AI agents Design & Orchestration
A layer of AI agents around your systems of record.
Consulting and deployment. Insurance, finance, logistics.
Discuss a use case →Execution diagram
AI agents live0
Tool calls0
Decision·
Cycle·
One typical run: event, triage, fan-out into lead agents and their workers, calls into the existing systems, decision, write-back. Hover a system to isolate what touches it.
01Consulting and deployment
Strategy and build, by the same people.
Advisory
Your AI foundations
We go back through the technical choices that will commit you for years to come: models, orchestration, data access, autonomy boundary, build or buy. Then we write the target architecture with you.
Deployment
We build it ourselves
Autonomous systems of your own, or AI agents orchestrated across the providers you have already chosen. Integration with the systems in place, guardrails, evals, traces, through to production.
The engagement is sized to the scope, from a single use case to ongoing support. The code, the evals and the runbooks are yours.
02Sectors
Insurance
- FNOL triage and straight-through processing
- Assisted underwriting
- Bordereaux and policy servicing
Guidewire · Duck Creek · ACORD · DMS
Finance
- Perpetual KYC
- AML alert adjudication
- Credit memos and reconciliation
Temenos · Finastra · ISO 20022 · Data lake
Logistics
- OTIF and detention exceptions
- Disputes and penalties
- Customs and non-conforming EDI
TMS · WMS · EDIFACT · SAP S/4
03Stack
Models
- Claude
- GPT
- Mistral
- Llama
- on-premise
Orchestration
- Claude Agent SDK
- MCP
- A2A
- LangGraph
- Temporal
- agent gateway
Existing systems
- REST
- SOAP
- Kafka
- EDIFACT
- SFTP
- OCR
- RAG
Governance
- evals
- golden sets
- guardrails
- OpenTelemetry
- cost per task
- audit trail
04Contact
Describe the process in three lines.
contact@veridisquo.studio
Partners Philippe & Sami
Agents in production since 2025
Languages FR · EN