Rithmo provides the context infrastructure enterprises need to give AI agents more responsibility with less human supervision.
“Price increases by 15%.”
Ask anything about what Rithmo does, how it works, or where it fits in your AI stack.
Rithmo is the fact-checker for AI agents.It continuously reconciles the business context your agents depend on, as decisions are made and the business changes.Every resolution keeps its provenance and history.
Rithmo keeps the current answer and its provenance up to date. When a change needs human judgement, it alerts the person accountable for it.
Keep agents on low-consequence tasks, where an error or an outdated fact has limited impact.
Build procedures around maintaining agents: watch for business changes, work out which workflows they affect, involve the business owners, resolve the ambiguity, update agent context and validate the change.
Mature teams already run the second model, and the work grows with every agent they deploy. Teams without a credible process for it tend to keep agents away from consequential work altogether.
Rithmo is the infrastructure for moving past that limit.
It compares what your business has decided with what your systems still say, and works out the current answer. When the answer is current, your agents proceed on it. When the evidence genuinely conflicts, Rithmo does not choose a side: it holds that one action, assembles the evidence, and puts the open question to the people responsible for that decision. A model’s confidence is not your company’s authority.
Where your business changes
Meetings
Messages
CRM
Documents
Tickets
Rithmo
Finds and verifies what changed
What your AI should use now
Renewals are 15%
People see a specific question an agent needs answered, not a data-cleanup backlog. Rithmo packages the evidence and brings it to the accountable owner, so it is settled before the action rather than audited after it.
Rithmo
Resolution needed
Renewal rate conflict
Renewal quotes are waiting for resolution. The current evidence supports two different rates.
Which rate is current?
Agents act on what is true now, kept current as business state changes, with what was true on any earlier date still answerable.
Know when new information replaces something that was operative, and whether it was a revision, a reversal, drift or abandonment.
See who made or changed a decision, and whether it was confirmed, before it becomes the current answer.
Every answer carries the evidence it came from, and when it was decided, took effect and became known.
Alert the accountable stakeholder with the evidence when judgement is required, and automate more of the resolution as trust grows.
Keep the history of what changed, how it was resolved and which answer each agent acted on.
When a change needs judgement, Rithmo holds the affected action, assembles the evidence and alerts the accountable owner. Once they decide, the answer reaches every connected agent. Organizations start there, with people in control, and automate more of the resolution as trust grows.
People watch for business changes, work out which agents they affect, and update agent context by hand.
Rithmo keeps agent context current and alerts the accountable stakeholder, with the evidence, whenever a change needs their judgement.
As trust grows, organizations automate more of the resolution. People handle the exceptions, and agents take on more consequential work.
People stay accountable for business decisions. Rithmo removes the maintenance work around them, not the judgement.
Rithmo works alongside what you already run. It is not another agent framework and it does not sit in your model’s inference path. It is the context reconciliation infrastructure that lets you move from low-risk automation to agent workflows with real consequences.
More autonomy. Less supervision. Current context at the point of action.
Refunds are now accepted within 14 days.
Support AI
Now gives the correct policy
Sales AI
Stops promising 30 days
Finance AI
Processes refunds using 14 days
That record is what lets you hand agents more consequential work. AI agent governance you can show: what an agent did, what it was held back from doing, and what information it was entitled to rely on.
Apr 21
Renewal emailed
Agent · without Rithmo
$4,800.00 to Acme Inc.
Apr 21
Held the renewal
Rithmo
Wrong price, nothing sent
Apr 22
Renewal emailed
Agent · with Rithmo
$5,184.00 to Acme Inc.
Your infrastructure, your access controls, your data. Deployment architecture is finalized with your team during implementation.
Deploy into your own cloud account or VPC.
Runs on infrastructure you already own and monitor.
Deploy inside your own data center.
Your information stays within your perimeter and you control access.
Rithmo never trains on, sells, or locks in your data. Access is limited, revocable, and follows the permissions already established across your company systems.
OSS Agent Lab is Rithmo’s open-source, deterministic enterprise environment for evaluating agents as business context changes over time. Test agent behavior against reproducible state, authority rules, supersession and historical ground truth.
It is an evaluation environment, separate from the commercial Rithmo product.
Explore OSS Agent LabStart with a free audit of your strategy, AI stack and architecture: where your agents can take on more consequential work, and the context they need to do it.