AI agent maintenance in production
A named engineer is accountable for the agent in production. Each month they review its action history, investigate unusual cases, adjust the rules, and prepare a report with an agreed response time and cost per completed case. Scope and price are set individually.
In short
- Billing
- Quoted individually, monthlyby the work rather than the number of agents; full cost before signing
- Every month
- Logs, edge cases, fixes, a reportwe catch them before the board notices
- What the report shows
- Regression monitoring and cost of a single requestso the model bill stays predictable
- Only for
- Systems with logs and an ownerwithout a trace an agent cannot be run responsibly
Problem
An agent works until something changes. An exception nobody planned for shows up. An integration fails quietly on a Saturday. A stale rule starts posting an invoice to the wrong account and nobody notices. Small errors pile up for weeks, until someone on the board asks why the numbers don't add up, or why the model bill went up.
Outcome
A named engineer reviews the action history, finds unusual cases, and adjusts the rules before a problem affects the process. Each month you receive a management report: what the system did, which cases went to a person, what changed, and the cost per completed case. Maintenance is priced individually after the scan.
Who is accountable
We maintain systems we built ourselves, running for clients today, from lead intelligence in real estate to inbox triage at about 3,000 emails a month.
See the case studiesArtem Lisovtsov
Founder, Full-Stack & AI/ML Architect
Serhii Ivanchatenko
Head of Backend & AI Integrations
This is a month of maintaining an agent.
We don't wait for an outage. Every month we run the same cycle, with approvals marking what the system may never change alone.
- 01
We read the logs and alerts
monitoring gathers what the agent did and where it behaved unusually
- 02
Edge-case analysis
we catch new exceptions and cases the rules don't cover yet
- 03
Correcting rules and boundaries
we fix prompts, rules and integrations before they become outages
- 04
Monthly work report
what the agent did, what it escalated and what we fixed, in plain language
Correction within bounds
an instruction, threshold, or rule fixed without changing the production effect
Change with production impact
a new action or wider boundary waits for approval from a human on your side
We set the boundary beyond which a change needs approval in the maintenance contract. The system does not widen its own permissions.
What a month of care covers.
- Monitoring and alerts: we know about most problems before your team reports them
- A bug-fix SLA in your contract, with an agreed scope of small changes
- A monthly review of unusual cases, with instruction and rule corrections
- Version changes: before a provider retires a version, we check its successor on a fixed set of cases and compare behavior
In production
When changing the environment, we first recorded how the existing system behaved, then compared the new version step by step. Traffic stayed on the old version until the process owners resolved the open differences. The return plan was ready before the switch.
Agent environment migration - A monthly agent work report: what it did, what it escalated, what we fixed
- Cost under control: the report shows cost per completed case, while simple rules remove work that does not require AI
- Engineering hours for boundaries, escalation and integrations as the process changes
- One client's data kept separate from others, a dedicated VM on request
Data & compliance
One client's data kept separate from others, a dedicated VM on request, human oversight on production-impact actions, and monitoring in the spirit of Art. 72 of the EU AI Act: every action leaves an audit-ready trace.
Not for
- Agents built without logs or an owner: without a trace they can't be run responsibly
- Companies that won't allow monitoring of how the system behaves
- One-off advice without continuous responsibility for production
- A system we're not allowed to inspect or change
How much care does your agent need?
Maintenance
priced individually
What it covers
Hosting, monitoring and alerts, an agreed response time with a small-change pool, a monthly review of unusual cases, plus engineering hours for boundaries, handoffs, and integrations.
What it costs
priced individually
ongoing oversight · Maintenance and oversight · monthly
You pay for the level of care the system requires.
We price maintenance individually, after the free scan. You know the full cost before signing, with no hidden items. Over a year it is typically a fraction of the build cost.
What drives the price
- The number of systems and integrations under watch
- Process criticality and the required response time
- The scope of changes and engineering hours per month
- Security, consent and audit requirements
Free process scan
Start with a free process scan.
- A 30-minute call with the engineer who would lead the work.
- A review of the processes that cost you the most time and money.
- A written summary of what to automate first and the likely cost range.
The scan is free and creates no obligation. If automation is unlikely to pay off, the written recommendation will say so.
€0
30 minutes · written takeaway within 2 business days
Times are shown in your own time zone. We work with clients across time zones.
Describe the process in the formMaintenance questions
Do you maintain an agent someone else built?
Yes, provided the system has an action history and a technical owner. We begin with a short audit that identifies the required additions and a safe handover plan.What exactly do you do each month?
We read the logs and alerts, analyze the edge cases and correct rules and boundaries. At the end you get a report: what the agent did, what it escalated to a human and what we fixed. The steady cycle means outages are not how you learn there is a problem.What does the monthly agent work report look like?
A few pages in plain language rather than a console dump. It shows what the agent handled, where it stopped and handed a case to a human, and which corrections we made. You can show the document to the board or an auditor.What if the agent starts making mistakes between reviews?
Monitoring and alerts catch unusual behavior early, so we usually know about a problem before your team reports it. Response time and the scope of urgent fixes are written into your contract instead of decided ad hoc.How much does AI agent maintenance cost?
Maintenance price follows the number of systems, process criticality, and scope of change. You know the full cost before signing, and we define the scope after the free scan.Do you track model cost, and can the bill blow up?
Yes. The monthly report shows cost per completed case alongside completed work and cases handed to a person. Simple rules remove work that does not require AI, and we can set a monthly cost cap on request.Is my data safe?
Each client's data is isolated, only assigned engineers have access, and transmission and storage are encrypted. Personal data processing is covered by a data processing agreement (GDPR), and the environment stays the one agreed during deployment, in the EU by default.Can I cancel, and what's the notice period?
Yes. Maintenance is a monthly contract with a simple notice period written into the agreement, no multi-year lock-in. The logs, documentation and configuration are yours, so you can take the agent over yourself or hand it to another team.
The scan ends with a written recommendation.
- A 30-minute call with the engineer who would lead the work.
- A review of the processes that cost you the most time and money.
- A written summary of what to automate first and the likely cost range.
Times are shown in your own time zone. We work with clients across time zones.
The scan is free and creates no obligation. If automation is unlikely to pay off, the written recommendation will say so.