Enterprise AI Execution · Client Results
Where enterprise AI execution
actually converts.
Most enterprise AI pilots die at the CRO review — not the technology review. The governance documentation doesn't exist, and the program is cancelled in month six. At CAIBots, governance is deployed before the first production query runs. That is why 25% of our pilots become production systems, versus less than 5% across the industry.
25%
Pilot → Production Rate
vs. <5% industry average · Internal pipeline
~70%
Manual Review Reduction
Modeled · $85/hr BSA baseline · KYC/AML
85–92%
Demo-Environment Accuracy
Controlled demo · Production varies by deployment
<90d
Contract to Production
4-phase structured deployment
The mechanism that separates 25% from 5%
Most pilots die at the CRO review.
Not the technology review.
The AI works. The accuracy is acceptable. But the governance documentation doesn't exist when the risk committee asks for it — and the program is cancelled in month six. CAIBots deploys governance architecture before the first production query runs.
25%
Pilot → Production
CAIBots pipeline
CAIBots pipeline
Internal data
<5%
Industry average
pilot conversion
pilot conversion
McKinsey / Gartner
5×
Conversion rate
advantage
advantage
vs. benchmarks
100%
Audit coverage
from day one
from day one
Not day 60
“I built the governance architecture because I'd watched $100M+ deals fail at model risk review at TCS. I knew the failure mode from the outside before I built the fix from the inside.”
— Kishor Akshinthala · Co-Founder, CAIBots
Industry Benchmark Sources
Gartner AI project failure research (>80% abandonment rate) · McKinsey 2023 State of AI (fewer than one-third of PoCs reach production) · Forrester enterprise AI survey (under 10% in regulated industries reach full production with contracted ARR)
Model Cards — Written During Pilot Design
Not retrofitted after the fact. Built before the first deployment query runs. Covers intended use, known limitations, bias testing scope, and performance boundaries. When the CRO review happens, risk gets a document — not a promise that documentation will be produced.
SHAP + LIME Explainability — From Day One
Every production output is traceable to source documents with citation paths. When a regulator asks "why did the model make this decision?" — the answer is a structured evidence trail, not a shrug. SR 11-7, AML documentation, GDPR Article 22 — all satisfied architecturally.
Immutable Audit Logs — Every Query, Every Output
Tamper-proof, timestamped, attributed from the first execution. If something goes wrong — a bad credit decision, a compliance miss, a disputed fraud call — the audit trail exists from day one. Not reconstructed from memory sixty days later.
HITL Gates — Documented in Writing Before Pilot Closes
Not described verbally in a kickoff meeting. Written policy, before go-live: which decisions require human review, what the reviewer evaluates against, how overrides are recorded. The CRO review becomes a sign-off on existing documentation. That is the mechanism that produces 25% versus sub-5%.
Governance Matrix — Configurable by Role, Value, Data Class
Every enterprise deployment receives a configurable governance matrix that defines what executes automatically, what requires approval at which role level, and what is categorically prohibited. SR 11-7, MiFID II, HIPAA, EU AI Act, DORA enforced natively — not bolted on after the fact.
Verify Governance in Action
Every demo includes a live governance audit trail. Watch it enforce.
KYC / AML · Compliance
KYC / AML Execution
8 scenarios · EDD · SAR · OFAC · 314(a) · Live audit log
Launch Demo →
Fraud Detection · Risk
Fraud Detection
10 scenarios · ATO · BEC · SWIFT · BioCatch · P0/P1 routing
Launch Demo →
Credit Underwriting · Lending
Credit Underwriting
10 scenarios · $32K–$42M · Reg B · HMDA · SR 11-7
Launch Demo →
Investment Research · Capital Markets
Investment Research
10 scenarios · NVDA · JPM · MiFID II · 8.2s first draft
Launch Demo →
Enterprise · Financial Services · Multi-Agent Orchestration
SVP, Head of Products & Platform
Tier-1 Financial Services Client · Multi-Agent Production Deployment
A financial services enterprise deployed a coordinated three-agent stack — Lightning Lead (qualification), BookWise (appointment scheduling), and CompliCheck (compliance document review) — across multiple business lines on the CAI Enterprise tier. All three agents share organizational memory and hand off context without human intervention between steps. The governance architecture was deployed before the first production query: model cards written, SHAP explainability configured, HITL gates documented. The CRO review became a sign-off on existing documentation rather than a request for documentation that didn't exist.
“CAIBots is an excellent solution for businesses looking to streamline customer service operations. The NLP capabilities ensure interactions feel seamless and human-like — and the analytics tools provide valuable insights into customer behavior.”
— SVP, Head of Products · CAIBots Enterprise Client
⚡ Lightning Lead
📅 BookWise
✅ CompliCheck
SR 11-7 Aligned
RBAC Controls
SHAP Explainability
Full Audit Trail
Execution Results
56%
Increase in immediate visitor response rateMulti-agent vs. manual
70%
Reduction in manual lead triage timeModeled · internal pilot observation
3×
Sales team productivity multiplierInternal pilot · single engagement
24/7
Autonomous multi-agent executionZero human handoff on standard cases
Enterprise · BSA / AML · Execution Automation
BSA Officer, Regional Bank
Mid-market Financial Institution · KYC/AML Execution Pilot
A regional bank's BSA team was processing 400+ KYC reviews per month manually — each taking 45 minutes on average at a loaded analyst cost of $85/hour. CAIBots deployed the KYC/AML execution pipeline: automated SDD auto-clear, EDD triggering with PEP screening, SAR obligation identification against FinCEN thresholds, and Actimize case creation. The pilot covered the 8 production-accurate scenarios from the live demo. Governance matrix defined auto-execute vs. BSA Officer review thresholds before the first query ran. FFIEC Chapter 5.2 mapping was completed and embedded in the audit log template.
“The governance documentation was ready before we asked for it. That had never happened before in an AI pilot. It's what made the risk committee comfortable enough to move forward.”
— Head of AI Risk · Tier-1 Bank · Via Free Bot Discovery Session
Actimize FRAML
SEC EDGAR Live
BSA / AML
FFIEC Ch.5.2
FinCEN 314(a)
OFAC SDN
Execution Results
45min
Manual review time per case→ under 6 minutes with CAIBots
~70%
Projected review reductionModeled · $85/hr BSA baseline
$2.4M+
Modeled savings at 10K cases/yrVerified ROI formula · see calculator
100%
Audit trail from first executionRegulator-readable on demand
Enterprise · Capital Markets · Investment Research Automation
Director of Research, Asset Manager
Mid-market Asset Management Firm · Investment Research Pilot
A research team of 6 analysts was spending an average of 8 hours per research note — from earnings transcript ingestion through model build through memo drafting. CAIBots deployed the Investment Research execution pipeline across 10 production scenarios: NVDA earnings flash, JPM full SOTP/DCF initiation, PHC high-yield credit IC memo, M&A event-driven analysis, and FOMC portfolio sweep. Every output requires analyst sign-off before distribution. MiFID II RTS 28/29 compliance is logged automatically — T+1 filing happens without a manual extraction step.
“Eight seconds to a first draft that would have taken eight hours. The analyst still owns the output — but the starting point is a finished memo, not a blank page.”
— Director of Research · Asset Management Client
Bloomberg Terminal
SEC EDGAR Live
MiFID II RTS 28/29
NVDA · JPM · PHC · TSLA
Analyst Sign-off Gate
Execution Results
8hrs
Manual research note → first draft→ 8.2 seconds with CAIBots
$0.04
AI draft cost per research notevs. ~$960 analyst time · draft only
T+1
MiFID II regulatory filingAuto-filed · zero missed deadlines
10
Production research scenarios activeEquity · HY credit · M&A · macro
Enterprise · Technology Partner · Platform Licensing
Technology Solutions Partner
CaiOS Enterprise Licensee · 14 Agent Deployments Across 6 Client Brands
A technology solutions firm licensed CaiOS Enterprise to build and white-label AI agent products for their own enterprise clients. With 14 agents deployed across 6 client brands, the platform license reduced per-agent cost significantly versus individual custom builds. Their clients never interact with CAIBots directly — full IP and brand control retained by the licensee. The Earn-As-You-Go model means the partner scales their own revenue as their client base grows, with CAIBots execution infrastructure operating invisibly underneath every deployment.
“Full platform ownership means we can price our own services, own the client relationship, and build new agent products as the market evolves — without rebuilding from scratch each time.”
— CaiOS Enterprise Technology Partner
🏛 CaiOS Enterprise
White-Label Deployment
Earn-As-You-Go
Custom Model Fine-Tuning
No-Code Builder
Platform Results
14
Agents deployed across 6 client brands
6
White-label client brands · full IP control
↓
Per-agent cost vs. individual custom buildsPlatform economies of scale
∞
New agent products without infrastructure rebuild
Engagement Model · Enterprise Path
Advisory → PoC → Copilot → Production
Every enterprise client follows a defined maturity path. We enter at the advisory gate, earn the right to pilot, embed as execution copilots, and scale to fully governed production agentic AI. Governance documentation precedes every transition.
Stage 1
Advisory / CVI
AI Strategy & Governance Mapping
PayDefend Solutions
Fraud Risk Strategy Lead
Fraud Infrastructure
RegGuard Insights
AML Compliance Head
RegTech / AML
NeoVault Digital
Digital Banking CTO
Neobank / Fintech
Stage 2
Proof of Concept
Governed Execution Pilots
SecureID Labs
KYC Automation Pilot
Compliance / KYC
AlphaWealth Track
Research Automation PoC
Capital Markets
MedFlow Systems
Prior Auth Automation Pilot
Healthcare
Stage 3
Execution Copilots
Embedded Decision Execution
ClaimEdge Assist
Claims Execution Lead
Healthcare
TradeIQ Platform
Research Copilot Production
Capital Markets
CreditPath Pro
Underwriting Execution Copilot
Credit / Lending
Stage 4
Autonomous Production
Governed · Measured · Scaled
FinData Engine
KYC/AML Execution — Production
Financial Services
ResearchCore AI
Investment Research — Production
Capital Markets
RiskGuard Pro
AML Monitoring — Production
RegTech / AML
Alias names used. All enterprise clients covered by standard NDA. Governance documentation transferred at each stage transition.
Agentic AI Wedge · Financial Services & Healthcare
Where CAIBots plays in the $150B financial AI market
CAIBots targets the $5–8B agentic AI execution layer — operational workflows that require autonomous multi-step execution inside systems of record, governed by compliance frameworks, with immutable audit trails. Not the chatbot layer. Not the BI layer.
Total Addressable Market
~$150B+
Global Financial Services AI
Serviceable Addressable Market
$5–8B
Agentic AI Execution Layer
CAIBots Target · SOM
10–25
Enterprise Anchor Clients
TAM → SAM → SOM
$150B+ total AI opportunity in financial services. CAIBots targets the $5–8B agentic execution layer — landing first with 10–25 anchor clients via advisory, PoC, and production deployment across fraud, AML, credit, research, and healthcare execution.
$150B+ total AI opportunity in financial services. CAIBots targets the $5–8B agentic execution layer — landing first with 10–25 anchor clients via advisory, PoC, and production deployment across fraud, AML, credit, research, and healthcare execution.
Target Sectors — Regulated Enterprise
Fraud / Payments Infrastructure
Autonomous investigation & triage · SEON, Sardine, Unit21, Persona · real-time P0/P1 routing
AML / Compliance RegTech
SAR drafting, sanctions screening, FinCEN 314(a) · ComplyAdvantage, Lucinity, Flagright
Capital Markets & Asset Management
Investment research, trade surveillance, MiFID II T+1 · Bloomberg, OMS, research CMS
Healthcare & Life Sciences
Prior auth, claims adjudication, adverse events · Epic, Cerner, payer systems, FDA MedWatch
Credit & Lending
Underwriting automation · $32K HELOC to $42M syndicated · Reg B, HMDA, CRA, SBA
Insurtech
Claims automation, underwriting copilots · document-heavy workflows end-to-end
Top Execution Use Cases
🔍 Fraud Investigation Execution
Auto-triage, route, and close high-volume alerts. Human reviews exceptions only. SR 11-7 trail.
Fraud / Payments
📋 KYC / AML Case Execution
EDD, SAR drafting, sanctions match, Actimize writes — BSA Officer at the threshold only.
RegTech / AML
📊 Investment Research Generation
8hr research memo → 8.2s first draft. Analyst signs off. MiFID II T+1 auto-filed.
Capital Markets
🏥 Prior Authorization Routing
3–5 day manual cycle → same-day routing. Physician HITL gate on high-risk cases only.
Healthcare
⚖️ Credit Underwriting Execution
$32K–$42M. Full authority matrix. Reg B adverse action auto-generated. SR 11-7 audit trail.
Credit / Lending
Next Step · No Consulting Engagement Required
See why governance first
produces 25% conversion.
30-minute session. We map your highest-value execution workflow, demonstrate live system-of-record writes with a visible governance matrix, and scope a 90-day production path. Bring your CRO's checklist. We'll have answers.
Princeton, NJ · contact@caibots.com · +1 (609) 721-2815