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Pilot Planning & Governance Design · CAIBots

Enterprise AI Value &
Governance Assessment

Identify the 3–5 AI initiatives most likely to create measurable business value in your organization — in the next 12 months.

ROI Projections
Governance Readiness Score
Agentic Workforce Assessment
90-Day Implementation Roadmap
81%
Of orgs see no meaningful AI gains
14d
From kickoff to roadmap delivered
8
Organizational capabilities scored
100%
Fee credited toward deployment

Why Trust CAIBots
27 years in financial services, including 19 at TCS
$8B+ enterprise TCV
AI governance focus for regulated industries
Creator of the Agentic Workforce framework
Proprietary ALR / ACI / EVA metrics
The Right Question
Most Organizations Ask
“Which AI model
should we buy?”
The Right Question
“Which processes create measurable value when AI agents do the work?”

That is exactly what the CAIBots Pilot Planning & Governance Design answers — with a prioritized roadmap, financial model, and governance readiness score delivered in 14 days.


IPRODECISIONS
Methodology & Research Partner
Powered by the iPRODecisions AI ROI Framework and delivered by CAIBots — one firm from assessment through deployment.
View Research Archive ↗

One Partner. Full Journey.

Why CAIBots?

Most organizations work with a strategy firm, then a governance consultant, then a technology vendor.
CAIBots is all three — purpose-built for regulated enterprises.

📊
AI Strategy
Identify and prioritize the highest-ROI AI opportunities across your organization using the CAIBots AI ROI Framework
🛡️
AI Governance
Score your readiness against SR 11-7, FFIEC, and NCUA requirements and close every gap before a pilot begins
AI Execution
Deploy governed AI agents into your systems of record in 14–21 days — assessment fee credited in full

The Problem

Why 81% of AI Initiatives
Don’t Deliver Meaningful Gains

* McKinsey Global Survey on AI, 2024: 81% of organizations report AI investments are not delivering expected business value at scale.

It’s not the technology. It’s the approach. Most organizations treat AI as an IT upgrade. The ones that win treat it as an organizational transformation.

The Losing Approach
Hand it to tech. Wait for updates.
Treating AI as an IT problem means one function owns it and everyone else waits. Like a star striker with ten passengers — the technology is there, the organization isn’t.
Killed use cases nobody adopted
Zero usage despite real investment
Regulator findings on ungoverned AI
Accumulating adoption debt — gaps grow invisible
The Winning Approach
Deploy as a squad. Every position covered.
Enterprise AI works the same way as a winning team. Eight organizational capabilities must move together. Miss one and your effective AI capability is set by your weakest link — not your strongest.
AI thesis directly linked to business outcomes
Use-case prioritization with ROI discipline
Governance built in, not bolted on
Measurable capacity creation from day one
8 Capabilities the Assessment Scores — All Must Move Together
🎯
Strategy
AI thesis linked directly to business outcomes
📈
Value
Use-case prioritization and killing fails fast
💰
Financial
Funding model and ROI discipline
🏢
Organization
Operating model and AI leadership structure
👥
People & Culture
Workforce planning, literacy, role redesign
🛡️
Governance
Policies, decision rights, risk tiers
⚙️
Engineering
Platforms, architecture, build-vs-buy decisions
📊
Data
Readiness, quality, and AI governance

Who This Is For

Built for Leaders Who Are
Done with AI Theater

For senior decision-makers in regulated enterprises who have seen AI pilots come and go — and need a rigorous foundation before committing more budget.

Chief Executive Officer
You’ve approved AI spend. You’re not sure what you got back.
“We’ve run three pilots in two years. I can’t tell you what the actual ROI is on any of them.”
You leave with: A board-ready AI investment thesis — 3-year financials, capacity creation models, and a deployment sequence your team can execute this quarter.
Chief Risk / Compliance Officer
Your team keeps saying no because the governance isn’t there.
“Every AI proposal arrives without an audit trail, model documentation, or examiner-ready explainability. We can’t approve that.”
You leave with: A Governance Readiness Score — gap analysis against SR 11-7, FFIEC, and NCUA requirements, with a remediation plan for every finding.
Chief Operating Officer
You see the upside but can’t build the business case internally.
“I know there’s efficiency in underwriting, KYC, and reconciliation. I don’t have the framework to prioritize it or present it to the board.”
You leave with: A use-case priority matrix — ranked by ROI magnitude, implementation complexity, and governance risk, with time-to-value estimates for each.

CAIBots Agent Performance

What Governed AI Agents Actually Deliver

The assessment identifies which of these workflows apply to your organization — and what the financial impact looks like at your specific cost structure.

45 minutes manual
<8min
KYC & AML Review
KYCGuard + AML Investigator agents running in parallel across three compliance horizons with full audit trail
8 hours manual
<4min
Earnings Flash Note
Full analysis, financial model, narrative, and source citations delivered before the market opens
3.5 hours manual
<6min
GL Reconciliation
Matching, exception flagging, and report generation across the full ledger — autonomously
Business hours only
24/7
Customer Operations
Autonomous AI workforce handling tier-1 and tier-2 inquiries and escalations around the clock

Why CAIBots

Most AI Vendors Provide Chatbots.
CAIBots Provides an AI Workforce.

Most AI Vendors Provide
Foundation models with no workflow
Chatbots and co-pilots
Pilots that never reach production
Black-box decisions, no explainability
Activity metrics with no business outcome
CAIBots Provides
Governed AI Agents with full workflow
Human-in-the-Loop Controls on every decision
Complete Audit Trail — every action logged
Multi-Agent Orchestration (OrchestratorCore)
Explainable AI with full source citations
Regulatory Governance built into every agent
Enterprise Security — private cloud or on-prem
Production deployment in 14–21 days
36
Enterprise AI Agents Ready to Deploy
Agentic Capacity Index — same headcount
14d
Average Time to Production Deployment
100%
Audit Trail Coverage on Every Decision
SR
11-7
Model Risk Framework Compliant
0
lock
No Lock-In · Exit at Day 30 or 60
5
Regulated Deliverables Transferred to Your Team

The CAIBots Agent Workforce

Meet the Agents Your Assessment
Will Prioritize for Deployment

36 pre-built AI agents across five estates — every one of them live and runnable at caibots.com/demos, not a catalogue slide. The assessment identifies which deliver the highest ROI for your institution first.

Compliance & Risk
KYCGuard
AML Investigator
ClaimPro
Regulatory Review Agent
Policy Intelligence Agent
SAR Drafting Agent
OFAC Screening Agent
Banking Operations
Loan Review Agent
Fraud Analysis Agent
Customer Onboarding Agent
Collections Agent
GL Reconciliation Agent
Document Processing Agent
Reporting Agent
Capital Markets
TradeIQ
Investment Research Agent
Portfolio Intelligence Agent
Due Diligence Agent
Earnings Flash Agent
Market Sweep Agent
Revenue & Platform
LightningLead
SDR Agent
Customer Success Agent
OrchestratorCore
AuditIntel
ModelRouter
RAGCore
Your assessment identifies which agents deliver the highest ROI for your institution first — and produces a ready-to-execute 90-day pilot plan to deploy them.

The Methodology

The iPRODecisions AI ROI Framework
Applied to Your Organization

A three-layer ROI model scored across six value dimensions. Not a questionnaire — a financial and governance diagnostic built for regulated enterprises.

01 TRADITIONAL AI ROI Efficiency Can the machine do it better, faster, or cheaper? Fraud Detection Credit Scoring AML FTE Hours Saved PRIMARY METRIC 02 GENAI ROI Knowledge Productivity How much cognitive work can be accelerated at scale? Research Documents Proposals Time Compression Ratio PRIMARY METRIC 03 AGENTIC AI ROI Workforce Multiplication How much capacity can be created without headcount growth? ALR ACI EVA Agent Leverage Ratio (ALR) PRIMARY METRIC 04 AGENTIC WORKFORCE Enterprise Capacity Creation How much organizational capacity without proportional headcount growth? Agentic Capacity Index Economic Value of Agents Workforce Capacity TARGET OUTCOME
◆ Framework Architecture — From Automation to Amplification
Measuring the true value of AI, GenAI, and Agentic AI across your organization
01
Traditional AI ROI · Efficiency
Can the machine do it better, faster, cheaper?
“Can the machine make a prediction better, faster, or cheaper than a human?”
FTE hours saved and error reduction quantified
Fraud losses and compliance penalties avoided
Processing cost reduction by workflow
Applied to: Fraud, Credit Scoring, AML
02
GenAI ROI · Knowledge Productivity
Accelerate cognitive work at scale
“How much cognitive work can be accelerated at scale?”
Time Compression Ratio: Baseline ÷ AI-Assisted
First Draft Velocity — time to usable output
Quality: rework %, hallucination rate
Applied to: Research, Documents, Proposals
03
Agentic AI ROI · Workforce Multiplication
Create capacity without proportional headcount
“How much organizational capacity can be created without proportional headcount growth?”
ALR = Active Agents ÷ Human Supervisors
ACI = Human Capacity + Agent Capacity
EVA = Equivalent labor value from agents
DVI = Time from question to decision
Built on Original Research
iProDecisions Agentic Workforce Research
Agent Leverage Ratio (ALR) · Agentic Capacity Index (ACI) · Economic Value of Agents (EVA)
Agentic Workforce Research ↗
◆ 6-Dimension AI Value Scoring — Every Use Case Scored Across All Six Dimensions
1
AI ROI
Efficiency
Cost, time & friction reduction
2
GenAI ROI
Knowledge Productivity
Cognitive work acceleration
3
Agentic ROI
Workforce Capacity
Human-agent multiplication
4
Decision ROI
Decision Velocity
Faster, more confident decisions
5
Innovation ROI
Time-to-Value
Faster market responsiveness
6
Governance ROI
Risk-Adjusted Value
Trust, control & scale

What You Receive

Five Deliverables.
All Transferred. All Actionable.

Built on your institution’s actual cost structure, workflows, and regulatory context — not industry benchmarks or generic recommendations.

1
Strategic Document
Enterprise AI Value Map
Visual map of every identified AI opportunity across your organization, scored on the 6-Dimension model. Each use case carries an ROI layer classification, estimated value range, and implementation complexity rating — so your team can prioritize with data, not politics.
20–30 use cases identified across your functions
Scored on all 6 value dimensions
Ranked by ROI magnitude × governance risk
Exec presentation + working spreadsheet
2
Financial Model
3-Year Financial Impact Model
CFO-ready model built on your institution’s actual numbers — not industry averages. Base, bear, and bull scenarios with Year 1 ramp assumptions, 3-year NPV at 8% WACC, and projected IRR. Editable Excel model transferred to your team.
Base / bear / bull for top 5 use cases
3-year NPV at 8% WACC + IRR calculation
Month-by-month Year 1 cash flow model
Editable Excel transferred to your team
3
Compliance Report
Governance Readiness Score
Structured assessment of your AI governance posture scored against SR 11-7 model risk requirements, FFIEC examination guidance, and applicable NCUA or state frameworks. Gap register with severity classifications and remediation sequencing plan so your compliance team can say yes.
Scored vs. SR 11-7, FFIEC, NCUA
Gap register: High / Med / Low severity
Remediation plan with effort estimates
Human-in-the-loop requirements per use case
4
Measurement Framework
Agentic Workforce Capacity Analysis
Your current Agent Leverage Ratio (ALR) baseline, maturity stage classification, and 12-month target trajectory. Includes Agentic Capacity Index (ACI) and Economic Value of Agents (EVA) — the scorecard your board will use to measure AI as a capacity creation system.
ALR baseline + maturity stage classification
12-month target with milestone checkpoints
ACI: Human + Agent capacity units quantified
EVA: Dollar-equivalent labor value per use case
5
Execution Roadmap
90-Day Pilot Roadmap
A specific, named recommendation for your first CAIBots deployment — which agent, which workflow, which department, which success metrics. UAT scenario set with pass/fail criteria, week-by-week activation plan, and no-penalty exit options at Day 30 and Day 60.
Named agent + workflow + department
UAT scenarios with pass/fail criteria
Week-by-week 12-week activation plan
No-penalty exit at Day 30 and Day 60

How It Works

14 Days.
Four Structured Phases.

A fixed process — efficient for your team, thorough enough to produce institutional-grade output. Total time commitment from your organization: approximately 6 hours.

Days 1–3
Discovery & Intake
90-min leadership call (CEO / COO / CRO)
Current process documentation review
AI vendor and tooling inventory
Workflow timing benchmarks collected
Regulatory exam history reviewed
Days 4–7
Use Case Mapping
Function-by-function AI opportunity scan
Classification across all 3 ROI layers
Preliminary value sizing per use case
Dependency and sequencing analysis
Quick-win vs. strategic-bet separation
Days 8–11
Financial & Governance Modeling
3-year ROI model on your cost structure
ALR baseline and ACI calculation
Governance score vs. SR 11-7 / FFIEC
Gap register with severity ratings
Remediation plan drafted
Days 12–14
Readout & Delivery
2-hour executive readout session
All 5 deliverables transferred
90-day pilot recommendation presented
Q&A with CAIBots advisory team
30-day follow-up call included

Industries

Purpose-Built for
Regulated Enterprises

CAIBots is not a horizontal AI platform retrofitted for compliance. Every agent and governance control is built for the regulatory environments your organization operates in.

Banking
Credit Unions
Insurance
Capital Markets
Wealth Management
Healthcare
Enterprise Services
Mortgage Servicers
Payment Processors
Government Contractors

From Strategy to Execution

The Assessment Produces
the Roadmap. CAIBots Executes It.

Unlike consulting firms that hand off to a systems integrator, CAIBots is both the assessor and the execution platform. The roadmap your assessment produces is a ready-to-activate deployment plan for CAIBots agents.

Three steps from assessment to deployed AI workforce.

The assessment identifies your highest-ROI AI opportunities and scores your governance readiness. CAIBots agents execute the workflows your roadmap prioritizes — inside your systems of record, with full audit trails and human-in-the-loop controls from day one.

This is not consulting followed by an RFP. The 90-day pilot recommendation in your assessment deliverable is a ready-to-activate deployment plan for CAIBots agents. Assessment fee credited in full.

1
Pilot Planning & Governance Design
14 days · Roadmap, ROI model, governance score, pilot plan
2
90-Day Pilot Deployment
Named agent · shadow mode · UAT · go-live · assessment fee credited
3
Scale Across the Enterprise
Additional agents deployed · ALR grows · capacity multiplies
Compliance & Risk
KYCGuard
AML Investigator
AuditIntel
Regulatory Review Agent
SAR Drafting Agent
Operations
GL Reconciliation Agent
Loan Review Agent
Research Agent
Reporting Agent
Document Processing
Revenue & Growth
LightningLead
SDR Agent
Customer Success Agent
Proposal Generation
Platform Layer
OrchestratorCore
ModelRouter
RAGCore
AuditIntel
Your assessment identifies which agents deliver the highest ROI for your institution first — and the 90-day pilot plan to deploy them is included in every engagement.
Start with the Assessment ↗

Investment

Two Engagement Options.
Both Credited Against Deployment.

If you proceed to a CAIBots deployment within 60 days of delivery, the full assessment fee is credited against your contract.

Foundational
Pilot Planning & Governance Design
$7,500
Fixed fee · Fully remote · 14-day engagement
Enterprise AI Value Map — up to 20 use cases
3-Year Financial Impact Model — top 3 use cases
Governance Readiness Score vs. SR 11-7 / FFIEC
Agentic Workforce Analysis (ALR / ACI / EVA)
90-Day Pilot Roadmap — named agent + workflow + UAT
2-hour executive readout session
30-day follow-up review call
100% credited toward CAIBots deployment contract
Schedule Discovery Call ↗
Optional Add-Ons
Board Presentation Package+$1,500
Model Risk Documentation Review+$2,000
AI Vendor Spend Audit+$1,000
Travel & Lodging: The $7,500 engagement is fully remote. Travel and lodging are not included and, if required, are billed at actual cost with client approval in advance.  ·  Credit: 100% of the assessment fee is credited toward a CAIBots pilot initiated within 60 days of delivery.

The Path Forward

What Happens After the Assessment?

From first call to deployed AI agents — a clear, structured path with no ambiguity about what comes next.

Week 1
Discovery
Leadership intake call (CEO / COO / CRO)
Process documentation and AI vendor inventory
Workflow timing benchmarks collected
Regulatory exam history reviewed
Week 2
Assessment Delivered
Enterprise AI Value Map — 20–30 use cases scored
3-Year Financial Impact Model transferred
Governance Readiness Score + gap register
2-hour executive readout session
Week 3
Pilot Selected
90-Day Pilot Roadmap reviewed with leadership
Named agent and workflow confirmed
UAT scenarios and pass/fail criteria agreed
Assessment fee credited to pilot contract
Week 4
CAIBots Deployment Begins
Agent configured and integrated into your systems
Shadow mode activated — parallel run begins
Governance controls and audit trail live
No-penalty exit available at Day 30 and Day 60

Why CAIBots

Uniquely Qualified to Deliver
This Engagement

“I built the governance architecture because I had watched $100M+ deals fail at model risk review. I knew the failure mode from the outside before I built the fix from the inside.”
Kishor Akshinthala
Co-Founder & CEO, CAIBots  ·  IIM Mumbai MBA  ·  Columbia EDP
27
Years in financial services, incl. 19 at TCS
$8B+
Enterprise TCV closed
36
Pre-built governed AI agents
Regulated Industry Focus
Purpose-built for banks, credit unions, insurers, and capital markets firms — not retrofitted from a horizontal AI platform
Proprietary AI ROI Framework
ALR, ACI, EVA — named, published metrics that give executives a board-level language for AI value that most firms don’t have
Assessment to Execution
We don’t hand off to a systems integrator. Assessment fee credited toward CAIBots deployment — same team, same governance, no handoff risk

Our Commitment
If we cannot identify at least three measurable AI opportunities in your organization, we will continue working at no additional charge until we do.
That is not a marketing statement. It is a reflection of confidence in the methodology — and the fact that in regulated enterprises, the opportunities are always there. The question is always prioritization and governance readiness, not existence.
Start With a Discovery

Don’t hire more people until you know which work should be performed by AI agents.

Book a 30-minute discovery call. We’ll confirm your organization is a fit for the assessment — and if not, point you to a better starting point. No pressure, no obligation.

Princeton, NJ  ·  contact@caibots.com  ·  +1 (609) 721-2815  ·  Lead time: 2–3 weeks  ·  4 engagements per month