Exposure
Sensitive IP leaves the bank
Uploading 50-page credit agreements or customer records into cloud prompts means confidential bank IP is constantly streaming over external networks.
Product Briefing · Banking · September 2026
Ground Truth and Institutional Memory for Banking Teams.
From Munashe Chitima, Founder. 75% less bank IP exposed. 99.99% multi-modal extraction. Built entirely inside your bank's perimeter.
01 · The Real Bottleneck
A language model knows nothing about your bank until someone hands it the file. Half of every workday is lost hunting across SharePoint, nested network directories, and archived email threads just to find the document they need.
Exposure
Uploading 50-page credit agreements or customer records into cloud prompts means confidential bank IP is constantly streaming over external networks.
Guesswork
Fed unverified walls of text, language models drop decimal points, misread balance sheets, and generate citations that no auditor can replay.
Privacy
You cannot solve this with a single monolithic index. Marketing cannot see credit risk; credit analysts cannot access HR. Each team requires its own contained perimeter.
FindandSeek replaces that manual scramble. A sovereign, local memory layer deployed 100% inside your perimeter. Each team gets a private, contained know-it-all that answers with exact mathematical receipts.
02 · Extraction Precision
Generic OCR breaks because financial and organizational records are visual, structured, and multi-modal. You define the exact schema you need; we return ground truth anchored to exact source bytes.
Visual & Layout
Scanned PDFs, phone photos of crumpled payslips, multi-column tables, institutional stamps, and signatures understood natively.
Complex Data
Nested Excel spreadsheets, interest rate schedules, and regulatory rulebooks extracted deterministically.
Rich Media
Town hall video recordings, executive audio archives, and call centre logs indexed down to the exact millisecond.
Byte-level lineage: Every extracted fact links directly to its source: file SHA-256 hash, page number, visual coordinates, table cell, or audio millisecond. Zero ambiguity.
03 · Security & Data Protection
In benchmark testing across 2,500 enterprise records, prompt token consumption dropped by 75%. That is not an API cost saving: it means 75% less bank IP ever leaves your firewall.
75%
Less bank IP exposed. Compact 200–300 token fact cards instead of raw document dumps.
27%
Faster response times by eliminating prompt processing latency.
Zero
Hallucinated sources. 100% clause-level, tamper-evident citations.
Pre-computed fact cards: Instead of uploading an entire 100-page credit policy into a cloud model, FindandSeek distils records locally. Only the bounded, relevant facts needed to answer the question are ever exposed.
04 · Across the Organisation
Practical workflows across lending desks, customer care, internal communications, and marketing.
Lending Operations
Processes 15 unstandardised attachments in-place, normalises disparate formats, extracts base income versus allowances with 99.99% accuracy, and feeds origination engines in seconds. Replaces 30 to 45 minutes of manual transcribing per application.
Verification
Cross-references multiple submitted files simultaneously, matching stated income against bank deposits and catching conflicting employer details or altered figures before downstream processing. Catches discrepancies and document tampering before funds are disbursed.
Frontline
Customer-facing bots query pre-computed, verified structured facts in a fraction of a second, answering complex document or facility questions instantly with verified source backing. Eliminates deflection to human operators; sub-second verified responses.
Internal Comms
Ask naturally: “Find where the CEO spoke about customer trust in last week's town hall.” Pinpoints the exact timestamp, allowing creative agents to extract a 60-second clip immediately. Instant rich-media search across town halls and executive broadcasts.
Marketing
Ask: “Find the photo of branch staff gathered around a computer from the 2024 regional campaign.” Locates the exact photo instantly and formats approved disclosures directly. Surfaces buried visual assets instantly without manual drive searching.
Continuity
When staff take four weeks of leave, incoming cover staff simply ask the team archive for agreed terms, status updates, and drafts. Work keeps moving instead of stalling for weeks.
05 · Governance & Custom AI
Built-in governance for regulatory defence today, and a structured, deduplicated training dataset for your own private AI models tomorrow.
Isolation
Marketing records stay in Marketing. Credit Risk stays in Credit Risk. Ethical walls are enforced mathematically at the index layer, not through soft prompt instructions.
Future Value
80% of machine learning cost is data cleaning. By structuring bank files today, you get a clean, labelled training dataset ready for when you train internal models.
2026-09-28T09:14:02Z actor=agent:lending-copilot campus=commercial-credit action=query_typed_facts filter=“debt_service_ratio < 1.2” cards_exposed=[fin-1092, cov-4412] lines_exposed=3 citations=[FY25_Audited_Accounts.xlsx#Sheet1!D14, Facility_Agreement.pdf#p42§9.1] prev_hash=8a2f…41c0 entry_hash=e91d…55b2 tamper-evident, replayable
06 · See It in Action
Victorian parliamentary records. If you would like to see how we take the most boring, messy documents and extract the actual useful facts out of them with zero hallucination, here it is:
Any AI agent can now jump in and use this. Example ask once connected: “Which politician has the most land holdings?”