Now resolving L3 tickets autonomously

Your senior engineers shouldn't be doing L3 support.

A customer files a ticket. GoGo pulls their config, database state, logs, past requests, and your codebase — finds the root cause and ships the right fix, before an engineer even looks.

Start free pilot docker compose up Self-host in 5 min
ACME-4271 Export timeout acme-corp config db logs kms ✓ Config answer 6 min BOLT-892 Webhook failing boltpay code deploys HMAC ✓ PR #1847 14 min NOVA-156 SSO login loop nova-finance SSO history Okta ✓ Team brief 9 min
The problem

Every ticket is different because
every customer is different.

Your enterprise customers each have unique configurations, integrations, and edge cases. When they file an issue, a generic AI can't help — because the answer depends on which customer it is, how they're set up, and what they're actually trying to do.

gogo ~ resolving ACME-4271
ticket ACME-4271 "Export failing with timeout for Acme Corp"
tenant Loading config for acme-corp (BYOK: Thales, region: eu-west-1)
triage KMS decrypt latency 4200ms → timeout set to 3000ms (default)
root Not a bug — Acme's Thales HSM has higher latency than default timeout
action Customer answer — no code change needed
reply Draft: "Your Thales KMS latency (4.2s) exceeds the default export
timeout. Set EXPORT_TIMEOUT_MS=6000 in your tenant dashboard
under Settings → Integrations → KMS. We're also adding auto-
detection for this in the next release."
sent → Zendesk draft ready for L2 review · 6 min
ticket BOLT-892 "Webhook delivery failing for BoltPay since yesterday"
tenant Loading config for boltpay (webhook: v2, retry: 3x, HMAC: SHA256)
triage Webhook signature validation failing after deploy d4f8e2a (16h ago)
code src/webhooks/signer.ts:67 — HMAC digest changed from hex to base64
root Regression in PR #1803 — encoding format broke tenants using HMAC-SHA256
fix Restore hex encoding for existing tenants, add base64 as opt-in
ci ✓ 62 tests passed, 0 failed, 0 skipped
pr → #1847 opened, linked to BOLT-892, reviewer: @maya
reply Draft response to BoltPay ready for review
done ✓ PR + customer reply · 14 min
ticket NOVA-156 "SSO login loop for some users on Nova Finance"
tenant Loading config for nova-finance (SSO: Okta, SAML 2.0, custom claims)
triage 3 similar tickets this week — all Okta tenants, all after Okta's v2024.12 update
root Okta changed claim format in their update. Our SAML parser handles both,
but Nova's custom claim mapping uses a deprecated field path.
action Team brief — pattern affects multiple Okta tenants
slack → #support-eng "3 Okta tenants hitting SSO loop after Okta
v2024.12. Root cause: deprecated claim field path. Affected tenants:
Nova Finance, Apex Trading, ClearLedger. L2 can resolve by guiding
customers to update their Okta claim mapping. Runbook attached."
done ✓ Brief + runbook posted · 9 min · L2 can now handle all 3

GoGo picks the right resolution path for each ticket — not every issue needs a code change.

How it works

Ticket in. Resolution out.
Right person notified.

01

Ticket arrives

A customer reports an issue through your existing support tools. GoGo picks it up automatically — no engineer triages or assigns it.

LinearJiraZendeskIntercom
02

Tenant context loaded

GoGo identifies which customer, loads their specific configuration — feature flags, integration settings, KMS provider, deployment region, and past resolution history.

Tenant configsFeature flagsIntegration settings
03

Multi-system triage

Correlates the ticket with your codebase, recent deploys, logs, knowledge base, and Slack history to pinpoint root cause and determine the right resolution path.

GitHubDatadogSentrySlackKB
04

Right resolution, right audience

GoGo picks the resolution that fits the issue. A config misconfiguration? Draft a customer-facing answer with their specific fix steps. An actual bug? Open a PR, run CI, assign a reviewer. A recurring pattern? Brief your L2 team or product with context so they can handle it going forward.

Customer replyPR openedL2 team briefProduct insightInternal note
Where GoGo sits

The quadrant nobody covers.

Existing tools either focus on infrastructure incidents (bottom) or ignore per-account config entirely (left). GoGo operates at the intersection of application-level support and deep tenant awareness — the top-right quadrant that's empty today.

L3 support backlog
Application / product focus
Incidents & uptime
Infrastructure focus
Devin Cursor Kiro
AI coding tools
Write code but engineer assigns work. No customer context.
GoGo GoGo
Autonomous L3 agent
Ticket-triggered. Reads tenant config. Ships the right resolution.
Intercom Fin Zendesk AI
Support chatbots
Answer L1 from KB. Escalate everything else.
PagerDuty Rootly
AI SRE tools
Restore uptime. Don't ship new code.
Few accounts
Simple config
Many enterprise accounts
Per-account config
Why existing tools can't do this

Per-tenant config is the hard part.

Generic AI coding tools don't know your customers. L1 support chatbots can't touch your code. GoGo operates at the intersection that nobody else covers.

Devin / Cursor / Kiro

AI coding tools
  • Write code — but an engineer assigns the work
  • No customer context or tenant configs
  • Same fix for every customer
  • Compete for your eng productivity budget

Intercom Fin / Zendesk AI

AI support chatbots
  • Answer questions from your knowledge base
  • Can't read your codebase or ship fixes
  • Deflect L1 tickets, escalate everything else
  • GoGo picks up where they stop

Rootly / PagerDuty / Resolve

AI SRE tools
  • Optimized for uptime and incident response
  • Infrastructure-level, not application-level
  • Restore state — don't ship new code
  • Different buyer, different metric (MTTR)

GoGo

Autonomous L3 support agent
  • Ticket-triggered — no engineer assigns work
  • Reads customer config, knows their setup
  • Picks the right resolution: answer, PR, or team brief
  • Uplevels your entire support org, not just eng
Built for teams where every customer is different

Does this sound like you?

GoGo is built for B2B SaaS companies where per-account configuration makes every support ticket unique.

Vertical SaaS & Fintech

BYOK, custom compliance rules, per-tenant encryption configs. Every enterprise customer is a special snowflake — and your engineers know it.

BYOK/Thales · SOC 2 · PCI · custom auth flows

Integration-heavy platforms

Customers connect 10+ external systems. When an integration breaks, debugging requires tracing across their specific webhook configs and API versions.

iPaaS · CDPs · payment orchestration · ERPs

Developer tools & infra

Your customers are engineers. They file detailed bug reports and expect fast resolution. High-quality tickets are ideal input for autonomous resolution.

CI/CD · observability · API gateways · SDKs
Your code, your infrastructure

Deploy how you want.

Run GoGo as a managed service or self-host in your own VPC. Your codebase never leaves your infrastructure if you don't want it to.

GoGo Cloud managed

Connect your repo, ticket system, and customer configs. GoGo runs in an isolated environment with SOC 2 compliance. Up and running in 30 minutes.

npx gogo init --cloud
SOC 2 Type II · Scoped repo access · Encrypted at rest · Audit logs · SSO

Self-hosted your VPC

Run GoGo entirely inside your own infrastructure. Bring your own LLM API key. Your code and customer data never leave your network.

docker compose up -d
Docker / K8s · BYOK LLM · Air-gapped option · Helm chart · Full source access

Stop burning senior engineers
on support tickets.

Start with 10 tickets. See if GoGo resolves them before your engineers even see them.

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