The control layer for enterprise AI.
Documents, knowledge, and workflows become one governed pipeline — retrieval, reasoning, tool use, and human review, fully audited.
Claude · Bedrock
streaming · healthy
us-east-1
VPC · private link
1,240
chunks · 12 sources
48 passed
0 blocked · tool scopes
2 pending
awaiting sign-off
0.9s
320 tok/s · p95
> source_context_loaded
Sources
Connected systemsContext Engine
Document AI + RAGClaude Reasoning Core
AWS Bedrock · controlled accessGrounded answer from 12 retrieved sources
Agent
Tool use + policyHuman Review
HITL checkpointsOutput
Audit readyOne governed AI layer for document-heavy enterprise work
Stonlink connects document ingestion, permission-aware retrieval, Claude reasoning, tool-controlled agents, human review, and audit-ready outputs in one enterprise operating layer.
Read and structure complex documents
Contracts, policies, claims packets, reports, and due diligence files.
Answer from trusted knowledge
Permission-aware RAG with source citations and escalation paths.
Execute controlled workflows
Agents plan steps, call tools, and route sensitive actions to reviewers.
Record every decision
Structured outputs, audit logs, evaluation sets, and usage analytics.
Three AI modules on a shared governed foundation
AI Document Intelligence
Turn contracts, policies, and diligence packets into structured, reviewable data — with every field traced back to its source clause.
Workflow examples
- Review an MSA for liability, renewal, and obligation risk.
- Compare policy versions and extract structured changes.
- Process diligence documents into issues, entities, and summaries.
How it works
- 1Ingest
- 2Extract
- 3Flag risk
- 4Human review
- 5Export JSON
Capabilities
- Long-document summarization
- Clause and obligation extraction
- Risk issue detection
- Multi-document comparison
- Structured output
Connects with
- SharePoint
- S3
- iManage
- DocuSign
Runs on Claude via AWS Bedrock inside your cloud, with RBAC, audit logging, and human-in-the-loop review built in.
Book a walkthrough of this moduleClaude on AWS Bedrock, connected through a governed enterprise AI layer.
A technical control layer for document intelligence, RAG knowledge answers, agent tool use, human review, and audited outputs.
Enterprise Sources
Documents + systems
contracts / claims / CRM / ERP
Context Engine
Parse · chunk · classify
clauses / entities / obligations
Permission-aware RAG
ACL-aware retrieval
source citations / row ACLs
Claude Reasoning Core
AWS Bedrock · controlled accessGrounded reasoning with cited context
Agent Orchestration
Plan · call · review
tool scopes / connector calls
Human Review
HITL control
approve / edit / reject
Audited Outputs
Structured + logged
JSON / write-back / audit logs
This is an implementation pattern, not a fixed deployment requirement — each layer adapts to your cloud, data, and compliance posture.
Governance built into every answer and action
Access, grounding, review, and monitoring are core platform capabilities, applied to every retrieval, generation, and system action, not bolted on afterwards.
Access
- Role-based access
- Permission-aware retrieval
- Data boundary controls
Grounding
- Source citations
- Document context
- Answer traceability
Review
- Human approval
- Sensitive action checkpoints
- Edit, approve, reject
Monitoring
- Audit trails
- Evaluation sets
- Usage and quality analytics
Security architecture is adapted to each customer's cloud, compliance, and operating requirements.
Industry workflows built on the same governed AI layer
Each workflow maps source content to grounded AI processing, human review, structured output, and audit evidence.
| Workflow | Intake | AI processing | Review | Business output | Audit signal |
|---|---|---|---|---|---|
Legal and compliance contracts / policies | MSA + policy set | clause extraction | legal approval | redline summary | trace captured |
Insurance and finance claims / reports | claims packet | risk summary | underwriter check | case update | evidence linked |
Customer operations tickets / knowledge | support ticket | RAG answer | refund exception | agent handoff | conversation log |
Enterprise operations approvals / CRM / ERP | process request | agent plan | HITL gate | CRM / ERP write | audit trail |
Live trace
workflow.legal.redline → review.approval → output.summary
Governance
ACL passed · citations attached
Review queue
3 items pending
From pilot to production without losing control
- 01
Discover
Map workflows, document types, systems, and risk thresholds.
- 02
Prototype
Build a focused AI workflow with representative data and evaluation criteria.
- 03
Integrate
Connect enterprise systems, permissions, review queues, and analytics.
- 04
Operate
Monitor quality, usage, exceptions, and business impact.
Build your first governed AI workflow with Stonlink.
Start with one high-value workflow. Stonlink helps map the process, evaluate AI quality, integrate the required systems, and move it into production with governance controls.
- Map one high-value document, knowledge, or process workflow.
- Evaluate AI quality against your data with an eval set.
- Integrate the required systems and governance controls.
- Move to production with human review and audit trails.
Prefer email? hello@stonlink.com