We baseline the workflow before any tool is selected, automate where the data says it matters, and close every engagement with results your CFO and risk committee both validate.
13+
Years IBM Gold Partner
600+
Successful Projects
$200M+
Client Results Delivered
Every AI decision in a regulated workflow needs a documented reason, a human oversight path, and a retrievable audit log. IBM watsonx.governance provides this as part of the deployment.
Fair lending rules apply to AI. Models that drift after deployment create UDAAP and ECOA exposure. Continuous monitoring is now a regulatory expectation. FINRA and the OCC treat it as a supervisory requirement, not advisory guidance.
We define where AI belongs in the process before deployment, embed human-in-loop controls at decision gates, and deliver the governance documentation your risk committee needs to approve the build.
2026 Regulatory Pressure
If you're deploying AI in loan decisioning, AML screening, fraud detection, or client onboarding, regulators expect a documented audit trail at every decision point. Governance bolted on after deployment won't pass a regulatory review. It needs to be designed in before the first model runs.
What We Deliver
Delivered engagements. Production environments. Outcomes measured against a baselined process.
We map the origination workflow from application to decision and identify where manual handoffs are killing cycle time. Document ingestion, credit data retrieval, compliance checking, and routing are automated. Clean applications move through without a human touch. Complex cases arrive at the reviewer with a structured decision package already prepared.
Watchlist screening, risk scoring, document verification, and case creation run inside a single governed BAW workflow. Compliance teams work exceptions only. Every decision is logged with a reason code and a retrievable audit trail built for regulatory review.
AI reads invoices from any channel, extracts and validates against PO data, routes exceptions for review, and posts clean invoices automatically. Manual processing costs drop. Early payment discounts get captured instead of missed.
We baseline the reporting workflow, identify where data collection and validation are manual, and automate the pipeline with embedded controls. Reports arrive accurate. Evidence collection for audits runs without analyst involvement.
IBM Technology for Financial Services
13-year IBM Gold Partner. 2025 IBM AI for Business Award Winner. Every tool below has been deployed in production financial services environments.
The orchestration backbone for loan origination, KYC, payment authorization, and compliance workflows. Handles complex multi-party processes with full auditability and change control designed for regulated environments.
Reads event logs from your core banking, lending, and ERP systems to show exactly where cycle time is lost and which bottlenecks manual mapping never finds. The baseline that makes ROI measurable before you commit budget.
Credit policies, compliance rules, eligibility criteria, and exception logic run as executable decision rules. Business users update rules without touching code. Every decision is traceable and retrievable for audit.
Document intelligence for contract extraction, credit memo summarization, and inquiry classification. Models are selected and tuned for your data, latency, and accuracy requirements. Financial data stays in your environment.
Bias detection, model drift alerts, explainability logging, and automated compliance documentation. Produces the governance package your risk committee needs before approving any AI build.
Data security and activity monitoring for sensitive financial data across databases, warehouses, and cloud environments. Provides the data lineage and access audit trail required for SOX, GLBA, and PCI compliance.
How We Work
Every engagement starts with the process. Evidence first, technology second.
Define claims cycle time targets, adjuster throughput goals, and compliance requirements before any technology decision is made.
Define claims cycle time targets, adjuster throughput goals, and compliance requirements before any technology decision is made.
Define claims cycle time targets, adjuster throughput goals, and compliance requirements before any technology decision is made.
Define claims cycle time targets, adjuster throughput goals, and compliance requirements before any technology decision is made.
Define claims cycle time targets, adjuster throughput goals, and compliance requirements before any technology decision is made.
Proof Point — Mortgage Refi Origination
55%
Reduction in time to close
30%
Capacity increase
60%
Cost reduction per loan
5 wks
Avg processing time eliminated
"By investing in automation, we're putting our own employees in a stronger position to find new opportunities to serve our customers better. Through our work with IBM and Salient, we're building a foundation for delivering ever-improving customer experiences."
Sam Ishak · Chief Information Officer, FCT
Proven Results
We measure success by KPI movement and executive validation, not project completion.
Title Insurance — FCT, Canada's Leading Provider
stp
Straight-through processing achieved
50%
Dev time savings with ODM
IBM CP4BA
Full platform deployment
Mortgage Refi Origination — Large U.S. Lender
55%
Faster time to close
60%
Cost reduction
Payment Authorization — Long-Term Disability Insurer
80%
Cycle time improvement
1,000+
Authorizations per week
How to Engage
4-6 Weeks
2-3 Weeks
