Pillars
6 areas where AI creates value
Conversion & sales
Qualify, route and engage leads before they leave.
Support & triage
Answer, classify and escalate — without friction.
CRM & workflows
Clean, enrich and automate your pipeline.
Content & SEO
Accelerate production without sacrificing quality.
Data & reporting
Turn raw data into actionable insights.
Monitoring & quality
Detect anomalies before they become problems.
Use Cases
Trigger → Action → Output
Examples of delivered automations
Lead → qualification → booking
Chat/form → scoring → calendar + CRM
Ticket → triage → response
Classification → draft response → human fallback
Email/PDF → extraction → CRM
Fields extraction → dedupe → pipeline update
Monitoring → alert → action
Tracking/404/anomaly → notify → fix backlog
Entry Point
Choose your entry point
We start with 1 high-impact case, then expand.
Architecture
How it comes together
Sources
Connecting to your existing systems without heavy migration.
- REST APIs / webhooks
- CRM
- internal databases
- Documents & files
E.g.: HubSpot + Gmail + Google Sheets connected in 1 day.
Approach
5-step deployment
What we need
Access to tools (CRM, helpdesk…)
1–2 points of contact
Samples (tickets, leads…)
Validation cadence
Toolbox
We integrate with your tools
LLM & assistants
ChatGPT · Claude · Gemini
Automation
Zapier · Make · n8n
CRM
HubSpot · Pipedrive · Salesforce
Chat & bots
Chatbase · Intercom · custom
Gmail · Outlook · Lemlist
Data & extraction
Sheets · Airtable · PDF parsing
Simple stack: 1 orchestrator + your tools + logs/monitoring. You keep ownership of accounts and data.
Trust
Guardrails & measurement
Security & governance
What we don't do
—Full autonomy without escalation
—Broad data access
—Non-auditable changes
What we measure
What we monitor
Response quality + escalation rate
Delays + errors
Logs + incidents
Deliverables
What you receive
Go further
AI Resources & Reading
Explore more