Case studies

Proof, not promises.

The track record that shaped the judgment founder Partha Sarthi brings to every engagement, and ElevateBusiness 360° — what that judgment builds when paired with AI-native delivery.

Partha's track record

Pre-ElevateIdea
Six turnarounds. $15M+ recovered.

Twenty years in enterprise engineering leadership — including Aadhaar (UIDAI), IBM, and Thoughtworks — turning around stalled programs in government, banking, and retail, before founding ElevateIdea.

Government · Public Sector
Government program: $15M crisis recovery
$15M unlocked
+
$35M annual revenue program~150-person team2 quarters of halted payments

A high-profile program worth $35M in annual revenue had two quarters of payments halted and roughly 150 people underperforming — leading the customer to suspend $15M and putting the entire program at risk.

At stake

Continuation of the program itself, and trust with the customer's leadership at the highest level.

Approach

  • Removed non-performing managers and elevated strong team leads
  • Merged development and support teams; paired senior engineers with junior talent
  • Aligned priorities across the customer organization and secured direct CEO support
  • Resolved leadership conflicts by winning over the critical project leaders individually

Outcome

  • Customer resumed the halted payments within one quarter of the turnaround
  • Unlocked the $15M and protected the $35M revenue stream
  • Remaining commitments delivered in full; program continued and trust restored
Banking & Financial Services
Major bank: high-stakes partnership rescue
12-mo turnaround
+
Escalated to CEO levelTeam built 5 → 17Weekly stakeholder updates

After go-live, a critical application for a large financial institution began missing its SLAs, causing operational disruptions for the bank’s high-profile clients — an issue serious enough to escalate all the way to CEO level.

At stake

The contract itself, and credibility for every future engagement with this institution.

Approach

  • Aligned directly with the bank’s Project Sponsor (Senior VP) to resolve misalignment and prioritize the real issues
  • Worked hands-on with the team to fix the major system problems, not just manage the relationship
  • Recruited five freshers and grew a dedicated team of 17 to sustain the fix
  • Ran weekly progress meetings to keep stakeholders informed and accountable

Outcome

  • All SLAs met within the year; high-profile clients back to expected service levels
  • Trust rebuilt with the institution’s leadership
  • Track record opened new customers and a first move into the international market
Banking & Financial Services
Global bank: one month to save a multi-country rollout
30-day deadline met
+
~$1.5M annual contractYear-long delay to fixMulti-country rollout on the line

A global banking initiative was a full year behind schedule. The bank issued a 30-day ultimatum — fix it or the ~$1.5M contract ends — with expansion plans into new countries hanging on the outcome.

At stake

Immediate contract termination, and the reputation needed for further international expansion.

Approach

  • Ran a thorough requirement analysis to find where alignment had actually broken down
  • Insisted on end-to-end integration testing with all parties involved, not stubs
  • Removed non-performers and pulled in top talent from another account
  • Ran weekly joint status meetings to keep every customer team moving together

Outcome

  • 30-day deadline met; account turned green within the year
  • ~$1.5M annual contract retained
  • Groundwork laid for expanding the product into multiple new countries
Banking & Financial Services
International bank: 40% to 100% in four months
40% → 100%
+
40% delivered in 3 quartersRemaining 60% due in 1 quarterTermination threatened

Only 40% of the annual commitment had been delivered across three quarters. Facing termination, the bank demanded the remaining 60% in a single quarter — an apparently impossible ask.

At stake

This contract, and credibility for landing future large enterprise clients.

Approach

  • Engaged directly with the bank’s Managing Director to resolve incomplete requirements and pipeline gaps
  • Built a performance dashboard tracking use cases deployed per person, per week
  • Ran weekly progress updates to customer leadership for full transparency

Outcome

  • Delivered the full remaining 60% within the quarter; account moved from red to green in four months
  • Contract renewed; customer confidence restored
  • Bank became a reference customer for future enterprise deals
Technology · Product
Growing startup: three products unified into one platform
3 → 1 platform
+
3 customers, 3 product variants5-person core teamNew sectors: airlines, NBFC

Three major customers in the same domain each required a different product variant. Maintaining three codebases was draining resources and blocking expansion into new sectors like airlines and non-banking financial services.

At stake

Growth into new markets, and the company's ability to move from a service model to a product model.

Approach

  • Built a focused 5-person core product team dedicated to the consolidation
  • Refactored the codebase across all three variants for performance and maintainability
  • Consolidated into one modular, industry-agnostic platform that preserved per-customer customization

Outcome

  • Three variants consolidated into one scalable platform
  • Opened bidding into new sectors and cut ongoing maintenance overhead
  • Positioned the company to shift from service-oriented to product-focused
Retail & Consumer
Major retailer: engineering effectiveness transformation
Leadership realigned
+
~100-person business unitProduct, Program & EngineeringStalled transformation

A ~100-person business unit had a real gap in its engineering practices, and had already brought in an external consulting firm to lead a transformation. But the initiative had stalled: Product, Program, and Engineering leadership couldn’t agree on what “success” actually looked like.

At stake

Stakeholder confidence in the transformation itself, and the teams' ability to actually improve on the ground.

Approach

  • Ran workshops that put Product, Program, and Engineering leaders in the same room to agree on the actual goal
  • Worked with leadership to define concrete, shared success benchmarks — not abstractions
  • Ran ground-level sessions so teams bought into the same goals leadership had agreed on

Outcome

  • Leadership aligned behind one shared vision; the transformation regained momentum
  • Clear objectives and benchmarks established for the first time
  • Teams left with a durable framework for continuous engineering improvement

See it in action

ElevateIdea build
ElevateIdea build · AI-native delivery
ElevateBusiness 360°: proof of execution, not a pitch
10X faster with AI
+

A complete, voice-first business platform for India’s textile MSME manufacturers — covering the full order lifecycle from lead capture through advance payment, production tracking, delivery, invoicing, and repeat orders, in Gujarati, Hindi, and English. Built personally, hands-on, using AI as a daily development partner — not delegated to a team, not outsourced.

Scope — order to cash

01Leads
02Sales
03Advance
04Procurement
05Manufacturing
06Delivery
07Invoicing
08Payment
09Loyalty
10Repeat order

Approach

  • Built solo, hands-on, using AI-accelerated development as the primary engineering method — not staff augmentation
  • Designed a full order-to-cash workflow specific to textile manufacturing: leads, quotes, advance payment, production tracking, delivery, invoicing, payment, and repeat orders
  • Added a voice-first, multilingual interface (Gujarati, Hindi, English) so factory-floor users never need to type
  • Applied 20+ years of engineering judgment to decide what to build and how, while AI handled the acceleration

Outcome

  • A working, production-grade platform built end-to-end by one person in a fraction of the usual timeline — direct evidence of the AI-native delivery this firm sells, not a claim taken on faith
See it live →

External demo environment with illustrative data — not connected to production systems.

Facing a similar bottleneck?

Book a conversation