Agents don't break.
They reshape.
An agent can keep returning success while the shape of its behavior quietly changes. DataWell AI learns what normal looks like and shows you what moved.
Success isn't the same
as normal.
Traditional monitoring catches broken systems. AI agents can keep working while the pattern underneath them changes.
- Same status code.
- Different tool use.
- Different retries.
- Different speed.
- Different handoffs.
- Different outcomes.
The system stayed green. The agent became something different.
Is Your Agent
Bent Out Of Shape?
Agents hold their shape until something underneath them changes.
When a change needs a deeper investigation, teams can escalate into a DataWell System Scan.
Tracing follows the run.
DataWell AI follows the pattern.
Traces reconstruct single runs. DataWell AI watches how behavior changes across runs over time.
Is it still behaving like the agent you put into production?
Tracing
What happened this time?
DataWell AI
Is the way it behaves changing?
Metadata first. DataWell AI doesn't need your raw prompts or responses to start.
Built for agents whose
decisions matter.
For production agents where a quiet behavioral change can affect money, customers, operations, or compliance.
- Financial services
- Lending and underwriting
- Compliance-sensitive workflows
- Customer-facing AI agents
- Operational AI systems
- Regulated or reliability-sensitive environments
Designed for the engineers, platform teams, AI leaders, risk teams, and operators who eventually have to answer: What shifted, when did we first see it, and what does the data show?
Early access is open.
We're selecting a small number of teams running AI agents in production. If your agents make decisions, call tools, move information, or affect customers, tell us what you're running and where visibility breaks down.
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