Pramāṇa.
Agentic AI · Order-to-Cash · Value Engineering

Turn AI ambition into proof.

I help CPG, retail, and industrial leaders turn Agentic AI and Order-to-Cash modernization into measurable P&L results — faster cycles, lower cost, higher win rates. And I help the technology firms selling to them prove that value in the deals that matter.

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Principal advisory by Srini Burra · 20+ years in enterprise transformation
Explore latest insights & podcast →
20+
Years · Enterprise transformation
O2C · ERP
Order-to-cash & value capture
PoC → Prod
AI shipped, not demoed
CFO-grade
Cases that win budget
प्रमाण
pra · māṇa
“a valid means of knowledge: proof, evidence, measure.”
The standard we hold work to

Evidence over enthusiasm.

In classical Indian epistemology, pramāṇa is the test a claim must pass before it counts as knowledge. It is the right name for this practice. The market is loud with AI ambition; what's scarce is the discipline to prove value, govern risk, and ship to production.

Every engagement is built to produce evidence: a measured baseline, a governed pilot, a number a CFO will accept. We pair deep enterprise-AI delivery with the executive narrative that wins budget, so the proof and the pitch arrive together.

How we help clients

Global insight. Local execution. Measurable outcomes.

For enterprises

From ambition to production

For manufacturing, aerospace, CPG, and retail leaders modernizing with AI.

  • AI strategy tied to P&L
  • Order-to-Cash / ERP optimization
  • Data trust & governance
  • Delivery to production, not demo
For technology firms

From offer to win

For IT services and product firms sharpening how they sell AI.

  • Go-to-market & positioning
  • Pursuit, proposal & value engineering
  • Practice & capability building
The outcome

Evidence that moves decisions

Whichever side of the table you're on, you leave with numbers a CFO will accept.

  • Measured baseline + governance
  • Production-ready pilots
  • Executive narrative & ROI case
Recent insights

Turn data into decisions, and decisions into measurable impact.

Field notes on AI proof, data trust, and enterprise growth, drawn from the work, not the whitepapers.

The Pramāṇa Podcast

Conversations on proof, with Srini Burra

AI, data trust, enterprise transformation, and what actually moves the needle for CPG and technology leaders.

Listen here →
Podcast · Ep. 01

AI SDLC Measurement: 90-day pilot results

What controlled testing revealed about real productivity, quality, and governance impact.

Listen now →
Brief · June 2026

The data-trust gap closing in enterprise AI

Why lineage and quality remain the #1 blocker, and the reference architecture that works.

Read the brief →
Field Guide

From internal tools to a sellable AI platform

Rationalizing scattered initiatives into a coherent story with ROI that stands up to scrutiny.

Read →
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What we do

Two practices, one operating belief.

Enterprises need AI that survives contact with production and governance. The firms selling to them need a sharper way to win. We work both sides of that table.

I

Enterprise AI & Data Transformation

/ strategy

AI Strategy & Value Mapping

Cut through the backlog of ideas to a prioritized portfolio tied to P&L, with the business cases CTOs and VPs can take to the board.

/ trust

Data Trust & Governance

Architect the data quality, lineage, and guardrails that make AI outputs defensible: the difference between a pilot and a system you can stand behind.

/ delivery

AI-Integrated SDLC & Security

Embed AI into the engineering lifecycle with security gating, measurement, and CI/CD discipline: productivity you can actually evidence.

/ o2c

Order-to-Cash & Commerce Modernization

Order-to-Cash (O2C) ERP optimization, connected supply chain, and intelligent automation for CPG, retail, and distribution — compressing cycle times and freeing working capital at enterprise scale.

II

Sales & Growth Strategy for Technology Firms

/ gtm

Go-to-Market & Positioning

Sharpen how an IT services or product firm frames its AI offer: the message, the ICP, and the wedge that separates you from the field.

/ pursuit

Pursuit, Proposal & Value Engineering

Win the deals that matter. Quantified value engineering, executive business cases, and proposal architecture built for CXO buyers — measurable ROI, not procurement boilerplate.

/ portfolio

AI Portfolio Rationalization

Turn a scatter of internal AI tools into a coherent, sellable platform story, with a 30/60/90 plan and ROI metrics that hold up.

/ enablement

Practice & Capability Building

Stand up or sharpen an AI practice: offerings, delivery playbooks, and the upskilling path that makes the team credible in front of clients.

Signature engagements

Productized, so you know what you're buying.

Fixed-scope entry points designed to produce a decision-grade artifact fast. Each is a doorway to deeper work.

AI Readiness & Value Map

3 WEEKS

A diagnostic of where AI can move your P&L, what's blocking it, and the sequenced bets worth making.

OUTPUTPrioritized portfolio + board-ready business case.

Data Trust Architecture

4–6 WEEKS

A reference design for data quality, lineage, and AI guardrails on your stack: the foundation production AI needs.

OUTPUTArchitecture, runbook, and phase-2 build plan.

AI SDLC Measurement PoC

90 DAYS

A controlled pilot that measures AI's real impact on engineering: cost, quality, and governance, with honest numbers.

OUTPUTCohort results + scale recommendation.

Pursuit War-Room

PER DEAL

For tech firms chasing a strategic account: the narrative, business case, and proposal strategy to win it.

OUTPUTWin theme, exec case, and proposal spine.
Self-assessment

Where does your AI program stand?

Five questions. An honest read on whether you're set up to turn AI into proof, and what to fix first.

1. AI initiatives are tied to a specific P&L outcome, not just experimentation.

Not yet
In progress
Mature

2. We can trust our data's quality and lineage enough to act on AI outputs.

Not yet
In progress
Mature

3. There's governance for how AI is built, secured, and approved for production.

Not yet
In progress
Mature

4. At least one AI use case is running in production, with measured impact.

Not yet
In progress
Mature

5. Leadership can articulate the business case for AI spend in numbers.

Not yet
In progress
Mature
Readiness index
0/10
Answer to begin
Your readiness signal updates as you respond. This is a conversation-starter, not a scorecard for the record.
Discuss your result →
How we work

A short path from question to proof.

01 · Diagnose

Find the real constraint

We pressure-test the ambition against data, delivery, and governance reality, and name the bet worth making first.

02 · Architect

Design the proof

A governed pilot with a baseline, a metric a CFO accepts, and the guardrails that let it run in production.

03 · Scale

Make the case to grow

Evidence in hand, we build the executive narrative and roadmap that turns one win into a funded program.

Srini Burra, Principal
The principal

Srini Burra

Enterprise AI · Data Trust · Growth Strategy

Two decades leading transformation for global enterprises: first in manufacturing and aerospace & defense, then in CPG and retail. Strategy, data governance, intelligent automation, and modernization, carried all the way to production. The throughline never changes: ambition is cheap, evidence is rare, and the work is to close that gap.

That discipline runs in both directions. The same rigor that makes an AI program defensible also makes a value narrative win budget. That's why this practice advises enterprises and the technology firms selling to them with equal fluency. Read widely across ethics, systems thinking, and decision-making. Allergic to hype. Biased toward the number that settles the argument.

AI StrategyOrder-to-Cash / ERPValue EngineeringData GovernanceAI SDLCSupply ChainManufacturingAerospace & DefenseCPG & RetailGTM & Pursuit
Pramāṇa Insights

Evidence-based briefs, a few times a month.

Short, practical notes on AI, data, and growth strategy for enterprise and technology leaders. No noise.

One-click unsubscribe · your address stays private.

Have a problem worth proving?

Tell me where you're trying to go with AI, or who you're trying to win — and what a win looks like in numbers. You'll get a point of view in the first conversation, not a pitch.

Book a strategy call →

— or send details and I'll come prepared —

Prefer email? hello@pramanaadvisory.com