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FIELD EXAMPLES

What depth looks like, industry by industry.

Every example follows the same arc: how the work runs today, where it breaks, what we build, and what changes. The decision always stays with your people — we take the robot work, not the role.

RETAIL BANKING

The whole client, before the decision.

01 CURRENT SETUP

The loan officer pulls the applicant from four systems — core banking, the bureau, documents, the CRM — and reconciles it by hand before they can begin to assess.

02 THE PROBLEM

Twenty minutes of assembly per application, an inconsistent risk view, and a flat “declined” when someone doesn’t fit the product they applied for — with no next step offered.

03 LAYER VI

One client view, assembled the moment the application opens: accounts, history, affordability, risk flags, and the products they do qualify for — every figure traceable to its source.

04 THE OUTCOME

The officer spends the time on judgment, not collation. Decisions are consistent and auditable, and “no” becomes “here’s what fits” — a rejection turns into the right offer.

INSURANCE

Context the moment a claim lands.

01 CURRENT SETUP

An adjuster opens a new claim and starts hunting — policy terms, prior claims, photos, repair estimates — each one in a different place.

02 THE PROBLEM

Simple claims sit in the same queue as complex ones. Cycle times stretch, customers chase, and fraud signals get missed in the rush.

03 LAYER VI

The claim arrives pre-assembled with policy, history and evidence in context, a drafted assessment, and a flag on anything unusual.

04 THE OUTCOME

Routine claims clear in minutes; the hard and suspicious ones get an adjuster’s full attention. Faster settlement, fewer leaks — the human still signs.

CUSTOMER SERVICE

The person handles the person.

01 CURRENT SETUP

An agent toggles between a knowledge base, the CRM, billing and order systems while the customer waits on hold.

02 THE PROBLEM

Long handle times, scripted answers, and new hires who take months to get fluent across a dozen tools.

03 LAYER VI

The customer’s full history and a recommended next action land on one screen; the system handles the lookups, the typing and the wrap-up.

04 THE OUTCOME

Shorter calls, fewer transfers, and agents who sound like experts on day one — because the robot work is gone, not the person.

HEALTHCARE

Less paperwork, more patient.

01 CURRENT SETUP

Clinical staff assemble prior-authorization requests by re-keying history, codes and notes into payer portals.

02 THE PROBLEM

Hours of administrative work a day, delayed care, and burnout from staff doing data entry instead of medicine.

03 LAYER VI

The request is drafted from the record with the right codes and supporting evidence attached, ready for a clinician to review.

04 THE OUTCOME

Authorizations go out in minutes with fewer denials, and clinicians get time back for patients. The decision stays clinical.

SUPPLY CHAIN

One picture of demand and supply.

01 CURRENT SETUP

Planners stitch forecasts, inventory and supplier data from spreadsheets exported nightly out of a dozen systems.

02 THE PROBLEM

Decisions run on yesterday’s numbers. Stockouts and overstock both happen, and no one can explain why after the fact.

03 LAYER VI

A live view of demand, stock and supplier risk, with the system proposing the reorder and surfacing the trade-offs.

04 THE OUTCOME

Planners decide on current data with a clear rationale; the reconciliation runs itself. Less working capital tied up, fewer surprises.

Your turn. What's the work your people shouldn't be doing?

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