AI Value Management

Prove what AI is worth. Then make it worth more.

Tavro is the AI value management platform. Prove what every AI use case, agent, and model returns, measured against the business process it serves. Then improve it: scale what works, fix what doesn’t, and retire what never will. Hands-on services put it to work from day one.

Free for 30 days, with a sample company already modeled. No need to upload your own data.

12%
of organizations consistently assess AI value against cost across the enterprise, even though 89% report measurable value. Tavro closes that gap.
No business linkage
Pilots never connect to a P&L outcome
Data unreadiness
Enterprise context is fragmented
Runaway TCO
Token and rework costs compound fast
Value never measured
Business cases aren’t revisited after launch
Serving
Banking Capital Markets Insurance Energy & Utilities Oil & Gas Life Sciences Higher Education

Most organizations see value from AI. Few can prove it.

89%
of organizations report measurable value from AI.
12%
consistently assess AI value against implementation cost across the whole organization.
48%
do so among organizations that already report an established AI ROI.
$210M
average planned AI investment over the next 12 months, up from $186M in Q1 2026.

Source: KPMG Global AI Pulse, Q3 2026, a survey of 2,131 senior business leaders across 20 countries, territories, and jurisdictions.

Built for the people accountable for AI value.

CFO
See the ROI and payback of every AI investment, with expected vs. realized value in one view.
COO
Know which processes AI is improving, measured in the KPIs you already run the business on.
Chief AI Officer
Prioritize, scale, or retire AI on evidence, with cost-to-value for every use case.
AI value office
Run portfolio reviews with business cases, realized value, and cost in one place.

Prove the value. Improve the return.

Value can only be proven against the business it changes. Tavro connects every AI asset to the process step it serves, through two foundation layers: your Business Context and your AI Estate. That connection lets you prove value, with expected value before you invest and realized value, cost, and risk in production, and then improve it, with the evidence to scale, fix, or retire every investment.

AI value management
Proving and improving the business value of every AI investment, from the business case to realized results, so AI is funded, scaled, fixed, or retired on evidence.
Plan
Size the value at stake and build the business case.
Apply
Place AI at the process step it is meant to change.
Prove
Measure realized value and cost in process KPIs.
Protect value
Keep guardrails, policies, and compliance in place.
Improve
Scale what works, fix what doesn’t, retire what won’t.
Applied
Measured

Select a layer to explore it

Business Context

The first foundation layer: a digital twin of your company, built around its business processes. Each process is mapped with its owners and KPIs, and linked to the strategy, applications, data, and risks around it, so every AI investment has a baseline to be measured against.

Process Maps
L1 to L4 processes with steps, owners, and KPIs, as they run today and as redesigned with AI.
Strategy & Objectives
The goals and priorities each process redesign has to serve.
Applications & Integrations
Systems of record, data flows, and the integrations that connect them.
Baselines & KPIs
The process KPIs each AI investment is measured against, with risks and policies attached.
🕸️
Value Tied to Processes
Every use case, agent, and model is tied to a process step, so value is measured where the work happens.
🧬
Lineage for Every AI Asset
Trace any use case, model, or agent to the data, processes, and controls it depends on and affects.
📊
A Portfolio View of AI Value
Expected and realized value, cost, and payback across every AI investment, in one place.
📈
Value You Can Prove
From business case to realized value, measured in time, cost, quality, and revenue.
Connects with
ServiceNowMicrosoft CoPilotEnterprise data sources via MCPMicrosoft Azure Marketplace

Services that prove and improve AI value.

Three engagements, one path from value case to value realized: find where AI pays off, plan the investment, then deliver it with value proven from day one. Every deliverable lives in the platform after the engagement ends.

01
AI Value Management Workshop
A hands-on working session that builds your AI value case: the processes and use cases that will create the most value, ranked by business value, data readiness and risk. You leave with a prioritized backlog your team can act on right away.
Prioritized use cases with expected value tied to the P&L
Agent concept with its business case
90-day AI value roadmap with named owners
Format: Half-day remote or full-day in person
02
AI Strategy & Roadmap
A full-scale engagement that maps your key processes, sizes the value of AI in each, identifies regulatory obligations, and produces a 12–18 month AI value roadmap with investment framing and governance foundations in place.
12–18 month AI value roadmap, process by process, with owners
Enterprise digital twin of your business context
Value baselines and KPIs per process
AI value operating model: owners, review cadence, portfolio reviews
Engagement: 6–10 weeks
03
Agent Factory
Put AI into production in 12 weeks, with value tracked from day one. Forward Deployed Engineers work alongside the Tavro AI Strategy & Adoption Platform to configure autonomous agentic workflows, establish system-of-record write-back, and enforce runtime data security as defined by your policies — fully integrated into the cloud, data, and AI platforms you already run.
Rapid production deployment: approved workflows to live agents in weeks, not quarters
Enterprise control plane: every agent registered in the Enterprise Agent Catalog with live token spend, performance metrics, and compliance audit history
Full platform access for the 12-week pod to track agent performance, model drift, and operational savings
Engagement: 12-week pod

How each engagement builds on the platform

01
AI Value Management Workshop
Business Context · AI Use Cases
Your processes are modeled in the twin, with a prioritized use case backlog and the expected value of each.
02
AI Strategy & Roadmap
Business Context · AI Estate
Risks, controls, and your AI estate mapped together, with a 12–18 month roadmap built on the same graph.
03
Agent Factory
AI Estate · AI Value Management
Agents go live with lineage and controls in place, and their value is tracked against the business case they were funded on.

Answers that build on each other.

Leaders ask different questions about AI at each stage of adoption. Tavro answers them on one connected platform, so every answer adds to the context behind the next.

Layer 1 · Foundation
Business Context
“Where will AI create the most value in our business?”
What Tavro does
Maps your processes and shows where AI would change them most, and what that is worth, live from the first engagement.
How
  • Maps processes from L1 to L4, with owners, KPIs, applications, and data
  • Attaches risks, policies, and regulatory obligations to each process
  • Links AI opportunities to the objectives and processes they would change
Layer 2 · Foundation
AI Estate
“What AI do we have, what does it cost, and what is it worth?”
What Tavro does
Keeps an inventory of every AI use case, model, and agent, with its lineage and what it costs to run.
How
  • Registers AI as it is built, and discovers shadow AI in third-party apps
  • Traces each asset to the data, applications, and tools it depends on
  • Attributes cost to every asset, along with the guardrails it inherits
Layer 3 · The outcome
AI Value Management
“Is our AI paying off, and can we prove it?”
What Tavro does
Proves the value of every AI investment against its business case, and shows where to improve the return.
How
  • Sets expected value up front, then tracks realized value, cost, and drift
  • Shows guardrails enforced and policies followed, with compliance evidence on demand
  • Gives leaders the evidence to scale, fix, or retire AI investments

Context that compounds. Every engagement adds to the same graph, so each new initiative starts further ahead than the last.

Value, proven.

Eleven engagements, each with its value measured against the business process it changed.

01Data Architecture & Data Strategy

Data mapping and guardrails for AI-driven clinical trials

Contract Clinical Trials Provider
ProcessClinical trial milestone-to-invoice
“What data do we actually have, where does it live, and how exposed is our sensitive data?”

Challenge. The provider needed to define the guardrails for an AI-driven pre-emptive milestone invoicing solution.

Solution. Tavro ingested context from applications, data models, processes, and financials, including Veeva eTMF.

$12.3M
3-year net benefit
Auditable, clause-level evidence for every billing decision and a faster milestone-to-invoice cycle, with lineage supporting ICH E6 GCP, FDA 21 CFR Part 11, HIPAA, and SOX.
02Application Portfolio & IT Cost Rationalization

Rationalizing IT applications using AI

Municipal Utility
ProcessCustomer Move-In/Move-Out, extended to application rationalization
“Which systems are redundant, end-of-life, or quietly running AI that we don't know about?”

Challenge. Applications and processes captured for an AI-driven Move-In/Move-Out redesign were extended to support application rationalization.

Solution. Tavro, integrated with Microsoft CoPilot, surfaced rationalization candidates and a work plan.

$5.2M
3-year net benefit
Plus $1.0M in immediate savings by reducing the cost of a Phase 0 consulting engagement.
03Strategic Planning & Business Architecture

Significant cost savings for an NCUA Phase 1 charter submission

De Novo Credit Union
ProcessCharter submission analysis
“How does our business actually work, end-to-end, and where are the gaps, redundancies, or risks in it?”

Challenge. The credit union needed to show it had enough information to justify its National Credit Union Administration Phase 1 submission.

Solution. Tavro's analysis justified the addressable membership pool.

$1.2M–$1.9M
Estimated savings vs. Big 4 consulting
$84K realized in the first two weeks.
04IT Service Management

ITSM agent that brings ServiceNow into Microsoft CoPilot

ProcessIT incident triage and after-hours escalation
“How do we use AI to improve the productivity of IT operations?”

Challenge. Incidents needed triage so support staff aren't paged in the middle of the night for non-critical issues.

Solution. A ServiceNow Now Assist agent integrated with the CMDB, Microsoft CoPilot, and Teams via the A2A protocol.

$580K
3-year net benefit
13 minutes saved per incident, and lower attrition from fewer off-hours calls.
05M&A & Due Diligence

Developing business development plans

Tavro on Tavro
ProcessBusiness development planning
“What does this company's technology and process landscape actually look like, before we sign?”

Challenge. Tavro needed to work through strategic questions on partnerships and go-to-market plans.

Solution. Tavro proposes business development approaches, and the outcomes feed back into its context.

$508K
3-year net benefit
Higher co-founder productivity and an expanded pipeline.
06Competitive & Industry Positioning

Market intelligence agent for weekly executive briefings

Industrial
ProcessWeekly competitive intelligence briefing
“How does our business compare to how this industry is typically structured, and where are we behind or ahead?”

Challenge. C-level and C-1 executives needed the weekly equivalent of a Presidential Daily Brief on competitors and market conditions.

Solution. Microsoft CoPilot and CoWork agents, triggered weekly.

$284K
3-year net benefit
15–20 analyst hours saved per week.
07Accelerate AI Adoption

AI use case prioritization across value, cost, and risk

Stablecoin Payment Rails Platform
ProcessAI investment prioritization
“Where should we actually be using AI, and how do we know it's paying off?”

Challenge. The company needed an AI strategy spanning multiple use cases.

Solution. Tavro scored each use case on effort, risk, and ROI to drive overall prioritization.

$276K
Savings vs. a Big 4 strategy engagement
Compared with an AI Strategy & Roadmap engagement from a Big 4 firm.
08Executive & Board Communication

Uncovering fundraising targets and running portfolio analysis

Tavro on Tavro
ProcessFundraising and portfolio analysis
“How do we tell a credible, evidence-based story about our AI investment to the board and investors?”

Challenge. Tavro's co-founders needed to address strategic questions while stretched for time.

Solution. Tavro answers fundraising and portfolio questions, and feeds results and decisions back into its context.

$140K
3-year benefit
60 hours of co-founder time saved up front and external advisors no longer needed, before counting more effective fundraising.
09Regulatory Compliance & Audit Readiness

Shadow AI discovery in ServiceNow CMDB to mitigate third-party risk

Enterprise
ProcessThird-party application risk review
“Can we prove, on demand, that our AI use complies with the regulations that apply to us?”

Challenge. Applications in the ServiceNow CMDB didn't indicate whether they had embedded AI, creating third-party risk.

Solution. Tavro agents run deep research to uncover applications with embedded AI.

$184K
3-year net benefit
3.5 hours saved per application.
10AI Risk & Responsible AI Governance

Federal Reserve SR 26-2 model risk management

Financial Services
ProcessAI model risk assessment
“What AI agents and models are actually running in our business, and how risky are they?”

Challenge. The institution needed automated risk management for its AI models to stand up to regulatory scrutiny.

Solution. Tavro applied to production AI models, such as Next Best Offer.

$63K
3-year net benefit per AI model
70 risk analyst hours saved per quarter for a single model's risk assessment.
11AI Literacy

Courses on AI governance and agentic AI governance

ProcessAI governance training
“How do we train our people on the most appropriate way to unleash the power of AI, responsibly?”

Challenge. Organizations were asking for training on AI governance and agentic AI governance.

Solution. Self-paced and instructor-led training from Tavro.

200+
Students trained

Latest insights from the field.

Field notes on redesigning business processes with AI, governing it, and proving the value.

View all posts →
Free book
AI Governance Overview
358 pages · 90 vendors · 90 controls · 25 case studies
Download PDF →
Free book
Agentic AI Governance
19 case studies · 11 agentic AI platforms
Download PDF →

Questions buyers ask us.

Short answers to the questions we hear most. Don’t see yours?

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What is Tavro?
Tavro is an AI value management platform that helps you prove and improve the value of AI. Two foundation layers make that possible: Business Context, a digital twin of your company with baselines, risks, and policies attached to each process, and the AI Estate, an inventory of your AI use cases, models, and agents with their lineage and cost drivers. Together they let you prove the expected and realized value, cost, and risk of every AI investment, and improve the return across your portfolio. Hands-on services put the platform to work from the first engagement.
What is AI value management?
It is the discipline of proving and improving the business value of every AI investment. It starts with a business case, ties each use case, agent, and model to the process it changes, tracks realized value and cost in that process’s KPIs, and gives leaders the evidence to scale, fix, or retire each investment.
How do you measure AI value?
We start with a baseline in the KPIs of the process AI will change, and record the expected value, cost, and payback in a business case before you invest. Once AI is live, Tavro tracks realized value against that baseline, along with cost, including token spend, and drift, and rolls it all up into a portfolio view.
What ROI or payback should we expect?
It depends on the process. Across our case studies, three-year net benefits range from $63K for automating one model’s risk assessments to $12.3M for a clinical trials provider, and a credit union realized $84K in its first two weeks. The AI Value Management Workshop sizes the expected value and payback for your own use cases before you commit.
How is this different from AI governance or cost-tracking tools?
Governance tools tell you whether AI is safe; cost-tracking tools tell you what it costs. Neither tells you what it is worth. Tavro connects all three, because each AI asset is tied to the business process it changes: value, cost, and risk are measured in the same place, against the same baseline.
Where do we start?
You can explore on your own with a free 30-day trial. Most clients then start with the AI Value Management Workshop, a half-day remote or full-day in-person session. You leave with the use cases that will create the most value, an expected-value business case for each, an agent concept with its business case, and a 90-day roadmap, all captured in the platform.
Is there a free trial?
Yes. You can try Tavro free for 30 days with a sample company that is already modeled, including processes, an AI estate, and outcomes, so there’s no need to upload your own data. Try Tavro.
How do your services relate to the platform?
Each engagement fills in a layer of the platform. The AI Value Management Workshop and the Strategy & Roadmap engagement build out your business context and AI use cases. The Agent Factory deploys agents into the AI Estate and tracks them against business outcomes. Everything we produce stays in the platform after the engagement ends.
How quickly can we get agents into production?
The Agent Factory takes approved workflows to live agents in a 12-week pod. Forward Deployed Engineers build on the cloud, data, and AI platforms you already run, and every agent goes live registered, governed, and monitored.
Which industries do you work with?
We focus on regulated industries, including banking, capital markets, insurance, energy and utilities, oil and gas, life sciences, healthcare, and higher education. The platform itself works for any organization adopting AI.
Can we deploy Tavro in our own environment?
Yes. Tavro can be hosted in your own private cloud for organizations with data residency requirements, or run as a fully Tavro-hosted SaaS service.
Does Tavro integrate with the tools we already use?
Yes. Tavro brings its catalog, risk scores, and lifecycle data into ServiceNow, and works with Microsoft CoPilot and enterprise data sources through MCP. AI assistants can query your AI estate in plain language, for example to find every agent that accesses customer PII.
How does Tavro handle security and compliance?
Tavro stores metadata about each AI asset, such as its owner, purpose, tools, data connections, and risk classification. It does not store runtime outputs, prompts, or conversation data. Risk assessments support EU AI Act risk tiers and OWASP AIVSS scoring, and regulatory mappings cover frameworks such as Federal Reserve SR 26-2, HIPAA, NERC CIP, FERPA, and NCUA. Tavro provides the tooling for compliance, not legal advice. See the Trust Center for more.

We make AI accountable to the business.

Tavro AI is an AI strategy and adoption company headquartered in Port St. Lucie, Florida. We were founded on a simple observation: enterprises aren't short on AI ideas. What they lack is a reliable way to tie each one to the business process it changes, govern it from the start, and prove the value it returns. So we built Tavro to prove and improve the value of AI: start from the process, measure what AI changes there, and give leaders the evidence to invest with confidence.

Our founders built and sold a data governance firm before starting Tavro. Along the way, they saw how much hard-won knowledge about a business gets rebuilt from scratch with every new initiative. Tavro pairs hands-on services with a platform that holds onto that context, so every engagement leaves behind governed, working agents and a model of the organization that keeps getting richer.

Port St. Lucie, FL
Headquarters
Prior exit
Founders scaled Information Asset to a private equity exit in 2023
11 case studies
Measured results across banking, utilities, life sciences, and more
8 industries
Focused on regulated sectors, from banking to higher education
13 books
Published by our leadership on data and AI governance
Azure Marketplace
Procure the platform and services with Azure credits
01
Outcomes over output
Every use case we recommend ties back to a measurable P&L result, not a page count.
02
Measured from day one
Every use case starts with a baseline and a business case, so value is tracked from the first release.
03
Context compounds
What we learn about your business stays in the platform and accelerates the next initiative.
04
Built on your stack
Tavro works with the platforms you already run, from ServiceNow to Microsoft CoPilot.

Built by practitioners, not theorists.

The founding team built and sold a data management firm, and brings decades of experience in finance, data, AI, and enterprise transformation.

Sunil Soares
Sunil Soares
Co-Founder & CEO
A Chartered Accountant with an MBA in Finance from Chicago Booth, who began as an auditor at PwC and a management consultant at Booz & Company. Founded and sold Information Asset, a data management firm, to private equity. Author of 13 books on data management and AI governance, including AI Governance Comprehensive and The Chief Data Officer Handbook for Data Governance.
Chartered Accountant (ICAI) MBA in Finance – Chicago Booth 13 Books on Data & AI
LinkedIn →
Sanjeev Varma
Sanjeev Varma
Co-Founder & CTO
Leads the engineering vision for Tavro’s platform, spanning AI value management, AI agents, and enterprise data. More than 30 years in digital transformation, data governance, and operational excellence, including as CEO of Information Asset and in senior leadership roles at NTT Data and Simeio.
30+ Years Experience CEO of Information Asset NTT Data · Simeio
LinkedIn →
Khushboo Shah
Khushboo Shah
Founding Team Member
Leads platform delivery, security, and SOC 2 compliance for Tavro’s enterprise AI governance platform, and drives operational excellence across the India team. Previously held leadership roles at YourDataConnect and Information Asset.
Platform Delivery Security & SOC 2 B.E. Computer Engineering
LinkedIn →

Advisory Board

Leaders from technology research, banking, and enterprise data who help shape Tavro’s direction.

Dr. Ambuj Goyal
Dr. Ambuj Goyal
Founder & Investor
Former CEO of Magine. Two decades at IBM, where he led Computer Science Research with more than 1,500 scientists and served as GM for Information Management & Analytics. Fellow of the IEEE and ACM.
LinkedIn →
Forrest Gilman
Forrest Gilman
Banking Executive
Former Chief Innovation Officer, then President & CEO, of Mode Eleven Bancorp and Summit National Bank. Founder and CFO of AccuShares; Managing Director at UBS and Deutsche Bank Securities.
LinkedIn →
Jay Como
Jay Como
Chief Data Officer
Led global data governance and digital-finance organizations at T. Rowe Price, Silicon Valley Bank, Barclays, and JPMorgan Chase. 2024 AIM Leadership Council honoree, named among the 100 most influential AI leaders in the USA.
LinkedIn →
Pierre Gomes
Pierre Gomes
Risk Management Executive, BankUnited
Known for data-driven risk frameworks and for using data analytics and cloud technologies to pioneer AI-driven financial products.
LinkedIn →
🛒 Microsoft Azure Marketplace

Procure Tavro with your Azure Credits.

The Tavro platform and services are available through Microsoft Azure Marketplace — making procurement straightforward for enterprises already in the Microsoft ecosystem.

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Start with a free trial.
Stay for the results.

Explore Tavro for 30 days with a sample company already modeled. When you’re ready, the AI Value Management Workshop gives your leadership team the use cases with the most value at stake, an agent concept with its business case, and a 90-day roadmap.