A personalized AI scenario portfolio — built specifically for Citi.
Citigroup is running one of the largest technology transformations in banking — $3.1B in quarterly tech spend, 400+ legacy applications retired since 2024, 70% of core workloads in the cloud, and a mainframe-to-microservices migration targeted for end-2026. GenAI coding assistants are already live for ~140,000 developers across 8 countries, and the firm's data-transformation program runs in lockstep with regulatory remediation under Tim Ryan and Anand Selva. William Kinnard's background spans regulatory services, client experience, and financial software — so this portfolio targets the intersection of Citi's agenda and his: accelerate modernization with a leaner team, embed defensible AI governance, and turn regulatory and operational complexity into citation-backed, auditable automation.
Prepared for William Kinnard
7Years AI in Production
6M+Lines of Code Migrated
35%Faster Time-to-Market
92%Compliance Search Accuracy
12 wkTo Production
WHY THESE SCENARIOS
Where AI pays off for Citi
We mapped Citi's priorities to Accion's production AI capabilities. These 6 scenarios are where the fit is strongest — each backed by a proven framework and real client outcomes.
1BreezeAI SDLC AccelerationCiti rolled GenAI coding assistants to ~140K developers — BreezeAI turns that into a guaranteed 35% faster roadmap with a leaner team.
2ASIMOV COBOL-to-Java Modernization400+ legacy apps retired since 2024 — ASIMOV modernizes COBOL credit systems up to 4x faster with zero-regression logic preservation.
6Trade Finance Reconciliation EngineTrade-finance ops at Citi scale — 85% less document handling; SPEX approved a $500K transaction in 18s across 5 systems at Choice Bank.
THE PORTFOLIO
6 AI scenarios, matched to your priorities
Each is grounded in production Accion IP and real client outcomes — not slideware.
WHY IT FITSCiti rolled GenAI coding assistants to ~140K developers — BreezeAI turns that into a guaranteed 35% faster roadmap with a leaner team.
BreezeAI—Accion's AI-native SDLC platform—accelerates the full development lifecycle by 35%, reduces defects by 47%, and cuts tech debt by 58%, with a 30% acceleration guarantee or refund.
THE CHALLENGE
Delivery cycles are too long for relentless time-to-market pressure
Manual coding, review, and testing throttle throughput
Tech debt slows every subsequent sprint
Engineering talent is scarce and expensive
KEY OUTCOMES
35% faster time-to-market (guaranteed)
47% fewer production defects
58% reduction in technical debt
40–50% developer productivity gain — same roadmap with a smaller team
ACCION IP
SMARTER PRODUCTS
REPEATABLE
ASIMOV COBOL-to-Java Modernization
BFSI (Banking & Finance) · Legacy-to-Modern
WHY IT FITS400+ legacy apps retired since 2024 — ASIMOV modernizes COBOL credit systems up to 4x faster with zero-regression logic preservation.
ASIMOV analyzes the legacy COBOL credit module and migrates it to modern Java—preserving every business rule while delivering up to 4x faster modernization at up to 60% lower cost, with rigorous validation against the original.
THE CHALLENGE
Mainframe COBOL credit modules are costly, brittle, and scarce in skills
Manual COBOL-to-Java rewrites are slow and high-risk
Decades of business logic must be preserved exactly
Banking systems demand zero functional regression
KEY OUTCOMES
Up to 4x faster modernization
Up to 60% lower cost vs. manual rewrite
Zero-regression business-logic preservation
ACCION IP
SMARTER PEOPLE
REPEATABLE
Regulatory Compliance Knowledge Assistant
BFSI (Banking & Finance) · Knowledge-to-Action
WHY IT FITSUnder active regulatory remediation — instant, citation-backed answers across Basel, AML, KYC and SOX at 92% accuracy.
Accion's KnowledgeMesh ingests regulatory frameworks, internal policies, and circulars into a compliance assistant that answers complex regulatory questions with precise citations—keeping banking teams aligned to current rules and flagging where internal policy diverges from regulation.
THE CHALLENGE
Banking regulations (Basel III, AML, SOX, KYC) change constantly and span thousands of pages
Compliance officers manually cross-reference policies against ever-shifting regulatory text
A single missed regulatory update can mean multi-million-dollar fines
Frontline staff need instant, accurate compliance guidance to avoid violations
KEY OUTCOMES
Instant, citation-backed regulatory answers
92% search accuracy across compliance content
Reduced exposure to fines from missed regulatory updates
WHY IT FITSThe data-transformation program needs governance — one pane to govern AI and cut shadow-AI risk across 140K employees.
This validated portal gives organizations a single pane for AI governance and discovery—cataloging AI assets, enforcing governance, and surfacing reusable solutions across business units.
THE CHALLENGE
AI initiatives proliferate across business units with no central governance
Duplicate and shadow AI efforts waste budget and create risk
Leaders lack visibility into the AI portfolio and its compliance
Discovering reusable AI assets across the org is impossible manually
KEY OUTCOMES
Single pane for enterprise AI governance
Reusable AI assets discoverable org-wide
Reduced shadow AI risk and duplication
ACCION IP
SMARTER PROCESSES
VALIDATED
Enterprise Risk Analytics & Loss Prevention
BFSI (Banking & Finance) · Data-to-Insight
WHY IT FITSReal-time, explainable enterprise risk — 40% better prediction accuracy and $10M+ in prevented losses.
Accion's BizBrain AI and Data & Analytics CoE unify risk signals across the enterprise and apply AI-driven prediction—improving risk-model accuracy and catching losses before they occur.
THE CHALLENGE
Risk signals are scattered across transaction, customer, and external data
Legacy rules-based models miss emerging risk and fraud patterns
Slow risk detection translates directly into financial losses
WHY IT FITSTrade-finance ops at Citi scale — 85% less document handling; SPEX approved a $500K transaction in 18s across 5 systems at Choice Bank.
Accion's Semantic.AI automates extraction and matching across trade-finance documents—clearing clean transactions and routing only genuine exceptions to specialists, accelerating settlement.
Exceptions and discrepancies are slow to identify and resolve
Document-heavy workflows delay trade settlement
Errors carry significant financial and compliance risk
KEY OUTCOMES
85% reduction in document handling time
Automated exception detection
SPEX proven: $500K transaction approved in 18s across 5 systems (Choice Bank)
ACCION IP
HOW WE ENGAGE
From workshop to production in 12 weeks
Low-risk, fast-to-value, and yours to keep — full technology transfer at the end.
STEP 1 · WEEKS 1–2
Discovery Workshop
STEP 2 · WEEK 4
Working MVP
STEP 3 · WEEK 12
Production
ONGOING
Operate & Scale
Our commitment: a working agent loop live in your environment by week 4, written into the SoW — plus full tech transfer so you own the knowledge graph, agent specs, and orchestration code.
Let's build Citi's AI roadmap.
Start with a 2-week Discovery Workshop — we'll pinpoint your highest-ROI scenarios and stand up a working MVP in your environment by week 4.
