Kiz8
● AI AGENT INTEGRATION STUDIO

AI agents, built and run
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.

discover → architect → build → integrate → operate
agent_spec.tszsh
# 
By the numbers
40+Projects shipped
12Agents in production
7Client industries
6 wksAvg. time to first agent
HOW WE BUILD

One spec, wired end to end.

A plain-language spec compiles into an evaluated, observable agent — then wires into the systems your team already runs.

AGENT_SPEC.TS
kiz8.agent("triage refunds")
KIZ8 AGENT CORE
Eval harnessPASSED
Tool routingOPTIMIZED
ObservabilityWIRED
Rollback1-CLICK

click a node to toggle its wiring

THE ENGAGEMENT · FIVE STEPS
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.

WHAT WE BUILD

Five disciplines, one 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
CASE STUDY

FraudShield · European G-SIB

CONTEXT

The fraud desk at a European G-SIB 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
EG
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
European G-SIB
NATIVE CONNECTORS

We integrate with the systems you already run.

Cloudflare
Claude
Slack
Notion
GitHub
Linear
OpenAI
HubSpot
Snowflake
Sheets
Zendesk
Salesforce

+ any HTTP / MCP endpoint · request a connector →

THE 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.

6
engineers
7
industries
9
languages
12
yrs avg.
/ Models
GPT-4/5ClaudeLlamaMistralfine-tuningevals
/ Infra
AWSGCPKubernetesTerraformDockeredge
/ Data
SnowflakeBigQueryKafkadbtAirflowIceberg
/ Frontend
TypeScriptReactNextPythonGoRust
START

Tell us what you want to automate.

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.

30-min discovery · one paragraph is enough to start