Autonomous AI Agents
Agentic AI for Regulated Industries
Autonomous agents that observe, reason, plan, and act on your behalf. Built with governance, audit trails, and human-in-the-loop controls from day one. Designed for industries where compliance is not optional.
Beyond Chatbots
What makes agentic AI different
Traditional AI responds to prompts. Agentic AI operates autonomously. These systems observe their environment, reason about objectives, plan multi-step strategies, and execute actions using real tools and APIs. They maintain context across complex workflows and adapt when conditions change.
Observe
Ingest data from enterprise systems, documents, APIs, and real-time feeds. Maintain situational awareness across your environment.
Reason
Analyze context against objectives, regulations, and historical patterns. Identify what matters and why.
Plan
Decompose complex goals into ordered sub-tasks. Select appropriate tools and determine the optimal execution sequence.
Act
Execute tasks through governed API calls, generate reports, trigger workflows, and escalate decisions that require human judgment.
Agent Types
Purpose-built agents for enterprise workflows
Compliance Agents
Monitor regulatory changes, test controls, and flag deviations continuously. Map findings to SOX, HIPAA, GxP, and FFIEC frameworks automatically.
Research Agents
Synthesize findings across thousands of documents, clinical trials, and regulatory filings. Produce structured summaries with full source citations.
Workflow Agents
Orchestrate multi-step business processes end to end. Handle approvals, data extraction, system updates, and exception routing without manual intervention.
Monitoring Agents
Watch for adverse events, quality deviations, financial anomalies, and security threats in real time. Escalate based on severity and context, not static rules.
Architecture
How we build governed agent systems
Every agent system follows a layered architecture: orchestration at the top, guardrails at every level, and human oversight where it matters most.
Agent Orchestration
A supervisor agent delegates tasks to specialized sub-agents based on intent, context, and priority. Each agent has a defined scope, toolset, and permission boundary.
Tool Use & Integration
Agents interact with your systems through governed API calls: ERP, LIMS, EDMS, GRC platforms, email, and databases. Every action is logged and reversible.
Guardrails & Boundaries
Hard limits on what agents can access, modify, and approve. Configurable escalation thresholds prevent autonomous actions beyond defined risk tolerances.
Human-in-the-Loop Controls
Critical decisions route to human reviewers with full context. Agents prepare recommendations; humans approve. Configurable per action type and severity.
Governance
Governance is not an add-on. It is the foundation.
In regulated industries, autonomous systems require more oversight, not less. Every agent we deploy includes these governance capabilities from the start.
Complete Audit Trails
Every agent decision, tool call, and data access logged with timestamps, reasoning chains, and user context. Exportable for regulatory review.
Explainable Reasoning
Agents produce step-by-step reasoning traces. Reviewers see exactly why an agent reached a conclusion and which sources informed it.
Role-Based Access
Agent permissions mapped to organizational roles via Azure AD or Okta. Agents inherit the access scope of the user or process that invoked them.
Compliance Checkpoints
Configurable gates where agent workflows pause for human review. Mandatory for high-risk actions like regulatory submissions or financial approvals.
Drift Detection
Continuous monitoring of agent behavior against baseline performance. Alerts when outputs deviate from expected patterns or accuracy thresholds.
Version Control
Full versioning of agent configurations, prompts, and tool definitions. Roll back to any previous state. Audit-ready change history.
Industry Applications
Agentic AI across regulated industries
Pharma & Life Sciences
Adverse event monitoringAgents scan FAERS, clinical trial data, and medical literature to detect safety signals. Structured reports generated for pharmacovigilance teams within hours, not weeks.
See industry solutionsHealthcare
Prior authorizationAgents extract clinical data from EHRs, match against payer criteria, compile supporting documentation, and submit authorization requests. Denials auto-routed for appeal.
See industry solutionsFinancial Services
SOX control testingAgents pull evidence from financial systems, test control effectiveness against assertions, and produce audit-ready workpapers. Continuous testing replaces quarterly cycles.
See industry solutionsManufacturing
Quality inspectionAgents analyze inspection data, identify deviation patterns, correlate with process parameters, and trigger CAPA workflows. Real-time quality intelligence across production lines.
See industry solutionsResults
Measurable impact from day one
Faster compliance reviews
Reduction in manual workflows
Decrease in evidence collection time
Continuous monitoring coverage
Compliance & Security
Pricing
Starting at $95,000
Scope depends on agent count, integrations, and governance requirements. Assessment fee ($9,500) credited toward implementation.
Start with an AssessmentReady to deploy AI agents that actually work?
Start with a 15-minute call. We'll assess your highest-impact use case and map a 90-day path to production agentic AI with full governance.