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Financial Services · high-intent workflow

KYC and AML workflow automation for fintech that carries the work forward.

KYC and AML operations need durable case context, evidence collection, configured screening actions and visible human decisions—not an opaque model that declares a customer safe.

See this workflow in action

Buyer search language

“KYC AML automation fintech”

That phrase gets the buyer to the page. The real evaluation is whether the system can handle the request, rules, systems, communications and exceptions behind it.

Product truth: Claire's multi-step workflow primitives are built. The exact customer workflow and external system actions require configuration and, where needed, validated integration work.
How people actually ask

The request arrives in operational language.

People do not speak in software categories. They describe what happened, what is blocked and what they need next.

applicant
“Why is this applicant still pending after document review?”
onboarding specialist
“The entity matched a sanctions name, but the identifiers conflict.”
compliance analyst
“We need beneficial-owner information before review can continue.”
relationship manager
“The screening provider timed out—do not mark the check complete.”
Request to outcome

One conversation. A governed multi-step workflow.

Claire maintains the context as the request moves through collection, rules, systems, communication, waits and human decisions.

Identify customer, entity and product context

Resolve the person, account, asset or job using the identifiers this operation trusts; preserve ambiguity for review instead of choosing a convenient record.

Claire
Collect required KYC and ownership fields

Ask only for the facts this workflow needs, keep the requester’s language in context and mark required information that is still missing.

Claire
Request configured documents and evidence

Use configured state, rules and permissions to choose the next action; route uncertainty instead of silently guessing.

Claire
Run permitted screening or verification actions

Use configured state, rules and permissions to choose the next action; route uncertainty instead of silently guessing.

Claire
Record matches, missing data and provider failures

Resolve the person, account, asset or job using the identifiers this operation trusts; preserve ambiguity for review instead of choosing a convenient record.

System
Route risk and regulatory decisions to qualified staff

Pass the collected facts, attempted actions and reason for escalation to the accountable person; keep ownership visible until acknowledged.

Claire
Resume permitted setup after the human outcome

Preserve state across the wait, watch for the expected response or event and follow the documented timeout path when it never arrives.

Human
Preserve an auditable case status and next step

Perform only the authorized system action, capture whether it succeeded and avoid confirming completion until the system of record accepts it.

Claire
People stay accountable

Different roles care about different failure modes.

Applicant

Needs fewer dropped requests and clearer ownership without losing control of policy exceptions.

Onboarding specialist

Needs complete, structured context so the work does not begin with another round of phone tag.

Compliance analyst

Needs accurate status and an honest next step, not a confident promise the operation cannot keep.

Relationship manager

Needs automation to handle routine coordination and surface the moments that require judgment.

Why orchestration matters

Answering is an event. Resolution is a chain of work.

Basic answering productClaire workflow
Takes a message or produces a transcriptCollects the fields required for this specific operational request.
Books against a generic calendarApplies permitted availability, routing, urgency and approval rules.
Ends when the call endsCan send follow-up, wait, resume, route exceptions and record the outcome.
Transfers without contextHands a person the request, collected facts, attempted actions and reason for escalation.
Control and failure cases

Automation must preserve uncertainty.

Test incomplete identity data, duplicate customers, conflicting beneficial-owner information, a screening match, a provider timeout, a rejected system write, a request for a regulated decision and a review queue that misses its SLA.

The identity does not match

Collect another permitted identifier or route the discrepancy. Do not select the most convenient customer record.

A verification provider fails

Keep the check incomplete, preserve the failure and avoid telling the applicant that verification succeeded.

The case needs judgment

Route risk, policy, eligibility, suspicion and regulatory decisions to qualified personnel with the evidence and workflow state intact.

The human review is delayed

Use explicit ownership, acknowledgement, SLA timing and escalation rather than leaving the applicant in an unexplained pending state.

Systems and implementation

Connect only what the workflow needs.

A deployment may work around customer records, identity-verification services, document channels, case queues and core onboarding systems. Claire does not claim those connections exist merely because the vendors are common in financial services.

Implementation sequence

  1. Map the current workflow and language.
  2. Define required fields, rules and human owners.
  3. Validate API access and permitted actions.
  4. Build normal, failure and exception paths.
  5. Test with representative scenarios.
  6. Launch with runtime and quality review.
Buyer questions

What teams need answered before a pilot.

Is this just an answering service?

No. Answering is only the trigger. The configured workflow can collect structured information, retrieve permitted context, branch on rules, call APIs, send messages, wait for events and hand exceptions to a person.

Can Claire automate every decision?

No. The operation defines where Claire acts and where a person approves, decides or takes over. Consequential, ambiguous and policy-sensitive decisions should remain visibly owned.

Does this mean every system is already integrated?

No. customer records, identity-verification services, document channels, case queues and core onboarding systems describe the systems the workflow may need. A named system requires API-access and implementation validation; no native integration is implied.

How would implementation begin?

Start with one bounded workflow, its real inputs, rules, systems, failure paths and human owner. Test normal cases and exceptions before expanding scope.

Show us where this workflow breaks today.

Bring the calls, messages, rules, systems, handoffs and exceptions. We will map what Claire can configure and what requires integration.

Show us the workflow