Morgan connects to your company's tools, remembers everything about your business, and does real work for every department — with governance, citations, and a skills library that makes generic chatbots look like toys.
@Morgan where did we land on the Fieldstone rollout, and who's carrying it?
Fieldstone onboarding is at Phase 2 — connector auth complete, 90-day backfill running (est. 4 hrs). Owner: Priya Ramez. Next gate: first cited answer from their data, expected today by 2 PM. Sources: #delivery 2026-09-02, Zoom client sync 09-03 (34:10), rollout tracker.
Remember that their CEO prefers weekly updates, not daily.
Got it — saved to organizational memory: Fieldstone CEO preference = weekly cadence. This will apply to any scheduled briefs for that account. Memory write logged • audit ref mem_4412
Your team already uses AI chat tools. So why does a mid-size company need Morgan? Because a chat tool answers questions — Morgan runs operations.
It answers from the internet. Your company's knowledge — Slack threads, meeting decisions, proposal history, pipeline state — doesn't exist in its context. Every question starts from scratch.
Powerful reasoning, zero integration. It can't read your Slack, remember last week's meeting, or draft a proposal from your past work. Your team uploads files one at a time and loses context between sessions.
Connected to every tool, resolving every person, reading live pipeline state. Remembering every decision. Executing 56+ skills autonomously. Governed by your policies. Deployed as your own private instance. Not a chat tool — an operations engine.
From answering in Slack to running jobs on schedule, Morgan works across the tools your team relies on — and proves every claim with a citation.
Request work and get it delivered where your team already is — slash commands, @mentions, and DMs. Morgan answers in seconds and delivers finished work as threaded replies, with sources cited. Each person sees only what their access tier allows.
Morgan keeps persistent memory at two levels: personal memory for each user, and organizational memory for the business. Say "remember that…" and it's there next session. Everything it remembers is yours to view, edit, and delete — with a full audit trail.
Describe the job in plain language; Morgan matches it to the right skill from a catalog of 56+ — proposals, competitive digests, pipeline briefs, meeting prep, email triage — without being told which command to run. Below a confidence threshold, it falls back to a cited answer instead of guessing.
Whatever you do on repeat, hand it to Morgan: a Monday competitive digest, a daily source-freshness alert, a Friday pipeline brief, a weekly delivery roll-up. Adding a job is a configuration, not a code change.
Zoom and Fathom meetings flow in with summaries and transcripts on a daily early-morning ingestion window — verified over a 3-month, 600+ meeting run — and calendar events become activity. Ask "what did we decide about X" and get the answer cited to the call it happened in — a typed decision record with an action class, owner, and confidence. One person takes the meeting; the whole team gets the context.
Morgan connects to the team CRM through a live read adapter — verified against the production API — and keeps real pipeline state: deal status, days since last activity, owner, next action. Ask "what's stuck?" in Slack and get the answer with the CRM record cited. No one compiles it; the pipeline is just true.
Jordan in Slack, jordan@ in the CRM, and "the ops lead" in a meeting transcript — Morgan's identity graph resolves them to one person automatically, at 98%+ precision on auto-cases, and attaches every conversation, deal, and decision to the right human. When it can't resolve cleanly, it asks instead of guessing.
Morgan's skills library covers the work mid-size companies actually delegate — from inbox triage to proposal drafting to pipeline monitoring. Each skill is governed: it has an owner, an autonomy level, and an approval workflow.
A prioritized brief of overnight emails — VIP senders flagged, action items extracted, noise filtered. Delivered to Slack before your first coffee.
ScheduledMorgan drafts responses that match your communication style, grounded in the email thread and your company's approved language. You review, approve, send.
GovernedEvery meeting produces a structured brief: key decisions, action items with owners, open questions — cited to the exact timestamp in the transcript.
AutomaticBefore any meeting, Morgan assembles a one-pager: attendees, prior interactions, open commitments from past meetings, relevant documents. No more walking in cold.
On demandMeeting summaries auto-export to a formatted Google Doc in the right project folder — shareable, editable, already in the format your team delivers in.
AutomaticEach morning: today's meetings with prep context, scheduling conflicts flagged, and prep time blocked. Morgan reads your calendar and your company's context together.
ScheduledEvery deal's live state — stage, days since last activity, owner, next action — read directly from the CRM through a verified adapter. Delivered on schedule or on demand, cited to the CRM record.
ScheduledDescribe the opportunity; Morgan finds similar past proposals, drafts the full scope with reusable sections cited to sources, flags pricing for human input. Exports as branded .docx.
GovernedMissed a day? Morgan summarizes key channels — decisions, questions that need your input, action items — so you catch up in 2 minutes instead of 20.
ScheduledMorgan tracks commitments made in Slack, meetings, and documents — then reminds the right people before deadlines pass. No more "I thought someone else was on that."
AutomaticThe same person across Slack, CRM, and email resolves to one identity with a confidence score — so owner lookups, decisions, and continuity packets attach to the right human. Ambiguous matches ask instead of guessing.
AutomaticWeekly monitoring of competitor moves — pricing changes, product launches, hiring signals, press coverage — compiled into an actionable brief for leadership.
ScheduledEvaluating vendors? Morgan researches, compares, and produces a structured decision brief with pricing, capabilities, and risks — cited to source material.
On demandPreserve what one person knows: their active projects, open commitments, key relationships, and client context — cited, so an absence never blocks the work.
GovernedDelivery state across all deals and active projects, posted on schedule without anyone compiling it. What shipped, what's blocked, what's next.
ScheduledNew hires ask Morgan "how do we…" and get answers from approved policy documents only — with source, last-updated date, and staleness warnings. No more bad answers from outdated wikis.
GovernedShowing 16 of 56+ committed skills across 6 themes: Inbox Management, Meetings, Calendar, Deal Management, Team Communication, and Automation. Full catalog available in the demo.
Not just quick answers — real delegated work, grounded in your company's own record. These are the jobs mid-size operations leaders actually stop doing themselves.
Describe the opportunity; Morgan finds the most similar past proposals, drafts the full scope with reusable sections cited to their sources, and flags pricing for human input. Exports as branded .docx or .pdf.
Deal state, days since last activity, owner, and next action — read straight from the CRM through a verified live adapter and cited. Before 8 AM ET every morning, no one has to compile it.
Attendees resolved across Slack, CRM, and email; prior interactions, open commitments, and relevant documents — assembled automatically so no one walks in cold.
Governed answers from approved documents only, with source, last-updated date, and staleness warnings. New hires get right answers from day one.
Weekly signal digest: competitor pricing changes, product launches, hiring patterns, press coverage — compiled into an actionable brief for leadership.
Returned from vacation or a long meeting? Morgan summarizes Slack channels, key decisions, and action items — in 2 minutes instead of 20 minutes of scrolling.
Continuity packets: a person's active projects, open commitments, and key relationships — cited, so an absence never blocks the work.
Delivery state across deals and generated documents, posted on schedule without anyone compiling it. What shipped, what's blocked, what's next.
"What did we decide about X?" — typed decision records across meeting transcripts, Slack, and CRM show who decided what, when, why, and with what confidence.
Mention or DM a task — "compare these three vendors," "summarize this thread," "draft a brief on this client" — Morgan routes it through the right skill and returns governed output.
Weekly improvement lists mined from feedback and misses; accepted items ship through versioned evaluations. The system gets measurably better.
Agent-drafted documents land in a review queue. Approve or reject with reasons — the reasons feed the next version. Governed output, human judgment.
Two surfaces on one brain: Slack for the day-to-day, a web application for control and administration.
Slash commands, @mentions, DMs, and scheduled posts. The primary surface for requesting and receiving work.
Your control plane: connect tools, manage memory, review and approve agent output, watch usage and spend, administer your team.
Microsoft Teams rides the same gateway as Slack, as an adapter — same queue, routing, and tier enforcement. Shipped when the parity battery passes, never sold before.
Plus: Morgan exposes its search and generation as tools for your own AI stack — for enterprises building agents, Morgan plugs in rather than competes.
The governance layer isn't a feature page — it's the architecture. Grounded quality gates keep it honest: 51/51 golden questions and 2,392 tests pass before a release is called done.
Agent output enters a DRAFT → IN_REVIEW → APPROVED workflow with named approvers per instance. Tier permissions (BUSINESS / PERSONNEL / EXECUTIVE) are enforced at the database row level — a team user asking for executive content gets a governed denial, in Slack or the web app alike. Three workflow modes — STRICT, IN-BETWEEN, and YOLO — adapt to your team's culture without ever relaxing data classification. Before any write, a 10-gate runtime checks role, audit, and verification — every outcome is logged with an audit reference, high-risk classes are human-only, and a malicious note injected into a document or thread can never trigger a real action.
One Morgan instance per customer: your own deployment, database, Slack app, and credential namespace. No shared multi-tenant runtime, no cross-customer data flow — ever. Personal memory is provably inaccessible to other users, even under concurrent load.
Daily spend caps halt runaway jobs with an honest alert. Memory is viewable, editable, deletable, with a full audit trail. Connector tokens live in an encrypted custody layer, never in the application database or logs. Morgan prepares drafts only — it is not authorized to publish, email, contract, purchase, or alter live systems without approval.
A guided first-hour wizard takes a new admin from signup to cited answers — no engineering involvement.
Install Morgan's app into your Slack workspace, pick the channels, then connect Google Workspace, Zoom, and your CRM through a self-serve auth hub. Four connectors, under 15 minutes, zero IT tickets.
Morgan ingests 90 days of channel history, connected Drive folders, and meeting summaries — rate-limited so it never slows your team down — while you watch the progress live.
The same day, Morgan posts in a channel you choose with three questions it can already answer from your data — each with citations. Time-to-first-cited-answer: under 4 hours from signup.
Every deployment is its own instance — sized to your team, capped on spend, priced from observed unit economics.
The demo runs on a sealed instance seeded with a fictional company — ask it anything, test the governance, watch it work. No customer data, no shared credentials.