One sovereign platform to run, govern and oversee every AI agent in your business. Yours, ours, open source or third-party. All behind your firewall.
Get in TouchThe cost of doing business keeps rising. Compounding compliance, labour and energy. Each new regulation adds headcount, documentation and audit obligations that did not exist the year before.
The cost of capable digital labour keeps falling. Frontier-model cost has dropped roughly 40x per year while capability climbs. Work that was absurd to automate in 2023 is now routine and cheap.
The gap between those two curves is where the next few years of advantage get won. AOS is how you capture it without creating a governance mess you cannot defend.
The real risk in 2026
Built by internal teams, by vendors, by open-source projects. Running across clouds, touching real data, making real decisions, mostly outside any line of sight. The risk in 2026 is not the models. It is ungoverned AI inside your firewall.
Agents spun up without security review, audit trail or an owner. Nobody can answer what is running, and why.
Every use case rebuilds its own hosting, monitoring and governance. Cost climbs. Reuse never happens.
The EU AI Act lands in 2026. Boards need agents that are auditable and legally defensible, or they cannot be allowed.
The operating model
Build a colleague as a standalone project and you have bought a point solution, with its own hosting, monitoring and governance rebuilt for every regulation. Give the agents an office instead: a shared layer on the infrastructure you already run. AOS is that layer. Four parts, one platform.
A single system of record for KPIs, alerts and security across every agent. Ours, open source or third-party.
The base agent, with orchestration, tools, LLMs, storage and reusable assets.
Packaged applications you can switch on immediately: product enrichment, legal review, GEO search, website chat.
Logging, governance and data protection, all within your environment.
Runs the infrastructure, builds and maintains integrations and APIs, monitors agents technically, watches total cost.
Recruits new ones for new obligations, manages prompts and content, owns the KPIs and the value each delivers.
Meet the team behind AOS
Video coming soon. A short, founder-led intro to the AOS idea.
AOS Control
One control panel across every agent in production, whoever built it and wherever it runs.
98.2%
Resolution
1.4s
Avg latency
0
Open incidents
Real-time visibility into agent activity, latency, cost and quality signals, with business-level reporting.
A central agent registry with clear ownership, metadata and lifecycle management across your entire portfolio.
Full conversations grouped in sessions, enabling resolution rate, escalation tracking and time-to-close reporting.
Detailed, immutable records of each agent run, including tool calls, model invocations, timing, errors and token usage.
Summarise agent behaviour over time and surface drift, regressions or emerging risks before they impact users.
Version, review and roll back prompts without redeploying. Centralise approved knowledge like FAQs, policies and playbooks.
AOS Core
Connect to the enterprise systems, models and cloud providers your organisation already relies on.
AI models
OpenAI
Anthropic Claude
Google Gemini
Mistral
Llama
Microsoft Copilot
AWS Bedrock
Hugging Face
CohereHyperscalers & infrastructure
AWS
Microsoft Azure
Google Cloud
Berget AI
ElastxCustomer service & CRM
Zendesk
Freshdesk
Dixa
Intercom
ServiceNow
Salesforce
HubSpotERP, finance & operations
SAP
Dynamics 365
Oracle
Rillion
Visma
Fortnox
IBM MaximoCollaboration & productivity
Microsoft Teams
Slack
Outlook
Notion
Confluence
JiraAutomation, data & documents
n8n
Zapier
Make
GitHub
Twilio
Snowflake
Databricks
Elastic
PostgreSQL
MongoDB
Scrive
DocuSignAOS does not mandate a specific agent framework, runtime or vendor. It defines clear standards for security, identity and observability that any agent must meet to operate on the platform.
Requirements are validated during onboarding and re-checked periodically, so you can adopt the best tools for each job while keeping consistent oversight.
Agent Registry
Customer Support Agent
Copilot Studio
Invoice Processor
Rillion
Sales Assistant
n8n
Document Analyst
Custom
HR Onboarding Agent
Copilot
Explore each of our AI agents in detail: capabilities, workflows and real metrics.
AOS Apps
Some agents you build. Others you just switch on. AOS Apps are packaged, production-ready applications that run on your AOS Runtime immediately. No fresh build, no point solution. Available to AOS Runtime clients.
Turn thin or messy product data into complete, structured listings. Generate, classify and fill missing attributes across thousands of products, with a human in the loop on the calls that matter.
A first-pass review of contracts and documents. Flags risk, checks against your policies and playbooks, and routes anything that needs a human to the right person.
Generative engine optimisation. See and improve how your brand and products surface in AI-driven search and answer engines, not just classic SEO.
A chat agent grounded in your own website. Crawls your pages and answers from that content, so visitors get accurate answers in their own words.
Each app inherits the same governance, security and audit trail as everything else on the platform. Logged, traceable and behind your firewall.
AOS Runtime
Privacy and data protection are foundational principles of the platform, not optional add-ons.
Defense-in-depth and zero-trust across all supported environments.
Evaluated against established OWASP guidance across three critical domains.
A full-stack architecture with clearly defined layers, forming a complete enterprise agent solution.
Teams
Web Chat
Apps
Your Agents
Algorithma Agents
Third-Party Agents
Agent Brain & Orchestration
Tools, Skills & Integrations
LLMs & Embeddings
Databases & Storage
Data Protection
Gateway & WAF
Logging
Analytics
Governance
Your Systems of Record
Once the runtime, governance and security are in place, a new agent is configuration, not construction. The first workflow is a project. Every one after it is a hire, with time-to-live measured in weeks, not quarters.
The first workflow
A project
Build the runtime, governance and security once.
Every one after
A hire
Time-to-live measured in weeks, not quarters.
The platform carries hosting, monitoring and governance. No rebuild per use case.
Reusable base agents turn the second and third use case into setup, not a fresh build.
The Gladiator Method, run by Forward Deployed Engineers, turns the install into working business value.
10+
Enterprise clients on the platform
Live
Agents in production today across retail, insurance, e-commerce, manufacturing and more
100%
Of actions logged and traceable
Making AI agents as governable, auditable, and business-aligned as any other enterprise system.
Automated scoring, regression detection, and benchmark tracking for every agent interaction.
Closed-loop learning where agent outputs feed directly back into improvement cycles.
Structured processes for handling agent failures, escalations, and corrective actions.
Finer-grained controls over agent permissions, delegation, and service-account governance.
Expanded audit trails, data residency controls, and regulatory reporting.
Tighter integrations with platforms such as Microsoft Copilot and similar ecosystems.
Let's discuss how AOS can bring governance, observability and trust to your AI operations.
Get in Touch
