Repeated requests and night-time diagnosis take hours from the work only people can do. AGENTIKO takes on the repetition. Your team keeps the judgment.
Start from a profile
1 339hours a year back for the work only people can do
From repeated requests1 296 h
From incident diagnosis43 h
Requests served without a queue864 a year
Hours of disruption avoided36 h
€ 440 352a year, in disruption avoided and time redeployed
Disruption avoided€ 360 000
Engineering time redeployed€ 80 352
Return on the licenceEnter a licence cost
PaybackEnter a licence cost
Show the formula
From requests = requests × 12 × repeat share × hours each = 1 296 h
From diagnosis = incidents × 12 × hours to diagnose × share = 43 h
Without a queue = requests × 12 × repeat share = 864
Disruption = incidents × 12 × hours saved = 36 h
Budget = disruption × € an hour + hours back × € an engineering hour
Return = (budget − licence) ÷ licence
Payback = licence ÷ (budget ÷ 12)
EstimateCalculated from your inputs. Defaults are board estimates, not measurements. Every change still waits for a person.
Copied. Paste it into an email.
Repetition goes to the platform. Judgment stays with your people.
Check these numbers on your own platform.
A hosted sandbox with a sample company, then your own cluster.
Illustrative customerA composite built from situations we meet often. Not a named customer. Figures are assumptions for illustration.
The integrator with forty clients and one platform practice.
Every client is a different estate, and the best fixes live in the heads of a few senior engineers.
40
client environments under contract
3
targets: Azure, AWS and OpenShift on premises
12
engineers in the platform practice
24/7
managed services with contractual response times
Friday, 17:40
Client 41 signs.
AGENTIKO does the work
Reads the new client’s estate, its clusters, Terraform state and pipelines, maps it to the practice’s blueprints and drafts the onboarding as one change request in the client’s git.
A person decides
Your lead architect reviews the plan on Monday morning and merges it. Onboarding starts the same day.
Tuesday, 03:12
A client’s checkout restarts in a loop.
AGENTIKO does the work
Diagnoses inside that client’s perimeter, under that client’s policies. Prepares the cause, the evidence and an ordered fix, and drafts the client’s morning report.
A person decides
Your on-call engineer approves from the phone. The client reads who decided, and on what evidence.
Thursday, 02:00
The same fault, eleven more times.
AGENTIKO does the work
The nightly review finds the same health-check fault in eleven other client environments and proposes the fix as a blueprint update for each of them. It ships inert.
A person decides
Your practice lead chooses which clients receive it, and when.
Your best architect’s judgment, applied to every client.
Onboarding becomes a change request, reviewed once and repeatable for the next client.
Night work arrives prepared: cause, evidence and fix, inside each client’s rules.
Every fix becomes practice know-how, written as a blueprint the whole practice can reuse.
Illustrative customerA composite built from situations we meet often. Not a named customer. Figures are assumptions for illustration.
The software house selling one product as SaaS and on premises.
Developers wait for environments, and every regulated customer who installs on premises turns a release into a project.
180
developers in nine product teams
300
customers on the SaaS edition
25
on-premises installs in banks and public bodies
5
engineers in the platform team
Monday, 09:10
A team needs a preview environment.
AGENTIKO does the work
A developer asks in a sentence. The agent follows the golden path the platform team approved: namespace, database, pipeline and a preview address, validated before it applies.
A person decides
The platform team approved the path once. Every order after that runs inside it, and anything outside it comes back as a proposal.
Wednesday, 11:00
Release 7.4 must reach a bank’s datacenter.
AGENTIKO does the work
Drafts the install for that bank’s target, names every key it needs without reading any, and runs a server-side dry run against the bank’s own policies.
A person decides
The bank’s administrator approves in the bank’s git. The secrets stay with the bank.
Saturday, 22:05
A tenant’s API slows down.
AGENTIKO does the work
Correlates logs, metrics and the tenant’s declaration, cites the file it read and proposes the fix with its rollback.
A person decides
The developer on call approves, verifies, and goes back to Saturday night.
Product engineers spend their hours on the product.
Environments on request, inside a path your platform team designed.
One release, SaaS or sovereign: the same declaration, adapted and validated per customer.
Weekend incidents arrive explained, with the evidence a developer can check in minutes.
Illustrative customerA composite built from situations we meet often. Not a named customer. Figures are assumptions for illustration.
The public operator serving sixty entities from two datacenters.
The entities want cloud speed, the law wants the data at home, and the hypervisor renewal grows every year.
60
public entities served as tenants
2
datacenters inside national borders
4,000
virtual machines on a licensed hypervisor
1
GPU cluster shared for AI projects
First quarter
Leaving the hypervisor, one wave at a time.
AGENTIKO does the work
Inventories machines and their dependencies, groups them into migration waves towards Kubernetes and Proxmox, and drafts each wave as a change request with its rollback.
A person decides
Your operations lead signs each wave. Every move has a name next to it.
Any working day
An entity asks for a new environment.
AGENTIKO does the work
Drafts it from the service catalogue. Residency, quotas and network rules are enforced by the control plane before anything applies.
A person decides
The entity’s owner approves. The platform refuses whatever the rules forbid, whoever asks.
Every night, 02:00
The GPU cluster learns from the day.
AGENTIKO does the work
The nightly review reads queue telemetry and the day’s incidents, then proposes alerts, sizing and documentation changes. It holds no tools.
A person decides
Your capacity planner reads the proposals with the morning coffee and adopts what makes sense.
A sovereign cloud catalogue, with the record an auditor asks for.
Exit at your own pace, wave by wave, each one signed and reversible.
Self-service inside the law: rules are enforced by the platform, not by memory.
Shared GPUs that improve from their own telemetry, one approved proposal at a time.