2026 · 40+ agents shipped · 12 live now

We build
and deploy
AI agents
inside your company.

Kiz8 is an AI integration partner — not a platform, not a SaaS. We embed with your team, design the agent, ship the code into your stack, and keep it running.

▸ First agent in production · 6 weeks · fixed-price discovery

/ integration_journeyclick a step →
01
Discovery
duration · 1–2 wks

We sit with your team. Map data, map pain, map where agents actually move the needle.

Data auditRisk mapStakeholder map
AGENTS.SHIPPED · 40+ LIVE NOW · 12 AVG TIME-TO-PROD · 6W INDUSTRIES · 7 ON-CALL P1 · < 15 MIN EU / US / CIS REPO-OWNED · YOUR ORG ROLLBACK · 1-CLICK AGENTS.SHIPPED · 40+ LIVE NOW · 12 AVG TIME-TO-PROD · 6W INDUSTRIES · 7 ON-CALL P1 · < 15 MIN EU / US / CIS REPO-OWNED · YOUR ORG ROLLBACK · 1-CLICK
Kiz8 · by the numbers
Projects shipped0+
Agents in production0
Client industries0
Avg. time to first agent0 wks
01

/ services

Five disciplines
one integrated delivery.

/ autonomous · task-specific

AI Agents

We design and ship production agents that own a workflow end-to-end — triage, decide, act, escalate. Typed, observable, rollback-safe.

we deliver
Fraud triageOps copilotsDoc processingSales qualification
02

/ process

How we work
five steps, one team.

01

Discover

1–2 weeks

Sit with your team. Map data, pain, ROI. Walk out with a ranked use-case list.

02

Architect

1 week

Blueprint the agent. Models, tools, decision flow, guardrails.

03

Build

4–8 weeks

Typed code, reviewed in your repo. Replayable pipelines. Observable agents.

04

Integrate

1–2 weeks

Wire into CRM, ERP, data lake. Your infra, our agents.

05

Operate

ongoing

Monitoring, drift, incident response. 24/7 with your team on Slack.

03

/ case_study

FraudShield · Nordic Bank

/ context

Nordic Bank's fraud desk reviewed every high-value transaction manually. Queue lag reached 40 min; false-positive rate sat at 28%. They needed a triage agent that could clear the easy cases and escalate the hard ones.

/ what_we_built

Autonomous agent reading transaction + counterparty + device + behavioral signal. RAG layer over 8 years of resolved cases. Two-tier confidence: auto-clear, auto-flag, or escalate with annotated reasoning.

AI AgentsRAGMLOps6 weeks
Manual review reduced
100%28%
−72pp
False-positive rate
28%4.2%
−23.8pp
Queue lag (p95)
40min90s
−97%
Fraud caught (yoy)
+18%
more
NB
Kiz8 shipped a working agent in six weeks. Six months later it still owns the queue — and our fraud analysts finally do fraud work, not data entry.
Head of Risk
Nordic Bank
04

/ team

Senior by default.
No layers between you and the code.

Every engagement runs with a small core team: an AI architect, two senior engineers, an MLOps lead, and a delivery partner. No offshore handoffs. No PM chains. Direct contact, same time-zone.

0
engineers
0
industries
0
languages
0
yrs avg.
/ Models
GPT-4/5ClaudeLlamaMistralfine-tuningevals
/ Infra
AWSGCPKubernetesTerraformDockeredge
/ Data
SnowflakeBigQueryKafkadbtAirflowIceberg
/ Frontend
TypeScriptReactNextPythonGoRust
05

/ start

Tell us whatyou want toautomate.

Send us one paragraph about the workflow you'd hand to an agent. We'll reply with a 30-min discovery call and a shortlist of what's actually worth building.