Intelligent request handling
Classify incoming requests, extract context, retrieve knowledge, recommend action and route exceptions.
AI engineering
AI development built for real work.
From focused copilots to tool-using agents and end-to-end workflow automation, Petrisys builds AI systems that are grounded, observable, secure and connected to the systems where work happens.
Core capabilities
Build the AI layer your business actually needs.
We design the application, orchestration and operational controls around the model—not just the model call itself.
01
AI applications & copilots
Custom interfaces that help teams search, summarize, draft, classify, analyze and make decisions using the context of your organization.
02
Agentic AI systems
Goal-oriented agents that plan multi-step work, choose approved tools, retrieve information, call APIs, coordinate specialized agents and escalate when human judgment is needed.
03
AI workflow orchestration
Reliable business processes that combine LLMs, deterministic rules, data validation, integrations, human approvals, queues and audit trails.
04
Enterprise knowledge & RAG
Retrieval systems that ground answers in approved documents, databases and internal sources with permissions, citations and relevance controls.
05
AI evaluation & observability
Quality testing, tracing, prompt/version management, feedback loops and measurable checks for accuracy, cost, latency and business outcomes.
06
AI integration & modernization
Add AI capabilities to existing portals, APIs, back-office tools and data workflows instead of rebuilding everything from scratch.
Agent architecture
Agents need boundaries as much as intelligence.
Petrisys treats permissions, tool access, validation, logging and escalation as first-class design decisions.
Reasoning & orchestration
Break complex goals into smaller steps and coordinate the right actions in the right order.
- Task planning and routing
- Single-agent or multi-agent patterns
- State, memory and context strategy
Tools & integrations
Connect agents to approved capabilities instead of letting them operate without clear boundaries.
- APIs and internal services
- Databases and search
- Ticketing, CRM and document workflows
Safety & governance
Control what an agent may read, decide and change, with explicit checks for sensitive steps.
- Role-based permissions
- Human approval gates
- Input/output validation and policies
Operations & evaluation
Measure the system in production so reliability improves as real usage grows.
- Tracing and auditability
- Quality and regression tests
- Cost, latency and outcome monitoring
Use cases
Where AI workflows can create leverage.
The strongest opportunities are usually repeatable processes with high information load, clear actions and measurable outcomes.
Internal research assistant
Search across approved content, compare sources, summarize findings and produce traceable answers.
Document processing
Extract, validate, transform and route information from contracts, forms, reports and operational records.
Service copilots
Give teams relevant context, suggested responses and next-best actions while preserving human control.
Technical workflow agents
Assist with diagnostics, documentation, release workflows, infrastructure changes and repetitive engineering tasks.
Decision support
Bring together data, business rules and natural-language analysis to help people make informed decisions faster.
AI discovery
Start with the workflow, not the hype.
We can map the current process, identify where AI adds real value, define controls and turn the opportunity into a practical build plan.
Plan an AI engagement →