Flieger is an AI engineering and consulting practice. We help teams design, secure and run AI systems that hold up in production — and we make the platforms we build available to use, so you can judge our work before you hire us.
Most AI projects stall between a promising pilot and a system people trust. That gap is architecture, security and operations — the work we specialise in.
AI strategy & roadmap
Find the use cases worth funding and the order to build them in.
Readiness and data assessment
Use-case selection and ROI cases
Build, buy or adapt decisions
Security & governance
Put controls where they are enforced, not just written down.
Tenant isolation and access-aware retrieval
Human approval for sensitive actions
Audit trails and AI-use policy
Solution architecture
Design systems on Azure that survive real load and real users.
Retrieval (RAG) with verifiable citations
Multi-model routing across providers
Agents and tools over MCP
Implementation
From proof of concept to production, built with your team.
Prototypes in weeks, not quarters
Integration with ServiceNow, SharePoint, Entra ID
Infrastructure as code and CI/CD
AI operations
Keep quality, cost and reliability measurable after launch.
Evaluation sets and quality gates
Per-model and per-task cost tracking
Monitoring and incident response
Training & enablement
Leave your team able to own and extend what we build.
Executive and practitioner workshops
Hands-on engineering pairing
Runbooks and handover playbooks
How we work
Five steps, with something you can use at the end of each.
Discover
Map the workflow, the data and the risk before any model is chosen.
Validate
Test feasibility on your own documents and agree how success is measured.
Build
Ship a working slice end to end, with tests and evaluations from day one.
Integrate
Connect identity, systems of record and monitoring, then go live.
Hand over
Train your team, document the system and step back.
What we've built
Proof, not slides.
Two platforms we designed and built end to end. Both are free to use. Try Lexon in the live sandbox now; its public repository is coming soon, and we share the code for either platform on request.
Lexon
Enterprise legal AI platform
Live sandboxApache-2.0Public repo coming soon
Legal AI for assistants, document vaults, research and workflow agents. Answers over your documents cite the passages they rely on, and Lexon flags any sentence that cites no source, so a lawyer can check each claim against the original.
Example answer
Either party may terminate for convenience on 90 days' written notice1, but fees for the notice period remain payable2.
1Master Services Agreement.pdfp. 18
AssistantCited chat and drafting over your documents.
VaultSecure repositories with review tables and cross-document Q&A.
KnowledgeResearch across connected sources with verifiable citations.
Workflow agentsNo-code, multi-step agents with human checkpoints.
AdminWorkspaces, permissions, usage analytics and audit logs.
Your modelsAnthropic, AWS Bedrock, Microsoft Foundry or Azure OpenAI.
Stack · Next.js · FastAPI · PostgreSQL + pgvector · Microsoft Entra ID · Azure
The sandbox runs on sample data with simulated model answers and resets nightly. No sign-up needed.
L1 Help Desk Agent
AI-staffed IT service desk
ServiceNowAzure AI FoundryAvailable to use
Employees describe a problem in plain language. The agent answers from your knowledge base first; if that fails, it opens a real ServiceNow incident, tries an automated fix, and resolves it or hands L2 a complete investigation.
One request, end to end
Knowledge base
INC0012345
Triage P1–P4
Automated fix
Resolved · or L2
The user gets live status updates at every step.
Security-trimmed answersKnowledge search filtered by each user's Entra ID groups, failing closed.
Real ticketsCreates, classifies and routes incidents in ServiceNow, the system of record.
Guarded automationPassword resets, unlocks and access requests under a policy engine, with human approval for sensitive actions.
One audited gatewayEvery ServiceNow call goes through a single MCP server with 24 tools.
Service managementSLA timers with auto-escalation, major-incident clustering and CSAT.
Knowledge that improvesUnanswered questions become a ranked backlog of articles to write.
Stack · OpenAI + Anthropic models · Azure AI Search · Cosmos DB · React · Bicep