AI agents that run a process
An agent can make decisions and act in business systems, so its permissions, approval rules and error costs must be defined before deployment. We scope it to a defined process: actions with business impact wait for approval, and every action is logged. From €6 000 net, 6–16 weeks to production, with a fixed quote before the contract.
In short
- Price and time
- from €6 000 net · 6–16 weeksa fixed quote based on process scope, integrations, autonomy, and risk
- Boundaries and trace
- State-changing actions wait for your approvalthe model picks the next step from the case; every action is logged for audit
- Before you pay for the whole thing
- The pilot must hit a written targeton your data, only then do you decide on the full rollout
Problem
A process cannot be handed to an agent until its permissions, escalation rules, and audit trail are defined.
Outcome
In 6–16 weeks you get a system that monitors sources, works in your tools and stops at the boundaries you set. State-changing actions are drafted for approval, and every decision is logged. From €6 000 net, with a fixed quote before signing. You commit to the full build only after the pilot on your data meets the written target.
Who is accountable
The same team builds and maintains every deployment.
They sign the build
- Artem LisovtsovFounder, Full-Stack & AI/ML Architect
- Serhii IvanchatenkoHead of Backend & AI Integrations
The same team and the same rules will work in your process. Start with a free scan.
Book a free process scan (30 min)This is how an agent runs one process.
From a signal in the source to the trace it leaves. The green line is the boundary the system does not cross alone.
- 01
Watches the sources
the agent sees a new case in the agreed systems
- 02
Decides within boundaries
it checks the rules and sets the next step inside the task scope
- 03
Works in the tools
it runs the action on minimum permissions, with a trace
Boundary gate
in-bounds actions move on, sensitive ones stop
Done within boundaries
the step is closed, with an auditable log
Exception to a human
an operation with production impact waits for approval
We set the boundary with you during scoping. A named owner on your side takes the escalations.
Security
What stops the agent if someone tries to hijack it at 3 a.m.?
Security rests on execution boundaries. The agent runs with production permissions, so a hidden instruction in an email or document can try to steer it through prompt injection. OWASP puts agent goal hijack, most often via prompt injection, at the top of its 2026 risk list for agentic applications. We require every instruction to pass the same permission, approval and trace controls.
OWASP 2026A hijacked agent still meets hard execution boundaries
Least privilege, read-only first.
ToolsA hard "never" list enforced in code; external content is data rather than a command.
BoundariesIrreversible steps wait for human approval.
EscalationEvery action logged and replayable.
TraceThese are four of the same nine criteria that separate an agent from a mock-up. Boundaries are not an add-on to security: they are the security.
Tested in a running system
When an action carries higher risk, the system pauses the case and asks for a second approval. Until approval, it retrieves no credentials and makes no call to the target system. A person remains in control of execution.
For each project, permissions and approval rules are defined around the client's specific process.
See the approval mechanismData & compliance
An isolated, agreed environment: data does not leave it without your consent. Operations with production impact wait for human approval, and every action stays in an auditable log. Trace, human oversight and monitoring are modeled on the EU AI Act regime and provided as input to your operator documentation; classifying the system and its compliance stay on your side.
What ships with the agent.
- An agent handling a defined process within set boundaries and escalating exceptions
- An operator panel: live view, manual approvals, a stop and a log of every decision
- Integrations with your systems on minimum required permissions
- An isolated runtime: data does not leave the agreed environment without your consent
- A hard boundary between data and instructions: content the agent reads from sources is treated as data to assess, never as commands to execute
- Monitoring, alerts and handover documentation for your team
Not for
- Autonomy without boundaries or an owner on the company side
- Build work without a signed scope
Nine criteria every one of our agents meets.
The trust frame
Entry price
from €6 000
Delivery window · 6–16 weeks
Price follows the process scope, integrations, autonomy, and risk.
You get a fixed quote in the proposal after the free scan. You know the full cost before signing, with no hidden items.
What drives the price
- The number of data sources and integrations
- The scope of autonomy and the complexity of rules and exceptions
- Security, consent and trace-audit requirements
Cost over time
- Implementation buildfrom €6 0006–16 weeks
- Maintenance and oversightpriced individuallymonthly
Cost to run
Cost follows the number of cases, steps, and tools involved. We control it by reusing stable context, choosing simpler methods for routine steps, and routing a case to a person when it reaches its limit. The proposal includes an expected cost per completed case and a monthly cap.
Gartner commentary reported by CIO Dive, 2026First the pilot has to hit a written goal. Only then do you pay for the full build.
What if it doesn't work
You've seen a demo that looked great and died in production.
You're not buying a demo. The pilot on your data has to reach a quality bar written down before we start, or we don't move to the full build.
The price will creep during the project.
You know the fixed quote before the contract, with no hidden items. You pay for the work rather than the number of agents.
We'll get locked into one vendor.
The code, prompts and data stay with you, on your infrastructure if your security rules require it.
What if it turns out we don't need an agent?
If the process doesn't meet the nine criteria, we say so plainly and don't build it. Either way you keep a written summary after the scan.
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 formAgent questions
Does my process need an agent?
Not necessarily, and that's good news. If an automation or an app can handle the process, we recommend the cheaper form. An agent makes sense when the process needs multi-step decisions and work across several tools at once.How do you keep control of an agent in production?
The same nine criteria the agent meets at launch keep applying in production: every action shows up in the panel and the log, and operations with production impact wait for human approval. After launch the system runs under maintenance.Is our data safe and GDPR-compliant?
Data is processed only in the environment we agree on, in the EU by default, and the scope of access is written down before we start. Where personal data is involved, we sign a data processing agreement (GDPR). The system gets the minimum permissions it needs, and only the assigned engineers have access.How is this different from a plain automation or other vendors?
An automation runs a fixed path; an agent makes decisions across multiple steps and tools at once, which is why it costs more and why we hold it to nine criteria. Our pricing is open from the start: we show the band here and a fixed quote in the proposal after the scan, with the system's boundaries written down explicitly.How much does an AI agent cost?
Implementations start at €6 000 net. Price follows the process scope, data sources, integrations, autonomy, risk, and audit requirements. The proposal gives you a fixed quote before signing.How long does an agent build take?
Usually 6–16 weeks from contract to production, depending on the number of integrations and approval paths. The timeline is part of the proposal and is not settled mid-build.Can an AI agent keep a company operating 24/7 without a night shift?
An agent can run a defined, repeatable process around the clock: accepting cases, completing safe steps, and routing exceptions to an on-call person. Decisions with business impact still wait for human approval. Examples include customer service, hotel operations, and IT help desk.
What if it doesn't work in our process?
At the scan and before launch we set a quality threshold and a baseline, so the result is measured against something concrete. If the process doesn't meet the nine criteria, we say so plainly and don't build the agent; after the scan you keep the written takeaway whatever you decide.
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.