Deployment scenarios

What changes, concretely.

Transformation patterns by sector: the starting position we encounter, the operating structure after deployment, and what gets rebuilt to reach it. Illustrative scenarios, built on real enterprise problems — not quantified client results.

How to read these cases

Patterns, not quantified promises

Hunter BI is a young firm: the only credential we can claim remains our membership of the OpenAI and Anthropic partner networks. The cases that follow therefore claim no quantified client results. They honestly describe what a deployment changes in the way you operate — manual work that becomes assisted and sourced, evidence reconstructed after the fact that becomes captured continuously. The 'before' is the state we most often encounter; the 'after' is the structure our method installs.

The ledger

Before. After. What was rebuilt.

Banking

The credit review that keeps its evidence

A commercial bank loses time — and sometimes files — on credit review. The pattern we install runs long-context extraction across the entire file, tests every position against written policy, and keeps the reasoning as evidence the risk committee can re-read.

Before

File assembly: Manual
Analysis consistency: Depends on the analyst
Audit trail: Reconstructed after the fact

After

File assembly: Assisted, sourced
Analysis consistency: Aligned with written policy
Audit trail: Captured continuously

Discuss this scenario

Insurance

Claims triaged before they are opened

Claims arrive structured and prioritised before the handler opens them, with missing documents flagged on receipt. Nothing commits the insurer without a human sign-off, recorded against a named person.

Before

Claim triage: By hand
Missing documents: Detected late
Decision traceability: Scattered

After

Claim triage: Pre-sorted, prioritised
Missing documents: Flagged on receipt
Decision traceability: Logged, named

Discuss this scenario

Industry & logistics

A document flow read before arrival

Delivery notes and customs paperwork are read before the truck reaches the gate, matched against the order, and any discrepancy is raised while it can still be fixed. Planners see the next day's load before they staff the shift.

Before

Documents at intake: Read at the desk
Anomalies: Found on site
Planning: On a frozen spreadsheet

After

Documents at intake: Read before arrival
Anomalies: Flagged upstream
Planning: Updated continuously

Discuss this scenario

Illustrative scenarios. The “before” and “after” columns describe a change in operating structure, not quantified client results. The only credential the firm can claim: membership of the OpenAI and Anthropic partner networks.

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