AI Use Cases
Explore specific automations we build for companies like yours. Each use case includes the problem, the solution, and what it costs.
Sales
Close deals faster with AI-powered signals, enrichment, and proposals.
Warm lead signals on WhatsApp
Sales reps manually check the CRM, email, and website analytics every day trying to figure out which leads are actually interested. Hot leads go cold because nobody notices in time.
Deep enrichment → custom outreach
Reps spend 15–20 minutes researching each lead on LinkedIn, Crunchbase, and Google before writing a generic outreach email that gets ignored.
Proposal generator
Creating a proposal takes 45+ minutes of copy-pasting from old proposals, adjusting pricing, and formatting. Deals stall while prospects wait.
Operations
Eliminate repetitive work and keep your team focused on what matters.
"What should I do next?" engine
Team members start every morning digging through Slack, email, and the CRM trying to figure out what's most urgent. Important tasks slip through the cracks.
Meeting autopilot
After every meeting, someone spends 30+ minutes writing notes, creating tasks, and sending follow-ups. Half the action items get forgotten anyway.
Learn what you do, automate it
Your team does the same 6-step process every Friday — copying data between tools, formatting reports, sending updates. Nobody has time to build a proper automation.
Finance
Automate expense coding, contract review, and cash flow forecasting.
Expense autopilot
Finance manually codes 120+ expenses per month — copying data from receipts into spreadsheets and the accounting tool. Miscodes cost hours to fix at month-end.
Smart contract review
Legal spends 2–3 hours reading each vendor contract. Risky clauses (auto-renewals, uncapped liability) get missed until it's too late to renegotiate.
Cash flow forecasting
The CFO builds cash forecasts manually in a spreadsheet every month. By the time it's done, the numbers are already stale and surprises still happen.
Customer Success
Detect churn early, onboard faster, and surface insights proactively.
Churn radar
Account managers don't realize a client is unhappy until they cancel. By then it's too late — the signs were there weeks ago across usage data, support tickets, and payment delays.
Smart onboarding
New customer setup involves 12 manual steps across 4 tools. Clients get stuck, steps get missed, and the support team scrambles to catch up.
BI that talks back
Leadership stares at dashboards full of charts but nobody connects the dots. Revenue is down 8% and it takes two weeks of digging to find out why.
Intelligence
Track competitors and market shifts without lifting a finger.