Multi-agent process automation

Automate the processes your business actually runs on

One platform for both sides of automation: conversational agents that talk to your customers, and deterministic workflows that execute exactly as written. Every run is logged, measured and auditable.

Book a demo See how a process is built

Now onboarding our first enterprise partners.

automation hub

The platform

Two kinds of automation, one runtime

Most processes need both: a conversation at the front, exact execution behind it. Splitting those across two vendors is where automation projects stall.

Conversational

Agents that hold a real conversation

Support and service agents answer from your own documents, ask for what they're missing, and hand off to a workflow the moment action is needed.

Deterministic

Workflows that run the same way every time

Phases, steps, typed tool calls and approval gates. No improvisation in the places where improvisation costs money.

Analytics

Duration, cost and retries per run

Every execution is recorded step by step, so you can see what a process costs before you scale it across a department.

Memory

Context that survives past one chat

Agents carry what your business knows between runs — customers, decisions, exceptions — instead of starting cold each time.

Process anatomy

Phases, steps, sub-agents and tools

A process is written once as an ordered set of phases. Each step names the sub-agent that performs it, the tools it may call, and whether a human signs off before it continues.

Approval gates — per step, per role
Typed tool calls — no free-form actions
Per-agent models — assigned in admin

Execution analytics

You should know what each run costs

Success rate, duration, token spend and retries are recorded for every execution and every step inside it. When a process gets slower or more expensive, the board shows you where.

Per run duration & cost

Per step tokens & retries

Per agent model & latency

Governance

Your keys, your models, your people

The platform runs in your own cloud. Model providers and keys are configured per environment, users carry roles, and each agent's model is assigned rather than assumed.

Providers and keys per environment
Users, roles and access control
Per-agent model assignment

From AGENTICAUTO LIMITED

Two products, one idea: agents that do the work

We build agentic software for teams that want the leverage of AI without giving up control. AgenticAuto automates your business processes. Coddy brings the same discipline to your codebase.

AgenticAuto · this platform

Process automation

Conversational agents and deterministic workflows for the processes your business runs on — deployed in your own cloud, every run auditable.

Explore the platform

Coddy · coding agent In development

A coding agent for real repositories

Coddy plans, edits and reviews code across a whole project — running your tests, respecting your conventions, and proposing changes for a human to approve. The same runtime, pointed at software.

About Coddy

Early access

We're taking on a small number of first partners

We build the first process with you, in your own environment, and stay close while it goes live. In exchange we want honest feedback and a hard problem.

Apply for early access Talk to a founder

What a first partner gets

One process built with you

Scoped, built and deployed together, not handed over as a licence.

A direct line to the founders

No support queue between you and the people writing the platform.

Your own cloud from day one

Nothing to migrate later, and your data never leaves your account.