Introducing Deeplinq for AML

Solutions / Banking

Make banking AI useful at the point of service.

Bring customer context, current policy, and approved actions into one governed workflow without giving the model open authority over bank systems.

Request a demo

Reference application / Banking service

Resolve a request with the customer, policy, and authority in view.

A focused banking assistant can assemble customer context, retrieve the current fee policy, and prepare a resolution. The bank’s core system remains authoritative, and value-changing actions still cross a human approval threshold.

Illustrative workflow. Deeplinq supplies the governed engine. Your systems and authorized people remain authoritative.

Reference workspaceBK-SVC-1842
Approval required

Service request

Scope locked

  • Customer

    Amina R.

    Identity verified in the bank channel

  • Product

    Current account

    Servicing scope only

  • Request

    Review overdraft fee

    CHF 35 posted on 28 July

  • History

    One prior adjustment

    Read from the customer record

Context

6

authorized records

Policy

v4.2

effective 01 July

Proposed

CHF 35

full adjustment

Authority

Human

approval before posting

Authority boundary

The assistant can explain and prepare. It cannot post a financial adjustment or change the customer record without the bank’s approved action path.

Service resolution

Move from fragmented context to a controlled next action.

The workflow joins the service history, product terms, and current policy under the employee’s live permissions. It then proposes a bounded action and pauses before the core banking tool runs.

Governed workflowLive policy at every step
  1. 01

    Authenticate the channel

    Bind customer, employee, and bank tenant

  2. 02

    Assemble the context

    Retrieve only authorized account and case records

  3. 03

    Ground the policy

    Cite the effective adjustment rule

  4. 04

    Prepare the resolution

    Draft rationale and customer explanation

  5. 05

    Approve the adjustment

    A bank employee accepts or rejects the action

  6. 06

    Post and record

    Execute once, then correlate the outcome

Decision packet

  • Customer context

    Scoped to the active service case

  • Policy source

    Fee adjustments / section 3.4

  • Tool policy

    account.adjust requires approval

  • Posting state

    Not executed

Evidence → review → action

Relationship continuity

Keep the resolution useful after the conversation ends.

The employee receives a compact case history, the customer receives a reviewed explanation, and control owners receive a content-minimized record of the policy and action path.

Operating recordContent-minimized engine audit
  1. 10:04Channel

    Verified the customer and opened the request

    Session and bank tenant bound

  2. 10:04Assistant

    Retrieved the active policy and service history

    Six authorized records, one cited policy

  3. 10:05Assistant

    Prepared a full-fee adjustment

    Reason and customer response attached

  4. 10:05Employee

    Review is waiting

    Core banking action has not run

Control state

  • Customer boundary

    Live

    Only this case and customer are in scope

  • Action authority

    Bounded

    Financial changes require approval

  • Evidence

    Ready

    Identity, policy, cost, and outcome correlated

The engine underneath

A complete service workflow on a governed engine.

The reference application shows what teams can build. Deeplinq supplies the identity, knowledge, tool, model, metering, and audit controls underneath it.

  1. 01

    Unify the service context

    Bring customer history, product terms, open cases, and approved knowledge into the employee’s active request.

  2. 02

    Ground the resolution

    Retrieve the effective bank policy, cite the relevant section, and keep insufficient evidence visible.

  3. 03

    Bound every action

    Let the assistant prepare routine work, then require an authorized employee before financial or customer-record changes.

  4. 04

    Preserve the control path

    Correlate identity, context, policy, approval, tool outcome, model usage, and cost in a tamper-evident record.

Next step

Bring one banking service journey.

We will map its customer context, policy sources, employee authority, core-system actions, model choices, and evidence requirements.

Request a demo