Enterprise Agentic AI Engineering
AI Agent Development Services for Enterprise Workflows
Cybic designs, builds and deploys autonomous AI agents that plug into your systems and do real work. Governance, access control and audit trails are built in.
- Agents that reason, act and orchestrate work end to end
- Runs on AWS, Azure, Google Cloud, hybrid or on-prem
- RBAC, encryption and audit trails built into the design
No model training on your proprietary data. RBAC, encryption and full auditability.
Scope your AI agent build
Tell us the workflow you want an agent to run. Our engineers will review it and come back with a plan.
Why enterprises pick Cybic for AI agents
Agents that finish the job
We build goal-based agents that reason, call your systems and complete workflows, not demos that stall after a prompt.
Governed by design
Role-based access, encryption in transit and at rest, and traceable logs of every AI-driven action are part of the architecture.
Fits your stack
Infrastructure-agnostic delivery across AWS, Azure, Google Cloud, Snowflake and Databricks, in cloud, hybrid or on-prem setups.
Engineering-led delivery
Experienced engineers architect, build and integrate directly. The focus is working systems, not slide decks.
Connected to your data
We wire agents into ERP, CRM, data lakes and APIs so they act on current, governed enterprise data.
Compliance from day one
Builds align with GDPR, HIPAA, CCPA, SOC 2 and ISO requirements, and we do not train models on your proprietary data.
What our AI agent development services cover
We design and deploy autonomous AI agents that handle goal-based reasoning, workflow orchestration and multi-agent collaboration. Agents are built into your real operating environment, with the integrations, access controls and audit trails your teams and auditors need.
Our Drava platform connects enterprise data, machine learning, AI reasoning and intelligent agents in one governed system, with workflow orchestration and security controls included.
- Autonomous, goal-based enterprise AI agents
- Multi-agent systems where agents collaborate and run tasks in parallel
- AI workflow orchestration across teams and systems
- Intelligent claim processing and automated loan approvals
- Dynamic supply chain and multi-location logistics coordination
- RPA bots and intelligent document processing for invoices, email and HR tasks
- RAG knowledge retrieval and LLM document intelligence for agent context
- API, ERP and CRM integration so agents act inside existing workflows
Built for real enterprise environments
“Cybic became a true technology partner for SWFI, managing our entire digital ecosystem with precision and agility. Their end-to-end support—from full-cycle development and custom CRM builds to platform revamps and seamless multi-app deployments—significantly improved our site performance, reduced turnaround times, and ensured consistent scalability across all platform”
“Cybic transformed our Digital Tokenization platform into a high-performance application. The speed and usability gains we've seen post-revamp have elevated both our team's efficiency and our users' satisfaction.”
What happens after you submit
Share your workflow
Send the process you want automated, the systems involved and any compliance rules we need to respect.
Talk to an engineer
We review your use case, data and integrations, then map where agents can act safely and where humans stay in the loop.
Get a build plan
You receive a scoped plan with architecture, integration points, governance controls and delivery milestones.
Frequently asked questions
How is AI agent development priced?
Pricing depends on the workflows, systems, data and compliance work involved. We scope your use case first, then share a plan with clear deliverables so the cost matches the build.
Can agents work with our current ERP, CRM and data systems?
Yes. We build custom APIs and integrations that connect agents to ERPs, CRMs, data lakes, warehouses and LLM-powered tools so they act on live enterprise data.
Can the agents run on-prem instead of public cloud?
Yes. Our architecture is infrastructure-agnostic and runs in cloud, hybrid or on-prem environments across AWS, Azure, Google Cloud, Snowflake and Databricks.
How do you keep AI agents secure and auditable?
Governance is embedded at the architecture level: role-based access controls, encryption in transit and at rest, traceability of AI-driven actions, and alignment with GDPR, HIPAA, CCPA, SOC 2 and ISO.
Will our data be used to train models?
No. We apply strict data governance and do not train models on your proprietary enterprise data.
Who do you build agents for?
US enterprise and mid-market organizations, including oil and gas, manufacturing, healthcare, retail, public sector and BFSI. We do not build consumer-facing AI apps for individuals.
Put AI agents to work in your operations
Tell us the workflow you want to automate. Our engineers will review it and come back with a build plan covering architecture, integrations and governance.
- Agents that reason, act and orchestrate work end to end
- Runs on AWS, Azure, Google Cloud, hybrid or on-prem
- RBAC, encryption and audit trails built into the design