Secure Enterprise AI

ADX AI and Automation: Private Document Search, Workflow Automation & Agent Security Rules

Deploy private AI assistants that search internal company knowledge without leaking IP to public LLMs, backed by strict approval boundaries and audit logging.

Target Audience

Professional services firms, compliance teams, customer support centers, and technical operators seeking to automate repetitive tasks safely.

Engagement Timeline

[PLACEHOLDER: AI Automation Engagement Timeline - e.g. 3 to 5 weeks]

Starting Engagement Fee

[PLACEHOLDER: AI & Automation Starting Price NGN - e.g. ₦850,000]

Explore AI Automation Architecture Take Free Readiness Check

The Operational Challenge

The Problem We Solve

Employees are increasingly feeding sensitive company policies, client files, and confidential code into public AI tools without oversight, creating significant intellectual property leakage risks. Meanwhile, poorly governed autonomous agents can execute unauthorized actions, corrupt database records, or fail to log decisions. Organizations need productivity automation with strict boundaries: private knowledge retrieval, human approval gates, and tamper-evident audit trails.

Deliverables Matrix

What We Deliver

Private Retrieval-Augmented Generation (RAG) assistant indexing internal policy PDFs, manuals, and records with zero public model training.

AI agent access boundary definition: strict whitelisting of which internal systems and databases the agent can query.

Human-in-the-loop approval workflows for high-consequence actions (e.g., refunds, database mutations, external emails).

Comprehensive audit logging: full timestamped records of every user query, agent tool call, and generated response.

Prompt injection defense: defensive system instructions and input sanitizers mitigating OWASP LLM Top 10 vulnerabilities.

Model Context Protocol (MCP) tool integration: connecting private models securely to existing internal REST APIs.

Engagement Lifecycle

How an Engagement Works

01

Use-Case & Data Boundary Scope

We identify repetitive workflows, inventory internal reference documents, and define strict data boundaries.

02

Pipeline Engineering & Guardrails

We build vector embeddings, configure private retrieval, connect authorized APIs, and implement human approval gates.

03

Security Review & Staff Onboarding

We test prompt-injection resilience, verify audit logging pipelines, and train team members on safe daily operation.

Clear Boundaries

What Is NOT Included

We believe credible security partners set unambiguous boundaries upfront so there are zero surprises.

Training foundational large language models from scratch (we implement private retrieval and orchestration).
Unrestricted autonomous write access to production financial ledgers without human authorization gates.
Third-party LLM API consumption token costs (billed directly by model providers).

Ready to Secure Your Organization with ADX AI and Automation?

Schedule a focused 20-minute review with an ADX systems architect to discuss your current environment, timeline, and next steps.

Explore AI Automation Architecture Chat on WhatsApp