The enterprise intelligence layer for the project manager

Every decision, grounded in architectural reality.

A live co-pilot that grounds every draft ticket in the architectural reality of your system, before the decision leaves the room. Services touched, owners to loop in, prior attempts, calibrated LOE: every field populated at the moment the PM is actually deciding. The shortcuts you stop taking today are the technical debt your team isn't paying for next quarter.

Meetings· Decisions· Tickets· Architecture· Knowledge

01 · The problem

Every enterprise hits the same wall: decisions made in meetings, but the architectural context never survives the trip to the ticket system.

Services, owners, priors, risks, LOE: all of it dissolves between Google Meet and Azure DevOps. Engineering then spends the first half of the sprint rediscovering what the PM already discussed. The four failure modes below are each grounded in recent public research.

A · cost

~⅓

of every knowledge worker's day goes to searching for information the company already has. The most expensive meeting you never billed for.

source · Slack Workforce Lab, 2025
B · leakage

Context evaporates in 72 hours.

Services touched, upstream consumers, and the "we already tried that" precedent are gone from anyone's head by grooming. Task-switching alone drops productivity up to 40%.

source · Reclaim, 2026 guide on context switching
C · estimation

LOE is a vibe, not a number.

PMs estimate from a ticket title. Engineers re-estimate from the code. That gap is where roadmaps die. 44% of software projects overrun on cost or schedule.

source · Asana, 2025, citing PMI and Standish CHAOS
D · risk

Risks surface in review, not the room.

Shared auth dependency, deprecated webhook, adjacent on-call team: caught in sprint week three, not the meeting where the decision was made. DORA made rework rate its 5th official metric in 2025.

source · Faros on DORA 2025

02 · How it works

Four steps. Finished before the meeting ends.

Continuous ingest of your stack. Live listening in the meeting. Drafts at decision time. Write-back on PM approval.

Step 01 · continuous

Ingest the graph

Continuous ingest of services, tickets, ADRs, docs, Slack threads. Graph refreshes hourly. Eight extractor formats, including VSDX Visio.

ADOK8sSlackNotionGitHubVSDX
Step 02 · in the meeting

Listen for decisions

Joins Google Meet today. Zoom and Teams planned. Detects the moment scope is being decided and grounds it against the graph in real time.

decision detected00:14:02
Step 03 · live

Draft with context

Attaches services, owners, priors, risks, and a calibrated LOE, shown alongside the meeting, editable by the PM.

FEAT-5142 · Auto-route tier-1 requests4 svc · 2 owners · 1 prior · 14–18d
Step 04 · after

Write back on approval

Ticket lands in Azure DevOps today. Jira and Linear planned. Every field populated. Decision memory persists into the graph for the next meeting.

DRAFTREVIEWADOPM approves · ticket ships
Try it yourself in the interactive demo →opens /try-it · auto-cycling meeting

03 · Product tour

Two minutes of CrossLayer running against a real planning meeting.

Services touched, owners to loop in, LOE grounded in prior changes, risks flagged before the decision leaves the room. Video drops in here as soon as it's recorded. Want to poke at it yourself? The interactive demo is one click away.

live walkthrough · YouTube

Two-minute product tour

Video recording in progress. A link will drop here soon.

placeholder

04 · The graph + memory layer

This is the meeting intelligence of CrossLayer. Built on LLMs, grounded in your stack, activated in the room.

The same graph that ingests your architecture, decisions, tickets, and knowledge is what CrossLayer queries live during a meeting to suggest next steps and recall prior context. LLMs handle language. The graph handles truth. Every meeting insight flows back into the graph, so the next meeting starts smarter than the last.

LLM on top graph underneath closed loop back in
CROSSLAYER.GRAPH/LIVE
5 LAYERS · 14,281 NODES
48,102 EDGES · 47 PRIORS
CROSS-MEETING INTELLIGENCE
L5·MEETINGS
Google Meet · Zoom · Teams · Gong
LIVE
L4·DECISIONS
ADRs · Draft tickets · Scope notes
8 today
L3·TICKETS
Azure DevOps · Jira · Linear
32.4k
L2·ARCHITECTURE
Services · APIs · Ownership · SLOs
1,204 svc
L1·KNOWLEDGE
Confluence · Notion · SharePoint · Slack
128k docs
MICHAEL S. · PM activates the graph live in the meeting

// reference stack · enterprise demo manifest

One rack. Five layers. Every artifact your PM already argues about.

The counts shown are from a demo manifest we run against in walkthroughs, not production telemetry. On a real enterprise stack the orders of magnitude are similar: thousands of services, tens of thousands of tickets, six-figure document counts. CrossLayer stitches all of it into one addressable graph.

  • L5 Meetings live, listen-only: scope decisions detected at the moment they're spoken
  • L4 Decisions ADRs, scope notes, and draft tickets persist as first-class nodes
  • L1 to L3 substrate tickets, services and knowledge refreshed hourly
Closed loop · graph ↔ live meeting
· the graphpersistent
Five layers, one queryable truth

Architecture, decisions, tickets, knowledge, and past meetings. Refreshed hourly. Indexed for LLM retrieval.

archADRsticketsdocspriors
suggest · recall
decisions · LOE · priors
· live meeting● live
The PM is deciding right now

CrossLayer listens, queries the graph over an LLM, and returns suggestions, priors, risks, and LOE into the meeting surface.

suggestrecalldraftLOE
graph → meetingIntelligence flows into the room: the right service owner, the ADR that killed this idea last quarter, the realistic LOE pinned to 11 similar prior changes.
meeting → graphEvery approved decision, LOE calibration, and risk raised in the room is written back into the graph. The next meeting starts with more context than this one did.

05 · Integrations

Connected across the stack your PMs and engineers already live in.

One row per layer of the graph. Listen-only in meetings. CrossLayer never posts back to a meeting or a DM. Write-back only after PM approval. Self-hosted deployment planned for regulated stacks.

live todayplanned
L5
MeetingsGoogle MeetZoomplannedMicrosoft TeamsplannedGongplannedFirefliesplanned
listen
L3
TicketsAzure DevOpsJiraplannedJira CloudplannedLinearplanned
bi
L2
ArchitectureGitHubGitLabKubernetesBackstageOpenAPI specsVSDX (Visio)
read
L1
KnowledgeConfluenceNotionSharePointSlackGoogle Drive
read

07 · Get started

Ground your next planning meeting in the reality of your system.

Thirty minutes with us. We'll stand up the graph against a read-only copy of your stack and walk you through grounded drafts from a real meeting. No slides. A human replies within a business day from hello@crosslayer.ai.