Agent Commerce
AI Agents That Work For You — 24/7
Deploy autonomous AI agents that handle compliance monitoring, quality inspection, and workflow automation. They work around the clock, never get tired, and free your team to focus on strategic work.
WHAT IS AGENT COMMERCE
Autonomous Software Workers for Your Business
Agent Commerce is the future of business operations. Instead of hiring more people to handle repetitive, rule-based tasks, you deploy AI agents — autonomous software workers that execute complex business processes without constant human oversight.
Unlike traditional automation (which breaks when inputs change), agents understand context, handle exceptions, and make intelligent decisions. They work 24/7, never get tired, don't make careless errors, and continuously improve as they learn from data. Your team focuses on strategy, creativity, and high-value work — while agents handle the operational grind.
OUR AGENTS
Three Agent Types for Every Business Function
Choose the agent that solves your biggest operational bottleneck.
Process Compliance Agent
Automated compliance monitoring and documentation
Continuously monitors your business processes, automatically generates compliance documentation, and maintains full traceability across all activities.
Key Features
- Real-time process monitoring and deviation detection
- Auto-generated compliance reports and audit trails
- Integration with existing process management tools
- Traceability matrix maintenance and updates
Common Use Cases
- ISO compliance documentation
- Regulatory audit preparation
- Process adherence tracking
- Change request documentation
Quality Inspection Agent
Autonomous quality checks and defect detection
Performs automated quality inspections across documents, data, and processes. Identifies defects, inconsistencies, and quality issues before they escalate.
Key Features
- Automated document and code review
- Defect pattern recognition and alerts
- Quality metrics tracking and reporting
- Continuous monitoring with anomaly detection
Common Use Cases
- Document quality verification
- Data consistency checks
- Process output validation
- Requirements completeness reviews
Workflow Automation Agent
Multi-step business processes run autonomously
Handles complex, multi-step business workflows from end to end. Routes tasks, makes decisions based on predefined rules, and escalates exceptions when needed.
Key Features
- End-to-end workflow orchestration
- Intelligent task routing and prioritization
- Decision-making based on business rules
- Exception handling and escalation
Common Use Cases
- Purchase request approvals
- Document review workflows
- Onboarding process automation
- Change management workflows
OUR METHODOLOGY
How We Deploy Agents: The M.A.P.S. Approach
MEASURE
Map current processes, quantify manual effort, establish baseline costs
1-2 weeks
ANALYZE
Identify agent candidates, prioritize by ROI, build business case
1-2 weeks
PROTOTYPE
Build POC with real data, validate assumptions, measure performance
2-4 weeks
SCALE
Production deployment, monitoring, optimization, team training
4-8 weeks
Total: 8-12 weeks from assessment to production deployment.
Investment & ROI
Agent Development
One-time cost per agent. Includes requirements, development, testing, and deployment.
Ongoing Costs
Hosting, monitoring, maintenance, and continuous improvement.
Typical ROI: Most clients see 40-60% cost reduction in automated processes. Payback period: 6-12 months.
Who This Is For
FAQ
Common Questions About AI Agents
How are AI agents different from traditional automation?
Traditional automation follows rigid if-then rules. AI agents can understand context, learn from patterns, and make intelligent decisions. They handle exceptions, adapt to variations, and improve over time — all while working autonomously 24/7.
How long does it take to deploy an AI agent?
Using our M.A.P.S. methodology: 1-2 weeks for assessment and analysis, 2-4 weeks for prototype development and testing, then 4-8 weeks for production rollout and team training. Total: 8-12 weeks from start to full deployment.
What systems do the agents integrate with?
Our agents integrate with common enterprise systems: Jira, Confluence, SharePoint, SAP, Salesforce, Microsoft 365, and more. We also build custom integrations for proprietary systems using APIs, webhooks, or RPA connectors.
How much does an AI agent cost?
Agent development cost depends on complexity and scope. This includes requirements analysis, development, testing, and deployment. Most clients see ROI within 6-12 months.
Can agents work with our existing processes?
Yes. We start by mapping your current processes, identifying automation opportunities, and building agents that fit your workflows. Agents adapt to your processes — you don't have to change everything to accommodate them.
What happens if an agent makes a mistake?
Agents include built-in safeguards: confidence thresholds, human-in-the-loop checkpoints for critical decisions, audit logging for all actions, and rollback capabilities. We also implement gradual rollout strategies to catch issues early.
Ready to Deploy Your First AI Agent?
Book a free 20-minute assessment. We'll identify your best automation candidate and outline a deployment roadmap.
Book Free Assessment