How I'd build M Moser's three-part AI Tech Team
I wrote this for the AI Leader seat, from public signal only; month one would replace it with what your professionals ask for.
For two years at Execo, a 450-person legal-services firm, I ran the three functions this team is drawn from as one person. I built the central tooling (11 AI systems shipped or piloted across 6 departments), deployed them by sitting with the professionals whose processes they fixed (legal, customer success, sales, finance), and ran the support that kept them used: an internal time-and-margin app held ~70% weekly entry across 450+ staff as at April 2026.
M Moser is not starting from zero: the founders drove a firm-wide rollout and a generative-AI group (GAIA) already ships inside DIST. The three-part team moves that capability into live projects; the staffing order decides whether it does.
1. The order I'd staff it
Forward-deployed engineers come first
I'd make two hires, each embedded in one live project (one design-side, one in commercial delivery), carrying what the firm builds centrally into live project work. The order comes from Execo. First the Legal team and I evaluated a vendor suite; one module fit. I then rebuilt the capability in-house, and redline review ran ~50% faster on pilot. A central team specifying use cases from a distance would have bought the whole suite.
90-day brief: one working improvement per project, shipped inside its existing design reviews
The proactive help desk starts the same month
I'd hire one person, senior enough to say no. Adoption at Execo was engineered: an automated weekly compliance report and manager dashboards made usage visible; that held the ~70% weekly entry. The desk also feeds the platform: every question it logs is a backlog item, so the firm's actual friction sets what gets built next.
Measure: weekly actives per function, read at week eight
The central platform hires wait for repetition
If the platform team hires before the forward-deployed work shows what repeats, it builds shelfware. The rule I'd run: the second time an engineer builds the same thing for a different team, it moves into the platform as a governed, reusable component.
Trigger: a second occurrence across projects promotes a workflow to the platform
2. The gate between AI output and client work
The ad's line about strengthening judgement without weakening accountability reads to me as a build requirement. I'd write the governance rule this way: no AI output reaches client work without an eval it must pass and a named professional who owns it.
I run this mechanism today. My public SME-banking agent ships behind a 17-case eval suite it passes 17/17, with the results table public. At Execo the Legal team and I scored the model's green/amber/red risk calls against the senior attorney's own notes across roughly thirty redlined contracts over about five months. Each disagreement became a rubric update, and her sign-off stayed the gate.
The same gate holds whether the output is a redline, a project narrative, or a client-needs analysis: the professional who signs it keeps the final say.
3. The three numbers I'd report
Everything above answers the ad's own question: how does this help M Moser help clients better? I'd report three numbers monthly, per function.
Weekly active professionals. I'd count them from logs; licences and training attendance tell me nothing. My benchmark is the ~70% weekly entry above.
Hours returned to client work. I'd measure them per workflow against its pre-AI baseline. Benchmark: redline review ran ~50% faster on pilot.
Outputs validated against senior judgement. I'd track how many outputs a senior professional scored against her own call, and the disagreement trend. The benchmark comes from the attorney's roughly thirty scored contracts over about five months.
Before approving any build, I'd ask which of the three numbers it moves.
Two things I'd say plainly in an interview, so I'll say them here. I have run these three functions as one person; I have not yet led them as separate teams. I have held adoption through other people's authority: the ~70% weekly entry held because the reporting went to six service-line VPs and their managers, none of whom reported to me. And I know workplace design and delivery from the client side only. The sketch stays concrete because I have been each of the first hires and know where each fails. In month one I'd ask for one live project to host the first forward-deployed engineer, and agreement on the three numbers above.