Specialized Digital Solutions

AI for Financial Services

Bring responsible AI into service, fraud, lending, collections, knowledge, and employee workflows with the controls regulated teams need.

Trusted AI at work

Talk to our team

Talk to our team

What we deliver

AI aligned to financial risk, regulation, and customer trust

Use-case and control design

Classify opportunities by value, model risk, customer impact, data sensitivity, explainability, and required oversight.

Intelligent operations

Improve document, case, service, compliance, and investigation workflows with bounded automation and human review.

Customer and employee assistance

Ground answers and recommendations in approved policy, product, and account context with secure access controls.

Challenge → response

Scale AI in financial services with controls attached

Scale AI in financial services with controls attached

Scale AI in financial services with controls attached

OPERATING SIGNALS

MONITORED

Specialized Digital Solutions

AI for Financial Services

AI for Financial Services

Signals that shape the solution design

Signals that shape the solution design

Scale AI in financial services with controls attached

Scale AI in financial services with controls attached

01

Risk and customer data disagree

Risk and customer data disagree

02

Models sit outside daily workflows

Models sit outside daily workflows

03

Innovation outpaces compliance

Innovation outpaces compliance

Challenge 01

Risk and customer data disagree

Risk and customer data disagree

Product, transaction, identity, servicing, and risk systems produce incomplete or conflicting decision signals.

Gatestone Digital response

Establish a governed decision-data layer

Establish a governed decision-data layer

Align definitions, lineage, quality, permissions, and live context for consistent customer and risk decisions.

Challenge 02

Models sit outside daily workflows

Models sit outside daily workflows

Employees receive scores without explanations, recommended actions, exception handling, or operational accountability.

Gatestone Digital response

Embed explainable decision support

Embed explainable decision support

Connect signals to workflow, evidence, recommended actions, approvals, and human review at the point of work.

Challenge 03

Innovation outpaces compliance

Innovation outpaces compliance

Rapid experimentation creates exposure across privacy, consumer duty, model risk, security, and third-party governance.

Gatestone Digital response

Operationalize responsible AI controls

Operationalize responsible AI controls

Build traceability, testing, monitoring, permissions, escalation, and model governance into the delivery lifecycle.

SECURITY + CONTROL

Financial-services AI with controls attached

Financial-services AI with controls attached

Financial-services AI with controls attached

Gatestone Digital brings ISO, SOC, and PCI compliance capabilities into identity, payment, collections, service, and decision-support workflows. We design for segregation of duties, auditability, model governance, exception handling, and human oversight.

Gatestone Digital brings ISO, SOC, and PCI compliance capabilities into identity, payment, collections, service, and decision-support workflows. We design for segregation of duties, auditability, model governance, exception handling, and human oversight.

Gatestone Digital brings ISO, SOC, and PCI compliance capabilities into identity, payment, collections, service, and decision-support workflows. We design for segregation of duties, auditability, model governance, exception handling, and human oversight.

Enterprise data protection

Security controls aligned to the sensitivity, purpose, and lifecycle of regulated information.

Security controls aligned to the sensitivity, purpose, and lifecycle of regulated information.

Granular permissions and audit

Role based access, clear responsibilities, logging, and evidence teams can review.

Role based access, clear responsibilities, logging, and evidence teams can review.

Deployment and operating controls

Controlled change, incident response, escalation, and accountable production ownership.

Controlled change, incident response, escalation, and accountable production ownership.

ISO-aligned information security

SOC control assurance

PCI-aware payment controls

Identity, access + audit

CONTROLLED IMPROVEMENT SYSTEM

Financial AI that learns inside governed operating limits

Financial AI that learns inside governed operating limits

Financial AI that learns inside governed operating limits

Connect approved policies, customer context, quality evidence, and conduct controls in a monitored improvement loop. Teams can refine performance without weakening permissions, explanations, or accountability.

Connect approved policies, customer context, quality evidence, and conduct controls in a monitored improvement loop. Teams can refine performance without weakening permissions, explanations, or accountability.

Connect approved policies, customer context, quality evidence, and conduct controls in a monitored improvement loop. Teams can refine performance without weakening permissions, explanations, or accountability.

Policies and playbooks, followed by design

Policies and playbooks, followed by design

Ground service, payments, disputes, fraud, and collections workflows in approved rules, evidence, and clear authority boundaries.

Ground service, payments, disputes, fraud, and collections workflows in approved rules, evidence, and clear authority boundaries.

Customer request

Identity + authority verified

Approved decision path

Risk review

Improve interactions with controlled testing

Improve interactions with controlled testing

Evaluate resolution, complaints, vulnerability signals, overrides, and outcome quality before promoting changes into production.

Evaluate resolution, complaints, vulnerability signals, overrides, and outcome quality before promoting changes into production.

Improve decision support

CONTROL REVIEW

Financial service assistant

I’ll verify identity, explain approved options, and route exceptions for review.

CONTROL IMPROVEMENT

Add the reason code and required customer disclosure.

Cancel

Approve

Controls for customer and conduct risk

Controls for customer and conduct risk

Validate identity, permissions, disclosures, payment handling, fairness, escalation, and audit behavior before every release.

Validate identity, permissions, disclosures, payment handling, fairness, escalation, and audit behavior before every release.

Financial controls

ENFORCED

Identity + access

Verified

Decision evidence

Attached

Conduct risk

Monitored

Audit trail

Logged

Enterprise perspective

Scale financial-services AI inside the existing control environment

01

Classify the use case before the model

Separate assistive, analytical, customer, and decision making uses; then assign accountable owners, risk tier, validation depth, data requirements, approval, and human review. The same model can create very different risk depending on the workflow and action.

01

Classify the use case before the model

Separate assistive, analytical, customer, and decision making uses; then assign accountable owners, risk tier, validation depth, data requirements, approval, and human review. The same model can create very different risk depending on the workflow and action.

02

Make lineage and third parties visible

Trace training and retrieval data, prompts, models, tools, vendors, decisions, and downstream actions. Financial institutions need an inventory that supports privacy, bias, cybersecurity, model risk, operational resilience, change control, and exit planning.

02

Make lineage and third parties visible

Trace training and retrieval data, prompts, models, tools, vendors, decisions, and downstream actions. Financial institutions need an inventory that supports privacy, bias, cybersecurity, model risk, operational resilience, change control, and exit planning.

03

Validate the system in production terms

Accuracy alone is insufficient. Evaluate stability, explainability, security, customer impact, subgroup outcomes, action correctness, latency, fallback, and performance under changing conditions; monitor thresholds after deployment.

03

Validate the system in production terms

Accuracy alone is insufficient. Evaluate stability, explainability, security, customer impact, subgroup outcomes, action correctness, latency, fallback, and performance under changing conditions; monitor thresholds after deployment.

Financial-services AI delivery system

A control-led path from opportunity to durable production value

Financial-services AI delivery system

Financial-services AI delivery system

Automation that reinforces governance

Automation that reinforces governance

Automation that reinforces governance

01

Inventory and tier

Inventory and tier

02

Design controls

Design controls

03

Prepare governed data

Prepare governed data

04

Validate end to end

Validate end to end

01

Inventory and tier

Record purpose, users, decisions, data, models, vendors, actions, customer impact, criticality, and accountable ownership.

02

Design controls

Map legal, compliance, privacy, cybersecurity, model-risk, records, consumer-protection, and operational-resilience requirements.

03

Prepare governed data

Establish provenance, quality, permissions, retention, representativeness, feature logic, and secure retrieval boundaries.

04

Validate end to end

Test the model, prompts, tools, workflow, human review, integrations, controls, failure modes, and recovery procedures.

05

Deploy progressively

Use bounded permissions, approvals, confidence thresholds, human checkpoints, logging, rollback, and vendor oversight.

06

Monitor and challenge

Track drift, overrides, complaints, incidents, disparities, control failures, model changes, value, and residual risk.

Automation that reinforces governance

The target is faster service and operations, better use of information, consistent controls, and evidence that customer and institutional risk remain understood.

Technology ecosystem

Trusted platforms. Thoughtful delivery. A faster path to value.

We combine leading cloud, data, AI, CRM, and CX platforms with Gatestone’s customer operations experience to move from strategy to production and keep improving after launch.

Our platform approach starts with the systems already critical to your business. We align architecture, data, security, integration, and operating ownership so every implementation reaches production with a clear path to adoption and continuous improvement.

Our platform approach starts with the systems already critical to your business. We align architecture, data, security, integration, and operating ownership so every implementation reaches production with a clear path to adoption and continuous improvement.

DATA FOUNDATION

DATA FOUNDATION

AI + WORKFLOW ORCHESTRATION

AI + WORKFLOW ORCHESTRATION

CUSTOMER EXPERIENCE

CUSTOMER EXPERIENCE

PLATFORMS WE WORK WITH

  • CallMiner
  • IntelePeer
  • Five9

  • Fin

  • TCN

  • Aryza

  • Microsoft

  • Google Cloud

  • Claude

  • aws

Outcome architecture

Define the business decision, experience, and operating metric before choosing technology.

Governed integration

Connect identity, data, workflow, and permissions so AI can operate safely in context.

Adoption and optimization

Instrument performance, train teams, and improve continuously after launch.

How it works

From governed experimentation to production operations

Document intelligence

Extract, classify, validate, and route information with confidence thresholds and exception workflows.

Decision support

Fraud and risk operations

Model monitoring

Trust and governance

Responsible AI within the control framework

Solutions provide traceability, validation, security, model governance, and clear human accountability.

Explainability matched to decision impact

Separation of duties and approval controls

Ongoing monitoring with documented escalation

Trust and governance

GOVERNED

04

Responsible AI within the control framework

Responsible AI within the control framework

Explainability matched to decision impact

Explainability matched to decision impact

Explainability matched to decision impact

REQUIRED

REQUIRED

Separation of duties and approval controls

Separation of duties and approval controls

Separation of duties and approval controls

EMBEDDED

EMBEDDED

Ongoing monitoring with documented escalation

Ongoing monitoring with documented escalation

Ongoing monitoring with documented escalation

VERIFIED

VERIFIED

Automation that reinforces governance

Automation that reinforces governance

Automation that reinforces governance

OUTCOME

OUTCOME