Outsourced AI Support

AI doesn't stop needing attention after launch

One of the most common mistakes businesses make with AI is treating it like a one-time project. Build it, launch it, move on. In reality, AI systems need ongoing attention to stay effective: prompts need tuning, workflows shift as the business changes, new automation opportunities emerge, and the AI tools themselves keep evolving.

Most small businesses can't justify a full-time AI hire to handle this. But they also can't afford to let their systems slowly degrade while everyone's attention is elsewhere. That's the gap Outsourced AI Support fills.

What ongoing support includes

• System monitoring and maintenance: We watch for errors, performance degradation, and unexpected behavior so problems get caught before they reach your team or customers.
• Prompt and workflow tuning: As your business changes and AI models improve, we refine the systems to stay accurate and relevant.
• New automation development: As we understand your business better, we identify additional automations that compound the value of what's already running.
• AI strategy advisory: We keep you informed about new tools, approaches, and opportunities that are relevant to your specific business, not just what's trending.
• Team support: When your team has questions or needs training on system changes, we're the point of contact.

Who this is for

Outsourced AI Support is designed for businesses that:

• Have already built automation systems and want them maintained and improved over time
• Don't have an internal technical team capable of managing AI systems independently
• Want an ongoing strategic partner for AI rather than a vendor who builds and disappears
• Are growing and need AI capabilities that grow with them

The difference between maintenance and active partnership

Most support arrangements are reactive: something breaks, you file a ticket, someone fixes it. Our outsourced support is different. We're proactive: monitoring performance, identifying new opportunities, and bringing ideas to you before problems develop or efficiencies get left on the table.

Clients on the support track often find that their second and third automations deliver more value than the first, because we've developed a deeper understanding of the business over time. That compounding knowledge is the core advantage of a long-term partnership over a series of one-off projects.

How it's structured

Support engagements are scoped as a monthly retainer, with the scope of work defined based on what's running and what ongoing involvement makes sense. We'll propose a clear structure at the start, and we revisit the scope regularly to make sure it's still a good fit as your business evolves.

What a typical month looks like

Retainer engagements vary in scope, but for a business running two to four active automations, a typical month looks something like this:

Ongoing engagement. We regularly check in on the teams using automations to ensure things are working as expected. Many times this can lead to new improvement ideas that we can help implement or train your team to build.

Regular check-in. Once a month, we have a working session with the directors, usually one hour, to review progress, discuss anything that's changed in your business that might affect your automations, and surface any new opportunities we've identified. These sessions keep the relationship active and make sure your automations are evolving as your business does.

Tuning and optimization. Based on feedback from the teams and the check-in conversation, we make refinements: adjusting prompt logic, updating integration mappings, handling new edge cases, improving output quality. This work happens in the background. You see the results without having to manage the process.

Advice when needed. We set aside a predefined number of support hours for your team to use when they need answers, guidance, or general help. Depending on the support agreement, we respond to inquiries within 24 to 48 hours so your team is not left waiting or unsure how to move forward.

New automation development. Most retainer clients add one or two new automations per quarter, building on the foundation of what's already running. Because we already understand your systems and business logic, new builds move significantly faster than the first one did.

Response and resolution expectations

When something breaks, you need to know how fast we'll respond. Our standard support terms for retainer clients: critical issues (automation down, data errors affecting customers) get a response within two hours during business hours and same-day resolution in most cases. Non-critical issues (output quality degradation, minor workflow gaps) get addressed within one business day. Planned improvements and new development are scheduled during regular check-ins.

We communicate status throughout. If a fix requires more than a few hours, you'll know why and when to expect resolution. We communicate proactively, without waiting to be asked.

When to start a support engagement

Most often the right time to move to ongoing support is at the end of a Guided Implementation, when your first automation goes live and you want it maintained and improved over time. Starting support at go-live means we're already fully up to speed on the system, the transition is seamless, and there's no knowledge gap to bridge.

That said, we also work with businesses that built automations with other partners and are looking for someone to take over management. In those cases, we begin with an audit of what's running. We review the systems, documentation, and recent performance before formally beginning the retainer. This typically takes one to two weeks and is priced separately from the ongoing engagement.

The 12-month arc

The value of an ongoing support relationship compounds in a way that one-off projects don't. Here's what the arc typically looks like across the first year:

Months 1–3. The automations you launched are running and being refined. Edge cases are being caught and handled. Your team is building confidence in the systems. We're tracking performance data and building a baseline.

Months 4–6. Based on what we've learned from the first automations, we identify and build the second generation: often 2 to 3 additional workflows that build on the infrastructure already in place. These come together faster and fit more cleanly with your existing setup because the groundwork is already there.

Months 7–12. The automation program starts compounding. Each new workflow benefits from the integrations and patterns established earlier. Your team has internalized how to work with the systems. The conversations shift from "how does this work" to "what should we automate next" and "what new ways can we use our data." By month 12, most clients are running significantly more automation than they planned when they started, generating significantly more ROI than their initial projections, and enabling growth at a faster pace than was previously possible without having to add additional staff.