Anansi Watch, AI Procurement Integrity
Anansi Watch is a Kwish-owned product, not client work: an AI procurement integrity platform that ingests public procurement data, flags anomalies, and publishes accountability reporting.
Client
Kwish-built product
Role
Kwish-owned product: data, models, product and operations
Duration
In operation, continuously shipped
Thesis
Framework
Sector
Product
Outcomes
What changed.
Owned
Built, operated and funded by Kwish
Reviewed
Every published finding passes human review
Public
Accountability reporting open to journalists and citizens
Context
The setting
Public procurement data across the region is technically published but practically unreadable. Anansi Watch turns it into a monitored signal so journalists, oversight bodies and citizens can see patterns rather than PDFs.
Challenge
What we had to solve
- Procurement data published in inconsistent, unstructured formats
- Anomalies only visible across time and entity, not in single records
- Findings must be defensible before publication
- Public interface has to be readable by non-specialists
Approach
How we delivered.
Data ingestion
Normalised procurement notices and awards from disparate public sources.
Anomaly detection
Statistical and model-based flags across supplier, value and timing patterns.
Review before publish
Human review gate on every flagged finding before it is surfaced publicly.
Public reporting
Readable accountability reporting for journalists and oversight bodies.
Highlights
What was shipped
- Normalised procurement dataset across public sources
- Anomaly detection across supplier, value and timing
- Human review gate before public publication
- Accountability reporting built for non-specialists
Stack
Technology
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