrepancy review
Compare observations over time and surface conflicts for human assessment.
- Good input: dated observations
- Useful outcome: explicit confidence and discrepancy state
Pilot fit
Small and mid-sized organizations can start with one bounded problem.
The right organization size is less important than having an accountable pilot owner, approved inputs, time for feedback, and a decision the pilot can inform.
- Named operational owner
- Specific workflow in scope
- Approved data or test devices
- Defined deployment boundary
- Useful success criteria
- Time for structured review
Fit boundaries
What these examples do not promise.
No use case on this page is a certification, regulated-industry compliance claim, life-safety guarantee, public-safety assurance, or statement of general availability. Deployment scope and product maturity must be reviewed directly.
Bring a use case