Used Case
Corporate Finance & Planning
AI for KPI and WBS Tracking
Currently, the Corporate Finance & Planning team must repeatedly follow up with KPI owners to update performance data and WBS status on a monthly basis. This manual process leads to inconsistent updates, reporting delays, and unnecessary workload. Additionally, month-to-month progress comparisons are generated manually, consuming significant effort.
AI Solution
A KPI Tracking Agent powered by Zygy AI can automatically collect updates from owners’ KPI sheets or integrated systems, consolidating them into a unified dashboard. Coupled with WBS integration, the system can map KPI progress directly against planned deliverables. An AI “Delta Analysis” function can compare current-month performance against previous months, automatically highlighting improvements, delays, or regressions.
Eliminates repetitive manual follow-ups
Provides timely, accurate monthly performance insights.
Strengthens management reporting by linking KPIs directly with WBS outcomes.
Supply Chain Management
OCR and NLP for Legacy Contract Documents
The SCM team faces significant inefficiencies when dealing with older contracts that exist only as scanned image PDFs. Unlike newer digital contracts, these legacy documents are not machine-readable, requiring procurement staff to manually review them clause by clause. This not only increases turnaround time but also raises the risk of oversight in identifying critical terms such as liability, penalties, or compliance clauses.
AI Solution
By deploying Optical Character Recognition (OCR) integrated with Natural Language Processing (NLP), scanned contracts can be converted into structured, searchable text. AI clause extraction engines can then automatically identify key contractual elements, highlight missing or non-standard terms, and generate risk scores. A central repository will allow both legacy and new contracts to be indexed and searchable across the enterprise.
Reduces manual review effort 80%
Improves contract compliance consistency and audit readiness.
Frees staff to focus on negotiation, vendor strategy, and supplier development rather than clerical review.
Government Integrated Radio Network
Terminal Usage Analytics and Reporting
Government agencies rely on GIRN to support mission-critical communications, but reporting on terminal usage is currently inefficient. Staff export raw data to Excel and manually filter it to generate utilization reports, a process prone to errors and delays.
AI Solution
An AI Reporting Agent can automate terminal usage reporting by directly ingesting call activity, data transfer, and location logs from GIRN systems. Using rule-based categorization and anomaly detection, the system can highlight abnormal usage patterns and coverage gaps. Reports can be auto-generated in agency-specific formats, with dashboards providing near real-time visibility into terminal performance.
Eliminates manual Excel-based reporting
Provides faster, more accurate utilization reports to agencies.
Improves monitoring of coverage gaps and unusual activity.
