Your AI executive team, built for your business.
Every deployment is scoped by a human who understands your business, built against your real data, and refined through feedback. Governed by your judgment. Powered by their intelligence.
Trust is earned here. Never assumed.
Human-in-the-loop. By design.
AI that earns trust. Humans who keep control.
Every agent starts restricted and earns autonomy one stage at a time. You set the pace; they prove the judgment.
Learn how ETAM works →Based on your CFO's cash flow alert and the CRO's pipeline report, prioritize collecting on 3 invoices over $5K that are 45+ days past due. Your CMO's campaign can wait until cash position stabilizes.
Cross-department synthesis in one response
One conversation. Six departments.
Chat with any agent like you would a department head. Ask questions, give directives, delegate across teams. Your CEO can query every department in real time and synthesize a cross-functional answer in seconds. Start in the app. Continue the conversation anytime.
Explore Agent Chat →Your agents know your business.
Every agent carries your industry context, market position, competitor landscape, and business goals into every conversation. Five weighted intelligence signals shape every recommendation: internal metrics, cross-department data, market intelligence, owner knowledge, and historical patterns.
See how context works →Two agents work the problem. A third one checks.
Validation Agents run two independent analyses on the same input and only move forward when they agree. Shadow Clone lets you A/B test any agent configuration against live data for up to 7 days. Promote the winner, cherry-pick what works, or discard with zero risk.
See validation in action →Set the rules. Agents follow them.
Build automation rules with conditions, triggers, and actions. When a deal stalls for 48 hours, your CRO flags it. When an invoice hits 60 days past due, your CFO sends a reminder. Every automated action is ETAM-gated, so nothing fires until the agent has earned your trust.
Explore automation →From directive to delivered result.
Objectives across email, CRM, research, reporting, scheduling, and more. Every task follows a 4-step flow: choose the objective, provide instructions, review the output, approve or automate. Structured enough to be reliable. Flexible enough for any business.
See the Task Builder →Know your market before you make a move.
Agents research companies, enrich prospects, analyze competitors, and pull Census market data automatically. Every outreach, every strategy, every recommendation is grounded in real intelligence about your market, your geography, and your competition.
Explore research →Summit Comfort HVAC
Phoenix, AZ
Agent outputs become real-world actions.
When an agent produces a recommendation, it routes to the right tool: email sequences, CRM updates, Slack notifications, spreadsheet exports, calendar events, and more. Routes to HubSpot, Gmail, Google Sheets, Slack, and the rest of your connected tools. The bridge between thinking and doing.
See integrations →Connects to the tools you already use.
Connect your CRM, email, calendar, and the tools your team already uses. Most integrations are live within 24 hours.
HubSpot
Google Calendar
Gmail
Slack
Xero
GoHighLevel
Zapier
QuickBooks
Microsoft Teams
Zoho CRM
Asana
Meta AdsSix departments. One intelligent layer.
Every business runs on these six functions. AgentCLiQ gives each one a dedicated AI agent that monitors, learns, and acts on your behalf.
What CEO Agent monitors
- Cross-department performance trends
- Revenue vs. operational cost alignment
- Agent accuracy and override rates
- Strategic goal progress
Key signals it detects
- CMO spend up but pipeline flat
- CFO flagging margin compression
- Agent confidence dropping in one department
Example recommendation
“CMO reports demo requests up 34% but CRO conversion is flat. Recommend aligning sales enablement before scaling ad spend.”
Built for your industry.
We scope every deployment to your business. Here is what agent teams look like across different industries.
Every deployment is custom. These examples show how agent teams are typically structured.
Ready to build your CLiQ?
Start with a conversation. We learn your business and show you exactly what your AI executive team can do.