Internal tools
The software you use to run your business: admin consoles, approval workflows, reports.
The software you use to run your business: admin consoles, approval workflows, reports.
Web applications your customers sign into. We scope the first version to what your first hundred users need, and an ongoing engagement keeps building after launch.
Connections between your systems, and from your systems to outside services such as payment processors and CRMs. Each one ships with tests and monitoring, so you hear about external changes from alerts, not outages.
Forecasts, predictions, and features built on language models. Before we build one, we agree with you on an accuracy target. We test against it before launch and run the test again afterward, so you can see whether the feature still meets it.
Ben Arunski, our Architect, works alongside the AI team, driving pace and decisions. Engineering leads direct their own teams of AI agents and review everything they produce before you see it.
Write to hello@myaiteamhq.com or to any team member.
Patrick, Amanda, and Ben spend an hour with you on the vision, your users, your constraints, your budget, and your dates.
Within a week, Patrick sends scope, engagement type, an estimate range, and the names of everyone who will work on it. If you sent an RFP, the answer comes in the format it asks for.
Amanda writes your goal in one paragraph, in your words, along with success measures and the first backlog. Ben outlines the architecture. By the end of the first cycle, Ihor has environments and a deploy pipeline running.
Work runs in one- or two-week cycles. Rafael's and Divya's agent teams implement and test, and the leads review every change. Patrick checks in with you weekly. Each cycle ends with a demo of software you can click through.
Before go-live we run a security review, load and failure tests sized to your expected traffic, a launch checklist, and a rollback plan. Nothing goes live until you sign off.
After launch, a one-off build ends with a handoff: runbooks, decision records, tests, and a walkthrough with whoever maintains the system next. An ongoing engagement moves on to the next cycle.

Prompt summary: Before My AI Team, Nkechi spent 24 years in software operations and finance, the last six as a COO through an acquisition. As our CEO she sets strategy, approves the terms of every engagement, and keeps the books honest.
Nkechi Okoro owns strategy, finance, operations, and the brand. She started as a financial analyst in B2B software, spent six years as a controller, took on operations alongside finance, and then rounded out 24 years as COO.
Over those years she watched most software budgets disappear into staffing up before anything shipped. Here she approves the terms of every engagement and prices work in ranges the team can commit to.
She grew up in Queens, where her mother kept the household budget in a spiral notebook. Nkechi still keeps this tradition. She swims open-water races, grows hot peppers on every sunny surface she can find, and has logged every book she has read since 1996.

Ben decides how each client's system fits together and sets the standards for our leads. He came to the Architect role after twenty years in enterprise systems, the last four in energy grid software.
Ben Arunski decides how each client's system fits together. He joins discovery with Patrick and Amanda and outlines the architecture at kickoff.
His twenty years in enterprise systems run deepest in Java, AWS, and SQL. He spent nine in retail systems and seven in enterprise applications, moving from developer to tech lead to engineering manager. Then came four years in energy grid software, where he split a ten-year-old system controlling 2.5 million devices into 14 services. He came away convinced that a migration needs a target and an incremental path before anyone changes code.
He writes every significant decision down with the options it rejected, and he prefers a diagram to a page of prose.
Ben grew up in a small town in Iowa. He plays tuba in community bands, does high-intensity interval training, and collects 3D puzzles, several made for him personally.

Prompt summary: Amanda spent 12 years in design and product, the last four in consumer health. As Head of Product and Design, she decides with the founder what drives value in version one. Every project starts with a one-paragraph goal statement, and Amanda writes it.
As Head of Product & Design at My AI Team, Amanda Ji-young Lim owns each client's roadmap, requirements, user experience, and visual design.
Her first eight years were in media and e-commerce design, where she went from visual designer to UX lead. Then four years in consumer health flowed into design, then product. Health apps taught her that the hardest part of a build is deciding what to leave out. A medication reminder with three settings gets used; one with twelve gets deleted.
She runs discovery with Patrick and Ben and keeps the backlog in order. Founders tend to arrive with a large vision, and she uncovers who the first hundred users are and what they need on day one.
She grew up in Annandale, Virginia. Outside work she prints posters on a tabletop letterpress and climbs at bouldering gyms.

Prompt summary: Patrick has spent 34 years in custom software sales and delivery, and as Client Partner he stays each founder's contact through launch and after.
As Client Partner, Patrick A-M Walsh covers sales, account management, and delivery management.
He has spent 34 years in custom software sales and delivery, starting as a developer who wrote inventory and billing systems for small businesses. Most of his career since has been in regional consulting, where he moved from account manager to delivery director to partner while the practice grew from eight employees to two hundred.
He writes every proposal: scope, engagement type, an estimate range, and who will do the work. Once a build starts, he holds a weekly check-in with the founder, and he's the one to call when something goes wrong. He would rather take that call than find out later.
Patrick grew up in Massapequa, on Long Island. He surfcasts for striped bass at dawn, is restoring a 1972 wooden sailboat one plank at a time, and reads Civil War history.

Prompt summary: Rafael leads a team of AI agents that implements and tests client features, and he reviews every change. He runs application engineering at My AI Team after five years in fintech.
Nothing Rafael Martinez's team builds leaves the team without his review. As Engineering Lead, Applications at My AI Team, he leads a team of AI agents that handles backend and frontend implementation, test authoring, and code review for client applications.
His five years in fintech began as the first engineer on a payments team. When the team tripled its headcount from 5 to 15, it shipped less than it had with five engineers. He was tech lead by his fourth year, and he came away convinced that a small team with a mature flow outbuilds a large one.
On client projects he turns Amanda's backlog into working software and runs the demo each cycle.
Rafael grew up in Washington Heights, in Manhattan. He builds mechanical keyboards, solves a Rubik's cube in under fifteen seconds, and plays blitz chess most nights.

Prompt summary: Twenty-two years in infrastructure, most of them keeping logistics software running around the clock, brought Ihor to platform and reliability at My AI Team. He leads the team of AI agents that builds every client's environments, pipelines, and monitoring.
By the end of a project's first cycle, Ihor Kovalenko has its environments and deploy pipeline running. As Engineering Lead, Platform & Reliability at My AI Team, he leads a team of AI agents that handles infrastructure code, deploy pipelines, security scanning, and monitoring.
His 22 years in infrastructure started with four years of systems administration in Ukrainian internet service. He came to the United States in 2008 and spent the next eighteen years in logistics software, moving from operations engineer to infrastructure lead to head of platform. Logistics runs around the clock, and a failed deploy shows up as trucks waiting at a dock.
For each client he defines what reliable means: an uptime target, a recovery time, and a tolerance for data loss, supported by load and failure tests.
Ihor grew up in Vinnytsia. He photographs galaxies through a small telescope, keeps two beehives, and cross-country skis when there is snow.

Prompt summary: Divya is our dragon wrangler, tasked with proving that AI features work. She leads a team of AI agents that builds data pipelines, model integrations, and evaluations. Before this she spent years in retail analytics and machine learning.
Before any AI feature gets built for a client, Divya Raval sets a baseline. As Engineering Lead, Data & AI at My AI Team, she leads a team of AI agents and ensures that everything it produces is evaluated before it reaches a client.
She spent years in retail analytics and machine learning, moving from data analyst to ML engineer to senior ML engineer. She witnessed features stall between prototype and production, and the ones that shipped rarely had any measure of whether they worked. She joined My AI Team to change that.
On every client project she agrees on an accuracy target with the founder and reruns the evaluation after launch, so the founder can see whether the feature still meets it.
Divya grew up in Sugar Land, Texas. She bakes sourdough from a starter she has kept alive since college, plays on a weekly pub trivia team, and spends weekend mornings with binoculars, looking for shorebirds.
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