beyond data
    Embedded Build Team

    A senior AI engineer inside your business in weeks, shipping production-grade from day one.

    Embedded Build Team before and after

    An Embedded Build Team places a senior Beyond Data engineer full-time inside your business for a fixed 8 to 20 week engagement. They scope, design, build, and ship a production-grade AI system end-to-end, with tests, monitoring, and runbooks from the first commit. Faster than hiring, lower commitment, and backed by the full consulting team when they need it.

    The Problem

    What usually breaks

    You have a funded AI project, a clear use case, and no engineers to deliver it. The board has signed off. The business sponsor is waiting. You have been quoted 6 to 9 months to stand up a team, and that is before the first line of code gets written.

    Hiring is the obvious path, and it is also the slowest. Write the JD. Post it. Interview people who have titles but no shipping history. Make an offer. Wait out a three-month notice period. Onboard. Pick a tech stack. Then start.

    By then, the moment has passed. The sponsor has cooled. Another priority has taken the oxygen. The project that had a clean runway 9 months ago is now a line item being questioned in the budget review. You did not fail to build the team. You ran out of time trying.

    How It Works

    The engagement, step by step

    1. 1

      Scope call on Monday. We align on use case, success criteria, systems in scope, and the definition of done.

    2. 2

      Engagement starts the following Monday. Laptop issued, access provisioned, first day on-site.

    3. 3

      Weeks 1 to 2: embed in the business, pressure-test the scope, agree the architecture.

    4. 4

      Weeks 3 to 6: build the first slice, demo weekly to real users, iterate on what they actually do.

    5. 5

      Weeks 7 to 12: harden for production, integrate with the systems of record, load-test against real volumes.

    6. 6

      Final 2 weeks: handover, documentation, runbooks, and the optional support path locked in.

    7. 7

      Engagement ends with a production system, not a prototype. Nothing to productionise later.

    Capabilities

    The capabilities behind this

    Forward Deployed Engineers

    A senior engineer inside your team for a fixed engagement. They sit with your operators, build against your real data, and ship it.

    Learn more

    AI Development

    AI agents, chat interfaces, and multi-agent systems, built end to end by the engineer who scoped them. Deployed, monitored, and handed over.

    Learn more

    AgileData Platform

    One governed data platform across your ERP, CRM, finance, and operational systems. We build it, we run it, and it is live in two weeks.

    Learn more
    Outcomes

    What changes once this is in

    A system in production in weeks

    A full-time embedded engineer moves faster than any part-time model or hiring process. Scope call Monday, engineer next Monday, first demo week 4, production by week 10 on a typical engagement.

    Production discipline from day one

    Tests, observability, monitoring, and deployment pipelines from the first commit. Not bolted on after go-live. The system that ships is the system you can run.

    Faster than hiring, lower commitment

    A senior engineer embedded in 1 to 2 weeks, versus 6 to 9 months recruiting for a role that may not survive probation. Fixed duration, fixed scope, no long-term headcount commitment.

    Clean handover, no orphaned system

    Final two weeks are spent writing runbooks, shadowing your ops team, and locking in an optional support path. When the engagement ends, somebody in your business or ours can run the thing.

    Week by week

    What the engineer actually does, week by week

    PhaseWeeksWhat the engineer is doingWhat you see
    Embed1 to 2Scoping interviews with the sponsor and end users. Architecture design. CI/CD pipeline, test harness, and observability scaffolding stood up on day one.A written scope doc, an architecture diagram, and a running pipeline with a hello-world deploy.
    Build3 to 6First functional slice of the system. Weekly demos to real users. Tests written alongside the code, not after.A working system used by real people by week 4. Weekly demo recordings.
    Harden7 to 12Iteration on user feedback. Integration with systems of record. Load testing, error handling, cost controls, and security review.A production-ready system passing your change advisory board and security sign-off.
    HandoverFinal 2Runbook writing. Documentation. Shadowing your ops or internal engineers. Locking in the optional support path.Runbooks your on-call person can follow, documentation your next engineer can read, and a clear support arrangement.

    Engineering discipline is concrete from the first commit: version-controlled infrastructure, automated tests running on every push, structured logs, metrics, alerting, and deployment pipelines that roll back on failure. You get the standard of a senior in-house team, without building one.

    Slow vs embedded

    Slow path vs embedded path

    Slow path vs embedded path
    In Your Business

    How this lands inside your operation

    A senior Beyond Data engineer joins your standups, gets issued a laptop or a VPN token, sits with your business sponsor in week one, and starts scoping. By week four they are demoing a working slice to the people who will use it. By week ten the system is in production, running on your infrastructure, with a monitoring dashboard your ops team can actually read and a runbook your on-call person can actually follow.

    This is not an offshore contractor. It is not a staff aug body-shop. It is one named senior engineer with the full Beyond Data toolkit, the engineering standards we apply across every client, and the rest of the consulting team on the other end of a Slack channel when a harder problem lands.

    This is for you if…

    • You are a CIO, head of engineering, or COO with a funded AI project and no in-house engineering team to ship it.
    • You have been quoted 6 or more months to recruit a team and you do not have that runway.
    • You want speed without giving up quality. Production discipline matters as much as velocity.
    • You have a specific use case, not a research question. The scope is clear enough to embed against.
    • You want one named senior engineer accountable, not a rotating cast of faces.

    This probably isn't the right fit if…

    • You need a permanent headcount. This is a fixed engagement, not a hire.
    • You do not yet have a scoped project. Start with AI and Data Strategy or a Roadmap first.
    • You want the cheapest pair of hands on the market. Offshore staff aug is a different product.
    Common Questions

    Frequently asked

    Let's talk about Embedded Build Team.

    30-minute call, no slides, no obligation. We'll tell you plainly whether this is the right fit for what you're trying to do.

    See how Forward Deployed Engineers work

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