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Workforce

Humans + AI, staffed as one team.

We embed vetted data, cloud, and AI engineers into your teams — engineers who join your standups and own outcomes, not vendors who take tickets. And we design the human-plus-agent operating model around them, so your people and your agents pull in the same direction.

3 screens architecture discussion, hands-on build, code review — every engineer vetted by practitioners
Weeks from squad definition to embedded start — not quarters
1 model humans + AI workforce: one operating model, designed together
Workforce modelWorkforce model: your team plus embedded AnovaCloud engineers plus governed AI agents form one squad, coordinated by shared rituals, with humans approving high-stakes agent actions. AnovaCloud human-plus-AI squad model embed govern shared rituals · one backlog YOUR TEAM domain owners product accountability EMBEDDED SQUAD vetted data · cloud · AI engineers your standups · your roadmap AI AGENTS governed · evaluated human-approved actions OPERATING MODEL who approves what · audit trail FIG. 01 — ONE SQUAD: HUMANS + AGENTS, ONE BACKLOG

Staffing and the operating model, designed together — not headcount plus a chatbot.

What we do

Workforce offerings

01

Embedded Engineers

Vetted data, cloud, and AI engineers who join your team — your rituals, your backlog, your definition of done.

  • Practitioner-vetted: architecture discussion, build exercise, code review
  • Outcome-accountable: embedded in standups and planning, not a ticket queue
  • Knowledge transfer baked in — your team levels up while we deliver
Build my team →
02

Build My Team

An interactive flow to define the squad you need — roles, seniority, duration — meet shortlisted engineers, and start in weeks.

  • Define the mission, not just the headcount
  • Meet engineers before they start — mutual fit, both ways
  • 2-week onboarding sprint into your rituals and codebase
Start the flow →
03

Agentic AI Workforce

Our flagship: the full human-plus-agent operating model. Which work agents do, which work humans approve, and how accountability flows between them.

  • Work decomposition: agent-suitable vs. human-judgment tasks
  • Approval topologies and escalation paths, designed not improvised
  • Staffing plan for both sides — engineers and agent builders
Explore the flagship →
04

Team Topologies & Enablement

For organizations restructuring around AI: team design, hiring rubrics, and enablement so the model sticks.

  • Team topologies for platform, product, and AI-agent teams
  • Hiring rubrics and interview loops for data/AI roles
  • Academy tie-in: train the team you're building
Design your org →

Engagement models

How workforce engages

ModelFormatBest for
Embedded engineer Monthly, per engineer Filling critical skill gaps on an active roadmap
Squad build 3–6 engineers, quarterly Standing up a new data/AI capability fast
Contract-to-hire Embedded period, then convert De-risking permanent hires

FAQ

Workforce, answered

Every engineer passes a practitioner-led screen: architecture discussion, hands-on build exercise, and code review of past work. We hire for judgment under ambiguity, not keyword matching.
The Build My Team flow is designed for weeks, not quarters: define the squad, meet shortlisted engineers, and start with a 2-week onboarding sprint into your rituals and codebase.
No. They join your standups, own outcomes, pair with your engineers, and are accountable to your roadmap. Ticket-taking is what you get from vendors; we embed teammates.
Our flagship practice for the human-plus-agent operating model: we design how agents and people divide work, what humans approve, and how accountability flows — then staff and build both sides. Learn more.
Yes — contract-to-hire paths are available after an initial embedded period, with terms agreed up front so there are no surprises.

Start here

Define the squad. Meet them. Start in weeks.

Tell us the mission and the gaps — we'll propose the team and the operating model around it.

Build My Team Talk to an Architect