Policy Automation
Transform rule-based decisions into scalable AI agents that reduce costs, enforce compliance, and accelerate approvals.
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Transform rule-based decisions into scalable AI agents that reduce costs, enforce compliance, and accelerate approvals.
Last updated
Was this helpful?
GLIK’s Policy Automation capabilities allow enterprises to codify decision logic from existing documents — such as expense policies, procurement rules, and compliance guidelines — into autonomous agents. These agents apply policy in real time, handle exceptions via LLM fallback, and escalate when ambiguity arises.
Fetches an expense policy from an external enterprise system
Uses fallback logic for default policies if retrieval fails
Applies the policy to uploaded receipts (PDFs/images)
Returns real-time responses to users with high reliability and low latency
By transforming policies into workflows, organizations reduce decision latency, enforce rules consistently, and save on labor costs — all while maintaining a transparent, traceable audit trail.
Finance: Expense reports, reimbursement approvals, budget threshold checks
Procurement: Purchase requests, vendor validation, cost limit enforcement
HR & Operations: Travel approvals, policy acknowledgment workflows
Compliance: Sanction list checks, policy enforcement logs, exception routing
GLIK agents can:
Extract structured data from PDFs or images (OCR-ready)
Compare extracted values against a memory-stored or uploaded policy book
Make decisions using threshold rules (e.g. "under $100", "vendor not blacklisted")
Escalate to a human or LLM reasoning block when unclear
Log the entire decision path for audit or QA review
Area
Before GLIK
After GLIK Agent Automation
Expense Review Time
3–5 minutes per report
<30 seconds per report
Manual Reviewer Cost
$25–$60/hr (Finance/HR)
Near-zero per case
Error Rate
Inconsistent (policy drift)
Consistent rule enforcement
Escalation Handling
Unstructured emails
Logged, traceable routing
Audit Readiness
Manual export, inconsistent
Auto-generated logs per case
A mid-size organization processing around 3,000 expense reports per month can save up to $8,000–$9,000 monthly by automating first-pass reviews using an AI agent app trained on the company's own expense policy.
These savings are driven by a 70% reduction in manual review effort, faster turnaround, and the elimination of up to 95% of preventable policy violations — especially those related to missing documentation, amount thresholds, or disallowed expense types (e.g., alcohol).
By codifying policies into reusable agent workflows, organizations unlock scalable enforcement while significantly reducing operational costs.
Manual Processing Costs: According to the Global Business Travel Association (GBTA), the average cost to process a single expense report manually is $58, and correcting errors adds another $52 per report. ()
Error Rates: Approximately 19% of expense reports contain errors, leading to significant additional costs and time spent on corrections. ()
Time Savings: Companies have reported 58% reductions in hours spent on expense management by implementing AI-powered automation. ()
Return on Investment (ROI): Businesses processing 500 expense reports monthly have saved over 100 hours of labor, translating to thousands in cost savings. ()
💸 Cost Savings
Reduce time and labor required for manual policy review, especially in finance, HR, and compliance workflows.
🔍 Policy Enforcement
Eliminate human error by ensuring all rules are enforced uniformly across teams and departments.
⚖️ Compliance Readiness
Maintain auditability with traceable agent actions, memory snapshots, and escalation logs.
🚀 Scalable Decisions
Handle high volumes of decisions (e.g. invoices, approvals) without increasing headcount.
🧠 Explainability
Agents explain why decisions were made — citing policy clauses and thresholds with human-like summaries.
