For BFSI · Healthcare · Government
Your Data Doesn't Leave Your Building. Neither Do Your AI Employees.
Agentex deploys AI employees that run entirely inside your infrastructure — on your GCP, AWS, or on-premise servers. No data egress. No shared cloud. No DPDP risk. Secured by NVIDIA NemoClaw.
Cloud AI Is Not an Option for Regulated Industries in India
Regulated enterprises in India — banks, NBFCs, hospitals, insurance companies, and government bodies — operate under a framework that makes cloud-hosted AI agents legally and operationally problematic.
DPDP Act 2023:The Digital Personal Data Protection Act 2023 establishes obligations for data fiduciaries processing personal data. The penalty framework (up to ₹250 crore for significant data fiduciaries) makes “figure it out later” an existential risk. AI agents that process customer data on external cloud infrastructure require careful legal structuring — and most cloud AI platforms are not designed with Indian data residency requirements in mind.
RBI IT Security Guidelines: Reserve Bank of India guidelines on IT security and risk management require banks and NBFCs to maintain control over systems that access customer data. Cloud-hosted AI platforms processing banking data on shared infrastructure raise material compliance questions.
IRDA and NMC Guidelines: Insurance and healthcare companies face similar requirements under IRDAI IT guidelines and health data governance frameworks. Patient data, policyholder data, and financial records all have residency and access control requirements.
For enterprises in these sectors, on-premise AI deployment is not a preference. It is the only architecture that clears the compliance bar without requiring months of legal review.
NemoClaw: The Security Layer That Makes Enterprise AI Trustworthy
Deploying AI agents on your own servers solves the data residency problem. NemoClaw solves the governance problem: ensuring the agent only accesses what it should, and producing a full audit trail of everything it does.
File Access Policy
Specifies exactly which directories and files the AI agent can read or write. The agent cannot access data outside its defined policy — at the architecture level, not just application controls.
Network Egress Policy
Specifies which external destinations the AI agent can reach. An agent handling HR queries cannot call external APIs unless the policy explicitly permits it.
Inference Governance
Specifies which AI models the agent can use for inference. Prevents model substitution and ensures only approved inference endpoints are used.
Full Audit Logging
Every agent action is logged in structured format in your Supabase instance: what was received, what was done, what was accessed, and whether the interaction was escalated.
NemoClaw policy files are human-readable text documents — your DPO can review them, your CISO can version-control them, and your audit team can inspect them. They are explicit, documented constraints. Not black-box vendor controls.
Role-Defined AI Employees, Running in Your Environment
IT Support AI Employee
Handles L1/L2 ticket triage, password resets, software access, and standard resolution paths. Escalates security incidents and complex cases. Integrates with Jira, ServiceNow, or Freshservice.
Finance Ops AI Employee
Processes invoices, chases payment approvals, handles vendor queries, reconciles discrepancies. Payment authorisation is always a human decision — never autonomous.
Compliance Ops AI Employee
Monitors compliance workflows, chases outstanding filings and documentation, compiles regulatory reporting data. Designed for RBI, SEBI, IRDAI, and NMC regulatory calendars.
HR Onboarding AI Employee
Coordinates onboarding across IT, HR, finance, and the hiring manager. Sends document requests, chases outstanding items, ensures day-one readiness on WhatsApp or Telegram.
From Discovery to Live Deployment in 2 Weeks
Week 1 — Discovery and Architecture
- ›Structured workflow audit with your ops or IT team
- ›Role definition files written (SOUL.md, AGENTS.md, TOOLS.md)
- ›NemoClaw policy files drafted for security and compliance review
- ›Integration map — every system the agent needs, access level required
- ›Compliance positioning document prepared for your DPO and CISO
Week 2 — Deployment and Go-Live
- ›OpenClaw installed on your server (GCP asia-south1, AWS Mumbai, or on-prem)
- ›NemoClaw OpenShell configured and policy files deployed
- ›Enterprise integrations connected and tested
- ›Shadow mode deployment — all outputs reviewed by human before go-live
- ›Acceptance testing and full handover with documentation
Frequently asked questions
Can you deploy on our own on-premise servers (not cloud)?
Yes. Agentex supports full on-premise deployment on Linux servers. Where inference under your data policies requires it, we deploy with local inference using NVIDIA Nemotron open-source models — inference runs on your hardware, zero external API calls.
Does the NemoClaw configuration need to be approved by our security team?
Yes, and we build that approval process into the Sprint. NemoClaw policy files are produced in Week 1 and reviewed by your CISO and DPO before Week 2 deployment begins. Nothing goes to production without your security team's sign-off.
How does DPDP 2023 affect our AI deployment decision?
DPDP 2023 requires data fiduciaries to implement appropriate security safeguards for personal data. On-premise deployment with NemoClaw policy governance gives you documented access controls, data processing within your own infrastructure, full audit trail, and defined human escalation boundaries — designed to clear the compliance bar from day one.
What happens to the deployment if we end our Agentex retainer?
You own everything: the OpenClaw installation, NemoClaw configuration, role definition files, integration code, and documentation. The AI employee continues running on your server. Agentex provides 30-day post-Sprint support regardless of retainer status.
Can we audit every action the AI employee takes?
Yes. Every agent action is logged in structured format in your Supabase instance: query received, action taken, systems accessed, data read or written, escalation decision, and timestamps. Logs are accessible to your security and compliance teams at any time.
Ready to Deploy AI Employees That Never Leave Your Infrastructure?
Book a 45-minute AI Workforce Audit. We'll map your highest-value on-premise deployment opportunity, review your compliance requirements, and give you a Sprint scope proposal within 48 hours.