SolutionsSoftware

Turn your support processes into AI agents

Trail parses your support policy, entitlements, runbooks, release notes and ticket threads into one governed context graph. Then AI agents run triage, escalations, release notes and incident procedure on top of it.

Trail

Support & entitlements

This week
  • 1340total tickets
  • 48need approval
  • 29exceptions
  • 88%auto-answered
  • SUP-24693Vantor Healthv4.2Answered
  • SUP-24755Brightlane Groupv4.1Triaging
  • SUP-24817Calder Systemsv3.9HeldM. Okafor
  • SUP-24902Northwind Labsv4.2ApprovalR. Diaz
  • SUP-24940Kestrel Retailv4.0Answered
Agents connected
  • Microsoft Copilot
  • Claude
  • Jira
  • Zendesk
  • Slack
  • Nanonets

Trusted by teams at leading enterprises

  • Ryanair
  • Volkswagen
  • Schneider Electric
  • Juniper Networks
  • Mondelez
  • Roche
  • Bayer
  • Publicis
  • Philip Morris International
  • Topgolf

Top software teams
put Trail to work on:

  • Escalation summaries
  • Support macro upkeep
  • On-call handover
  • Support ticket triage
  • Entitlement checks
  • SLA & escalation routing
  • Bug reproduction
  • Known-issue matching
  • Backport requests
  • Fix-version lookups
  • Release notes drafting
  • Incident severity calls
  • Status-page updates
  • Post-incident reviews
  • Runbook execution
  • Deprecation notices
  • Upgrade path guidance

Turn a runbook into a working agent — in one upload.

Import the incident runbook, support policy or release checklist your engineers maintain. Trail reads it, builds the agent, and shows which clause produced each rule.

  1. 01

    Import process docs

    Drop in the runbook, support policy or release checklist your team already maintains — PDF, DOCX, wiki exports, Markdown.

  2. 02

    Agent auto-built

    Trail parses them into a context graph. It outlines the agent's role, splits the process into phases, and adds the tools each step needs.

  3. 03

    Review, approve, run

    Every learned rule is explained and traced to the exact text it came from. Agents take decisions strictly based on these rules.

Incident runbook says §3.2

“…an incident is declared Sev-1 only where a production function is unavailable to more than one tenant, or a confirmed data-integrity defect is present; a Sev-1 declaration obliges a status-page notice within 30 minutes and an executive bridge…”

Trail extracts rule

If a production function is down for more than one tenant, declare Sev-1 and post a status-page notice within 30 minutes.

Parse-don't-embed isn't a claim you have to take on trust. Graft, our open-source context layer, parses a codebase into a dependency graph with tree-sitter across 20+ languages, entirely locally — the same mechanism, checkable line by line. Graft — open source ↗

Upload a runbook and see Trail build the agent →

One graph underneath all your AI agents.

Everything Trail parses collapses into a single governed graph, and everything your support and engineering teams automate draws from it, whether the work runs in autonomous agents or copilot chats.

Support policyEntitlementsJira & CRMRelease notesRunbooks

Agents - run processes autonomously

Support entitlement agentQueued
  1. ObserveSUP-24817 | v3.9 · Support policy §5.3
  2. ReasonFix shipped in 4.2. Exception under §5.3.
  3. ActionHold set. Exception routed for approval
Escalation agentQueued
  1. ObserveSUP-24902 open 19h · SLA schedule §2.1
  2. ReasonPremier response window is 8 hours
  3. ActionEscalated to on-call. Duty manager copied.
Release notes agentQueued
  1. ObserveREL-4.3 | 62 merged PRs · Release process SOP §4
  2. Reason9 changes are customer-visible
  3. ActionNotes drafted, fix versions linked
Deprecation agentQueued
  1. ObserveAPI v1 sunset in 90 days · Deprecation policy §6.2
  2. Reason41 accounts still call the v1 endpoint
  3. ActionNotice drafted. Account owners listed

Copilot Chats - ask questions and run tasks

Copilot agentMCP

Help your agents solve the most complex problems with context graphs.

A customer asks for a backport their contract doesn't cover, running the previous major version on Standard support, for a bug fixed three releases ahead, after an SE said they'd look into it what do we tell them?

One question. Five kinds of context, each in a different system — the contract doesn't know where the bug was fixed, and the release history doesn't know what they bought.

How the Context Graph works →
  • Support policy & entitlements

    Policy context · What are they entitled to?

    Backports: current major release only

  • CRM / subscription records

    System-of-record context · What do they run and own?

    Calder Systems · v3.9 · Standard support

  • Release history

    Computed context · Where was it fixed?

    Fixed in 4.2 · three releases ahead

  • Ticket & Slack thread

    Conversation context · What was implied to them?

    SE said “looking into it” — no commitment

  • Exception SOP

    SOP context · What's the path?

    Offer upgrade path · exception needs VP

Connects to the agent platform you already use.

Point the agents your software org already runs, SAP Joule, Agentforce, Copilot, Claude or your own stack, at one Trail brain, through a native Model Context Protocol server, native retrievers, or a plain REST/GraphQL API. Add or switch platforms without re-teaching a thing.

AnthropicClaude
OpenAIChatGPT
MicrosoftCopilot
AWSBedrock
GCPVertex AI
JouleSAP
AgentforceSalesforce
LangChain& LlamaIndex
Don't see your platform? Ask us →

35% of Fortune 500 and 10,000+ companies use Trail

Customer story · StarTex Software

“What used to take our team 10 minutes per SDS now takes 10 seconds. Nanonets reads all 18 sections, extracts everything we need, and flags the few fields it's unsure about.”
Product ManagerStarTex Software
Per document
10 min 10 sec
Touchless processing
90% of fields
Sections read per document
manual scan all 18
Extraction confidence
96%

Teams using Trail see

Built for how modern
enterprises work.

Trail meets the highest industry standards for your security & compliance. We include all default controls that you'd expect, including SAML SSO, audit logs, IP allow-listing, data lifecycle management, and much more.

SSO & SCIM
SAML, OIDC, and SCIM user provisioning with Okta, Azure AD, Google Workspace.
Role-based access
Full RBAC and fine-grained access control across orgs, workspaces, agents.
Audit logs
Every agent run, approval, and data access is recorded, and streams to your SIEM.
Private deployment
VPC, single-tenant cloud, or on-prem. Choose your infrastructure and network policies.
Data residency
Pin data processing to US, EU, APAC regions. Customer data never leaves your boundary.
Human-in-the-loop
Configure approval gates to route edge cases to Slack, Teams, or email for review.
Encryption at rest & in transit
AES-256 at rest, TLS 1.3 in transit. BYOK supported for all customer-managed keys.
Usage quotas & rate limits
Per-team budgets and API quotas with real-time cost dashboards. No surprises.

Security built in, not bolted on.

Your data and your company brain never leave your boundary. Independently audited every year, with compliance controls enforced by the platform — not promised on a page.

Held and current — not roadmap targets.

SOC 2 Type IISOC 2 Type IIOngoing security controls
GDPRGDPREU data protection
ISO 27001ISO 27001Global ISMS standard
HIPAAHIPAABAA on enterprise plans

Turn your support processes
into a competitive advantage.

Bring one runbook or support policy and one real-life ticket. We'll show you how Trail proposes rules and builds an agent, which then takes the correct decision and acts on it.

Prefer to read first? Read the FAQ →