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AI support and maintenance after go-live. Launch day is day one. We stay.

After go-live, our dedicated support and maintenance team runs your system on a monthly Run plan: monitoring, testing, cost caps, model changes and a quarterly board report.

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Ask Roo: What would support and maintenance look like after go-live?

OperateOur dedicated support and maintenance team keeps it running: monitoring, testing, cost caps, model changes and a quarterly board report.
Monitoring / Testing / Cost caps / Model changes
Routes to
FDE Pod (forward-deployed engineers), Roo
Checkpoints
Day 90 / Day 120 / Month 12

Tested before every change.

Our dedicated support and maintenance team runs it monthly from go-live: monitoring, testing, cost caps, model changes and a quarterly board report.

  1. Monitoring

    From go-live, the support and maintenance team monitors the agents, the integrations around them, and the cloud resources we deployed for them.

  2. Tested before every change

    Evals are tests on your own real cases: a fixed set of real requests from your business, run against every prompt edit, model update, and integration change. Providers retire models on their own schedule, so each new one runs against your evals before we switch. If a new version answers worse on your cases, it does not go out.

  3. Cost control per workflow

    Spend is tracked per workflow: usage, call volume, and which model each step uses. When a smaller model passes your evals, we switch.

  4. An audit trail

    Every agent action is logged with its input, its output, and who approved it when approval was required. Network security, IAM and endpoint security remain the exclusive responsibility of your team or your MSSP. An MSSP is a managed security service provider.

  5. Board-ready, every quarter

    The Run plan includes a quarterly board report.

  6. Free bug fixes

    Defects in what we build are fixed at no extra cost for the 12-month term.

Measured at day 90 or 120. Yours to keep at month 12.

Two dates the system is measured against the assessment, and one where you decide what happens next.

  1. Day 90

    Checkpoint for a small pod. The work is measured against the number from the assessment.

  2. Day 120

    Checkpoint for a large pod. Same measurement, more systems in scope.

  3. Month 12

    End of term. You hold the runbooks, the evals, the dashboards, and the audit log. Continue on the Run plan, hand it to your team, or split the work between them.

What usually goes wrong, and what we do.

UsuallyWith Webaroo
Launch is the finish line. The vendor's team is on the next project by the following week.Launch is day one of Run. Our dedicated support and maintenance team runs it monthly from go-live.
A provider retires a model, answers change, and your team finds out from a customer.Every model change runs through your evals first. A worse answer on your cases blocks the release.
The usage bill climbs every month and nobody can say which workflow is doing it.Spend is reported per workflow. When a cheaper model ships, we test it against your evals.
When you want to take it in-house, nothing is documented and the one person who knew it left.Every repository carries runbooks for deploying, rolling back, restoring, and changing a password or access key.

Where the work goes. The products this build runs through.

  • A dense pod seated inside your own company, wired to the systems it ships to.

    Your team / The pod / Production

    FDE Pod

    Engineers inside your business, building on the systems you run.

    Webaroo's FDE Pod is a pod of forward-deployed engineers who work inside your company and put AI to work on the systems you already run.

    See how a forward-deployed pod works
  • Roo is the cockpit a company runs its AI crew from.

    Roo

    Early access February 2027

    The Brain belongs to the company.

    Roo is the cockpit a company runs its AI crew from.

    See Roo

What we already run

Webaroo built the member platform for Vluxure and runs the technology behind the club.

What you keep

Everything the pod produces is documented and handed to you. Every repository carries runbooks for deploying, rolling back, restoring from backup, and changing a password or access key, plus a step-by-step for the day the site goes down. The eval set is yours. The dashboards are yours. The audit log is yours. If you ever decide to run it without us, that is a decision, not a project.

Where Roo fits

Roo is the cockpit a company runs its AI crew from. The crew works inside the company's own systems, under its rules. The Brain belongs to the company. From early access in February 2027, Roo runs inside every Run plan.

What owners ask before the first call.

Operating is the Run plan: our dedicated support and maintenance team runs everything the pod shipped, monthly from go-live. That covers the agents, the integrations around them, and the cloud resources we deployed for them, with monitoring, testing, cost caps, model changes and a quarterly board report.

Questions to ask before you hire an AI firm

Operating is the Run plan, monthly from go-live. Our dedicated support and maintenance team does it. Pods are a monthly fee on a 12-month term, with a checkpoint at day 90 for a small pod or day 120 for a large pod. There is no hourly billing.

How every pod is measured at day 90 or 120

We run the replacement against your eval set before anything moves. If it passes, we switch. If it answers worse on your cases, we hold the old model or route to another provider until a version passes.

How to pick a model vendor without betting the company

Roo is the cockpit a company runs its AI crew from. The crew works inside the company's own systems, under its rules. From early access in February 2027, Roo runs inside every Run plan.

Yes. Every repository carries runbooks for deploying, rolling back, restoring from backup, and changing a password or access key. The eval set and dashboards are yours. At the end of the term, handing it over is a decision, not a separate project.

Plan the launch and what comes after. A straight answer first.

The first paid step is your AI strategy, a 10-day AI readiness assessment: AI inventory, risk tiers, the top 3 workflows with today's numbers and a 90-day plan.

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