SolutionsManufacturing

Turn your manufacturing processes into AI agents

Trail parses your work instructions, quality specs, supplier agreements, deviation procedures and shift notes into one governed context graph. Then AI agents run incoming inspection, non-conformance, deviations and CAPA on top of it.

Trail

Non-conformance

This week
  • 1410lots inspected
  • 46open NCRs
  • 17need decision
  • 88%auto-checked
  • LOT-40116Vantor Castings2,400Released
  • LOT-40187Brightline Polymers960Inspecting
  • LOT-40218Calder Extrusions1,800HeldD. Okafor
  • LOT-40244Ridgeway Fasteners640ApprovalS. Vance
  • LOT-40261Ashfield Coatings5,000Released
Agents connected
  • SAP
  • Microsoft Copilot
  • Claude
  • Microsoft Teams
  • Jira
  • Nanonets

Trusted by teams at leading enterprises

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

Top manufacturing teams
put Trail to work on:

  • PPAP submissions
  • Audit evidence pulls
  • Warranty claim triage
  • Incoming inspection
  • Non-conformance reports
  • Deviation requests
  • Material review board prep
  • CAPA tracking
  • Supplier corrective actions
  • First-article inspection
  • Engineering change notices
  • Work-instruction updates
  • Batch record review
  • Certificate of analysis
  • Calibration records
  • Rework dispositions
  • Line clearance checks

Turn a work instruction into a working agent — in one upload.

Import the quality spec, change-control procedure or deviation SOP your engineers maintain. Trail reads it, builds the agent, and shows which clause produced each rule.

  1. 01

    Import process docs

    Drop in the work instruction, quality spec or deviation procedure your plant already maintains — PDF, DOCX, scans.

  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.

Change procedure says §5.3

“…no revision of a controlled drawing may be released to production until the affected work instructions and inspection sheets have been reissued and the superseded revision withdrawn from every station; material already in process against the prior revision remains subject to the disposition recorded on the change notice…”

Trail extracts rule

If a change notice releases a new drawing revision, hold production until the work instructions are reissued and the prior revision is withdrawn.

Upload a work instruction 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 manufacturing teams automate draws from it, whether the work runs in autonomous agents or copilot chats.

DrawingsQuality specsERP / MESShift notesDeviation SOPs

Agents - run processes autonomously

Non-conformance agentQueued
  1. ObserveLOT-40218 | PN-7742 · Deviation procedure §7.2
  2. ReasonBore 0.40mm over the customer tolerance
  3. ActionHold set. NCR-2291 raised for quality
Incoming inspection agentQueued
  1. ObserveGRN-5512 | Calder Extrusions · Incoming quality plan §3.4
  2. ReasonSupplier on corrective action since March
  3. ActionSampling raised to 100%. Lot quarantined
Supplier quality agentQueued
  1. ObserveSCAR-118 | 30 days open · Supplier quality manual §9.1
  2. ReasonContainment accepted, root cause overdue
  3. ActionEscalated to the commodity buyer
CAPA agentQueued
  1. ObserveCAPA-0442 | PN-7742 · CAPA procedure §6.3
  2. ReasonThird occurrence this month on one bore
  3. ActionRe-check scheduled with owner and date

Copilot Chats - ask questions and run tasks

Copilot agentMCP

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

A batch measures 0.4mm outside spec on a component with a customer-specific tolerance from a supplier already on corrective action, flagged by the line lead last shift scrap, deviate or ship?

One question. Five kinds of context, each in a different system — the internal spec doesn't know the customer tolerance, and the ERP doesn't know what the line lead saw last shift.

How the Context Graph works →
  • Quality specs & work instructions

    Policy context · Which tolerance governs?

    Customer spec, tighter than internal

  • ERP / supplier records

    System-of-record context · Who supplied it, what's open?

    Supplier on corrective action since March

  • Measurement data

    Computed context · How far out, how often?

    0.4mm over · third occurrence this month

  • Shift notes & Teams

    Conversation context · What was already observed?

    Line lead flagged drift last shift

  • Deviation procedure

    SOP context · Who can sign a deviation?

    Quality manager · written customer notice

Connects to the agent platform you already use.

Point the agents your manufacturing 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 · Schneider Electric

“Verifying every requisition against its vendor quote by hand was tying up teams in dozens of countries. Nanonets extracts each quote so our automation confirms the match before the PO goes out… It's already freed up multiple full-time roles in Europe.”
Schneider Electric
Procurement Automation LeadSchneider Electric
Requisition-to-quote checks
~80 people automated
PR-to-quote match rate
90%+ of requisitions
Duplicate requisitions
~60% reprocessed skipped
Pages verified
500K in 4 months

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 manufacturing processes
into a competitive advantage.

Bring one work instruction and one real-life decision. 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 →