AI transformation, in plain terms
We help your company actually use AI. Then we find the people to run it.
What we mean by AI transformation: taking the work your business already does, finding the parts a machine can do safely, and putting the right people in place to make that real. Not a strategy deck. A working operation that looks different a year from now.
Why a recruiting firm does this: because the hard part is never the software. It's finding one person who owns the plan, and the specialists who build against it. That's a hiring problem before it's a technology problem, and hiring is what we've done for twenty-two years.
How an engagement runs
Find the change agent
One operator who will own the AI plan. Usually the first search.
Executive SearchWrite down what's allowed
A plain assessment: which data can go where, which can't.
Assessment, with Compliance in the roomPlace the people who build it
Engineers and analysts onsite, or a scoped build if the gap is a system.
Placement · Software EngineeringRun it where the data is safe
Private models on infrastructure we own if a public API isn't allowed.
BlueMeshA working operation
Same headcount line. Measurably different a year out. One person accountable throughout.
one person accountable for the whole AI plan
search, onsite specialists, engineering, private AI
the AI can run entirely inside your building
The problem we fix
Most companies have four AI projects and no AI plan.
This is what we find inside almost every firm we meet. Smart people in different departments each started something, nobody owns the whole, and nothing connects. The fix is a person, not a product.
Before4 pilots, 0 owners
Operations
Own pilotFinance
Own pilotCompliance
Own pilotIT
Own pilotFour teams, four tools, four sets of data rules. Nobody can say what the company's AI strategy is, because there isn't one.
After1 owner, 1 plan
Operations
In the planFinance
In the planCompliance
In the planIT
In the planOne person whose actual job is the AI plan. Every department's work runs through it. Compliance is in the room from day one, not called in at the end.
Find the change agent
An operator, not an engineer. Someone who learns how your processes actually work and turns that into a plan the business will back. This is the search we get called about most.
Write down what's allowed
Before anything is built: a plain assessment of what data can go where. Usually the thing that was blocking everyone.
Place the people who build it
Automation engineers, workflow analysts, and the risk and compliance hires that keep it defensible. Onsite, or fractional.
Run it where your data is safe
If your data can't touch a public AI service, we run the models privately on infrastructure we own. That's BlueMesh.
The four services
What we actually do, and when you'd use each one.
Every engagement is some combination of these four. Most start with the first.
Executive Search
We find and place the leader: the change agent, or the COO, Head of AI or VP who steers the change. Retained. Same partner from first call to day ninety.
Use it when: nobody owns your AI plan yet.
Placement
Specialists who sit with your team: automation engineers, workflow analysts, AI implementation leads, compliance and risk. Full-time, contract or a few days a week.
Use it when: you know the skill you're missing.
Software Engineering
When what you need is a built thing, not a hired person: integrations, automations, data pipelines. Scoped with a date and a named lead, delivered with NetStratum.
Use it when: hiring for it would take two quarters.
BlueMesh
Private AI: call summaries, document handling, compliance review, running on GPUs we own instead of a public API. Your data never leaves the building.
Use it when: "just use ChatGPT" isn't a compliant answer.
AI-assisted throughout. Human-decided at every point that matters.
Who this is for
If you're hiring, or if you're the person they're looking for.
For employers
- A written assessment first. Before we place anyone, you get a plain read on what can run where and who you actually need.
- The change agent search. Three to five people worth an offer, each scored against a profile you signed off on.
- Then the builders. Onsite specialists and, if the gap is a system, the engineering to build it.
- Private AI if you need it. Nothing goes to a public model unless you decide it can.
- Deepest in regulated work. Banking, mortgage lending, payments and receivables, and anywhere a regulator is downstream.
For candidates
- The roles we place. Change agents and Heads of AI, AI implementation leads, automation and workflow engineers, risk and compliance, and fractional Chief AI Officers.
- Who they're at. Banks, lenders, payments platforms and receivables firms that have decided to do this properly.
- Straight answers. You'll know the client, the pay range and our honest read on the role before you decide to interview.
- Your resume stays with us. It never reaches a client without your explicit yes.
- Not looking right now? Most of our placements go to people we already knew. Worth a conversation anyway.
The same thing, applied to hiring
We use AI in our own searches. Here's exactly where.
It would be strange to sell AI transformation and run a search on a spreadsheet. So here is one real search, step by step: the machine does the volume, a partner makes every decision that reaches you.
| What happens | When, across 21 days | Took |
|---|---|---|
Brief: we write the candidate profile with you A person. The partner and the client, together. | 1 hour | |
AI maps the market: 1,200 profiles found Software. Finds the people who'd never answer a job ad. | 3 days | |
AI scores each one against your profile Software. Shows its reasoning, not just a number. | 2 days | |
Partner reads the top 40 and calls 18 A person. Every single one. | 8 days | |
Written work-ups on the best 5 A person. Pay expectations, motivation, the honest read. | 4 days | |
You get the shortlist and decide You. | 3 days |
Illustrative timeline for a typical retained search. Yours will differ; the split between software and people won't.
Tell us where your company is with AI.
Four pilots and no owner? A plan and no builders? Data that can't leave the building? Any of those is a good reason to write. One business day. A real person.
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