A long-term growth partner in India. We make your business AI-native and share the targets with you: more revenue, lower cost, higher enterprise value and less risk.
Start with a 2–4 week, fixed-fee Clarity Diagnostic.
How the four areas add up to growth
Illustrative chart. Starting from a baseline, gains in revenue, efficiency, enterprise value and risk mitigation add up to a higher target. The AI-native view shows a larger gain in each area than the AI-enabled view.
AI-native: the work is redesigned around AI, so every area gains more.
AI-enabled: AI tools are added to existing processes, so the gains stay small.
Illustrative. Not based on client data.
Situation
Worldwide AI spending will reach $2.7 trillion in 2026, up 49.5% on 2025 (Gartner). 40% of large companies now scale AI agents, up from 27% a year earlier (McKinsey).
Complication
Only 37% of companies see any effect on profit (EBIT) from AI. Gartner expects over 40% of agentic AI projects to be cancelled by the end of 2027. Most companies lack the capability to turn AI into results.
Resolution
Vrozart Global runs AI-native Growth Capability Centres in India, starting with Mohali. Small pods of specialists and AI agents work with you as a long-term partner on four shared outcomes.
Next step
A 2–4 week, fixed-fee Clarity Diagnostic sets the baseline, the shared targets and the partnership model.
Book the diagnosticWe agree the outcomes with you, then deliver them together. Every service, plan and report is tied to at least one of them.
More customers, larger deals and new markets.
Functions we cover
Example KPIs
Pipeline, customer acquisition cost, conversion, lifetime value
Lower cost to serve and faster cycles with AI agents.
Functions we cover
Example KPIs
Cost to serve, cycle time, hours saved
Better margins, owned IP and data, and investor-ready numbers.
Functions we cover
Example KPIs
Gross margin, revenue quality, IP created
Governed AI, secure systems and steady operations.
Functions we cover
Example KPIs
Audit findings closed, uptime, vendor count
AI-native work can start small. Each step builds on the one before, with the same baseline and shared targets.
| Level | Step 1Outcome | Step 2Role | Step 3Function | Step 4Enterprise |
|---|---|---|---|---|
| What becomes AI-native | One measurable result | The daily work of one role | A whole function | The whole company |
| Example | Close the books in fewer days | A sales executive’s quotes and follow-ups | Finance: month-end close, forecasts and controls | Pods working across all four outcomes |
| Who leads it | The outcome owner | The role holder and their manager | The VP or function head | The CEO or owner, with our Engagement Director |
| How we work with you | Clarity Diagnostic | Capability pod | Capability pod or managed capability centre | Managed capability centre, or build, operate, transfer |
AI agents take the routine steps. People check, approve and decide at the points that need judgement.
Trigger: a customer emails to ask for a quote.
AI is designed into the work from the start, rather than added to an old process. That is what moves results.
AI tools added to the old way of working
Starting point
Today’s process, with AI tools added
Routine work
Done by people, with help from AI
Team shape
Grows as volume grows
Controls
Added after launch
Improvement
Through occasional projects
The work redesigned around AI
Starting point
The outcome you want, with the work redesigned around it
Routine work
Done by AI agents, reviewed by people
Team shape
Small teams supported by agents
Controls
Built into each workflow from the start
Improvement
Continuous, using data from every cycle
Small, senior pods of specialists work with AI agents from our centres. Mohali is the first; more tier-2 cities are planned. One Engagement Director is accountable for your results.
Punjab
Bihar
Tamil Nadu
Himachal Pradesh
Rajasthan
Madhya Pradesh
25+
years of growth leadership
10+
countries served
200+
AI use cases delivered
15
sectors
We mainly work with companies whose core business is not technology. Each group has a clear growth need.
India capability without building their own centre
Priority outcomes
Faster growth and investor-ready numbers
Priority outcomes
Market entry and dependable local execution
Priority outcomes
Market entry in Africa, the Middle East and Europe
Priority outcomes
Dependable delivery of large programmes
Priority outcomes
It sets your baseline, shared targets and partnership model. You can begin with one outcome and grow from there.
Week 1
We agree what you want to achieve, why it matters and by when.
Weeks 1–3
Specialists assess every growth lever and set the KPI baseline.
Week 4
Clear priorities, owners, shared targets and a partnership model.
Tell us where you want to grow. We will show where an AI-native approach would change the result.
Or email prg@vrozart.com
Home / What we deliver
We agree the baseline and the target for each outcome first. Every service we offer moves at least one of them.
More customers, larger deals and new markets.
Functions we cover
Outcomes we deliver
Services
How AI-native changes the work
AI agents research accounts, draft personalised outreach and flag deals at risk every day. Your teams spend more of their time with customers.
Example KPIs
Pipeline, customer acquisition cost, conversion, lifetime value
Lower cost to serve and faster cycles with AI agents.
Functions we cover
Outcomes we deliver
Services
How AI-native changes the work
We redesign the process first. Agents then run the routine steps, and people handle exceptions and decisions. Before launch, we agree where the freed time goes: more output, new work or lower cost.
Example KPIs
Cost to serve, cycle time, hours saved
Better margins, owned IP and data, and investor-ready numbers.
Functions we cover
Outcomes we deliver
Services
How AI-native changes the work
Buyers and investors increasingly ask about data assets, AI readiness and how repeatable your operations are. We help you build these and present them clearly.
Example KPIs
Gross margin, revenue quality, IP created
Governed AI, secure systems and steady operations.
Functions we cover
Outcomes we deliver
Services
How AI-native changes the work
We build controls into AI workflows from the start: what agents may do, what they can access, who reviews their work and when issues escalate.
Example KPIs
Audit findings closed, uptime, vendor count
You bring the challenge. We agree how to measure progress before work starts.
| Client challenge | Outcome | What we measure |
|---|---|---|
| Flat pipeline in new markets | Revenue | Qualified pipeline, customer acquisition cost |
| Cost to serve keeps rising | Efficiency | Cost per transaction, cycle time |
| Getting ready to raise or sell | Enterprise value | Gross margin, data room readiness |
| Teams use AI with no rules | Risk mitigation | AI policy coverage, audit findings |
| New product ideas never ship | Revenue, enterprise value | Prototypes tested, time to launch |
AI-native work can start small. Each step builds on the one before, with the same baseline and shared targets.
| Level | Step 1Outcome | Step 2Role | Step 3Function | Step 4Enterprise |
|---|---|---|---|---|
| What becomes AI-native | One measurable result | The daily work of one role | A whole function | The whole company |
| Example | Close the books in fewer days | A sales executive’s quotes and follow-ups | Finance: month-end close, forecasts and controls | Pods working across all four outcomes |
| Who leads it | The outcome owner | The role holder and their manager | The VP or function head | The CEO or owner, with our Engagement Director |
| How we work with you | Clarity Diagnostic | Capability pod | Capability pod or managed capability centre | Managed capability centre, or build, operate, transfer |
At the function level, these are the areas we most often make AI-native. We also cover others.
Marketing
Finance
Sales
Customer service
Operations
Supply chain
Procurement
HR
Risk and compliance
We can advise your team, build with it or run the work for you.
It sets your baseline, shared targets and partnership model. You can begin with one function or one outcome and expand once results are in.
Or email prg@vrozart.com
Home / How we work
We agree the outcome, redesign the work around it and keep a person in the loop on every workflow. One accountable team runs it with you.
Every engagement follows the same three steps.
You choose the result: more revenue, lower cost, higher enterprise value or less risk. We set the baseline and the target with you.
We decide which steps AI agents handle, which steps people own, and which controls are needed.
Leading platforms, innovative startups or your own build: your choice. We make it work.
You may have an IT team, but it supports the business rather than defining it. We work alongside your team and train it to run what we build.
Agents handle the routine steps. People review, decide and stay accountable.
A new order, an invoice, a customer email or the end of the month.
Agents gather the data, draft the work and flag anything unusual.
Someone with the right authority reviews, approves or changes it.
Agents complete the approved action and record every step.
Each run is tracked against the agreed baseline and target.
Controls run through every step: what agents may do, what they can access, who reviews their work and when issues escalate.
AI agentPerson
AI agents take the routine steps. People check, approve and decide at the points that need judgement.
Trigger: a customer emails to ask for a quote.
Each stage answers one question and produces a shared result. Evolution feeds the next round of Clarity, so targets rise as results come in.
What do we want to achieve, why, and by when?
Output
Agreed goals, priorities and purpose
Shared result
Baseline for every KPI
How will we win, and which levers will we use?
Output
Growth strategy and chosen levers
Shared result
Outcomes we share
What will we build, who owns it, by when?
Output
Roadmap, pod design and KPIs
Shared result
Targets and partnership agreement
How do we deliver it, week after week?
Output
AI-native pods at work
Shared result
Monthly KPI review
What works, and what should scale next?
Output
Quarterly review and next cycle
Shared result
Results shared and targets raised
A dedicated pod works on each outcome, supported by three shared teams.
Sets priorities and approves the plan
One senior lead, accountable for outcomes
Growth, sales and marketing
Agents, automation and engineering
Strategy, finance, brand and IP
Governance, security and continuity
Shared teams that support every pod
Tested agents and playbooks
Prototypes, custom agents and owned IP
Plans, reporting and delivery quality
Weekly
Progress, blockers and decisions
Monthly
KPIs against shared targets
Quarterly
Results, priorities and the next cycle
So it moves faster and costs less than a traditional delivery team.
| What changes | Traditional team | Vrozart Global AI-native pod |
|---|---|---|
| Volume work | Done by people, step by step | Done by AI agents, checked by specialists |
| Team shape | Large pyramid of junior staff | Small, senior pod |
| Success measure | Tasks and deliverables completed | Shared outcomes achieved |
| Reuse | Starts fresh on each project | Tested agents and playbooks from our AI Centre of Excellence |
| Change | Scope fixed for the year | Re-planned every quarter |
| Location cost | Tier-1 city rates | Tier-2 centres, starting with Mohali |
Many companies now skip software purchases because they can build with AI. Our lab makes that call with evidence.
Test a new product or AI idea with real users before committing the full budget.
Use AI coding agents to build tools you would otherwise license.
Agents built for your workflows, data and rules.
Turn processes and data into assets on your balance sheet.
Work with universities and research partners near our centres.
Code, models, playbooks and IP belong to you.
It sets your baseline, shared targets and partnership model. You can begin with one function or one outcome and expand once results are in.
Or email prg@vrozart.com
Home / AI by role
AI agents do the routine work. People make the decisions. Here is what a working day looks like for four roles, and the outcome each task moves.
Agents handle the routine steps. People review, decide and stay accountable. The same pattern runs through every task on this page.
A new order, an invoice, a customer email or the end of the month.
Agents gather the data, draft the work and flag anything unusual.
Someone with the right authority reviews, approves or changes it.
Agents complete the approved action and record every step.
Each run is tracked against the agreed baseline and target.
Controls run through every step: what agents may do, what they can access, who reviews their work and when issues escalate.
Cares about direction, growth, cash and risk
Less time chasing numbers. More time on the decisions only you can make.
Every morning
AI agent
Pulls sales, cash, orders and pipeline from your systems, and writes a one-page brief that flags anything off plan.
You
Read the flagged items, ask follow-up questions and give each one an owner.
Risk mitigation
Earlier detection of problems
When a major choice comes up
AI agent
Models the options, such as a price change or a new market, and lists the assumptions and risks behind each one.
You
Choose the option, set the target and decide how success will be measured.
Revenue
Faster entry into new markets
Every month
AI agent
Drafts the board pack from current numbers and tracks progress on last month’s decisions.
You
Shape the message, correct anything that is wrong and approve it.
Enterprise value
Faster due diligence with fewer issues
Cares about function targets, budgets and team performance
Your function runs on current numbers, and your team spends less time building reports.
Every week
AI agent
Compares results with targets, explains the biggest gaps and drafts actions to close them.
You
Agree the actions and owners with your team.
Efficiency
Shorter cycle times
Every month
AI agent
Builds the forecast from orders, pipeline and costs, and flags risks to the plan.
You
Adjust the assumptions and sign off the plan.
Enterprise value
More predictable, recurring revenue
Every quarter
AI agent
Shows where time and cost go in your team’s processes, and which steps agents could run.
You
Choose which processes to redesign first and set the targets.
Efficiency
Lower cost per transaction
Cares about team output, quality, deadlines and customers
Routine work goes to agents. You spend your time on people, quality and customers.
Every day
AI agent
Sorts incoming work by priority and sends routine items to agents.
You
Assign complex work to your team and handle escalations.
Efficiency
More output from the same team
As work is completed
AI agent
Checks finished work, such as invoices, reports or customer replies, against your standards and flags errors.
You
Review the flagged items and coach the team on repeat issues.
Efficiency
Fewer errors and less rework
When a customer complains
AI agent
Pulls the customer’s history, finds the likely cause and drafts a reply and a fix.
You
Approve the reply, call the customer if needed and decide on the fix.
Revenue
Lower customer churn
Cares about getting daily work done well and on time
Agents take the repetitive steps. You focus on customers and the cases that need judgement.
Every day
AI agent
Drafts follow-up emails and quotes from your customer records and past conversations.
You
Check, personalise and send them.
Revenue
Higher win rates
As documents arrive
AI agent
Reads invoices, orders or forms, enters the data and matches it to your records.
You
Handle the exceptions it flags.
Efficiency
Lower cost per transaction
Before anything goes out
AI agent
Checks documents and messages against company policy and regulations, and lists what to fix.
You
Make the fixes before sending.
Risk mitigation
Fewer compliance gaps and audit findings
Tell us your roles and the outcomes you want. We will show which steps agents can take over and where your people stay in charge.
Or email prg@vrozart.com
Home / Our centres
Mohali is our first centre. We are opening more in tier-2 cities, close to strong talent and at lower cost.
We open centres in tier-2 cities, close to strong talent and at lower cost, as client demand grows.
Punjab
Bihar
Tamil Nadu
Himachal Pradesh
Rajasthan
Madhya Pradesh
More cities will follow as client demand grows.
Three ways to build growth capability in India, compared.
| What you get | Typical vendor | Your own captive centre | Vrozart Global partnership |
|---|---|---|---|
| Relationship | Contract by contract | Employer | Long-term partner with shared targets |
| Team | Large, rotating staff | Large, slow to hire | Small pods plus AI agents |
| Use of AI | Added on top | Depends on who you hire | Built into every workflow |
| Scope | One function | Functions you staff | Strategy, technology, AI, R&D and growth |
| Who owns results | Nobody end to end | Your managers | One Engagement Director |
| Know-how and IP | Vendor keeps it | You | You, with transfer when ready |
| Time to start | Weeks | Months to set up | 2–4 week diagnostic |
Strong talent, lower cost and room to grow.
Tier-2 cities run at an estimated 20–30% lower full cost than tier-1 cities.
Attrition is up to 30% lower in tier-2 locations (CBRE).
India’s Union Budget 2025–26 set up a national framework to grow capability centres in tier-2 cities.
Each new centre adds capacity, and working hours overlap with the Middle East, Africa and Europe.
Mohali is in the Chandigarh tricity region in Punjab.
Nearby institutions include:
Chandigarh International Airport is in Mohali.
Each new centre follows the Mohali set-up: small pods, AI agents, shared teams and one accountable Engagement Director.
The market our centres work in, with the latest figures.
2,117
capability centres in India in FY2026, up from 1,700+ in FY2024
$98.4B
revenue in FY2026, up from $64.6B in FY2024
2.36M
people employed, up from 1.9M
~40%
of centres positioned as innovation hubs in FY2025, up from 18% in FY2013
Over 90% of top centres set up or grew an AI centre of excellence in 18 months (BCG).
Attrition is up to 30% lower (CBRE), and full cost an estimated 20–30% lower than in tier-1 cities.
Mid-size companies can now get the same capability through a partner, without building a centre themselves.
Sources: Zinnov–Nasscom India GCC Landscape 2026; BCG; CBRE.
Build, operate, transfer runs in four steps. We can also run a managed capability centre for you, or redesign an existing one around AI agents.
Location, legal entity, operating model and AI architecture.
Hiring, technology of your choice, agents and controls.
We run the centre and report on the agreed outcomes.
People, systems and IP move to you when you are ready.
It sets your baseline, shared targets and partnership model. You can begin with one function or one outcome and expand once results are in.
Or email prg@vrozart.com
Home / Partnership
Choose how deep the partnership goes and how we are paid. Every model links our fee to agreed outcomes.
We size the pods to your priorities and share the targets with you.
Clients start with a fixed-fee diagnostic and can grow into a full Growth Capability Centre.
| Way to engage | What it is | Best for | How we share results |
|---|---|---|---|
| Clarity Diagnostic | A 2–4 week review and growth roadmap | First engagements | Fixed fee |
| Fractional leadership | A part-time CMO, CTO or CFO | Startups and scale-ups | Retainer plus outcome bonus |
| Capability pod | A dedicated team on one outcome | Ongoing growth programmes | Model A or C |
| Managed capability centre | Pods across several outcomes | Global mid-market companies | Model A plus B |
| Build, operate, transfer | We build and run your centre, then hand it over | Building your own India centre | Outcome fees, then a one-time transfer fee |
Each model links our fee to the results we agree with you.
Model A
A base fee for the pod, plus a bonus paid only when shared targets are met.
Best when
The baseline is still being proven
Our fee is set by
Pod size and agreed targets
Model B
We share in the savings or new margin we create together, measured against the baseline.
Best when
Data is trusted and measurable
Our fee is set by
An agreed share of the measured gain
Model C
A fixed monthly price with agreed KPIs.
Best when
Output is easy to count
Our fee is set by
An agreed price per month
Each has a clear growth need and priority outcomes.
| Client | What they need | Priority outcomes |
|---|---|---|
| Global mid-market companies | India capability without building their own centre | Efficiency, revenue |
| PE- and VC-backed scale-ups | Faster growth and investor-ready numbers | Revenue, enterprise value |
| Enterprises expanding into India | Market entry and dependable local execution | Revenue, risk mitigation |
| Indian companies going global | Market entry in Africa, the Middle East and Europe | Revenue, enterprise value |
| Public sector and large institutions | Dependable delivery of large programmes | Efficiency, risk mitigation |
25+
years of growth leadership
10+
countries served
200+
AI use cases delivered
15
sectors
It sets your baseline, shared targets and partnership model. You can begin with one function or one outcome and expand once results are in.
Or email prg@vrozart.com
Home / Insights
Research and points of view for leaders of companies whose core business is not technology. Everything is on this page.
Select a shift to see the data behind it and what it means for your business.
Shift 1 of 4
$2.7T
Worldwide AI spending in 2026, up 49.5% on 2025. Gartner sees a $1.2 trillion AI services opportunity by 2030.
Companies scaling AI agents, % of respondents
So what: Mid-size companies need a partner that gives them the agent capability large firms are building in-house.
Source: Gartner (September 2026); McKinsey, The state of AI in 2026.
Shift 2 of 4
Reported impact of AI, % of respondents, 2026
Warning signs
40%+
of agentic AI projects will be cancelled by the end of 2027, because of high costs, unclear value or weak risk controls (Gartner).
1 in 5
companies already limit AI use because of running costs (McKinsey).
So what: Results come from how the work is set up, not from which AI tool a company buys.
Source: McKinsey, The state of AI in 2026; Gartner.
Shift 3 of 4
| Practice | AI leaders compared with other companies |
|---|---|
| Redesign workflows around AI | Nearly 3 in 4, compared with about 1 in 4 |
| Aim AI at growth and innovation as well as cost | Most leaders; others focus on efficiency |
| Plan to change the business within three years | 3.3 times more likely |
| Senior leaders own AI and measure its impact | 2 times more likely |
| Scale AI agents in most business functions | Over 3 times more likely |
| Actively manage AI risks, such as unintended actions | Much more likely |
So what: Vrozart Global builds these practices into every partnership by default.
Source: McKinsey, The state of AI in 2026.
Shift 4 of 4
2,117
capability centres in India in FY2026, up from 1,700+ in FY2024
$98.4B
revenue in FY2026, up from $64.6B in FY2024
2.36M
people employed, up from 1.9M
~40%
of centres positioned as innovation hubs in FY2025, up from 18% in FY2013
So what: Mid-size companies can now get this capability through a partner, without building a centre.
Source: Zinnov–Nasscom India GCC Landscape 2026.
Six findings, each with what it means for your business.
3 in 4
Nearly 3 in 4 AI high performers have substantially redesigned their workflows, compared with about 1 in 4 other companies.
Start with how the work is done, then add AI agents. Buying a tool first rarely moves profit.
Source: McKinsey, The state of AI in 2026
8–10 to 4–6
One product development function moved from pods of 8–10 people to hybrid teams of 4–6 supported by agents.
Grow capacity by adding agents, and keep a small, senior team accountable for results.
Source: McKinsey Quarterly, October 2026
11%
Only 11% of organisations have reached the stage where AI changes how work gets done and how value is created.
Most of your competitors have not done this yet, so there is still room to lead.
Source: McKinsey Quarterly, October 2026
70% vs 27%
70% of people say they are ready for AI, but only 27% of leaders say their organisation is ready.
The limit is how the organisation is set up. Redesign roles, approvals and controls alongside training.
Source: McKinsey Quarterly, October 2026
40%+
Gartner expects over 40% of agentic AI projects to be cancelled by the end of 2027, because of rising costs, unclear business value or weak risk controls.
Agree the outcome, the baseline and the controls before you build an agent.
Source: Gartner, June 2025
4 choices
Time saved by AI can go to more output, new work, better workloads or lower cost. Choosing early is what turns time saved into results.
Agree how freed capacity will be used before launch, and measure it.
Source: McKinsey Quarterly, October 2026
It sets your baseline, shared targets and partnership model. You can begin with one function or one outcome and expand once results are in.
Or email prg@vrozart.com
Home / Contact
It sets your baseline, shared targets and partnership model. Talk to us to begin.
Three steps over two to four weeks.
Week 1
We agree what you want to achieve, why it matters and by when.
Weeks 1–3
Specialists assess every growth lever and set the KPI baseline.
Week 4
Clear priorities, owners, shared targets and a partnership model.
Tell us a little about your business and we will get back to you.
Partnership and Growth Leader
prg@vrozart.com
Mohali, Punjab, India
