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 · Multiplayer Agent Support
Your team and AI agents,on one queue
We put AI agents and your engineers on the same live queue—resolving Tier 1 & 2 support and DevOps triage on a shared, self-maintaining company brain. Watch any agent, redirect it, or take the handoff with full context. No dead-end solo chats. No context lost.
- Agents + humans, one queue
- Watch · redirect · hand off
- Zendesk · Jira · GitHub
- Shared company brain
50%
Auto-resolution target.
Up to half of Tier 1 and Tier 2 tickets cleared before a human is needed.
100+
Engineering hours reclaimed.
Your team stops re-running the same support and triage loops every week.
60
Day performance window.
If the autonomous resolution KPI is not reached in the agreed window, you do not pay.
Native
One shared brain.
Agents and humans work one source of truth—every action logged and reused.
AI agents and your team, working the same stack your engineers already live in
- Zendesk
- Jira
- GitHub
- Slack
- Linear
- PagerDuty
- Intercom
- Datadog
The offer
Stop repeat work. KPI-first, production-ready.
One offer
A multiplayer support swarm—AI agents and your team on one queue—integrated into your tools and codebase.
How it works
Three steps to a supervised swarm
Built for reliable automation first, then expanded as resolution confidence grows.
- 01
Integrate intake
Connect Zendesk, Jira, and your code context so tickets are classified and routed cleanly.
- 02
Execute and resolve
Agents handle known support and triage actions with logs and guardrails—and your team can watch any session live and redirect it.
- 03
Fallback and optimize
Uncertain cases hand off to a human with full context; every resolution is written back to the shared brain and tuned toward the KPI.
Capabilities
What the swarm handles
One offer, wired into your stack—each capability ships with logs, guardrails, and a clean path to a human when confidence is low.
Tier 1 & 2 resolution
Autonomous handling of the tickets that repeat.
- Known support and how-to requests answered instantly
- Account, billing, and config fixes with guardrails
- Full audit trail on every action taken
DevOps triage
Classify, enrich, and route incidents before an engineer wakes up.
- Log and error triage against your code context
- Severity scoring and clean handoff to on-call
- Noise filtered so humans see only what matters
Safe fallback
Low-confidence cases escalate to humans, cleanly.
- Confidence thresholds you control
- Context-rich handoff — no starting from zero
- Watch, redirect, or take over any live session
KPI you can prove
Resolution rates backed by logs, not folklore.
- Auto-resolution and escalation dashboards
- Tie performance to the agreed 60-day window
- Reporting your leadership can defend
Built in your stack
Wired into the tools your team already lives in.
- Zendesk, Jira, GitHub, Slack, Linear, PagerDuty
- No rip-and-replace of core tooling
- Owned by your team after handoff
Integrations
Agents and your team, across your entire stack
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
- Claude
- ChatGPT
- Gemini
- Together AI
- MCP servers
- Mistral
Support & ticketing
- Zendesk
- Intercom
- Jira
- Front
Dev & on-call
- GitHub
- Linear
- PagerDuty
- Sentry
Comms & data
- Slack
- Datadog
- Snowflake
- BigQuery
Don't see yours? New models and tools ship every week—we add integrations as fast as your stack evolves.
Request an integrationOutcomes
What changes when repetition stops
Fewer heroics
Exceptions have a path. On-call isn’t untangling the same workflow at 9 p.m. every week.
One thread
Map → build → handoff. Not five parallel “initiatives” competing for the same calendar.
One shared brain
Agents and humans work one source of truth—every fix logged and reused, so nothing is solved twice.
Who it’s for
Mid-market B2B SaaS teams where support and DevOps issues keep pulling senior engineers into repeat work.
See pricing$5M-$50M ARR SaaSCTO or technical founder ledHigh technical ticket volumeEngineering time lost to triage
Our engineers and the agents work the same queue now. The swarm clears the repeat Tier 1 tickets, and the hard ones land on a human with the full thread already attached.
VP Engineering
B2B SaaS · featured pattern
Pricing
Commercial model
Clear setup and monthly operations pricing, tied to measurable autonomous resolution.
Integration setup
$10k-$25k
Custom deployment of the multiplayer swarm into your ticketing stack, workflows, and code context.
Plan deploymentMost common
Swarm operations
$3k-$5k / month
Ongoing maintenance, compute, and optimization to raise autonomous resolution and keep the shared brain current.
Request pricingPerformance guarantee
60-day KPI
If we don't hit the agreed autonomous-resolution KPI inside the window, you don't pay for the build.
See details
Proof
In production
Real workflows on real tools—not a slide deck.
Product companyHours back every week—agents and our team on one queue, and no one retypes the same steps.
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.
Talk to us
Maya ChenHead of Operations.
FAQ
Questions we hear before a scope call
Do you replace Zendesk, Jira, or our other core tools?
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.
What does “~30 days” include?
A bounded implementation window from kickoff to a documented, runnable system: map, build, and handoff—not an endless transformation program.
Who owns the system after launch?
Your team. We deliver runbooks and ownership so the same fixes don’t reappear as one-off projects every quarter.
How is this different from a solo AI chatbot?
A chatbot is one thread that forgets. This is multiplayer: your whole team can watch, redirect, and hand off agents on one queue, and every resolution is written back to a shared, auditable brain—so the same issue never costs you twice.
Ready to stop doing the same task twice?
Share where tickets and triage repeat, and we will map what can be autonomously resolved first in your stack.
Get started
Tell us where work stalls.
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.
