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Everything is Compliant. Is it Enough for the Future of Deals? | 202X Vision


Host: Vishwendra Verma, Founder, GrowthSutra


Expert Panelists:

What’s Really Changing


Q. Let’s begin with an icebreaker question. Both of you have spent many years in the corporate world navigating complex enterprise deals from different vantage points—perspectives that many in the audience might miss. What is the biggest lie we tell ourselves about how deals actually get done in B2B?


Preeti Das : I think the biggest lie about these deals is that responding to an RFP exactly the way it is written is how you win. We tell ourselves that we will win purely on the strength of our technical solution and our price; that we will win on the volume of polished documentation we attach to our proposal, or our accomplishments so far.


Assume the RFP is a massive television screen sitting in front of you. You see the text on the screen, but sitting right behind that television is a real, live human ecosystem that must be addressed. If a seller fails to think of that ecosystem, and fails to bring real innovation into the combination, they are addressing nothing but a paper title. To me, that is the ultimate lie. You never win complex enterprise deals with the left brain; you win them with the right brain.


Vipan Sawhney : To build on what Preeti just highlighted, let me quote a truth from stock market experts: in any market transaction, there is a seller and a buyer, and both of them step away believing they have secured the best deal. How can that be possible? That is exactly where this myth and self-fooling start.


As Vishwendra pointed out, the actual process of evaluation begins way ahead of the formal RFP publication. In our current era, this reality assumes an entirely new avatar because of the digital footprint. There is a vast pool of key operational information available online regarding both the vendor and the buyer. To beat the myth that both parties automatically got a great deal, a modern deal-maker has to actively dig into Net-based platforms to uncover information that goes far deeper than what meets the eye. The filtering of that information must be done long before you ever step into the negotiation room.


The Failure of the L1 Model


Vishwendra : The traditional L1 (lowest bidder) methodology was designed to remove human bias, maximize transparency, and protect organizations from poor procurement choices. However, delivery realities tell a much more complicated story. A recent KPMG study of 1,800 large infrastructure projects in India found that almost half were significantly delayed, with average timeline slippages of more than three years and cost overruns exceeding 4 lakh crore rupees.


Similarly, during the recent AI infrastructure build-out, NASSCOM highlighted instances where DDR5 memory and SSD prices surged by 300% to 400% in the open market, making fixed-price contracts extremely difficult to execute for the suppliers who signed them. Despite alternative frameworks like Quality cum Cost-Based Selection (QCBS) or economically most advantageous tenders existing within legal guidelines, institutional inertia and fear of audit accountability keep the flawed L1 methodology firmly entrenched.

Vipin, inside procurement systems themselves, how does this design bias reinforce bad habits, and where do the biggest blind spots emerge after a contract is awarded?


Vipan Sawhney : We don’t need to look very far to see the failure of rigid pricing models. Look at global oil contracts over the last few years. Do you honestly believe that long-term, fixed annual pricing or standard insurance covers can guarantee physical delivery when shipping lanes are disrupted?


What we are actively seeing is that the fallacy of the rigid, fixed-price contract is slowly diminishing. Modern enterprise deals must go entirely beyond price. When a critical commodity moves through a volatile geography like the Strait of Hormuz, the long-term contract’s insurance cover, the time of delivery, and the financial viability of the supplier are instantly thrown under a shroud of question marks.


We belong to a country that is waking up from being a nation that "also ran" to a nation that is actively leading today. Look at how India has systematically built up its physical oil reserves in deep natural caverns. This infrastructure is a response to a simple reality: fixed-price paper commitments are no longer sufficient. Buyers must actively factor in logistics, supply chain vulnerabilities, transport routes, insurance layers, and alternative routes. If a loading port is compromised, it doesn't mean a country ceases to exist, but its ability to execute is instantly limited.


If your procurement system is blind to anything beyond price sensitivity, you face a massive domino effect. When a supplier cannot deliver fuel because a rigid contract made them unviable, you cannot run your factories. When factories stop, smaller suppliers face immediate ruin. A single blind spot in a compliant contract can threaten an entire operational ecosystem.


What’s Really Changing: Mapping Hidden Influencers


Vishwendra : One of the most misunderstood realities of enterprise buying is that decisions rarely happen inside the vacuum of the RFP response alone. Research shows that for enterprise technology investments above $100,000, CEO and CFO involvement is now common in almost 80% of cases. The deal may begin its life inside procurement, but eventually finance, operations, technology, cybersecurity, legal, and HR all become active stakeholders. The buying process becomes a complex internal negotiation long before it ever becomes a vendor negotiation.


Preeti, since you emphasized looking behind the written document, how can intelligent deal-makers identify the real influencers, budget owners, and decision-makers who ultimately shape the direction of a deal when the technical scores of the top vendors look broadly identical?


Preeti Das : This reminds me of a fascinating experience from when I was serving as the CEO of a mid-sized IT firm. We received a very large RFP from the healthcare division of an enterprise client—a scale of contract our organization had never attempted before. Following traditional habits, we brought our entire delivery team—architects, program managers, testers, and leads—into one room to formulate our responses.


As the team was systematically going through the text, trying to find clever answers to tricky compliance questions, a young fellow from our Organization of Strategic Management (OSOM) group—which was a small unit of 7 or 8 very young, non-traditional thinkers—stood up and asked a simple question: "Who are we actually addressing this RFP to?"


The immediate response from the room was, "The CIO, of course," because the CIO’s office had handed us the document. But this young man pushed further: "Then why is the CFO listed as the ultimate project sponsor?"


That simple question completely transformed our strategy. When we re-examined the entire RFP through that lens, we realized that every single major requirement had a distinct internal stakeholder sitting quietly behind it, and every stakeholder had an objective that was fundamentally different from the others:

  • The CHRO had inserted heavy questions around user adoption and change management because they were deeply concerned about how a new ERP system would disrupt employee workflows.

  • The CEO was focused entirely on high-level digital transformation and long-term business agility.

  • The CFO was looking directly at working capital requirements and financial optimization metrics.

Every single requirement had a different human owner, and every owner had a specific measurable success criterion. If you respond to an RFP as if it is just a flat stack of paper, you lose. You must respond directly to the live human ecosystem operating behind the scenes. You have to uncover the "WIIFM" (What’s In It For Me) for each individual stakeholder and curate your responses to address those specific anxieties. We ultimately won that massive deal, but it required an internal transformation in how we read the client. The digital fingerprints of the true buyers are written all over the RFP text; you just need the strategic lens to see them. A traditional deal covers the price; an intelligent deal maps the stakeholders and co-creates their outcomes.


Audience Questions


Q. That is a crucial point. Following up on that, is there a practical way to systematically uncover that stakeholder map before submitting your proposal, or do you have to wait until you are face-to-face in a client presentation?


Preeti Das : You absolutely can discover them in advance. As I mentioned, the fingerprints are embedded directly in the wording of the requirements. When a section touches heavily on human capital, training, or organizational displacement, a CHRO is actively involved. When a clause targets precise financial closure terms or working capital impacts, the CFO's office drafted that line.


Use these telltale signs to construct an initial stakeholder hypothesis map. Then, go directly to the CIO with an intelligent proposition. No CIO in their right mind blocks a vendor who initiates a sophisticated, multi-stakeholder business alignment discussion. They only block the typical "box-vendors" who are just trying to sell software licenses or hardware.


Let me share an upfront warning: if you encounter a toxic CIO who completely locks down the account, refuses to allow strategic discussions, and hides behind rigid walls, do not waste your company’s resources attempting that deal. In those scenarios, the RFP has likely been custom-written by an incumbent vendor who has been sitting inside the account for months. If you want to use the process as a training exercise for your team to learn a framework, go through the motions—but recognize that you are highly unlikely to win.


Q. How do you identify a toxic CIO early in the cycle before sinking significant costs into a bid?


Preeti Das : A toxic CIO reveals themselves instantly through their behavior: are they an enabler or a blocker for your solution? If every strategic discussion, prototype, or value proposition you bring to the table is systematically sidelined, ignored, or met with superficial fault-finding rather than collaborative exploration, they are blocking you.


Furthermore, if it is a new account, do your homework outside the client's walls. Human behavior tells a clear story, and these critical organizational insights are rarely dropped inside a formal meeting room—they are uncovered over a casual cup of coffee or tea outside the corporate office. You cannot win or structure an enterprise deal without fundamentally understanding human behavior.


Revenue Models & Sourcing Platform Security


Q. Let’s transition from human networks to digital networks. Most modern procurement processes have shifted onto cloud-based SaaS e-tendering platforms to increase objectivity and transparency. Vipan, what are the hidden security vulnerabilities—such as privileged user exposures, internal data leaks, or platform governance gaps—that buying committees and supplier teams consistently overlook?


Vipan Sawhney: This is an incredibly pertinent issue given how deeply technology acts as a procurement enabler today. In the traditional public procurement system, buyers met in a closed room, dropped sealed paper tenders into a heavy wooden box, opened them physically in front of all participants, and read the bids aloud. While designed to be transparent, that physical methodology was consistently defeated through bidder coalitions or corrupt rings.


Moving sourcing onto digital SaaS platforms solved physical tampering, but conducting business over a remote server does not automatically mean your proprietary commercial data is safe. Enterprise data faces critical exposure at three distinct phases: data at rest on the bidder’s end, data in motion across the open web, and data at rest inside the platform’s database.


Consider a standard e-procurement workflow: an internal IT support person or a bidder's staff member enters highly sensitive pricing structures into a web form. That is leak point number one. That proprietary information then travels across the network to the platform's hosting center—data in motion, leak point number two. Finally, it arrives and sits inside a cloud database for a week or more before the formal opening date.

 

This cloud database is managed by a third-party platform provider, and their database administrators (DBAs) hold absolute, privileged read access to the underlying SQL servers. If competitor pricing data is accessed or compromised at this stage, the commercial sanctity of the entire deal is wiped out.


Fortunately, modern cryptographic engineering allows intelligent organizations to completely plug these security holes. The most effective approach is data encryption at source. Under this framework, the bidder encrypts their commercial pricing payload locally on their own workstation before hitting submit, and they keep the unique decryption key entirely in their own hands.


The encrypted payload travels across the network and sits as unreadable gibberish inside the hosting database. Even the cloud provider's DBA is completely helpless; they cannot read the pricing files because the platform does not hold the key. Only when the official, electronic tender-opening event arrives do the remote bidders simultaneously supply their unique cryptographic keys to the evaluating agency, unlocking the database fields in real time. By utilizing source encryption combined with Public Key Infrastructure (PKI), enterprises can secure data at rest, data in motion, and database storage through an elegant, cost-effective framework


Case Study : Intelligent Pricing Decisions & AI


Vishwendra : We received a highly relevant question from Vijay Sabharwal via LinkedIn. He highlighted a recent corporate case study where enterprise AI and agentic systems successfully unlocked over 250 basis points of margin improvement through highly automated, intelligent pricing decisions. While the outcome is compelling, he asks: what are the practical nuts and bolts required to make such intelligent decision-making work in reality, and what specific data governance processes are required to scale from price-led decisions to value-led outcomes?


Vipan Sawhney : To pick up the thread from our discussion on balancing time, quality, and price, the core operational requirement is using platform automation to dramatically shorten the window between initial bidding, technical evaluation, and final contract award. Traditional procurement systems allow data to sit stagnant for weeks, leading to margin erosion. Modern data governance must utilize connected contract modules that tie directly into electronic sourcing platforms. The moment an electronic award is verified, it must instantly trigger executable digital deliverables. By streamlining this data pipeline, you eliminate operational lag and capture immediate margin.


Preeti Das : To understand the practical "nuts and bolts" of how agentic AI drives that 250 basis point margin improvement, let's look at a concrete example from the auto insurance world. The single greatest financial exposure for an insurance carrier occurs during the claims settlement phase, which is a massive source of value leakage. By deploying specialized agentic AI personas across the intake gateway, you can structurally alter the cost dynamics across three distinct areas:


First, Instant Intake Processing: Agentic systems immediately ingest the First Notice of Loss (FNOL) documents, automatically verifying data fields and coordinating real-time responses to field entities without human latency, stripping massive cycle time out of the process.


Second, Granular Parts Cost Audit: Think about the millions of vehicles on the road, across thousands of distinct makes, models, and custom components. When repair garages submit highly inflated claims invoices, it is humanly impossible for a claims officer to cross-reference static Excel sheets to verify market rates for individual parts. An AI agent can parse humongous datasets instantly, acting like a digital investigator to pinpoint exactly where a repair shop has exaggerated component costs.


Third, Fraud Ring Identification: Organized fraud rings frequently submit distributed, exaggerated claims across multiple geographies hoping the patterns won't be linked. Because taking every minor fraud case to court is prohibitively expensive, human teams often refrain from punitive action and simply absorb the loss. An AI agent can continuously analyze photos, police reports, and historical adjuster data to instantly link recurring geographical patterns and flag fraud rings before a single payout occurs.


When you combine this massive compute capability with compressed turnaround times, you stop value leakage right at the digital gate. You are no longer making defensive decisions based on lagging indicators; you are executing automated pricing governance based on real-time data.


Key Takeaways 

  • Look Beyond the Document: Never treat an RFP as a static paper exercise. Actively map out the hidden multi-stakeholder human network and identify the real business drivers behind the requirements.

  • Measure Outcomes over Upfront Cost: Shift evaluation frameworks away from pure price grids to explicitly measure delivery capabilities, adoption risks, user change management, and true implementation burdens.

  • Quantify Value in Financial Terms: Convert abstract performance advantages like execution speed, risk mitigation, and domain expertise into clear economic metrics that connect directly to the CFO’s cash flow cycles.

  • Secure Sourcing Infrastructure: Address modern digital vulnerabilities by executing source-level encryption to protect proprietary commercial data across cloud networks.

  • Foster Best-of-Breed Co-Creation: Break past the L1 grid by designing frameworks that safely combine the innovative speed of startups with the operational scale of legacy system integrators.

  • Treat Compliance as the Baseline: Recognize that strict compliance merely protects an enterprise from audit failure; it never guarantees business success.

Watch The Replay


This Q&A is based on GrowthSutra's "Everything is Compliant. Is That Enough for the Future of Deals? | 202X Vision" session.


The full replay is available on GrowthSutra's LinkedIn and YouTube channel .




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