Nine ways teams
use CMND
Every one of these runs on the same building blocks: assistants, agents, knowledge bases and connections. Start with the use case that matters most to your team.
Customer support
Answer every channel at once, escalate only what matters
The problem
Your team answers the same forty questions across a website widget, WhatsApp and Instagram DMs, and nobody has the full history when a customer finally gets through to a person.
Solution
One assistant, backed by your help centre and policy documents, live in all four channels. It resolves the repeat questions instantly and hands the rest to your team with the whole thread attached.
What changes
- Repeat questions answered instantly, day or night
- Human handover with full context, mid-conversation
- Retrieval logs to show exactly which policy an answer came from
- Every conversation in one searchable place
Typically connects
Sales
Qualify and log every lead before a rep opens their laptop
The problem
Leads arrive from a dozen places, sit unqualified overnight, and get into the CRM half-filled, if at all.
Solution
An assistant qualifies inbound conversations against your criteria and captures the contact in-thread. An agent then writes it to your CRM, sets the follow-up, and drafts the first outreach email.
What changes
- Leads qualified the moment they arrive
- CRM records written automatically, complete
- Follow-up tasks and draft outreach ready for the rep
- Pipeline reporting straight from chat, as charts
Typically connects
Marketing
From a one-line brief to a scheduled campaign
The problem
Campaign production is slow and repetitive: the same drafting, the same variants, the same manual scheduling every week.
Solution
An agent turns a brief into subject lines, body copy and CTAs, generates A/B variants, and schedules the send. Performance comes back as charts in chat whenever you ask.
What changes
- Campaign drafts in minutes, on brand
- A/B variants generated automatically
- Sends scheduled against engagement data
- Performance on demand, no dashboard hunting
Typically connects
HR & internal ops
Stop answering the same policy question forever
The problem
HR spends its week on questions already answered in a document nobody can find, and onboarding depends on one person remembering every step.
Solution
Point an assistant at your HR documents and it answers policy, benefits and process questions in Slack. An onboarding agent walks each new hire through their steps and tracks what's done.
What changes
- Policy questions answered from your real documents
- Onboarding that runs itself and reports progress
- Answers stay consistent as policies change
- Sensitive knowledge scoped by team and workspace
Typically connects
Legal
A first-pass contract review in the time it takes to upload
The problem
Every contract needs a careful read against internal policy, and the queue is always longer than the team.
Solution
Upload the contract and an agent reviews it against your policy knowledge base, flagging non-standard clauses, missing provisions and risks in a structured report with recommended edits.
What changes
- Non-standard clauses flagged automatically
- Missing provisions caught before signature
- Structured reports with suggested edits
- Every review traceable to the policy it used
Typically connects
Productivity
Meetings that write themselves up
The problem
Half the value of a meeting evaporates because nobody wrote down the decisions or who owns what.
Solution
The meeting assistant joins the call, transcribes it, extracts action items, posts a structured summary to the right channel and files the transcript into a knowledge base you can query later.
What changes
- Summaries posted within minutes of hang-up
- Action items extracted with owners
- Transcripts searchable months later
- Tasks created in your tracker automatically
Typically connects
Finance
Ask your numbers a question, get a chart back
The problem
Routine financial questions turn into ticket queues for whoever can write the query, and the answer arrives as a spreadsheet nobody reads.
Solution
Connect your billing and accounting systems and ask in plain language. CMND queries them, reconciles what it finds, and answers with a chart and a table you can sort.
What changes
- Self-serve answers without SQL
- Charts and tables rendered in the thread
- Scheduled reports delivered on a cron
- Compute cost tracked per workload
Typically connects
Engineering
Triage, summarise and route without leaving the repo
The problem
Issues pile up untriaged, incident context is scattered across three tools, and someone has to write the release notes.
Solution
An agent triages new issues against your codebase docs, labels and routes them, summarises incident threads, and drafts release notes from merged pull requests.
What changes
- New issues triaged and labelled on arrival
- Incident summaries assembled automatically
- Release notes drafted from merged work
- Everything auditable, run by run
Typically connects
Data & analytics
The reporting layer your team will actually use
The problem
You built the dashboards and people still ask in Slack, because the question they have is never quite the chart you made.
Solution
Connect your warehouse and let people ask in plain language. CMND writes the query, runs it, and renders the result as the chart type that fits the question.
What changes
- Ad-hoc questions answered without an analyst
- The right chart chosen per question
- Recurring reports on a schedule
- Queries scoped by role, so access stays correct
Typically connects
Not sure which one fits? The marketplace has a ready-made blueprint for most of these. Deploy one and adjust from there.
Start with one assistant. See what it can handle for your team.
Try the full platform for seven days. Connect an app, point an assistant at your documents, and watch it answer real customers before you decide.
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