Secure your business data with open-source AI
A free AI Operations Audit for service businesses — then real help choosing, installing and securing open-source models, so your data never has to leave your business to use AI.
30 minutes · No obligation · Normally ₹15,000–25,000, free for founding clients
Models We Deploy
Every AI tool you add is a door someone else holds the key to.
Most service businesses adopt AI through third-party APIs by default — without ever asking whether their data should be leaving the building at all.
Repetitive work nobody's watching
Reporting, follow-ups, data entry — the tasks quietly eating hours every week, usually routed through an API nobody has audited.
Client data leaving by default
Every prompt sent to a third-party API is data leaving your business. Most owners have never been shown the alternative.
No time to work out what's safe
You're too close to your own operation to map it, and too busy to research which models can run entirely on your own infrastructure.
The average cost of a data breach in India — and under the DPDP Act, penalties for failing to protect personal data run up to ₹250 crore on top of it.
Three phases. Three days. One clear recommendation.
Nothing gets recommended on gut feel — every opportunity is mapped, scored and estimated before it reaches you, including whether it belongs on an open-source model instead of an API.
Discovery Call
Day 1 · 30 minutes
A focused call to understand your day-to-day operations, your data sensitivity and the tools you already use. No prep required.
Mapping & Scoring
Days 1–3 · behind the scenes
Your 3–5 most time-consuming workflows get mapped end to end. Each opportunity is scored for frequency, time cost, AI fit and risk — including whether it should stay off third-party APIs entirely.
Delivery
Day 3 · roadmap in hand
An ROI estimate on your top 3 opportunities and one clear, ranked recommendation — including, where it matters, a specific open-source model suited to your data and hardware.
Your data, on your infrastructure — not someone else's API logs.
Open-weight models like Llama, Mistral, Qwen and DeepSeek now run competitively with commercial APIs for many business tasks — on hardware most mid-sized businesses can already afford.
What we actually help with
Choosing the right open-source model for your use case, data and hardware
Installing and configuring it — Ollama, LM Studio or a private-cloud setup, whichever fits
Securing it — access control, least-privilege permissions, audit logging
Sizing it correctly, so you're not overpaying for hardware you don't need
Why it matters right now
DPDP Act enforcement is ramping through 2026, with penalties up to ₹250 crore
Sector rules — RBI, IRDAI, SEBI — layer stricter data-handling duties on top
Local deployment swaps variable per-token API costs for predictable infrastructure spend
Your data simply never leaves your business to begin with
The case for acting this year.
Nothing here is a cold claim.
AgentEra is being built in public. Every method here — from process mapping to open-source model selection — is taught in daily content before it's ever used on a client. You can watch the actual thinking before you book a call, instead of taking a stranger's word for it.
Free for the first three founding clients.
After that, priced like any real audit — but you'll always know the number before you say yes.
AI Operations Audit
Normal rate ₹15,000–25,000
Free or token-priced for the first 3 founding clients this month, in exchange for a testimonial and permission to use the results as a case study.
Book Your Free AuditThe Guarantee
If you don't walk away with at least one opportunity worth more than the time spent on the call, tell me — and I'll make it right.
What's included
A process map of your core workflows
A bottleneck list, scored by the AI Opportunity Matrix
An ROI estimate on your top 3 opportunities
One clear, ranked recommendation — yours to keep either way
Whether each opportunity belongs on an open-source model, and why
The Opportunity Matrix template itself, reusable going forward
Questions worth asking
There's a guarantee attached and no obligation to work together afterwards. If the audit doesn't find something worth more than your 30 minutes, that's on me to fix, not on you to accept.
No — that's the point of the audit. You don't need to know Llama from Mistral going in. You need to know, afterwards, whether it matters for your business, and I'll tell you plainly if it doesn't.
Increasingly, yes. Open-weight models now run competitively with commercial APIs on hardware many mid-sized businesses already own or can afford. The audit tells you honestly whether you're one of them.
Then that's the recommendation you get. A ranked list where the top item is 'fix this process first' is a more useful outcome than a tool you'll abandon in a month.
That's the actual reason this exists — 30 minutes now, instead of losing hours every week, and possibly your data's safety, to something nobody has mapped yet.
Your data doesn't have to leave your business to use AI.
Thirty minutes is all it takes to find out how.
AI Operations Audit — Discovery Call
30 min · Pick a slot
AI Operations Audit — Discovery Call
30 min · Pick a slot below
Secure your business data with open-source AI
A free AI Operations Audit for service businesses — then real help choosing, installing and securing open-source models, so your data never has to leave your business to use AI.
30 minutes · No obligation · Normally ₹15,000–25,000, free for founding clients
Models We Deploy
Every AI tool you add is a door someone else holds the key to.
Most service businesses adopt AI through third-party APIs by default — without ever asking whether their data should be leaving the building at all.
Repetitive work nobody's watching
Reporting, follow-ups, data entry — the tasks quietly eating hours every week, usually routed through an API nobody has audited.
Client data leaving by default
Every prompt sent to a third-party API is data leaving your business. Most owners have never been shown the alternative.
No time to work out what's safe
You're too close to your own operation to map it, and too busy to research which models can run entirely on your own infrastructure.
The average cost of a data breach in India — and under the DPDP Act, penalties for failing to protect personal data run up to ₹250 crore on top of it.
Three phases. Three days. One clear recommendation.
Nothing gets recommended on gut feel — every opportunity is mapped, scored and estimated before it reaches you, including whether it belongs on an open-source model instead of an API.
Discovery Call
Day 1 · 30 minutes
A focused call to understand your day-to-day operations, your data sensitivity and the tools you already use. No prep required.
Mapping & Scoring
Days 1–3 · behind the scenes
Your 3–5 most time-consuming workflows get mapped end to end. Each opportunity is scored for frequency, time cost, AI fit and risk — including whether it should stay off third-party APIs entirely.
Delivery
Day 3 · roadmap in hand
An ROI estimate on your top 3 opportunities and one clear, ranked recommendation — including, where it matters, a specific open-source model suited to your data and hardware.
Your data, on your infrastructure — not someone else's API logs.
Open-weight models like Llama, Mistral, Qwen and DeepSeek now run competitively with commercial APIs for many business tasks — on hardware most mid-sized businesses can already afford.
What we actually help with
Choosing the right open-source model for your use case, data and hardware
Installing and configuring it — Ollama, LM Studio or a private-cloud setup, whichever fits
Securing it — access control, least-privilege permissions, audit logging
Sizing it correctly, so you're not overpaying for hardware you don't need
Why it matters right now
DPDP Act enforcement is ramping through 2026, with penalties up to ₹250 crore
Sector rules — RBI, IRDAI, SEBI — layer stricter data-handling duties on top
Local deployment swaps variable per-token API costs for predictable infrastructure spend
Your data simply never leaves your business to begin with
The case for acting this year.
Nothing here is a cold claim.
AgentEra is being built in public. Every method here — from process mapping to open-source model selection — is taught in daily content before it's ever used on a client. You can watch the actual thinking before you book a call, instead of taking a stranger's word for it.
Free for the first three founding clients.
After that, priced like any real audit — but you'll always know the number before you say yes.
AI Operations Audit
Normal rate ₹15,000–25,000
Free or token-priced for the first 3 founding clients this month, in exchange for a testimonial and permission to use the results as a case study.
Book Your Free AuditThe Guarantee
If you don't walk away with at least one opportunity worth more than the time spent on the call, tell me — and I'll make it right.
What's included
A process map of your core workflows
A bottleneck list, scored by the AI Opportunity Matrix
An ROI estimate on your top 3 opportunities
One clear, ranked recommendation — yours to keep either way
Whether each opportunity belongs on an open-source model, and why
The Opportunity Matrix template itself, reusable going forward
Questions worth asking
There's a guarantee attached and no obligation to work together afterwards. If the audit doesn't find something worth more than your 30 minutes, that's on me to fix, not on you to accept.
No — that's the point of the audit. You don't need to know Llama from Mistral going in. You need to know, afterwards, whether it matters for your business, and I'll tell you plainly if it doesn't.
Increasingly, yes. Open-weight models now run competitively with commercial APIs on hardware many mid-sized businesses already own or can afford. The audit tells you honestly whether you're one of them.
Then that's the recommendation you get. A ranked list where the top item is 'fix this process first' is a more useful outcome than a tool you'll abandon in a month.
That's the actual reason this exists — 30 minutes now, instead of losing hours every week, and possibly your data's safety, to something nobody has mapped yet.
Your data doesn't have to leave your business to use AI.
Thirty minutes is all it takes to find out how.
AI Operations Audit — Discovery Call
30 min · Pick a slot
AI Operations Audit — Discovery Call
30 min · Pick a slot below