Senior engineers, embedded. AI that gets through review.
Twenty years of engineering delivery and quality assurance, with a person accountable for every output. Our engineers join your team, take one AI use case, get it past review, and stay through the rollout. Staffing has been the base since 2005.
The record the AI work stands on
20
Years of delivery for risk-conscious clients
5+
Years the typical client relationship runs
18
Years with our longest client
Shipping one AI use case with the team you already have
That team built it, and that team is vouching for it. Every version of that stops at the same gate. IDC, in the Lenovo CIO Playbook 2025, put 88% of AI proof-of-concepts as never reaching wide deployment.
Two to four weeks names your blocker.
You get the blocker named, a prioritized path, the first piece of work scoped, and a clear picture of what is already running.
Your team signs off on its own work.
- The person who built the agent is the person certifying it.
- That sign-off carries no weight with legal or risk, so the pilot never fails review and never clears it.
The AI work gets squeezed in.
- Maintenance wins every week, so the AI work slides a quarter at a time.
- Nobody owns the slide, so it shows up as a roadmap that keeps moving.
You build alongside the old system.
- The demo never touches the system of record, so it never reaches production.
- The work gets done twice, and the second time is the expensive one.
A named engineer signs the work.
We staff it, we build it, we get it past review, and we stay while your people start using it. Staffing has been the base since 2005.
AI
Agents are running and nobody can prove they work.
Your finance team built one. HR built another. Nobody is monitoring them. The people writing the code are the ones certifying it. The engineer who checks the work did not build it.
Staffing
The AI build is stalled because there is nobody to run it.
The budget shrank and the production load did not. Senior engineers join your repo and your standups, and one use case goes live this quarter. You judge us on shipped work.
Consulting
The platform underneath is not ready for the AI work.
You cannot build AI on a system you are afraid to touch. We plan the upgrade against a date already on your calendar. Then the real question. Do your systems agree on what is true?
Staffing
Engineers lead the change while they build it.
Senior engineers in your repo, reviewing and handing off the same day, judged on shipped work. Running the rollout is part of the job, so what gets built gets used.
AI
One partner runs it from the assessment to production.
A named engineer signs the assessment that says what to do first. Then our engineers take one AI use case live in a real workflow and run the rollout that gets it used, staying on it through month three.
Built for systems that are too critical to fail
The work looks the same wherever your stakes are high. A system nobody wants to touch, a review gate nothing gets through, a team already committed to keeping production up.
Warehousing and Freight
The exceptions live in one dispatcher’s head. It works until that person takes a day off.
Wholesale Distribution
EDI covers the largest accounts. The rest arrives by email, gets keyed in twice, and ships as a fill rate nobody can explain.
Food and Beverage
The recall question comes and the trace runs through one person and a spreadsheet. The regulator’s window does not move.
Healthcare Practices
Every change has to pass audit before it touches patient care. The EHR does what it does, and no more.
A good fit
You are US-headquartered with a real engineering or IT function. You are already building and stuck getting it past review, or stuck for hands. Your systems are too critical to fail.
Not a fit
You have nobody on the inside to work with. You are shopping for the cheapest hands. Your AI ask has no workflow behind it, so there is nothing to test.
The record
“Perform is my first choice out of all vendors I have used for performance testing.” Frank Kamely, Director of IT Testing and Automation, CommScope.
Staffing came first, and it made the AI work possible
At one payments platform, engineers we placed years ago now advise that company technical organization on AI.
Start with a conversation
Thirty minutes with the person who would do the work. Bring the pilot that stalled or the role you cannot fill, and you will leave knowing what it takes, including the parts we would decline.