Enterprise agent platforms & automation builders
Operate thousands of customer-specific agents with confidence, prevent regressions and uncover what to automate next.
Enterprise platforms don't ship one assistant. They ship endless variations across customers, roles, and workflows.
Chatching gives you the visibility to prevent breakage and the insights to grow usage and revenue.
Best fit if your agent library is growing faster than your ability to verify and improve it.
This is for platforms that let enterprises build and run many agents/automations across teams and workflows, where each customer configuration creates new behavior to maintain.
The agent explosion problem
As you scale, you don't just add features, you add behaviors.
Across customers and use cases, the number of agents and variations grows fast, and the system becomes:
That's how platforms end up stuck between shipping slower or breaking trust.
What Chatching helps you do
Regression: prevent breakage and ship safely
Know what's broken, why, and whether a release is safe.
- Create high-quality eval sets that reflect real customer scenarios
- Run regression testing before production releases
- Detect failure modes: hallucinations, wrong action, partial success
- Set quality thresholds tied to business risk ("safe to ship" gates)
- Produce actionable "what broke and how to fix it" reports for teams
We can set this up with tools like Langfuse or Braintrust so your team can own it.
Progression: grow usage and revenue based on real demand
Know what users are trying to do — and what to automate next.
- Identify repeat requests and unmet needs across customers
- Cluster "what users are trying to do" into buildable agentic capabilities
- Prioritize what to build next based on adoption potential and impact
- Provide a roadmap of "next automations" that drive platform usage growth
- Track whether new capabilities actually increase repeat usage and outcomes
Want regression + progression visibility for your platform?
What you get
- A regression-ready eval and testing plan (plus recommended thresholds)
- A repeatable pre-release regression process
- A failure mode view: what breaks, how often, and why it matters
- A demand map: what users are trying to do across customers
- A prioritized "what to automate next" roadmap tied to adoption and revenue
Where to start
Most platforms start with a focused Technical Audit to identify:
- Where regressions are slipping into production
- What's missing to verify quality at scale
- What demand signals should drive the next capabilities you build
Scale your agent platform without losing trust
If your agents are multiplying faster than your ability to verify and improve them, Chatching helps you prevent regressions and find the next automations users actually want.
We'll reply with a short intake form and suggested next steps.