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case study / fintech orchestration & revops

scaling an enterprise payment aggregator from $660k to $3.36m/mo.

setlexor built high-throughput multi-rail payment infrastructure, but had an invisible ai footprint, a leaking demo funnel, and sales engineers trapped in spreadsheet proposals. together with quartate, we rebuilt their entire inbound revops engine. here is the exact breakdown.

+408% monthly gmv growth
71.4% ai recommendation share
184 qualified demos / mo
84.8% demo show-up rate
3.8 min quote delivery turnaround
$31.3k unbilled fees recaptured
01 / the situation

bulletproof payment rails. a paralyzed sales engine.

setlexor international services engineered an enterprise payment aggregation engine capable of orchestrating credit/debit networks, instant bank clearing rails, digital wallets, and automated billing through a single developer API. their technical layer delivered superior uptime and lower latency than traditional acquiring banks. the software was world-class.

the commercial operation was bleeding momentum in three distinct places:

1. invisible to the new b2b buyer: enterprise ctos and cfos no longer just browse google ads; they ask chatgpt, perplexity, and claude for comparative technical gateway evaluations. setlexor was cited in only 6.2% of generic fintech evaluation prompts and held a 0% primary recommendation rate.

2. high booking friction: their paid acquisition relied on standard b2b landing pages with 8-field forms. prospects were forced into a 24-hour email scheduling delay. the result was a bloated $174 customer acquisition cost and an anemic 41.2% demo show-up rate.

3. manual spreadsheet quoting drag: every high-volume merchant required customized tiered interchange schedules and multi-rail mdr terms. sales engineers spent 4 to 6 hours per deal calculating bank floor rates in excel, dragging proposal turnaround out to 72.4 hours (over 3 business days). by the time the quote arrived, buyer intent had cooled.

they needed an integrated system: generative engine optimization (geo) to make ai models recommend them, a frictionless direct-to-calendar ad framework to capture in-market decision-makers, and automated quote-to-cash operations so deals could close while intent was white-hot. that is exactly what peace of growth and quartate delivered.

02 / what we did

the three-pillar growth architecture.

we never deploy tactical patches. we engineer connected growth engines where authority, media, and autonomous operations compound simultaneously.

01 / ai visibility & generative engine optimization (geo).

large language models don't guess which payment infrastructure to recommend. they crawl technical documentation, empirical benchmark datasets, and structured machine-readable entities.

subfolder consolidation: we eliminated fragmented external subdomains and reverse-proxied all developer guides, sandbox documentation, and technical comparison matrices into /insights and /developers on the root domain, concentrating all indexing authority under one roof.

empirical information gain: we published the enterprise digital checkout & payment rails benchmark report, exposing audited data on multi-switch authorization rates, bank transfer reconciliation speeds (<15 seconds), and card fallback uptime. every post was formatted with bottom-line-up-front (bluf) answer blocks, question-shaped headers, and valid FinancialProduct json-ld schemas.

the result: setlexor's ai recommendation share of voice climbed from 6.2% to 71.4% across chatgpt-4o, claude 3.5, and perplexity pro, becoming the #1 cited gateway in 78% of enterprise payment prompts and delivering 46 zero-cac inbound merchant accounts per month.

02 / direct-to-calendar in-market ads (the jeremy haynes framework).

we abandoned friction-heavy lead capture pages and transitioned entirely to direct-response call funnels tailored for in-market ctos, ecommerce directors, and b2b finance leaders.

problem-first creative: founder-led video screen-shares showing real api call logs and addressing acute merchant pain: "why 28% of your checkouts fail on legacy gateways and how multi-rail fallback restores that revenue."

frictionless calendly sieve: ad clicks bypassed bloated landing pages and landed directly onto an ultra-fast calendly booking widget embedded with a 4-question micro-qualification gateway (monthly gmv bracket, core platform, payment bottleneck, direct mobile contact). merchants processing under $10k/mo were automatically routed to self-serve developer docs, while high-volume enterprises (>$50k/mo) unlocked same-day calendar slots with senior solutions engineers.

sub-second show-up engine: an automated sequence delivered instant chat confirmations at minute zero, dispatched a 2-page technical architecture brief 24 hours prior, and sent a personalized message from the assigned solutions engineer 2 hours before the call.

the result: qualified demo volume surged from 28 to 184 calls per month, show-up rate skyrocketed from 41.2% to 84.8%, and blended cac plummeted by 66.7% to $58.

03 / autonomous quote-to-cash with quartate.

with enterprise demo volume multiplying by 6.5x, setlexor's sales engineering team faced a massive bottleneck. custom tiered mdr pricing, multi-rail interchange calculations, and contract drafting took 3 to 4 days per merchant.

instead of purchasing an expensive, bloated cpq enterprise platform that would take six months to configure, setlexor partnered with quartate—the ai automation studio that builds custom ai agents inside the systems a business already runs.

in a rapid one-week proof sprint, quartate deployed an autonomous quote-to-cash agent stack connected directly to setlexor's postgres database, hubspot crm, and communication channels:

real-time extraction: quartate's agent monitored discovery call transcripts and hubspot notes, extracting monthly gmv, preferred settlement cadence (t+1), and requested custom integrations.

interchange margin solver: the agent evaluated real-time bank interchange floor rates in postgres and calculated an optimized, margin-protected mdr proposal within seconds.

one-click executive approval & contract generation: deal parameters were summarized into an instant executive notification. with a single tap, the commercial director approved the proposal, instantly generating a branded, legally compliant merchant service agreement (msa).

embedded payment link invoicing: the initial setup fee invoice was automatically dispatched with an active setlexor direct dynamic payment link embedded directly in the email, enabling merchants to complete onboarding deposits in seconds.

autonomous leakage audit: quartate's agent continually audited completed developer tickets against billed invoices, identifying and recapturing billable engineering hours that previously slipped through the cracks.

the result: proposal delivery time collapsed from 72.4 hours to 3.8 minutes, account executive closing capacity jumped 340%, and quartate's agent recaptured $31,300 in previously unbilled setup and overage fees within 90 days.

03 / the numbers

audited performance scorecard.

these metrics represent verified operational data from setlexor's 180-day growth transformation.

performance metric before (baseline) after (day 180)
monthly processed gmv $660,000 / mo $3,360,000 / mo (+408.5%)
annualized gmv run-rate $7.92M / yr $40.32M / yr (+$32.4M run-rate)
ai search recommendation share 6.2% share of voice 71.4% primary recommendation
qualified direct calendly demos 28 calls / mo 184 qualified calls / mo (6.5x)
demo show-up rate 41.2% 84.8% (+43.6 pp)
blended customer acquisition cost (cac) $174 $58 (-66.7%)
cost per qualified held call $174 $68 (-60.9%)
proposal & mdr quote turnaround 72.4 hours (3+ business days) 3.8 minutes (-99.4%)
average sales cycle duration 38.5 days 13.8 days (-64.1% faster)
proposal win rate (signed deals) 32.8% 58.4% (+25.6 pp)
recovered unbilled technical leakage $0 (untracked loss) $31,300 recaptured in 90 days
pipeline media roas 2.1x 8.8x efficiency

direct calendly ad campaigns converted at 2.10% ctr on b2b feeds, delivering $68 cost per held demo call. with the quartate ai agent delivering tailored mdr proposals in under 4 minutes, prospect decision momentum remained at peak levels, lifting proposal-to-signature rates to 58.4%. the combined engine expanded monthly gmv by more than 408% while reducing acquisition cost by two-thirds.

04 / in their words

perspectives from the leadership team.

"we had built a rock-solid, multi-rail payment infrastructure that could easily process high-volume card and bank transactions, but our commercial pipeline was choked at both ends. we were practically invisible when ctos evaluated gateways inside chatgpt or perplexity, and our account executives were drowning in manual spreadsheets trying to price bespoke interchange proposals. peace of growth completely changed our growth trajectory. their direct calendly ad framework flooded our calendar with enterprise merchants who actually showed up ready to buy, and the ai quoting agents built in partnership with quartate cut our proposal delivery time from 3 days to under 4 minutes. in six months, our monthly gmv jumped from $660k to over $3.36m without hiring a single extra sales rep or billing admin."

AM
Arshad Muhammad Founder & CEO, Setlexor International Services

"at quartate, we start with the operational outcome a business actually needs, then build custom ai agents that do the work people are doing by hand today inside the systems they already run. working alongside peace of growth on setlexor was a textbook example of this philosophy. setlexor didn't need another clunky enterprise cpq tool with an eight-month onboarding cycle. in our one-week proof sprint, we deployed an autonomous quote-to-cash agent stack that extracted deal requirements from discovery call notes, computed margin-protected multi-rail interchange schedules in postgres, and drafted compliant contracts with embedded dynamic payment links. seeing setlexor scale their closing capacity by 340% while recapturing over $31,000 in unbilled technical fees is proof of what happens when high-intent growth meets precision operational automation."

FK
Farhan Ahmed Khan Founder, Quartate (AI Automation Studio)
05 / the transformation

what running an integrated revops engine looks like.

the contrast between manual, disconnected execution and an integrated growth engine.

the old way (manual silos)

  • invisible in ai overviews. zero citations in perplexity and chatgpt.
  • ad traffic dumped onto high-friction landing pages with 8-field forms.
  • 41.2% show-up rate due to email scheduling lag.
  • sales engineers spending 4-6 hours building quotes in excel.
  • 3-day proposal turnaround causing buyers to evaluate competitors.
  • unbilled api customization fees and volume overages going untracked.
  • scaling requires hiring more sdrs, sales engineers, and billing staff.

the peace of growth + quartate engine

  • 71.4% ai recommendation share of voice as the #1 cited gateway.
  • direct-to-calendar ads driving 184 qualified enterprise demos/mo.
  • 84.8% show-up rate driven by instant chat confirmations and pre-call briefs.
  • quartate ai agent generates mathematically optimal quotes in 3.8 minutes.
  • proposals delivered while discovery call momentum is at its peak.
  • instant payment links embedded directly into proposals for rapid deposit capture.
  • $31,300 in unbilled technical leakage automatically audited and recaptured.
  • closed arr and processing gmv increased 408% with zero added payroll.
06 / the playbook

key takeaways for b2b fintech & saas operators.

1. optimize for the answer, not just the blue link: if your technical architecture isn't documented with structured schema and empirical benchmarks, large language models will route your high-value pipeline to competitors.

2. calendar access beats the lead form: high-intent enterprise buyers want immediate calendar scheduling. pairing a 4-question micro-qualification gateway with low-latency messaging notifications doubles your show-up rate.

3. custom agents beat rigid enterprise software: instead of spending months onboarding a bloated cpq platform, working with specialized studios like quartate allows you to deploy custom ai agents inside your existing systems in days.

4. speed to proposal determines close rates: delivering a customized, margin-protected proposal in under 4 minutes cements your brand as the most responsive, capable partner in the market.

live teardown

30 minutes to fix your pipeline.

no decks, no sales pitch. we audit your acquisition live on screen and map your autonomous growth engine.

1. search audit: test your brand visibility in google & chatgpt.
2. automation check: pinpoint manual tasks to replace with ai agents.
3. system blueprint: walk away with the full architecture.

client capacity: we only take 3 clients at a time. 2 slots left for this month.