Run intelligence workflows where cloud access is constrained
Airgapped and edge environments need local analysis, controlled AI and evidence persistence without assuming permanent cloud connectivity.
Product view
Run governed intelligence where connectivity is constrained
AIF can carry the same case, evidence, Skill and review model into local, isolated or edge environments where cloud assumptions do not hold.
Local
Analysis inside constrained or isolated environments
Models
Customer-approved or local AI paths
Evidence
Persistent case records and artifacts
Sync
Controlled transfer paths and review gates
DEPLOYMENT TOPOLOGY
Same operating model, different sovereignty boundaries
What constrained teams get back
Mission fit
Local continuity
Controlled AI
Explicit synchronization
Where cloud-first workflows fail
Airgapped and edge teams cannot rely on permanent cloud connectivity, external APIs or unrestricted model paths.
AIF makes those constraints part of the workflow design. Cases, evidence, Skills, local AI assumptions and synchronization rules are mapped before the deployment promise is made.
FIELD WORK
Local analysis
Support analysis workflows where connectivity is limited or unavailable.
MODEL BOUNDARY
Controlled AI
Use local or customer-approved model paths where mission policy requires it.
CASE RECORD
Evidence persistence
Keep findings, tool outputs and reports available inside the constrained environment.
TRANSFER PATH
Sync assumptions
Define what can move, when it can move and which review gates apply.
Use cases
Airgapped and edge workflow
Use this pattern when intelligence work must operate locally, in isolation or at the edge without losing reviewability.
Field Ops
Airgapped & Edge Intelligence
Airgapped and edge environments need local analysis, controlled AI and evidence persistence without assuming permanent cloud connectivity.
Explore workflowIndustries
Capabilities
Outputs
Product view
Preserve case work inside the constrained environment
Local analysis, tool outputs, reports, review notes and approved synchronization paths can remain tied to the case record.
Intake
Local data, source material or field request
Analyze
Approved local tools, Skills and model paths
Preserve
Evidence, notes and generated outputs
Transfer
Reviewed sync package when allowed
CASE TO EVIDENCE FLOW
Every output remains attached to the case
Trust model
Built for constrained deployment review
Airgapped and edge workflows require explicit controls around capability parity, data movement and model assumptions.
Environment boundary
State where the workflow runs and what cannot leave.
- Airgap
- Edge
- On-prem
Model control
Match AI paths to mission and customer policy.
- Local AI
- Approved models
- No cloud dependency
Evidence persistence
Keep outputs available inside the constrained environment.
- Case record
- Artifacts
- Reports
Sync governance
Define transfer rules before deployment.
- Review gates
- Controlled package
- Audit trail
Validate constrained deployment fit
Bring hosting, connectivity, model and synchronization constraints into the first conversation.