SYSTEMS THAT
DO THE WORK —
SHIPPED IN WEEKS

Shared backend foundation

Set up the audit-first backbone every agent runs on top of, so each block could ship independently without reinventing auth, storage, or the data layer.

Block A — Agro-Vision Expert (v1)

Field consultants photograph the affected crop in-field. Claude (multimodal, via Vertex AI) returns a diagnosis and ranked SKU recommendations from the live 20,000-product catalogue.

Block B — Smart Operator & Sales

The diagnosis converts into a draft quotation written directly into Salesforce, layering alternatives, cross-sell and substitution rules — pending consultant sign-off before it reaches the grower.

Block D — Vendor Analytics

Aggregates anonymised diagnostic and transaction data into vendor-facing dashboards with regional and product breakdowns. Read-only, row-level secured, fully auditable.

• ~20% new code — shares the same event log as Expert and Operator
• Row-level security on every analytics query
• Regional + product breakdowns on the deterministic SQL layer
• Closes the loop: field diagnostics → sales → vendor intelligence

Shared backbone for five companies

The shared backbone everything else runs on. One secure login, one database, one audit trail. Staff from any of the five companies log in and see only what they're authorised to see — their companies, their borrowers, their data. Every action is logged.

Five AI capabilities, one audit trail

Each AI reads from the same borrower database and writes back into the same audit trail. No data silos, no copy-paste between systems.

1. 01

   AI Credit Analyst

   One click generates a full case summary for any borrower — their loan history, repayment behaviour, risk signals, and overdue status across all five companies, distilled into a readable narrative. Replaces the 20-minute manual file review.

2. 02

   Agentic AI Assistant

   Staff ask plain-language questions about a borrower or portfolio and get answers drawn from live data. Not a chatbot — an analyst that queries the real database.

3. 03

   AI Email Processing

   Incoming enquiries and leads arrive by email, are automatically parsed by AI into structured records — name, loan amount, purpose, contact details — and routed into a review queue.

4. 04

   AI Document Processing

   Borrower attachments, contracts, and case documents are processed and linked to the correct borrower profile, making them searchable and available inside the 360-degree borrower view.

5. 05

   AI Prompt Management

   Operations staff can edit the AI's instructions — what to emphasise, how to format summaries, which risk signals to flag — directly from an admin panel, without touching code.