SAMPLE: CIC × BI Consulting Services — Credit Registry Operations board

Trend · monthly

Credit reports accessed & record rejection rate

Reports accessed (thousands)Rejection rate of submitted records (%)Rejection ceiling 3.0%

What this board answers

Three questions from Makati

Signature · regional coverage

Submitting entities across the archipelago

Breakdown · data quality

Rejection rate by submitting entity type

3.0% rejection ceilingWidth = share of records rejected on load

Service · data subjects

Dispute resolution SLA

Compliance · monthly submissions

On-time submission by entity type

Ask the data · AI layer

Natural-language question

Generated from the semantic model · cites board panels · no free-text guesses

^† Topline anchored to CIC's published 2024 Annual Report: 1,158 submitting entities in production as of December 2024 (380 cooperatives, 277 rural banks, 247 financing/lending, 50 thrift banks, 46 universal/commercial banks, 37 leasing, 35 MFIs, 86 other), 61.5 million individual data subjects, 297.8 million contracts, 253 accessing entities, 11.5 million accesses and 5,271 disputes in 2024. Every figure after that anchor — monthly growth, regional split, rejection rates, SLA — is illustrative and internally consistent for demonstration only. Entity types are grouped as Banks (universal, commercial, thrift, rural), Cooperatives, Lending & financing companies, and NBFIs (MFIs, leasing, insurance, other).

Private AI on your own server

The "ask the data" panel above is built to run on a GPU server inside your own network: an open-weight model over your own documents, with every answer citing the file it came from. No per-seat licence, works offline, and nothing leaves the building.

How it sits in your environment

One appliance-class server on your rack or in a secured closet. Your files are indexed where they already live; the model runs locally; answers come back with the source page attached.

What that means in practice

1
Your data only, on your hardwareAn open model over your own documents and exports. No third-party AI processor, no data-transfer agreement to review.
2
Every answer cites its sourceReplies point to the file and page they were drawn from, so people check the answer instead of trusting it blind.
3
No per-seat licenceThe whole team can ask questions. Cost is the server and our build, not a monthly number that grows with headcount.
4
Works offlineIf the internet connection goes down, the answers still come. Nothing depends on a vendor's uptime or pricing changes.