Expertise for the Next Era of Financial Services
FinNavis combines financial-markets experience with AI, data, governance, technology and transformation expertise to help institutions navigate complexity and move from strategy to implementation.
AI Strategy, Governance, Implementation & Readiness.
AI Strategy & Enterprise Roadmap
From AI experimentation to enterprise strategy.
We convert scattered AI enthusiasm into a governed enterprise roadmap with clear priorities, ownership, economics, and execution pathways.
Most financial institutions have no shortage of AI ideas. They have a shortage of enterprise decisions — which initiatives are funded, who owns them, what they are worth, and how they connect to a coherent target state.
We work with executive leadership to define a North Star, inventory and prioritize use cases by value and feasibility, and sequence an investment roadmap aligned to regulatory, risk, and operating-model realities.
- →Enterprise AI strategy & roadmap
- →Prioritized use-case portfolio with business cases
- →Target-state architecture
- →Operating-model & governance recommendations
- →Executive decision materials
- →Clear investment priorities and ownership
- →Defensible AI economics
- →Executive alignment on sequencing
- →A roadmap the institution can actually execute
AI Governance, Risk & Responsible AI
Innovation without control is unmanaged risk.
We build the governance, model-risk, and control architecture that lets financial institutions scale AI with confidence and regulatory credibility.
Regulators expect financial institutions to govern AI with the same rigor as any model or material risk. Most firms have pockets of policy but no operating control system.
We embed responsible AI into governance, model risk, and accountability — not as philosophy, but as an operating control architecture with inventory, controls, oversight, and auditability.
- →AI governance framework & policy
- →AI/model inventory & risk tiering
- →Control architecture & human oversight model
- →Regulatory readiness assessment
- →Vendor & third-party AI risk approach
- →Defensible governance regulators can understand
- →Innovation that scales without surprise risk
- →Clear accountability and oversight
- →Auditability across the AI estate
AI Implementation & Agentic Transformation
From strategy deck to production workflow.
We design and deliver generative and agentic AI solutions — copilots, agents, and workflow automation — under controlled pilots and production deployment.
Proofs of concept proliferate; production deployments rarely follow. The gap is rarely the model — it is integration, controls, change, and operating discipline.
We move from controlled pilots to production with implementation governance, human oversight, and adoption built in — so the workflow survives contact with the real institution.
- →Production AI copilots & agents
- →Redesigned workflows with controls
- →Integration architecture
- →Adoption & change program
- →Scale-out playbook
- →Live, governed AI in production
- →Measurable productivity and quality gains
- →Adoption beyond the pilot team
- →A repeatable path from pilot to scale
Data Strategy & AI Readiness
AI is the engine. Data is the fuel.
We assess and architect the data foundations that determine whether AI compounds value — or amplifies the institution's existing fragmentation.
Sophisticated AI cannot outperform weak data foundations. Fragmentation, inconsistent quality, poor lineage, and unclear ownership cap the ceiling on every AI initiative.
We treat the data estate as sovereign capital — architecting the governance, quality, lineage, and platforms that turn fragmented data into compounding, AI-ready assets.
- →Data readiness assessment
- →Data governance & operating model
- →AI-ready data architecture
- →Knowledge & metadata strategy
- →Cloud & platform roadmap
- →AI built on trustworthy data
- →Faster, cheaper AI delivery
- →Clear data ownership
- →A foundation that compounds
AI Readiness Assessment
Assess your readiness across data, governance, technology and people.
A structured assessment of the foundations AI depends on — with maturity scoring and priority actions across business, data, technology, governance, and risk dimensions.
Expertise across financial services
Financial-Services Technology Modernization
Modernize the architecture intelligent financial services run on.
We modernize the capital-markets, data, and enterprise platforms that AI depends on — front-to-back, cloud, and legacy — under transformation governance.
Capital Markets & Investment Banking
Front-to-back intelligence for the trading institution.
We serve capital-markets institutions across trading, post-trade, clearing, settlement, risk, treasury, and regulatory reporting — embedding AI where it compresses latency, improves control, and protects the franchise.
Asset Management
Research, operations, and intelligence for the asset manager.
We help asset managers strengthen investment research, portfolio intelligence, client reporting, and operations — turning the firm's data into a durable research and efficiency advantage.
Wealth Management & RIAs
Advisor productivity and client intelligence at scale.
We help wealth managers and RIAs lift advisor productivity, personalize at scale, and modernize onboarding and service — without losing the human relationship at the center of advice.
Private Equity, Private Credit & Alternatives
Diligence, monitoring, and intelligence for private markets.
We help private-markets firms accelerate diligence, underwriting, and portfolio monitoring — turning unstructured documents and portfolio data into investment-committee intelligence.
Broker-Dealers
Supervision, controls, and operations for the broker-dealer.
We help broker-dealers strengthen supervision, surveillance, and regulatory controls while modernizing the operations and data that underpin them.
Banking
Operations, risk, and service for the modern bank.
We help banks modernize operations, manage risk, and lift workforce productivity — embedding AI in lending, service, fraud, and document workflows under governance.
Insurance
Underwriting, claims, and analytics for the insurer.
We help insurers embed AI in underwriting, claims, and service operations — turning unstructured data into priced certainty under governance.
Advisory for enterprise transformation
Advisory Overview
FinNavis combines financial-markets experience with AI, data, governance, technology and transformation expertise to help institutions navigate complexity and move from strategy to implementation.
Executive Advisory & Transformation Leadership
Independent guidance for leaders turning AI ambition into enterprise reality.
We advise CIOs, CTOs, CAIOs, CDOs, COOs and boards on AI operating model, transformation leadership, and independent decision support.
- →Executive advisory & briefings
- →AI operating-model design
- →Steering-committee support
- →Independent vendor evaluation
- →Decision-support materials
- →Better-informed executive decisions
- →An operating model that fits the institution
- →Independent challenge on vendors & plans
- →Confidence at board and leadership level
Practitioners who understand the institution and the technology.
Param Kapoor
Founder & CEO
A financial-markets practitioner who understands both the institutional realities of regulated financial services and the strategic possibilities of enterprise AI.
Param Kapoor brings more than two decades of financial-services experience across capital markets, investment banking, broker-dealers, asset and wealth management, alternative investments, enterprise technology, data, and transformation.
His experience spans front-to-back financial-markets operations including trading, clearing, settlement, risk, treasury, operations, enterprise platforms, data, technology modernization, and program transformation.
Leadership experience includes work with the organizations above. Listing is not an endorsement, client relationship, or current affiliation.
Leadership brings 20+ years of experience across leading global financial institutions. Executive education includes AI strategy, leadership, product & services innovation, and AI for business through MIT and Wharton. Specific degrees are not implied.
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Sweta Kapoor
Co-Founder & COO
Co-Founder & COO focused on strategic business involvement, client experience, firm growth, and the operating discipline of FinNavis as a trusted boutique advisory platform.
Sweta Kapoor is Co-Founder & COO of FinNavis, focused on the strategic business development, client experience, and operating discipline of the firm.
Her role centers on firm growth, operating discipline, and the long-term development of FinNavis as a trusted boutique advisory platform — with a commitment to building the institutional standards the firm is built on.