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AI Mission Control

Your work. Orchestrated.

We build the dashboards that run the business: a mission graph, a top-down building of agent employees, an ops console. Leads, ecommerce, support — agents trained on how you already work.

Our work ships under strict NDAs. We show what we know, not who we built it for.

Dashboard Missions Agents Tasks Workflows Integrations

Wholesale + cart recovery

High priority

Mission ID: ZB-2026-09-10-014

Research Agent

Market & industry research

16 Tasks
60%

Analysis Agent

Data & pipeline math

12 Tasks
67%

Sales Agent

CRM & pipeline

9 Tasks
45%

Leads Agent

Find, score, enrich

15 Tasks
81%

Commerce Agent

Cart & catalog

21 Tasks
75%

How do we fill wholesale
and recover the carts
this week?

Market intelligence Data insights Pipeline data Account list Feedback Store data
6 agents collaborating in real-time
24 Insights found 68% Mission progress

Live activity

  • Powered by Research seat · 2 min ago

    Research Agent

    Scanning 40 Ontario wholesale accounts

  • Powered by Analysis seat · 3 min ago

    Analysis Agent

    Comparing conversion by region

  • Powered by Support seat · 3 min ago

    Support Agent

    Reading 2,418 recent conversations

  • Powered by Commerce seat · 4 min ago

    Commerce Agent

    Queuing 22 cart-recovery notes

Key insights View all 24

Qualified leads

New wholesale accounts this week, concentrated in Ontario.

Ontario 28
Quebec 18
B.C. 11
Alberta 7

+28

Ontario lift ↑ Quebec warming ↑

Cart recovery

Abandoned checkouts returning after agent follow-up.

+12%

Recovered ↑ Time-to-cart ↓

Mission console

How do we fill wholesale and recover the carts this week?
I'm on it!
Assigned to 6 agents. Research is on the Ontario list. Commerce is already recovering 22 carts. Want credit checks routed to ops?
Ask anything…

Built around your business

AI that works the way your team does

Your people, processes, and tools shape the system. We design agents around real responsibilities, with clear goals, connected workflows, and human oversight.

Missions, not prompts

You give an objective. The system plans the work, assigns agents, and reports back. A prompt is a sentence. A mission is an outcome.

Agents for your roles

Sales, support, ops, research, merchandising — modeled on the seats you already have, not a pile of disconnected bots.

Grounded in your stack

CRM, inbox, store, docs, tickets. Permissions carried through. The model sees what that teammate would see — nothing more.

Growth you can measure

Leads created, carts recovered, tickets resolved, hours given back. If it does not move a number you care about, it does not ship.

Your work, in view

One mission. Three ways to see it.

Explore the mission graph, agent workspace, and operations console. These interactive examples show how your team can follow progress, coordinate agents, and manage the work.

Surface 01

Missions

Assign the week’s objectives. Each mission is a graph: a question in the middle, specialized agents around it. Switch missions — the roster, the progress, and the insights follow.

Surface 02

Agent building

A top-down office where every agent is an employee: at a desk, walking to the next room, or waiting at the human review gate. Operators see the swarm without opening a terminal.

Surface 03

Ops console

Sessions, gateway health, costs, spawn, logs, task board. The surface for keeping a live agent runtime honest.

01 · Missions

Assign a mission. Watch the graph form.

Dashboard is the live overview of one mission. This is the roster: silent accounts, a fall drop, cited support, demo routing — each with its own agents and its own graph.

Dashboard Missions Agents Tasks Workflows Integrations

Missions

4 running

Five live objectives. Each mission owns a different graph.

Win back silent accounts

High priority

Mission ID: MSN-8841

54% progress

Health Agent

Usage & login decay

14 Tasks
72%

Finance Agent

Renewal & margin

8 Tasks
49%

CSM Agent

Owner & next step

11 Tasks
63%

Outreach Agent

Call list & notes

19 Tasks
81%

Guard Agent

Do-not-contact rules

5 Tasks
90%

Which annual accounts
went quiet — and who
do we call first?

Account healthContract valueOwner mapCall queueTalk trackSuppression
6 agents on this mission
19 Insights found 54% Mission progress

02 · Agent building

Your agents, as employees in a building

Look down into the office. Research on the top floor, outreach and support in the middle, finance and the human review gate below. On a phone, drag to pan and pinch to zoom so the rooms stay readable. Tap an agent to talk to it.

03 · Ops console

Keep the swarm honest

What we build

From a knowledge layer to a full command center

Starting prices in CAD for a scoped production slice of that layer — trained on your work, not a demo dataset.

See the whole operation

Mission Control

01

A command center for your team. Assign a mission — fill the pipeline, lift conversion, clear the inbox — and watch specialized agents run it against your actual work.

  • Mission graph and agent coordination
  • Progress, insights, and operational visibility

Connect the work

Work orchestration

02

Agents designed around how your team already operates. Sales, ops, support, research — wired into your CRM, inbox, and tools, with human gates where the stakes demand them.

  • Agents shaped around team responsibilities
  • Connected tools and human review gates

Support your storefront

Ecommerce intelligence

03

Catalog, merchandising, cart recovery, order ops, and storefront support. AI that knows your SKUs, your margins, and what actually converts.

  • Catalog and merchandising intelligence
  • Cart recovery and order operations

Give every answer context

Support agents

04

Inbox, chat, and voice agents that resolve routine work and hand the rest to a human with full context. Grounded in your policies, not a generic script.

  • Policy-grounded inbox, chat, and voice
  • Human handoff with conversation context

Keep the pipeline moving

Lead generation

05

Find, score, and follow up. Inbound routing, outbound research, and a pipeline that does not go cold because someone forgot to send the next email.

  • Account research, scoring, and routing
  • CRM-connected follow-up workflows

Start with what you know

Knowledge layer

06

Your docs, tickets, SKUs, and wikis made answerable. Retrieval with citations and permissions, so the model speaks from your business instead of guessing.

  • Retrieval across your business knowledge
  • Citations and permission-aware answers

Each starting price covers a scoped layer. We agree on the workflows, integrations, and delivery plan with you.

Lead generation

A pipeline that does not go cold

Find the accounts, score them against how you actually sell, write the first note like a human who did the homework, and put the next step on a calendar. Inbound does not sit in a form overnight. Outbound is not a spray of identical emails.

  • Research and enrichment against your ICP
  • Scoring, routing, and CRM write-back
  • Follow-ups that stop when a human takes the thread
Start lead generation

Ecommerce

Intelligence on the store you already run

Your catalog, your inventory, your margins. Agents that answer from the product, recover the cart, flag the exception, and do not invent a SKU you do not stock.

  • Catalog Q&A and merchandising assistance
  • Abandoned-cart and replenishment sequences
  • Order ops and “where is my order” without a ticket pile
Start ecommerce intelligence

How we work

Map the work. Then hire the agents.

1

Map how you actually work

The CRM, the inbox, the store, the handoffs. We write the missions before we pick a model.

2

Design the agents

One agent per job. Tools, data, and approval gates. Your rules, not a vendor default.

3

Stand up Mission Control

The console, the live activity, the handoff to humans. Your team can see and steer from day one.

4

Measure and tighten

Evals, cost, and the numbers the mission was hired to move. Then we expand the roster.

Toolchain

What we build with

Models

  • Provider-agnostic APIs
  • Structured outputs
  • Eval suites
  • Cost and latency budgets

Data

  • RAG with citations
  • CRM & ticket sync
  • Catalog & inventory
  • Permission-aware retrieval

Orchestration

  • Queues, retries, gates
  • n8n / Zapier / Make / Power Automate
  • Webhooks & your APIs
  • Human-in-the-loop

Surfaces

  • Mission Control console
  • Slack / email / inbox
  • Storefront & admin
  • Voice when it earns it

Hooks into the tools your team already lives in.

n8n Zapier Make IFTTT Power Automate Slack Microsoft Teams Discord Telegram WhatsApp Twilio Intercom Zendesk Salesforce HubSpot Zoho Shopify WooCommerce Stripe PayPal Square Amazon BigCommerce Gmail Outlook
Notion Airtable Asana Jira Linear Trello ClickUp Confluence GitHub GitLab Dropbox Google Drive Google Calendar Google Sheets OpenAI Anthropic Gemini Hugging Face LangChain Mailchimp Mixpanel Meta Google Ads Google Analytics Calendly

Planning your AI platform

Start with the
right questions.

Understand the scope, integrations, and human oversight before you begin. Find answers about building AI around your team, your data, and your everyday operations.

Have a question about your setup?

Tell us about your team and the work you want to improve.

Talk through your requirements

7 questions, answered

No. Chat is one surface. Mission Control is orchestration: specialized agents that run your actual work — research, outreach, catalog, support, ops — with a console so a human can steer. A chatbot answers. This system finishes jobs.

Ready for Mission Control?

Building orchestration for your team?

Tell us the work, the tools, and the number you want to move. We will propose the agents and the engagement around that.

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