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