Accountability for AI in production.
ARCS creates independently verifiable, immutable Evidence of AI decisions and actions as they happen, with recorded Human Review and visible rules where needed.
Shared workspace with pre populated example data. No account needed.
AI Engineering & Integration Services
Alongside building ARCS, I’ve developed AI applications for clients and built agent workflows using LangGraph, LangChain, RAG and MCP. I bring 18 years of enterprise software engineering experience to integrating AI with existing business systems.
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When AI decisions have consequences, evidence matters.
When AI makes decisions or takes actions that affect people, money or business operations, the consequences can be serious. If those decisions are challenged, organisations need trustworthy evidence of what happened, not just operational logs.
That means being able to show what happened, who reviewed it and what controls applied.
Without a dedicated accountability record, those answers can be scattered across logs, application code, approval systems and policy documents.
ARCS creates that accountability record as the decision happens.
See how ARCS makes AI accountable
What you get with ARCS
ARCS brings the key parts of AI accountability into one place, creating a clear record of what happened, who was involved and what rules applied.
Immutable, Verifiable Evidence
Create a trustworthy record of AI decisions and actions as they happen.
Capture what the AI did, what information it used and what actions followed. Each Evidence record can be digitally signed and cryptographically chained to the records before it, making changes or gaps detectable. Evidence can be independently verified and preserved immutably so its integrity and history can be demonstrated later. See an Evidence record in ARCS live →
Recorded Human Review
Make human judgement part of the accountability record.
Record who reviewed or approved a decision, their role, what they decided, why they decided it and when.Â
See Human Review in ARCS live →
Visible, Understandable Rules
Make important rules visible to everyone who needs to understand them.
ARCS lets you create selected rules when needed and express them in plain English so engineering, governance, compliance and reviewers can see and understand what should happen. When a rule applies, ARCS records the rule and its version as part of the Evidence. See rules in ARCS live →
Use ARCS for Evidence alone, add Human Review where judgement matters and create visible rules when needed so everyone can understand what should happen.
Prove What Happened
Show Who Decided and Why
Show What Rules Applied
Need help making production AI accountable?
I also work directly with organisations that need help designing and implementing accountability around production AI, including evidence, human review, visible rules and integration with existing systems.
Explore ARCS or try it with your own workflow
Start with the shared ARCS workspace to explore a pre populated example with no account needed. When you are ready to use ARCS with your own application, create your own workspace and connect your integration. The hosted workspace runs in Google Cloud. ARCS is built as containerised services and can also be deployed within your own infrastructure.
