Enterprise AI, Engineered.
Four stages. From legacy operations to autonomous AI.
Takeover.
We assume operational ownership of a target process — compliance operations, KYC review, transaction monitoring, fraud triage, regulatory reporting — and run it from our global delivery centers.
The economics shift immediately. We restructure the cost base from FTE-heavy to outcome-priced, deliver 50%+ savings on signing, and absorb the operational risk while planning the transformation.
Operate & AI-Native Re-Engineering.
While operating the process at the new cost base, our teams decompose the workflow into AI-ready primitives — data flows, decision points, control gates, exception paths.
The process is rebuilt for AI before AI is introduced. No bolt-on. No retrofitting. The legacy workflow is reborn as an AI-native operating model.
AI Automation & Implementation.
AI and agentic AI are deployed across the re-engineered process. Intelligent automation handles routine work. Agents handle multi-step reasoning. Humans handle escalations and judgment calls.
Auditable by construction. Every agent action is logged, explainable, and traceable to a control. Regulatory defensibility is built in — not retrofitted.
Autonomous Operations & Human-in-the-Loop.
The process reaches autonomous steady state. Agents run end-to-end with human oversight at strategic decision points, exception handling, and control review.
The economic and operational ceiling is removed. Volumes scale without linear cost. Regulators get the auditability they've always wanted. Your team focuses on judgment-intensive work that actually requires people.
Process domains built for transformation.
Compliance Operations.
KYC, CDD, transaction monitoring, sanctions screening, SAR drafting, regulatory reporting, QA & QC.
Risk & Controls.
Risk assessments, control testing, issue management, audit support, exception triage, second-line review.
Fraud & Financial Crime.
Fraud detection, alert triage, investigation workflow, case management, false-positive reduction.
Customer & Operations.
Onboarding, service operations, disputes & chargebacks, document review, back-office processing.
Regulatory Reporting.
Call reports, AML/SAR/CTR filings, FINMA / NCUA / DFPI submissions, cross-border reporting.
AI Governance.
Pre-deployment AI assurance, EU AI Act readiness, NIST RMF alignment, model risk management.
Most AI vendors build first and ask the regulator later. We build the other way around.
Safe by design.
Safety isn't a guardrail bolted on after deployment. It's in the architecture from the first design session — control mapping, audit logging, escalation paths.
Compliant by default.
When the people who used to audit AI start building it, the systems ship. Every agent action is explainable, traceable, and tied to a regulatory control.
Scalable by construction.
The four-stage model is built to extend — process by process, business unit by business unit. One operating philosophy across the enterprise.
Economic from day one.
The Takeover phase delivers contractual cost savings before any AI is built. The transformation pays for itself before it starts.
What the operating model looks like in practice.
Most transformations cost before they save. Ours saves before it builds.
A 30-minute call with a partner. We'll walk through one of your processes — what we'd take over, what the day-one economics look like, and what the four-stage path becomes.