The work,
not the CV.

Four situations. Each one a different kind of broken. The format is the same throughout: what was broken, what I did, what changed, what it proves.

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Repositioning a pharma SaaS from tech-first to consulting-led — and building the commercial engine around it.

Context. PurpleLeaf Strategy had a pharma commercial excellence SaaS platform — Enavia — with genuine relevance for brand planning, revenue forecasting, and field-force alignment. The product worked. The commercial architecture around it did not.

What was broken. The platform was being sold as a technology product into an environment where pharma buyers needed a business-case-led transformation narrative. There was no coherent pipeline logic, no CRM discipline, no forecasting that anyone trusted, and no distribution leverage beyond direct outreach — which was too slow and too expensive for a niche B2B product. The go-to-market was scattered. The buyer journey was undefined. Commercial commitments were made without checking delivery feasibility.

What I did. The first intervention was strategic: I repositioned the offer from a tech-first platform to a consulting-led hybrid. Pharma buyers do not buy complex systems because the software exists — they buy when the system is connected to business outcomes. I then built the commercial operating model: pipeline stage logic, forecasting methodology, KPI review cadences, opportunity hygiene, and a single trusted view of commercial performance. I led the CRM transformation from Zoho to Attio, redesigning the information layer rather than just migrating data. In parallel, I rebuilt the go-to-market across website messaging, outbound, email, LinkedIn, Google Ads, and customer journeys. The most strategic move was building an affiliate consulting network — positioning Enavia as an OEM-style solution that existing pharma consultants could bring into client work, creating a distribution layer without proportional acquisition cost.

What changed. 5× growth in qualified traction within six months of repositioning. Six-figure contracts across pharma, healthcare, and medical devices, including GSK. Pipeline became forecastable. Management had a real view of deal progression and risk. The business moved from founder-led opportunistic activity to a governed revenue operating model.

What this proves. I can walk into a B2B company with a strong product and a broken commercial architecture and rebuild the operating layer — positioning, CRM, pipeline, forecasting, distribution, and governance — simultaneously.

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Building a commercial proposition from zero in a category that did not yet exist.

Context. Solo founder. Functional beverage startup. India, 2016. The product — a premium antioxidant RTD tea using supercritical EGCG extraction — was technically sound. The commercial problem was that the category it needed to sit in did not exist yet.

What was broken. The Indian nutraceutical market was split between medicinal Ayurveda (too traditional, too therapeutic), mass beverages (too commoditised), and imported wellness brands (aspirational but inaccessible). There was no clean-label modern functional nutrition category. Consumers did not know whether to treat functional products as medicine, wellness, or lifestyle. Retailers had no shelf logic. Pricing benchmarks did not exist. Regulation was evolving.

What I did. I built the category before I sold the product. The positioning moved away from Ayurvedic language entirely — toward modern, clean-label, everyday functional nutrition. The brand architecture was designed to carry three things simultaneously: trust (through regulatory first-mover approval under India's 2016 Food Safety framework), modernity (through minimalist visual identity and benefit-led messaging), and simplicity (shelf logic a retailer could place in thirty seconds). I built separate messaging for three different audiences: consumers needed benefit clarity, retailers needed margin confidence and repeat-purchase logic, investors needed a scalable platform narrative. Pricing was built around category creation, not discount entry — protecting gross margin from the start. Product-market fit was validated through direct retail onboarding and feedback loops, not market research. Distribution scaled only where adoption signals justified it.

What changed. €230K raised across two rounds. 3,000+ retail touchpoints across eight metropolitan markets. 41% gross margin at 10,000 units per month. National launch partner: Barista Coffee Company (150+ stores). Nilgiri's, Namdhari's, and BigBasket followed. Inc42 exclusive coverage. Break-even reached within two years.

What this proves. I can build a commercial proposition from zero in an undefined category — holding pricing discipline, regulatory complexity, multi-audience messaging, and distribution logic simultaneously, with no team and no agency.

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Diagnosing a structural model failure and rebuilding with better architecture under constraint.

Context. COVID hit in March 2020. The retail distribution network that had taken four years to build — 100+ stores across four metros — became largely inaccessible overnight. The obvious response was to wait it out. The correct response was to examine why the model had been fragile in the first place.

What was broken. The retail model had structural problems that COVID exposed but did not create. Listing fees ran to crores for serious modern trade placement. Distributor dependency locked working capital. Non-payment by retailers blocked manufacturing cycles. Warehousing in multiple cities at low volumes destroyed unit economics. The model scaled by adding complexity, not by improving fundamentals.

What I did. I diagnosed the structural failure rather than treating the symptoms. The rebuild was deliberate: a D2C-only, prepaid-only model — no shelf fees, no distributor dependency, no working capital locked in retail credit, no warehouse in every city. Sacred Leaf was designed for this architecture from the start: premium glass bottles, functional botanical elixirs (Clarity, Calm, Rise), mythology-led branding, gifting-grade packaging. The entire operation ran remotely. Manufacturing was batch-based and demand-led. The brand looked like it came from a London studio. It came from one person in Bengaluru.

What changed. The D2C prepaid model was validated: pan-India access with zero listing fees, no distributor margin, no inventory risk at multiple locations. The business ran fully remotely. It was handed over to family — fully operational — on relocation to Germany in December 2022.

What this proves. I can identify when a model is structurally broken rather than temporarily stressed — and rebuild with cleaner architecture when the pressure is highest.

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Category repositioning in a market full of questionnaire tools and weak decision accountability.

Context. Vendor risk management is a crowded software market. Most tools are built around the same logic: send a questionnaire, collect answers, produce a risk score, store the documents. The market assumes the problem is questionnaire management. It isn't.

What was broken. Most mid-market companies manage vendor approvals through spreadsheets, email threads, shared folders, and undocumented exceptions. The result: slow onboarding, repeated evidence collection, unclear ownership, stale risk data, and decisions that cannot be defended later. The deeper problem is not that questionnaires are too slow — it is that there is no frozen decision record. When an auditor asks why a vendor was approved, the reasoning is scattered or missing entirely. And critically: a high-risk cloud provider and a low-risk stationery supplier are run through the same process.

What I did. I repositioned the category. KnightGrid is not vendor risk management software — it is vendor decision infrastructure. The product logic shifted from question → answer → score to control → evidence → confidence → decision. The E0 fast path clears low-risk vendors in minutes, so human effort concentrates where risk is real. I defined the mid-market ICP: 100–1,000 employees, outgrown spreadsheets, not ready for enterprise GRC complexity. I built buyer-specific messaging across five stakeholders: Procurement (speed), Security (control verification), Compliance (auditability), Legal (risk boundaries), Leadership (accountability). The commercial wedge is narrow: replace manual vendor intake and approval workflows with a structured, defensible decision system — before expanding into monitoring, renewal, and portfolio intelligence.

What this proves. I can identify category positioning gaps, build commercial logic from first principles, and design a product narrative that differentiates on method rather than features — even without external capital or a team.

I diagnose before
I prescribe.

Most commercial problems are not what they first appear to be. A founder says the problem is lead generation. Usually it is positioning. A sales team says the problem is the product. Usually it is the pipeline. A business says the problem is growth. Usually it is that the existing model does not work at the next size.

The diagnostic phase is not a preliminary — it is the most important part. Everything that follows depends on naming the real problem correctly.

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Six lenses

I look at a commercial system through six lenses. Not all of them are broken at once — but the ones that are broken are usually connected.

• Positioning. Is the business understood quickly? Can a target buyer read the homepage, hear the pitch, or see the product and know immediately whether it is for them? If the answer requires a long explanation, the positioning is doing work the business cannot afford.
• Offer. Is the product or service actually packaged for buying? Is there a clear unit of value, a clear price, a clear outcome? Or is the business selling capabilities rather than outcomes — and expecting the buyer to figure out the rest?
• Funnel. Where does attention, trust, or conversion break? Is there enough top-of-funnel activity? Is the middle converting? Is the close rate low because of price, fit, or a relationship problem? Each failure point has a different fix.
• CRM and systems. Is commercial knowledge captured or lost? Does the business know which deals are real, which are stuck, and which are dead? Can it forecast with any confidence? Or does revenue feel like a surprise — in both directions?
• Sales motion. Is the business selling in the right rhythm for its buyer? A B2B enterprise sale with a nine-month buying cycle cannot be managed the same way as a D2C subscription. The motion — cadence, stakeholder mapping, follow-up discipline, milestone logic — has to match the buyer's process.
• Founder reality. What can actually be executed with current money, team, and time? The most important diagnostic question. A plan that requires three more hires, a new CRM, a rebrand, and a new market entry is not a plan — it is a wish list. I work with what exists.

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How I work

• No fake sophistication. If the answer is simple, I say so. Complexity in a diagnosis is usually a sign that the real problem has not been found yet.
• No deck-first strategy. A strategy document that does not connect to an executable first step is not useful. I start with the action, then work backwards to the logic.
• No brand before commercial clarity. A rebrand will not fix a broken offer. A new visual identity will not fix a positioning problem. Commercial clarity comes first.
• No automation before process clarity. Automating a broken process makes it faster to be wrong. The process is fixed first.
• No growth plan detached from execution capacity. A plan has to be executable by the team that exists, with the money available, in the time remaining. I plan within those constraints — not around them.
• No ongoing dependency. The output is a working system, not a relationship. I hand over completely and do not stay for execution.

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If you want to find out what is actually broken in your commercial system, the first step is a conversation. No charge. No obligation. I will tell you whether the problem is fixable, structural, or not worth forcing.

Not consultancy.
A sharp deliverable.

No slides. No retainers. No ongoing advisory. I take on a defined problem, produce a specific output in an agreed format, and hand it over completely. You own it. I do not stay for execution.

The output might be a pricing policy, a GTM experiment design, a pipeline architecture, an ICP definition, a revenue forecasting framework, or a positioning reframe. Whatever the problem requires. The format is agreed before work begins. The fee is fixed to the output, not the hours.

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Four types of engagement

• Commercial Diagnosis. For founders or commercial leads who feel stuck but cannot name the real bottleneck. One focused session, structured around the six diagnostic lenses. The output is a clear statement of what is broken and what the fix looks like — before any further commitment is made.
• GTM and Positioning Sprint. For businesses with a working product but unclear market entry, messaging, or buyer logic. The output is a complete go-to-market design: ICP, positioning, offer packaging, channel logic, and sales motion — ready to execute.
• Commercial Systems Build. For businesses where the commercial infrastructure does not exist or is not fit for the next stage. Covers CRM structure and governance, pipeline stage logic, forecasting framework, territory or account logic, and revenue operating model.
• Fractional Commercial Operator. For early-stage or messy businesses that need someone who can move across positioning, sales, systems, and execution simultaneously. Defined scope, defined duration, defined deliverable. Not an open-ended engagement.

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How it works

• Discovery call. Thirty minutes. No charge. No obligation. We establish whether the problem is one I can help with and whether the fit is right.
• NDA. Signed before any commercial information is shared. Standard. Non-negotiable.
• Intel phase. I gather everything relevant: market context, competitive landscape, internal data, team structure, current commercial motion. I ask a lot of questions.
• Output agreed upfront. One clear deliverable. Specific format. Defined scope. No scope creep.
• Delivery. Typically three to six weeks depending on complexity.
• Handover. The output is yours, completely. I do not stay for implementation. That is intentional.

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Pricing

Fixed fee per engagement, agreed before work begins. Priced on the output — not the hours. Discussed on the discovery call.

I also consider the right full-time role. If the problem is genuinely complex and the team is serious, that conversation is equally welcome.

One thing I am
building on the side.

Alongside engagements and the job search, I am building KnightGrid. It is not the primary focus — but the problem it addresses is obvious enough that leaving it unaddressed felt like a waste.