AI Platform

One operating environment from specification to governed AI

CENTURY / OPERATING LAYER

Select a layer to explore

Specification, development
and governance

Quality & activity

Review answer and retrieval quality, response details, tool activity and request cost, then bring the findings back into the next specification

Century response footer with copy and feedback controls, token counts and timing information — Response details
Inspect the token counts and timing details attached to an application response

Workflows & agents

Build no-code agent and multi-agent workflows with branches, saved state and retries, adding employee confirmation where the process requires it

Specification & development

Collect requests from business teams, assess readiness and agree acceptance criteria, then give developers the models, knowledge and tools to build and test the workflow

Knowledge

Recognise scanned documents and prepare knowledge for retrieval with metadata and indexes, keeping role-based access, source links and document versions

Four actual file-library rows in Century, showing JSON and text files with their sizes — Files & structured data
Work with existing files in the application, including text documents and structured data

Models

Connect models independently of the platform, choose them for each task and data policy, and evaluate quality on your own documents and questions

Century agent list detail showing model assignments, dates and action icons — Models & controls
Model assignments and agent controls, as they appear in the Century workspace

Integrations

Connect existing applications, databases and document systems through APIs and MCP, with permissions for the sources and actions each workflow needs

Security & governance

Apply access rules and data policies, review versions and activity logs, and keep quality checks and release decisions connected to the people responsible

Agents

Build agents grounded in permitted knowledge and connected tools

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Systems

Turn business requests into connected, tested workflows

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AI Gateway

Choose models, control data use and inspect the evidence

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Three stages
One continuous cycle

Specification → Development → Governance connects business requests, working automations and evidence from daily use, with findings feeding into the next specification

Model independence

Choose models for each task and data policy, then compare quality on your own documents and questions

A shared automation backlog

Collect requests through guided AI interviews and assess readiness across 27 blocks in seven categories before development

Knowledge with evidence

Recognise scanned documents and retrieve relevant passages with permissions, source links and document versions

Governance in daily work

Review quality, versions and activity logs, with clear roles and rules for the data each model can use

A cycle of improvement

Feed findings from live workflows back into specifications, then let your team build and evaluate the next iteration

Built around enterprise requirements
Your infrastructure, access rules and acceptance criteria shape each deployment

Deployment on your terms

Run Century on your own or rented infrastructure, with models and capacity selected around the workload and your data requirements

Explore deployment

Access that follows the role

Set permissions for departments, knowledge sources and tools so assistants work with the information each user is allowed to access

Our approach to security

Rules for model data

Define which data may reach each model and record those decisions in logs, with cloud processing governed by your organisation's policies

Privacy and data handling

Acceptance before expansion

Agree success criteria and control questions with process owners, evaluate the first workflow and use the findings to decide what comes next

Discuss your requirements

Build a connected
way of working

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One operating environment from specification to governed AI

Specification, developmentand governance

Quality & activity

Workflows & agents

Specification & development

Knowledge

Models

Integrations

Security & governance

One platformConnected capabilities

Three stagesOne continuous cycle

Model independence

A shared automation backlog

Knowledge with evidence

Governance in daily work

A cycle of improvement

Built around enterprise requirementsYour infrastructure, access rules and acceptance criteria shape each deployment

Deployment on your terms

Access that follows the role

Rules for model data

Acceptance before expansion

Build a connectedway of working

Specification, development
and governance

One platform
Connected capabilities

Three stages
One continuous cycle

Built around enterprise requirements
Your infrastructure, access rules and acceptance criteria shape each deployment

Build a connected
way of working