Resolution you can defend in a meeting
Auto-resolution and escalation rates stop being folklore—logs and audit trails back the story when leadership asks what the swarm actually cleared.
Mid-market SaaS · Zero-Escalation Support
We engineer an autonomous AI swarm—real agents on your own stack, not no-code glue—that resolves Tier 1 and Tier 2 support and DevOps triage, so your engineers stop repeating routine work and get back to shipping.

Real AI agents wired into the support stack your engineers already live in
Stop repeat work. KPI-first, production-ready.
A Zero-Escalation Tier 1 and Tier 2 support swarm integrated into your tools and codebase.
How it works
Built for reliable automation first, then expanded as resolution confidence grows.
Connect Zendesk, Jira, and your code context so tickets are classified and routed cleanly.
Agents handle known support and triage actions with logs, safeguards, and audit trails.
Uncertain cases escalate to humans while we tune toward the autonomous resolution KPI.
Capabilities
One offer, wired into your stack—each capability ships with logs, guardrails, and a clean path to a human when confidence is low.
Autonomous handling of the tickets that repeat.
Classify, enrich, and route incidents before an engineer wakes up.
Low-confidence cases escalate to humans, cleanly.
Resolution rates backed by logs, not folklore.
Wired into the tools your team already lives in.
Integrations
We orchestrate the AI models, agents, and tools you already use—Claude, ChatGPT, Gemini, MCP servers, and the rest—so automations scale cleanly instead of turning into brittle glue. If it has an API, we can wire it in.
AI models & agents
Support & ticketing
Dev & on-call
Comms & data
Don't see yours? New models and tools ship every week—we add integrations as fast as your stack evolves.
Request an integrationOutcomes
Auto-resolution and escalation rates stop being folklore—logs and audit trails back the story when leadership asks what the swarm actually cleared.
Exceptions have a path. On-call isn’t untangling the same workflow at 9 p.m. every week.
Map → build → handoff. Not five parallel “initiatives” competing for the same calendar.
Tools-first, orchestration-second, models only where they earn their seat.
Mid-market B2B SaaS teams where support and DevOps issues keep pulling senior engineers into repeat work.
See pricingWe stopped staffing nights for the same Tier 1 tickets. The swarm clears them before an engineer ever sees them—and we can prove it in the logs.
VP Engineering
B2B SaaS · featured pattern
Pricing
Clear setup and monthly operations pricing, tied to measurable autonomous resolution.
$10k-$25k
Custom deployment of the support swarm into your ticketing stack, workflows, and code context.
Plan deploymentMost common
$3k-$5k / month
Ongoing maintenance, compute, and optimization to improve autonomous resolution performance.
Request pricing60-day KPI
If we don't hit the agreed autonomous-resolution KPI inside the window, you don't pay for the build.
See detailsIn production
Real workflows on real tools—not a slide deck.
A software team with the same ops headache: volume arriving faster than they could route and qualify. We replaced manual enrichment and assignment with orchestration on their existing stack—hours back each week, without adding headcount to cover the gaps.

FAQ
No. We deploy real AI agents into the tools your support already runs on—Zendesk, Jira, Slack, and your code context—with safe fallback routing to humans when confidence is low.
A bounded implementation window from kickoff to a documented, runnable system: map, build, and handoff—not an endless transformation program.
Your team. We deliver runbooks and ownership so the same fixes don’t reappear as one-off projects every quarter.
We focus on mid-market B2B SaaS with real technical ticket volume—typically tens to a few hundred people—where support and on-call feel the repetition first.
Share where tickets and triage repeat, and we will map what can be autonomously resolved first in your stack.
Get started
Share your tools, how tickets enter today, and where engineers keep repeating the same steps. We come back with a blunt fit check on the 30-day build—not a generic deck.