NoteSwift: Turning Product Momentum into Scale
“The speed at which IntentSG added value was remarkable. We immediately started moving on new features, onboarding new customers and our CTO had cycles for strategic initiatives. All this in a very economical global team integrated into our culture.”
KEY RESULTS SUMMARY
Feature velocity: 60% faster (1-2 stories/sprint → 6-8 stories/sprint)
Uptime: 99.99%+
Team scaling: 2 → 6 engineers in 8 weeks
Time to productivity: New engineers shipping code in days not weeks
CTO capacity: Freed from tactical firefighting to strategic leadership
THE GOAL
NoteSwift's AI assistant, Samantha, solved a problem every healthcare provider faces: documentation steals clinical time. Providers spend hours transcribing or dictating visit notes instead of seeing patients. Samantha cut that time by 1.5 hours per day per provider. That time directly translated to more patient appointments, higher practice revenue, and fewer burned-out physicians.
The goal was to scale both the product features and the number of active customers as rapidly as possible to capture marketshare. The CTO and one senior engineer carried the entire technical operation though; feature development, production support, customer success calls, sales engineering demos. Everything ran through two people. Sales conversations kept ending the same way: "We love it, when can we go live?" and the answer was: "We have a 3 month queue of deployments."
The CEO saw what was coming and either the company hired aggressively and waited months for new engineers to ramp, or they found found a partner that could help scale the people, process, and technology quickly. Waiting meant watching competitors move faster. The objective was simple, ship features at the pace the market demanded but the model was already maxed out.
THE PROBLEM
The technical team was too small, but adding headcount alone wouldn't fix it. Three things needed to be addressed in parallel.
Capacity. Two engineers owned architecture, features, bugs, DevOps, customer support, and pre-sales technical calls. Context-switching was constant. Deep work was impossible. When the CTO was debugging a production issue on a customer call, no one was thinking about the next quarter's roadmap.
Predictability. Development was reactive. Features got prioritized based on whoever shouted loudest. There was no backlog discipline, no sprint rhythm, no way to tell stakeholders "this ships in six weeks" with any confidence.
Stability. Uptime was a daily gamble. Bugs surfaced in production because there wasn't time for QA. Monitoring was manual. New team members couldn't onboard quickly because the codebase was tribal knowledge. The infrastructure held together, but barely.
If nothing changed sales cycles would stretch out because prospects needed feature commitments the team couldn't make, existing customers would escalate issues that should have been caught internally, and the CTO and senior engineer would burn out within months.
The actual problem wasn't "we need more engineers." The problem was "we need an engineering organization that can absorb new people, execute predictably, and run production without heroics."
HOW WE DID IT
A board member connected NoteSwift's CEO to IntentSG. That board member was also the CEO of another IntentSG client where IntentSG solved nearly identical problems. The referral came with credibility already attached: "They've done this before. They know how to embed with a team under pressure."
IntentSG embedded a team who reported to NoteSwift's CTO, used their tools, joined their standups, and shared accountability for uptime and delivery. From the outside, you couldn't tell who worked for which company. From the inside, everyone was pulling in the same direction.
We added four new team members, doubling capacity. The focus wasn't just headcount. We paired them with NoteSwift's existing team so institutional knowledge transferred immediately. Within days, the new engineers were shipping code. Within two months, the expanded team was operating at peak efficiency.
Ad-hoc feature requests became a prioritized backlog. Work got organized a product backlog, the team started working in two-week sprints with clear goals. Velocity metrics were used to help predict delivery schedules. QA wasn't an afterthought, it was part of the definition of done. The team held retrospectives to tighten the process each cycle. Instead of chaos, there was rhythm.
The CTO able to focus on key business priorities. CTO focused on technical vision, hiring strategy, architecture decisions, mentoring. The day-to-day execution belonged to the team. Leadership finally had space to think beyond the current sprint.
We documented systems that had only lived in two people's heads. We automated deployments, tightened monitoring, improved test coverage and uptime stopped being a question mark. Onboarding new engineers went from "shadow someone for a month" to "here's the wiki, here's the CI pipeline, here's your first task."
Each change reinforced the others. A bigger team means nothing without process. Process means nothing if leadership is still firefighting. And infrastructure improvements don't matter if the team can't execute predictably.
THE NEW REALITY
In two months, everything changed.
Features delivered 60% faster. The team went from 1-2 completed stories per sprint to 6-8. Sales and Marketing finally had some delivery predictability. Customer feature requests that used to sit in limbo for months started closing within weeks.
Uptime reached 99.99%. Production incidents dropped. Customers stopped reporting bugs that should have been caught internally. Reliability became a differentiator in a market where competitors struggled with downtime during peak hours and where accuracy is key.
The team scaled from 2 to 6 in eight weeks. Traditional hiring would have taken a year. The embedded model delivered productivity in the first sprint. By month two, the expanded team was operating as a single integrated global team, not "internal vs. external."
The CTO got their time back. The CTO stopped being the go-to for every technical fire. Sales calls no longer required engineering participation by default. The founding team had bandwidth to think about the next six months instead of the next six hours.
WHY THIS MATTERS
NoteSwift hit the inflection point that stops most startups cold. Product-market fit is proven. Early customers love it. Revenue is growing. But the people, process, and technology that got you here can't take you to the next level. The company's growth is capped by capacity, and traditional solutions (hire aggressively, wait for ramp time) take too long or aren't economical.
The usual options look like this: spend six months recruiting senior engineers who might work out, or bring in contractors who bill hours but don't care about outcomes. Neither option solves the real problem, which isn't just headcount, it's building an engineering operation that scales - economically.
The answer is bringing in a partner who integrates with your team, shares accountability for delivery, and leaves you with more than just extra hands. A partner helps you with process, infrastructure, and a technical organization that can absorb future hires.
In eight weeks, NoteSwift went from two engineers maxed out to a six member team shipping predictably. 60% faster delivery, 99.99% uptime, and a CTO who could finally focus on strategy. If you're the founder of a scaling healthtech startup watching your best engineers drown in operational chaos, NoteSwift's trajectory will look familiar. The question is are you willing to bring in a partner who commits to the outcome.
TECHNOLOGY STACK
C#, .Net, Azure (App Service, SQL Database, Blob Storage, Entra, Key Vault, DevOps), Nuance Dragon Medical SDK