Deb Pramanik — 20+ years in global IT transformation, now deploying that pattern recognition across two active ventures: an AI Cloud PACS platform for diagnostic radiology, and a wealth advisory practice for long-game investors. Senior advisory still open — selectively.
37
Countries led
28+
Years in IT
81%
PACS accuracy
<5min
Report time
// The field agent belief
The people who transform industries are never the ones with the best frameworks. They are the ones who have made real decisions under real constraints — and lived with the consequences.
Entrepreneur · Builder · Advisor
Ex-Accenture VP · Ex-Capgemini Sr. Director · MIT
// Currently building
Active development — not advisory. These are decisions I am living with, not frameworks I am selling.
Venture 01 · Healthcare AI
LiveAI Cloud PACS Platform
Cloud-hosted AI Picture Archiving and Communication System for diagnostic radiology. Google Med-Gemma SLM on Azure. Purpose-built for India's diagnostic infrastructure — where radiologist capacity is the bottleneck, not imaging hardware.
Venture 01 · Next Module
In DevelopmentPredictive Modelling for Path Labs
India's path labs have penetrated deeper into diagnostic infrastructure than any other segment. Predictive modelling layered onto existing lab workflows — before the sample reaches the radiologist.
Venture 03 · Undisclosed
Undisclosed
A third application of the same pattern: deep domain expertise + AI infrastructure + regulated environment. Details withheld until foundation is set.
Venture 02 · Financial Advisory
SEBI-registered MF distribution and wealth advisory practice. NISM certified. PGDSM in progress. The same analytical rigour applied to large-scale IT programmes, applied to long-game personal wealth.
// Track record
The Sandoz engagement is not a credential to be listed. It is evidence of a working method: managing complexity at scale, protecting what cannot break, moving faster than the timeline demands. The same discipline runs every venture I build.
"That is not a credential. It is a proof of method." — LinkedIn About
Anchor Engagement · Case Study
Post-demerger IT separation across 37 countries and 14 GxP-certified manufacturing sites. Three MDM platforms separated. ~400 OQ+PQ test scripts. Zero operational disruption. Delivered 3 months ahead of schedule.
37
Countries
14
GxP Sites
−3mo
Early delivery
Zero
Disruption
Senior Advisory · Available Selectively
Stop the "Rip and Replace" cycle. Map your legacy constraints and build the specific bridge architecture to Agentic AI — GxP-compliant and board-ready. Two slots per month.
Background
> Ex-Accenture Vice President
> Ex-Capgemini Senior Director
> MIT — Executive Education
> $100M+ programmes led
> Pharma, Life Sciences, MedTech
// Executive AI Workshops
Not theory. Not slides borrowed from a vendor. Two programmes built from active deployment of AI in regulated environments.
Programme 01 · Technical
3 DaysFrom model selection to GxP validation to production deployment. Built from the Astraios build — real decisions, real infrastructure constraints, real clinical-grade requirements.
Who this is for
CTOs, Heads of Engineering, AI/ML leads in pharma, healthcare, and regulated industries.
Programme 02 · Business
2 DaysHow to lead an AI transformation without being led by your vendors. For the CXO who needs to own the room — not defer to it.
Who this is for
CEOs, CFOs, Board members, GCC heads, and senior business leaders making AI investment decisions.
Both programmes available in-person (Bengaluru / client site) or virtual. Custom cohort formats available for organisations.
Custom Format Enquiry// Featured whitepaper
Large Language Models are only as smart as the data they can reach. This whitepaper maps the hidden legacy debt blocking AI ROI across pharma and life sciences — and the bridge architecture to fix it without ripping out what took 30 years to build.
Finding 01
20% of legacy debt blocks 80% of AI ROI — and most organisations cannot name which 20%.
Finding 02
GxP validation creates unique AI compliance risk that generic cloud AI guidance does not address.
Finding 03
"Rip and replace" cycles stall at year two. Bridge architecture delivers faster and with less disruption.
Finding 04
Data dark matter — unstructured, undocumented legacy data — is pharma's most underutilised AI asset.
Finding 05
Post-M&A IT separation creates a 3–18 month AI readiness window that most organisations miss.
Finding 06
SLMs tuned on domain data outperform general LLMs in clinical accuracy at a fraction of the cost.
No spam. One confirmation email. Unsubscribe any time.
// Resources
Practical tools from 28 years of delivery. Download free — no login required.
// Writing
Stream 01 — Steady Capital · Substack
AI strategy, legacy debt, pharma transformation & market thinking.
Stream 02 — Building in Public · LinkedIn
The PACS build journal — technical decisions, deployment lessons, and what the textbooks don't tell you.
Post series
Why We Chose Med-Gemma Over GPT-4
Clinical accuracy, cost-per-inference, and why general LLMs fall short at 84%+ threshold.
Read on LinkedIn →Post series
When Azure India Had No Vertical Medical LLM on SaaS
Building our own Azure Container App deployment from scratch. What we learned.
Read on LinkedIn →Post series
From 78% to 81%: The Accuracy Gap That Matters
What the jump from 81% to 84% actually requires — and why most clinical AI stops before it gets there.
Read on LinkedIn →Get the weekly dispatch — Steady Capital
AI strategy, pharma IT insights, and market thinking. Free. Plain-talk.
// Let's talk
Advisory Enquiry
Pharma IT Transformation / 30-Day Audit
M&A IT separation, AI strategy, post-demerger programme leadership. Two slots per month.
Workshop Enquiry
Executive AI Workshops
Technical (3 days) or Business (2 days) programmes. In-person or virtual. Custom cohorts available.
Platform Partnership
Astraios / Healthcare AI
Diagnostic centres, path labs, radiology networks interested in AI Cloud PACS deployment.
Direct email
deb@sagestone.inLocation
Bengaluru, India
Available globally — remote advisory, in-person workshops
Current availability
Taking on 2 Legacy-to-AI Gap Audits per month. Next available slot: June 2026