No SLA breach without a warning first
The SLA Watchdog watches the queue against every SLA target, reprioritizes the tickets that are about to breach, and warns the team while there is still time to act.
Routine scan. Checking every open ticket against its SLA target.
Most of the queue has comfortable headroom. One does not: an enterprise ticket 2 hours from a first-response breach, sitting mid-queue.
Enterprise tier, 4-hour response SLA, and it has been open 2 hours with no reply. It will breach unless it moves.
How it works
Runs on a schedule over your queue
On a set cadence the agent scans every open ticket in Zendesk and Intercom against its SLA target and time remaining.
Weighs which breach matters most
It reprioritizes by time remaining and real contract weight, deciding which near-breach ticket truly outranks the others rather than working the nearest deadline blindly.
Warns while there is still time
At-risk tickets rise to the top and the on-call lead is pinged in Slack with the deadline. When the queue is healthy, it stays silent.
Without Relevance
With Relevance
The breach is discovered in the SLA report the next morning, after it happened.
The agent flags the ticket hours before the deadline, while there is still time to save it.
The queue is worked first-in-first-out, so a near-breach enterprise ticket waits its turn.
The agent reprioritizes by time remaining and contract weight, so the ticket that matters most rises to the top.
Two tickets near breach get treated the same, and the wrong one gets worked first.
The agent weighs contract tier and impact to decide which truly outranks the other, reasoning stated.
A lead eyeballs the queue when they remember to, and misses the ones buried mid-list.
Every open ticket is checked against its target on every scan, not just the ones near the top.
Whether a breach gets caught depends on who is watching and how busy the shift is.
The same watch runs identically around the clock, across every shift and time zone.
Alerting tools fire constantly, so the team learns to ignore them.
When the queue is healthy, the agent stays silent, so an alert always means something real.
Held to a quality bar, on every run
Every prioritization is checked against eval test cases written for this exact job before an alert goes out. If a run fails the bar, it never ships.
Sampling 2% of live runs · 95% passing this week
Shaped by your team, not a template
Experts and engineers tune SLA Watchdog to your playbooks. Every change ships through the same evals.
Drag and drop
Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.
Drag and drop
Compose agents and workforces on a visual canvas. Drag in agents, tools, and approvals in a flow anyone on the team can read.
Build with AI
Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.
Build with AI
Describe the agent in plain language and Invent builds it: the prompt, the tools, and the evals to prove it works.
Build with MCP
Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.
Build with MCP
Engineers drive the same platform from Claude Code, Codex, or Cursor. Create agents, link knowledge, and run evals over MCP.
Built for enterprise teams
Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.
Security & data privacy
- Data residency
- PII masking
- Audit logs
- No training on your data
Access & controls
- Role-based access control
- SSO / SAML
- Human-in-the-loop approvals
- Version control
Monitoring & oversight
- Real-time monitoring
- Full agent tracing
- Cost visibility
- OTEL & Delta Share export

"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
Team it up with more customer support agents
Ticket Resolver
Resolves routine tickets, escalates the rest.
- 1Reproduced the issue
- 2Checked open issues
Filed · clean repro
Bug Report Triager
Reproduces reports and files clean engineering bugs.
CSAT Responder
Recovers low CSAT scores and surfaces the drivers.
Every agent you add shares one stack
These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.
- Triggered by key events or signalslike Zapier
- Given access to contextlike Zep
- Connected to your appslike Composio
- Access to all LLMslike OpenRouter
- Performance evaluatedlike Braintrust
- No-code agent builderlike Dust.tt
- Coordinated into teamslike CrewAI
- Kept alive through long-running worklike Temporal
- Traced at every step of every runlike Langfuse
Put the SLA Watchdog to work this quarter
We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.


