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An AI agent doesn't stay the same system it was on day one — it learns, its skills change, and its environment shifts around it. We keep watching after deployment so a small problem gets caught in a routine check, not discovered the hard way.
An agent's safe configuration on day one is a snapshot, not a guarantee. It accumulates memory, updates its own skills, and keeps whatever access it was granted — none of which stays fixed unless someone is checking. That's the actual job here: not securing an agent once, but confirming on a schedule that it's still the agent you configured.
If another vendor deployed your agent, or you set it up yourself, we can still take on the ongoing monitoring. The audit discipline — memory review, skill re-vetting, patch tracking, rebuild readiness — doesn't depend on who did the original setup, only on whether anyone's doing it now.
Most "rebuild plans" exist as a paragraph in a doc nobody's opened since it was written. We keep ours current and periodically confirm it actually works — so if an agent's state ever needs to be wiped and restored, that's a documented process you've already seen succeed, not a first attempt under pressure.
The harness and whatever it runs on both need patches applied on a real cadence, the same as any other system with access to your business. We track releases for what you're running and apply them on schedule, instead of leaving "we should probably update that" as a permanent line on someone's to-do list.
The same discipline we bring to a client's agent is the one we hold ourselves to. Handybots reviews and version-locks every capability our own agents can use, and we've caught real drift in our own systems through the exact kind of independent audit we run for clients — including a translation error our own review process caught before it went live.
Hover each card to see the real results DMV businesses have seen.
Handybots' own site — an independent audit sweep across every translated record found zero that had silently fallen out of sync with its source.
Handybots' build pipeline — every capability our own agents can use is version-locked and re-reviewed on an ongoing basis, not approved once and forgotten.
A real translation typo introduced mid-session was caught by the review pass before it reached the live site — the exact failure mode ongoing monitoring exists to catch.
HandyProductEngine — our own product platform keeps five active project contexts under the same monitoring discipline we offer clients.
We'd love to hear about your current challenges and goals.
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Focus: Baseline oversight for a single agent — a monthly check-in that catches obvious drift before it becomes a problem.
Key Features:
Ideal For: A single, low-risk agent that doesn't need daily attention, but shouldn't go unchecked indefinitely.
*The scope is different for every project
* Pay a flat fee or per attendant. 0% Financing available through Affirm
Focus: Regular, active oversight for an agent doing real production work.
Key Features:
Ideal For: Agents relied on daily, where a quiet problem left unchecked for a month is a real risk.
*The scope is different for every project
* Pay a flat fee or per attendant. 0% Financing available through Affirm
Focus: Close, frequent oversight with fast response when something looks wrong.
Key Features:
Ideal For: Agents with broad access, or handling anything sensitive enough that a delayed response actually matters.
*The scope is different for every project
* Pay a flat fee or per attendant. 0% Financing available through Affirm
As your business evolves, your systems should too. We offer continued support, optimization, and updates to keep everything running smoothly and aligned with your growth.
Our team can either guide your team through the implementation process or take on the heavy lifting of handling setup, automation builds, deployment, and system integrations; making the transition as smooth as possible. We listen closely to your team's feedback to ensure everything functions as intended.
We present a tailored plan based on your priorities, then refine it together to ensure every solution aligns with your goals, tools, and team. This collaborative step ensures clarity, confidence, and buy-in before implementation begins.
We visit your business (virtually or in person) to observe how work gets done, identify bottlenecks, and map out opportunities for automation. This hands-on insight allows us to design automation solutions that actually fit your team's rhythm and needs.
We begin by understanding what matters most to your business—whether it's saving time, improving customer experience, or boosting revenue. Clear goals help us design the right digital solutions from day one.
We'd love to hear about your current challenges and goals.
We offer reduced pricing for mission-driven organizations running an AI agent on a tight budget — monthly audits and a rehearsed rebuild plan, without a fee structure built for a business twice the size.
Focus: Coordinated oversight across multiple agents or a full deployment, with one point of accountability.
Key Features:
Ideal For: Businesses running several agents at once, where the real risk is losing track of which one needs attention.
Focus: Close, frequent oversight with fast response when something looks wrong.
Key Features:
Ideal For: Agents with broad access, or handling anything sensitive enough that a delayed response actually matters.
Focus: Regular, active oversight for an agent doing real production work.
Key Features:
Ideal For: Agents relied on daily, where a quiet problem left unchecked for a month is a real risk.
Focus: Baseline oversight for a single agent — a monthly check-in that catches obvious drift before it becomes a problem.
Key Features:
Ideal For: A single, low-risk agent that doesn't need daily attention, but shouldn't go unchecked indefinitely.
