AI that shows up in the P&L.
We turn the documents and data your firm already has into underwriting, credit, and portfolio decisions — governed for your regulator, your auditor, and your LPs.
investor profits from production AI platforms, at a 14% IRR
decision accuracy on a regulated underwriting engine, 33% faster
days — one monitoring cycle, rebuilt agentic
underwriting & reserve accuracy improvement at a global insurer
Most AI initiatives die between the demo and the P&L.
The pilot impressed everyone — then it met the real data, the model-risk committee, and the workflow nobody mapped. The firms that get AI into production solve the unglamorous layer: data foundations, governance, and the last mile into real decisions. That layer is what we do.
AI Value Diagnostic
The decision-grade answer to “where should our AI dollars actually go?” — a scored use-case portfolio and a 12-month roadmap with a 90-day plan.
What’s included → 02 · 6–8 weeksDocument-to-Decision Sprint
A working document-intelligence pipeline on your documents, with human-in-the-loop approval and the governance memo that makes it defensible.
What’s included → 03 · OngoingFractional AI Leadership
A senior AI executive on retainer: roadmap execution, build-vs-buy calls, governance, and board reporting — without the full-time hire.
What’s included →Five deep specialisms. One open door.
Private Credit
Agreements and borrower packages arrive as PDFs and leave as manual spreads.
→ 02Private Equity
An AI thesis that survives the investment committee — deal clock and portfolio both.
→ 03Specialty Finance
Growth capped by how fast a person can read a loan tape and clear an exception.
→ 04Life, Annuity & PRT
Decades-old participant data between a bid and a win; models that must clear a chief actuary.
→ 05E&S & Specialty Insurance
The first credible quote wins — and submission intake is the actual bottleneck.
→ +Across Financial Servicesreinsurance · fund administration · wealth & asset management · verification & asset servicing
The same document-heavy, regulator-facing problems, wherever they show up in financial services.
→Systems that made it into production.
An underwriting engine a regulator could audit
Unstructured records to a bound decision in a HIPAA- and SEC-regulated environment.
99.9% accuracy · 33% faster → Agentic workflowA 26-day monitoring cycle, compressed to three
Two dozen handoffs re-cut as an agent workflow with humans at the judgment points.
26→3 days · 8× frequency → Data platformThe data model under a 1.5-billion-record moat
Overnight valuation batches turned into same-morning answers on falling infra cost.
−97% runtime · −35% cost →
Twenty years inside regulated finance. Shipped systems, not slideware.
Operating Alpha is founded and personally led by Khurram Tehseen — most recently Managing Director of Data & AI at an $8B+ alternative asset manager, where he served as de facto Chief AI Officer reporting to the CEO. The platforms his teams shipped generated $2.2B+ in investor profits at a 14% IRR.
Managing Director, Data & AI — $8B+ alternative asset manager · 160-person global organization · FSA, FCIA · Claude Certified Architect