Advisory & Servicing Copilots
Agents draft client communications, summarize accounts and answer servicing queries, where a single wrong number is a mis-selling or compliance event.
Advisory copilots, automated underwriting, agentic operations. We help banks, lenders and fintechs adopt AI with the explainability, controls and evidence regulators expect.
AI is moving into the highest-stakes workflows in finance, credit, fraud, servicing, compliance. The reward is speed and margin; the risk is a model you can't explain, customer data in a public tool, and an auditor asking questions you can't answer. Periscope makes AI defensible from day one.
What's Happening Now
From the front office to the back office, AI is already touching regulated, revenue-critical processes.
Agents draft client communications, summarize accounts and answer servicing queries, where a single wrong number is a mis-selling or compliance event.
Models score risk and price credit in seconds, putting fair-lending, bias and explainability squarely under the regulator's lens.
Anomaly detection catches fraud earlier, while attackers use the same AI, including deepfakes, to get through your controls.
The AI Challenge
The models work. What's hard is deploying them into a regulated institution without creating exposure no one can defend later.
Model-risk governance (SR 11-7 and equivalents) demands explainability and evidence. A black-box AI decision on credit or fraud is a finding waiting to happen.
Account data, PII and MNPI pasted into consumer AI tools leaves your boundary, a breach and a compliance failure with no trail.
A customer-facing model that invents a figure, term or eligibility rule turns an efficiency win into mis-selling liability in a single response.
We keep data inside your boundary, make every model decision explainable and logged, and put a human on regulated actions, so AI accelerates the business without adding audit or model risk.
How We Help
We build AI into finance the way examiners, risk teams and boards need to see it, controlled, explainable and evidenced.
Models run in your VPC or on-premises so account data, PII and MNPI never leave, routed per workload for data-residency rules.
Documentation, validation and explainability aligned to SR 11-7-style model risk, so every decision can be justified to a regulator.
Approval gates and draft-mode agents keep an accountable person on credit, servicing and disclosure decisions.
Tokenization, redaction, encryption and audit logging, the compliance evidence for SOC 2, PCI and internal audit, generated as you run.
Detection hardened against AI-powered attacks, including synthetic identity and deepfake fraud, with 24×7 monitoring.
Governed APIs and lifecycle control for the tokens, keys and agent credentials that now outnumber your people.
The outcome: AI that moves at market speed, explainable, contained and examiner-ready.
How We've Helped
Modernizing the infrastructure banks run on, more secure, easier to operate, and dramatically cheaper.
Case study · US regional bank
We re-platformed a bank's ~1,800 staff desktops from a fragile, manual on-prem VDI to Azure Virtual Desktop, per-role images, Intune and Defender security, real-time monitoring and automation, cutting 3-year TCO ~39% and hardening the estate, proven first in a successful PoC.
Read the case studyReady to Adopt AI Safely?
Book a consultation for a fixed-scope assessment of where AI pays off first and how we make it defensible end to end.
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